THE AGENTIC AI PROVIDER SYSTEM™
The 12-Month Business Transformation Experience for MSPs who’ve already monetised Copilot and are ready to productise agents + workflows into a managed AI revenue line.
This is for you if you're ready to go from being the IT support provider to being the Outcome Provider.
THE CHANNEL YOU WORK IN IS SHIFTING UNDER YOUR FEET
You’ve seen it already.
Clients have moved past the “What is AI and Copilot?” conversation.
What Clients Are Asking Now
  • "Can AI triage our tickets?"
  • "Can we automate this whole approvals process?"
  • "Can we use AI to handle renewals, invoices, quotes?"
  • "Can we build something that feels like a digital team, not just a chatbot?"
What They Want
  • AI agents
  • Custom apps
  • Deep integrations
  • Intelligent automation
  • Agentic workflows
  • Digital workforces
  • Ongoing AI operations they never want to manage themselves
The Shift Is Happening Now
Clients no longer want “AI literacy.”
They want AI capability delivered and managed by YOU.
1
Copilot is Phase 1.
If you’ve nailed Copilot adoption and governance, this is your next revenue jump.
2
Agentic outcomes are Phase 2.
The era of selling "workforces" (agentic AI) is beginning.
Here's the Risk
  • If you stay in "Manged IT Support" or "AI tool reseller" mode, you'll get left behind.
  • If you don't develop the capability to build and manage agentic systems, someone else will step into your clients' world and take that role.
This Isn't Five Years Away
It's already in your inbox.
The next era of the channel belongs to
Managed AI Providers.
And the partners who win are the ones who can build agents, workflows, integrations, and digital workforces safely and at scale.
WHY MSP'S ARE PERFECTLY POSITIONED
The Good News
You already hold the cards most AI "experts" don't:
  • You understand identity and access
  • You live in security and compliance
  • You know your clients' infrastructure and workflows
  • You're trusted with their data and risk
This makes you the unicorn in the AI industry. (But unicorns without a roadmap don't scale)
The Problem Is
  • No one has given you a clear roadmap for becoming a Managed AI Provider.
  • You've been left stitching together vendor webinars, random AI tools, and theory-heavy courses that never get close to what your clients are actually asking you to build.
This 12-month experience is the roadmap.
THE MANAGED AI PROVIDER:
Transitioning to a Managed AI Provider fundamentally reshapes your business model, moving from traditional service delivery to high-value, outcome-driven solutions.
1
BEFORE: The Traditional MSP/VAR
  • Selling licences, hours, or vague "AI services"
  • One-off projects with no expansion path
  • Margin pressure and constant price comparison
  • Reactive problem-solving, not proactive value creation
2
AFTER: The Managed AI Provider
  • Outcome-priced AI services delivering tangible ROI
  • Retainers tied to live, autonomous agentic systems
  • Embedded digital workforces ensuring client lock-in and deep integration
  • Strategic partner delivering competitive advantage through AI transformation
This shift allows you to move beyond commoditised services and become an indispensable strategic partner to your clients.
THE 7-STEP MATURITY MODEL YOU'LL GROW THROUGH
We follow the same journey your clients and the broader market are taking:
1
1. Copilot (Foundation)
Assistive AI, productivity, and trust.
2
2. AI App (Productised Utility)
One-purpose, high-value tools that solve specific problems.
3
3. Agent (Autonomy & Action)
AI that does things via APIs, not just answers questions.
4
4. Agentic Workflow (Process)
End-to-end workflows wired with AI – from trigger to outcome.
5
5. Multi-Agent System (Team)
Manager + specialist agents working together like a digital team.
6
6. Digital Workforce (Org Chart)
AI "employees" with roles, KPIs, responsibilities, and reporting.
7
7. AI-Driven Business (Strategy)
AI embedded as an operating model, not a bolt-on tool.
THE COMMERCIAL MODEL
Agentic AI delivers tangible business outcomes that clients will eagerly pay premium fees for, directly impacting their bottom line.
LAND
Start with 1–2 agents solving specific, high-impact problems to demonstrate immediate value.
EXPAND
Integrate intelligent workflows and additional agents across various client teams for comprehensive solutions.
WORKFORCE
Deploy 10–50 digital workers per client, creating a fully integrated and autonomous AI workforce.
The Land → Expand → Workforce Model
“Clients don’t pay for tasks — they pay for automated outcomes.”
This proven model increases client stickiness, multiplies recurring revenue, and positions your MSP as an indispensable strategic partner.
WHO THIS IS BUILT FOR
  • MSP owners who want to lead, not follow
  • VARs and resellers who want to move beyond licences and margins
  • IT & cloud service providers ready to step into AI services
  • If you know that reselling tools will not be enough in the next 3 years, this is built for you.
This is not a beginner program. You’re a fit if…
  • You’ve sold at least 1 paid readiness assessment and a Copilot solution.
  • You are comfortable to lead with readiness, data goverence and security before dep;oying AI.
  • You have already sold the AI Assistance layer such as Copilot.

This programme is NOT for you if:
• You’re looking for prompts, tools, or certifications
• You want to experiment rather than commercialise
YOUR 12-MONTH ROADMAP
Exactly What You'll Be Working On.
1
Q1 – FOUNDATION & AI APP
Copilot → AI App
2
Q2 – AGENT & AGENTIC WORKFLOW
AI App → Agent → Agentic Workflow
3
Q3 – MULTI-AGENT SYSTEM & ORCHESTRATION
Agentic Workflow → Multi-Agent System
4
Q4 – DIGITAL WORKFORCE & AI-DRIVEN BUSINESS
Multi-Agent System → Digital Workforce → AI-Driven Business
Copilot → AI App→ Agent → Agentic Workflow → Multi-Agent System → Digital Workforce → AI-Driven Business
Choose Your Transformation Engine
Two valid paths. One destination: Managed AI Provider.
1
The Power Pair (Recommended for Scale)
Who it’s for: MSPs with a dedicated technical lead or architect.
The Advantage: Parallel Velocity.
Your Strategic Lead focuses on pricing, packaging, and selling.
Your Technical Lead builds agents, workflows, and vertical solutions at the same time.
Why It Wins:
Eliminates the Translation Gap.
Sales momentum and technical delivery stay perfectly synchronised — accelerating revenue and deployment.
The Vibe: Divide and Conquer.
2
The Solo Implementer
Who it’s for: Boutique MSPs & owner-operators who stay hands-on.
The Advantage: Zero Friction.
No internal approvals. No delays.
You learn it. You build it. You deploy it — fast.
Full-Stack Authority:
Become the most capable person in the room — able to sell and architect the solution.
Why It Wins:
You leverage our “Cheat Code” templates and IP.
No blank pages. No guesswork.
Just assembling proven components with expert guidance.
The Vibe: Speed and Control.
Are SMB Clients (50–250 Users) Actually Paying For These Right Now?
Yes — but not from partners calling it “AI projects.”
They’re paying when it’s positioned as:
  • Process replacement
  • Capacity unlock
  • Risk reduction
  • Cost avoidance vs hiring
  • Operational acceleration
When it’s sold as “we’re implementing AI”, it dies.
When it’s sold as “we’re removing this bottleneck”, it closes.
What SMBs Are Actually Saying
(And How They Decide)
This is the real language:
  • “We can’t hire fast enough.”
  • “This process is killing us.”
  • “We’re drowning in admin.”
  • “We keep making the same mistakes.”
  • “We’re paying people to move data between systems.”
When an MSP says:
“We can remove that.”
£30k–£60k is not controversial.
The most important comparison - AI wins on risk, not just cost.
Here’s how SMB decision-makers think:
Reality check by price tier
AI App
(£5k–£10k + £300–£750/month)
100% normal. Already happening.
Comparable spends SMBs already accept:
  • SharePoint customisation
  • Power BI dashboards
  • CRM reporting add-ons
  • Knowledge base builds
Clients see this as:
“A small project that saves time.”
No resistance. This is easy money.
Agentic Workflow
(£25k–£45k + £1.5k–£3k/month)
Very realistic — this is the current sweet spot.
SMBs are already paying this for:
  • ERP customisation
  • Finance automation
  • PSA / CRM process rebuilds
  • Badly scoped “digital transformation” projects
The difference? Those projects often fail or overrun.
When you sell:
“This replaces one manual process end-to-end”
£30–40k feels reasonable, safer than hiring and cheaper than mistakes
This is where MSPs should be playing.
Multi-Agent System
(£50k–£80k + £3k–£5k/month)
Yes — but only for the right SMBs.
These are:
  • 75–250 users, growing, process-heavy, already spending on consultants or contractors
What clients compare this to:
  • Hiring 1–2 people (£80k–£120k/year fully loaded)
  • Outsourcing
  • Bloated SaaS stacks
When framed as:
“This avoids two hires and scales with you”
It lands.
This is not experimental spend — it’s operational.
Digital Workforce
(£80k–£120k + £4k–£8k/month)
Yes — but only for ~10–20% of SMBs. And that’s fine.
These are:
  • Growth-stage SMBs, private equity-backed, professional services, logistics / construction / healthcare admin-heavy or already paying consultants £100k+ per year
Key truth:
SMBs don’t fear £100k projects.
They fear hiring the wrong people.
This pricing works when:
  • hiring is painful
  • churn is high
  • growth is constrained by ops
  • trust is already built
Final verdict
  • Yes — these prices are realistic today
  • Yes — SMBs are paying this now
  • Yes — MSPs can sell this without rebranding themselves as consultants
But only if:
  • You sell outcomes, not AI
  • You qualify clients properly
  • You follow the AI Maturity ladder
  • You don’t force top tiers
QUARTER 1 – FOUNDATION & AI APP

Maturity Stage: Copilot → AI App
Goal: Turn AI curiosity into AI capability. Build your first paid AI audit and your first AI App.
MONTH 1 — Outcome Architecture™ & Process & Data Hygiene
Laying the groundwork for successful AI implementation by deeply understanding client needs and preparing their data for agentic workflows.
1
You'll Learn How To
  • Identify high-value problems clients will happily pay to solve
  • Define the true business outcome and reverse-engineer the workflow from it
  • Map real workflows (not the idealised ones clients “think” they have)
  • Assess data + process hygiene to confirm if automation is actually possible
  • Translate “We want AI” into “We want this outcome in this process”
  • Spot messy workflows/datasets — and package a paid Process/Data Rescue
  • Avoid the reasons 70% of AI projects fail (governance, messy workflows, unclear outcomes)
  • Apply Outcome Architecture™:
    Business Problem → Workflow → Agentic AI → Outcome & ROI
2
By the End of Month 1
  • An AI Readiness & Process Audit Playbook
  • A clear way to get paid for discovery
  • Defined outcomes + clean workflows/data ready for automation
  • Clarity on where AI actually belongs — and what must be fixed first
MONTH 2 — Trust, Safety & Governance
1
You'll Learn How To
  • Protect yourself when building "probabilistic software" (AI that can make mistakes)
  • Talk to clients about AI risk, governance, and liability like a pro
  • Set clear data boundaries and access controls for AI systems
  • Use contracts and templates to frame AI projects safely
We'll show you how to make trust one of your biggest sales assets.
2
You'll Build
  • An AI Governance Pack you can use with every client
  • A Liability Shield (MSA + SOW structures tailored to AI work)
  • Data handling and compliance docs that make boards and CISOs breathe easier
Legal Guest Expert
Walking you through legal, IP, liability and risk specifically for agentic AI.

By the end of Month 2, you'll have:
  • The legal + governance backbone to safely sell and deliver AI projects
  • A clear answer when clients ask "What happens if this goes wrong?"
MONTH 3 — Build Your First AI App
Now we make it real.
1
You'll Learn How To
  • Design a single-purpose AI App your clients can understand and buy (e.g. "RFP Assistant", "Policy Q&A", "Renewals Helper")
  • Keep it safe with guardrails and constraints
  • Embed it in environments your clients already use (Teams, M365, PSA, CRM)
  • Turn the app into IP you can leverage repeatedly
2
You'll Build
  • Your first proprietary AI App, based on a real use case
  • A demo you can show to new and existing clients
  • Basic documentation and packaging so it feels like a product, not a lab experiment
3
By the End of Month 3
  • A working AI App in production
  • A story you can tell and show ("Here's what we've built for others like you")
  • A product you can sell instead of only talking about AI in theory
✅ Q1 WIN: You'll have:
  • A paid AI Readiness & Outcome Roadmap offer
  • Governance + legal foundations
  • Your first AI App live in a client environment
QUARTER 2 – AGENT & AGENTIC WORKFLOW

Maturity Stage: AI App → Agent → Agentic Workflow
Goal: Move beyond "tools" and start building AI that actually does work inside real processes.
MONTH 4 — Build Your First Vertical Action Agent
You'll Learn How To
  • Choose a vertical (or two) you can win in – legal, finance, professional services, construction, etc.
  • Position your AI work as outcome-based, not generic tech
  • Build Action Agents that take steps inside systems (e.g. PSAs, CRMs, ticketing tools)
We'll shift you from: "We're building bots" → "We're building vertical outcome bundles."
You'll Build
  • A Vertical Niche Strategy – who you help and how
  • Your first Single-Task Action Agent, e.g.:
  • Ticket triage agent
  • Legal intake agent
  • Construction estimate helper
  • Collections or renewals assistant
  • An integration blueprint showing how the agent connects to your client's tools
By the End of Month 4
  • A clear vertical focus (or starting point)
  • An Action Agent that actually does something, not just chats
  • A starting point for your first vertical AI solution
MONTH 5 — Knowledge Fabric & Context Intelligence (Private RAG)
1
You'll Learn How To
  • Build a private Knowledge Base your agent can safely use
  • Use RAG (Retrieval-Augmented Generation) so the agent can pull the right information at the right time
  • Work with vector databases and memory layers to keep things fast and accurate
2
You'll Build
  • A vectorised knowledge base for a chosen vertical or specific client
  • Guardrails around what the agent is allowed to use and say
  • A Knowledge Engineering service you can offer as part of your portfolio

By the end of Month 5, you'll have:
  • A working Private RAG setup powering your Action Agent
  • A "brain" tied to your vertical offer, not just the model itself
  • A new billable service: Knowledge Fabric / Knowledge Engineering
MONTH 6 — Agentic Workflow: End-to-End Automation
1
You'll Learn How To
  • Attach your agent to a full business workflow, not just one action
  • Set up triggers, escalations, and human checkpoints
  • Log and document everything so you can show the value and the risk controls
2
Think Examples Like
  • Lead comes in → AI enriches → qualifies → drafts email → updates CRM → books a meeting
  • Ticket logged → AI categorises → proposes fixes → updates PSA → escalates if needed
  • Invoice received → AI validates → checks against PO → flags issues → routes for sign-off
3
You'll Build
  • A complete Agentic Workflow that removes 30–50% of manual touchpoints in a real process
  • Client-facing demos and documentation for that workflow
4
Guest Panel
You'll hear from real clients in sectors such as: Legal,Finance,Healthcare,Education,Professional services & SMB
Speaking directly about; What they want automated, What they fear about AI, & What they'll pay for.
By the end of Month 6, you'll have:
  • Your first Agentic Workflow in production
  • A vertical "Outcome Bundle" ready to take to market
Q2 WIN: You're no longer just "showing AI." You're running a real agentic workflow for a real client.
QUARTER 3 – MULTI-AGENT SYSTEM & ORCHESTRATION

Maturity Stage: Agentic Workflow → Multi-Agent System
Goal: Move from one agent to a digital team that can be trusted, observed, and improved over time.
MONTH 7 — Multi-Agent Systems (The Swarm)
1
You'll Learn How To
  • Design Manager + Specialist agents
  • Decide which parts of a process should be handled by which "role"
  • Have agents collaborate, not clash
Think:
Manager agent → Research agent → Drafting agent → Reviewer agent
2
You'll Build
  • A real multi-agent architecture for a client or vertical workflow
  • The logic that defines who does what and when
3
By the End of Month 7
  • A working multi-agent system, not just one agent bolted onto a process
MONTH 8 — Observability, Audit & Kill Switch
1
You'll Learn How To
  • Track what your agents are actually doing
  • Log decisions, actions, and outcomes
  • Build a Kill Switch so humans can pause or stop AI activity instantly
  • Turn all of this into trust-building evidence for boards and executives
2
You'll Build
  • An AgentOps Dashboard (or equivalent) that shows activity and outcomes
  • Logs and audit trails that make risk and compliance people comfortable

By the end of Month 8, you'll have:
  • A visible, explainable AI system
  • A way to sit in front of a board and answer "What exactly is the AI doing?"
MONTH 9 — Lifecycle Management & Recurring Revenue
1
You'll Learn How To
  • Monitor AI performance over time
  • Spot when agents are drifting or degrading
  • Retune and improve agents as things change
  • Package all this into a recurring AI Management Retainer
2
You'll Build
  • A Lifecycle Management Framework for your agentic systems
  • A scoped, priced AI Management Retainer you can sell across multiple clients
3
Guest Panel
You'll hear from MSPs already further down this road:
  • What they're charging
  • What's working
  • What blew up
  • What they'd do differently now
By the end of Month 9, you'll have:
  • A multi-agent system and a recurring revenue offer to support it
Q3 WIN: You've moved from one-off AI projects to managed, recurring AI services.
QUARTER 4 – DIGITAL WORKFORCE & AI-DRIVEN BUSINESS

Maturity Stage: Multi-Agent → Digital Workforce → AI-Driven Business
Goal: Turn your work into something the C-suite see as strategic – a digital workforce and AI operating model.
MONTH 10 — Digital Workforce Architecture
1
You'll Learn How To
  • Translate your agents and systems into AI job roles
  • Define KPIs and metrics for each digital role
  • Draw a digital org chart showing where AI fits into the business
2
You'll Build
  • A Digital Workforce Blueprint for a specific client or vertical
  • 3–5 clearly defined AI roles (e.g. AI SDR, AI CSM, AI Ops Tech, AI Billing Coordinator)

By the end of Month 10, you'll have:
Something you can put in front of a CEO and say: "Here's what your AI workforce actually looks like."
MONTH 11 — Change Management & Human Alignment
You'll Learn How To
  • Handle human pushback and fear around AI
  • Communicate clearly with teams about what AI is and isn't doing
  • Redesign roles and teams around AI + human collaboration
  • Position yourself as a transformation partner, not just a supplier
You'll Build
  • A Change Management Playbook you can re-use across clients
  • A human-in-the-loop model specific to your digital workforce approach
Guest Panel
CIOs and COOs who've led real transformation projects:
  • What they want from partners
  • Why they choose some and ignore others
  • How they think about digital workforces

By the end of Month 11, you'll have:
The tools to lead conversations at C-level, not just IT level
MONTH 12 — Launch Your AI-Driven Business
You'll Learn How To
  • Pull everything together into a coherent AI services catalogue
  • Package Digital Workforce-as-a-Service (DWaaS) offers for one or more verticals
  • Design campaigns and conversations to launch your new AI capability into your existing client base
You'll Build
  • A full AI Services Portfolio
  • DWaaS offers for your chosen vertical(s)
  • A launch and GTM plan for the next 6–12 months
By the End of Month 12
  • A market-ready Digital Workforce offer
  • A complete commercial engine behind it
Q4 WIN: You're not dabbling in AI. You've become a Managed AI Provider with a digital workforce offering and a plan to scale it.
WHY THIS SYSTEM WORKS
Our Managed AI Provider System is meticulously crafted to empower MSPs, focusing on practical implementation, measurable outcomes, and sustainable growth. Here's why it stands out:
1
Built for the Channel
Designed specifically for Managed Service Providers (MSPs), ensuring seamless integration with existing service models and unlocking new revenue streams.
2
Governance & Security First
Grounded in robust governance and identity-first security, guaranteeing compliance and protecting client data from the outset.
3
Outcome Architecture™
Leverages a unique Outcome Architecture™ to deliver tangible business results, moving beyond abstract "ideas" to concrete value.
4
Tech & Commercial Execution
Combines cutting-edge technical AI builds with clear commercial strategies, ensuring that innovation translates into profitability.
5
Creates Your IP
Empowers you to develop proprietary intellectual property, reducing vendor dependence and strengthening your market position.
6
Real Deployments
Focuses on building functional, real-world AI deployments, not just theoretical concepts or proofs of concept.
7
Drives Retention
Engineered to foster deep client stickiness and recurring revenue, transforming one-off projects into long-term partnerships.
8
Upskills Engineers
Future-proofs your team by upskilling existing engineers into AI specialists, eliminating the need for costly data science hires.
9
Frictionless Ecosystem
Our ecosystem, including labs, intensives, and expert panels, removes implementation barriers and accelerates adoption.
10
Complete Operating System
Provides partners with a comprehensive, ready-to-use Managed AI operating system, a crucial advantage that vendors often overlook.
This holistic approach ensures you deliver unparalleled value, secure premium fees, and establish your MSP as a leader in the Managed AI space.
DELIVERY & OPS
How the Experience Will Actually Work for You
WHAT YOUR YEAR LOOKS LIKE IN PRACTICE
The AI Tech Track The AI Strategic Track
Monthly AI Build Labs
Where you actually build the AI assets with guidance
Bi-Weekly Strategic Sessions
Focused on positioning, pricing, packaging, and vertical strategy
Office Hours / Unblock Labs
To get help with real client scenarios and builds
Quarterly 2-Day Intensives (in person)
To go deep, connect with peers, and learn from experts
Always-On Peer Community
Your private Agentic AI brain trust
Marketing & Lead Gen Hub
To help you actually sell what you build
Monthly AI Build Labs
Your Technical Lead will build directly alongside experts, transforming theory into tangible AI assets.
1
You'll build:
  • AI apps
  • Action agents
  • RAG systems
  • Agentic workflows
  • Multi-agent systems
  • Digital workforce roles
2
How you'll build it:
  • LIVE with expert support
  • Hands-on engineering
  • Real-time guidance
  • No theory, no "watch later"
We don't do "Death by PowerPoint." We operate a Living Lab Environment.
Office Hours AI Labs
Submit your builds for review, bring your stuck workflow, client challenge, or build. We solve it live.
No more trying to figure things out by yourself, you have an expert on hand to help you move forward with your build.
Bring Your Builds
Get expert review and guidance on your AI applications and agents.
Stuck Workflows
Address any workflow challenges for live, collaborative problem-solving.
Client Questions
Overcome implementation hurdles and address specific client scenarios.
Get Unstuck Live
Receive immediate, practical solutions to keep your projects moving forward.
This removes 90% of the friction MSPs normally face.
THE PEER COMMUNITY: YOUR PRIVATE AI CHANNEL BRAINTRUST
You'll be in a community with other partners who:
Are already selling AI projects
Are mapping real workflows
Are doing the same kind of work you want to do
#Technical-SOS
Get unstuck fast
#Use-Case-Lab
See what others are building, share ideas
#Marketing-Hub
Swap campaigns, messaging, lead gen ideas
#Build-Showcase
Show your agents/apps, learn from others
#The-Wins
Celebrate deals, launches, breakthroughs
This is where relationships, referrals, and collaborations happen.
Bi-Weekly Strategic Sessions
The Commercial Track: Become the AI Strategist in Your Region
1
For the Owner / Commercial Lead, we cover:
  • Outcome-based selling
  • Pricing and packaging
  • Go-to-market and campaign angles
  • Verticalisation and positioning
  • Transformation advisory
  • AI operating models for clients
2
Your Strategic Lead will learn how to:
  • Sell agentic projects with confidence
  • Price based on outcomes, not hours
  • Run agentic discovery sessions
  • Build a coherent AI services catalogue
  • Turn builds into recurring revenue
  • Lead AI transformation inside client organisations
We'll also address the commercial reality:
  • How to structure compensation / equity for your AI Technical Lead so they stay
  • How to solve the sales friction of going from £150/user/month SaaS to a £50k AI project
You'll learn the Land → Expand model:
Audit
£5k
Pilot
£15k
Custom Agentic Workflows & Agents
50k+
No more trying to sell a £50k system cold to an unprepared client.
The 2-Day In Person Quarterly Intensives
Where the biggest breakthroughs in the Agentic AI Provider System™ happen.
1
The Intensive Experience
Two days away from the noise. Two days in a luxury venue. Two days to think, build, and connect at a level you simply cannot access inside the day-to-day grind.
These intensives are where partners tell us the real breakthroughs happen.
2
Key Outcomes
What Happens
  • Share what’s working and what isn’t
  • Showcase your apps, agents, and workflows
  • Learn how other partners built and sold theirs
What You Gain
  • Refine your offers, messaging, and roadmap
  • Build relationships and collaborations with peers who are as serious as you are
3
The Social Side
Partners tell us that the bar conversations, the dinner discussions, and the “pull up a chair” moments are where the biggest insights drop.
That’s why:
  • Dinner & Drinks on the evening of Day 1 are fully included.
4
More Than a Conference
This is not a conference.
This is not a vendor roadshow.
This is not PowerPoint theatre.
This is:
  • Peer-to-peer strategy, build, and reinvention — in a luxury environment designed to expand your thinking and accelerate your execution.
You’ll walk out of every intensive sharper, clearer, more confident, and more connected than when you walked in.
These intensives aren’t about learning.
They’re about becoming the MSP your clients are already searching for —
a true Managed AI Provider leading the Agentic AI era.
Guest Experts & Panels
Every quarter we bring in guest speakers and experts to our 2 day intensives. These are selected based on feedback and requests from partners in the program.
1
Quarter 1
Legal & Compliance
Legal, compliance, liability, IP and risk frameworks for Agentic AI.
2
Quarter 2
Vertical Client Panels
  • What they want automated
  • What they fear
  • What they will pay for
  • How to win their trust
3
Quarter 3
MSPs Already Ahead
Live case studies from MSPs building agents, workflows, and digital workforces right now.
4
Quarter 4
Transformation Leaders (CIO/COO Panel)
How to position yourself as a strategic AI transformation partner, not just an IT vendor.
MARKETING & LEAD GEN HUB
You'll get support with:
1
  • Offers your clients understand
  • Discovery workshops you can run
  • Webinars and talks you can deliver
  • Sales messaging that goes beyond "do you want some AI?"
Because having capability is useless if you don't have pipeline.

We help you go from:
"We could probably do something with AI"
to
"Here is our AI Readiness Audit, our Vertical Outcome Bundle, our Agentic Workflow package, and our Digital Workforce offering."
EVERYTHING YOU GET: TECHNICAL + COMMERCIAL
TECHNICAL TRACK
(Builder / Architect)
Build the capability. Build the IP. Build the systems.
You Get:
  • Monthly AI Build Labs
  • Office Hours AI Labs
  • Technical-SOS Community
  • Knowledge Engineering Foundations
  • Deployment Frameworks
Technical Deliverables:
  • AI App
  • Action Agent
  • Agentic Workflow
  • Multi-Agent System
  • Digital Workforce Roles
  • Observability Dashboard
  • Lifecycle Management Framework
COMMERCIAL TRACK
(Owner / Strategist)
Sell the outcomes. Lead the transformation. Own the category.
You Get:
  • Bi-Weekly Strategic Sessions
  • Marketing & Lead Gen Hub
  • Use-Case & Offer Labs
  • Transformation Consulting Tools
Commercial Deliverables:
  • AI Readiness Audit
  • Outcome Architecture Playbook
  • Vertical Outcome Bundles
  • Digital Workforce-as-a-Service Offer
  • Full AI Services Catalogue
  • Change Management Playbook
  • Pricing Models + Proposal Templates
Quarterly 2-Day Intensives (For Both Tracks)
Two days in a luxury venue to disconnect from the noise, collaborate with peers, refine strategy, showcase builds, and accelerate execution. This is where the biggest breakthroughs — technical and commercial — happen.
What You Can Realistically Sell
Realistic AI Monetisation for 50–250 User SMBs (One client per quarter. One outcome sold per quarter.)
This is the baseline case, not best case. Each quarter represents a proven, commercial pathway for MSPs serving small-to-medium businesses. These pricing structures reflect real-world implementations, grounded in what SMB decision-makers actually approve and deploy.
Q1 – AI App
A single, contained AI capability that saves time without risk.
Examples
  • Policy / knowledge assistant, Renewal insights, Reporting summariser, RFP helper
Pricing (50–250 users)
  • AI App build: £5,000 – £10,000 (£7500)
  • Ongoing support & tuning: £300 – £750 / month (£500)
Q1 value
  • Upfront: £7,500
  • MRR (12 months): £6,000
👉 Q1 total: £13,500
Q2 – Agentic Workflow
One full business process they no longer manage manually.
Examples
  • Invoice handling, Ticket triage, Lead qualification, HR onboarding
Pricing (50–250 users)
  • Workflow build: £25,000 – £45,000 (£35,000)
  • Managed AI Ops: £1,500 – £3,000 / month (£2000)
Q2 value
  • Upfront: £35,000
  • MRR (9 months): £18,000
👉 Q2 total: £53,000
Q3 – Multi-Agent System
A small digital team for one department (not the whole company).
Examples
  • Finance ops, Sales ops, IT ops, Admin / compliance
Pricing (50–250 users)
  • AI App build: £50,000 – £80,000 (£65,000)
  • Ongoing support & tuning: £3,000 – £5,000 / month (£4000)
Q3 value
  • Upfront: £65,000
  • MRR (6 months): £24,000
👉 Q3 total: £89,000
Q4 – SMB-Scaled Digital Workforce
Important: Not every 50–250 user business buys this. But enough do to make it realistic as an optional Q4 outcome.
2–3 defined AI roles replacing the need to hire.
Pricing (SMB-scaled)
  • Digital Workforce programme: £80,000 – £120,000 (£100,000)
  • DWaaS retainer: £4,000 – £8,000 / month (£6000)
Q4 value
  • Upfront: £100,000
  • MRR (3 months): £18,000
👉 Q4 total: £118,000
12-Month Revenue Reality
Realistic revenue potential for MSPs serving 50–250 user SMBs over a 12-month period, demonstrating stacking value and momentum.
£207,500
Total Upfront Revenue
  • Q1: £7,500
  • Q2: £35,000
  • Q3: £65,000
  • Q4: £100,000
£12,500
Total MRR at Month 12
  • AI App: £500
  • Workflow Ops: £2,000
  • Multi-Agent Ops: £4,000
  • Digital Workforce: £6,000
£150,000
ARR going into Year 2
This represents a robust recurring revenue stream.
These examples assume SMB clients between 50 and 250 users. Not every client buys every stage. Most MSPs land at AI Apps and Agentic Workflows first, and expand only where operational pain justifies it.
Agentic AI Provider System™ — Investment Options
Explore the partnership investment options designed for scaling your Agentic AI capabilities, tailored for different team structures.
Core Partner (2 people)
Owner + Technical Lead
Solo Partner (1 person)
Owner or Technical Lead
Notes
  • Early Commitment pricing is time- or seat-limited
  • Copilot Alumni pricing includes a £1,500 progression credit
  • Monthly plans carry a ~15–17% flexibility premium
  • Solo seats are capped per cohort to protect delivery quality
  • Programme duration: 12 months
Return on Investment Example
Core Partner Investment: £25,000
This example assumes:
  • An MSP selling to 50–250 user SMB clients
  • ONE monetised AI engagement per quarter
  • No hero deals
  • No enterprise clients
  • No aggressive upsells
  • Just sensible progression through the ladder
What You Will Invest
Total Year 1 Investment
~£30,000
We’ll round up for realism.
What You Will Generate (Conservative Case)
1
Q1 – AI App
A safe first sale most SMBs say yes to
  • AI App build: £7,500
  • Support & tuning: £500 / month
Q1 return
  • Upfront: £7,500
  • Recurring (12 months): £6,000
  • 👉 £13,500 total
At this point, over 50% of the programme cost is already recovered.
2
Q2 – Agentic Workflow
One process removed end-to-end
  • Workflow build: £35,000
  • Managed AI Ops: £2,000 / month
Q2 return
  • Upfront: £35,000
  • Recurring (9 months): £18,000
  • 👉 £53,000 total
The programme is now fully paid for — twice over.
3
Q3 – Multi-Agent System
Department-level automation
  • Multi-agent system: £65,000
  • AgentOps retainer: £4,000 / month
Q3 return
  • Upfront: £65,000
  • Recurring (6 months): £24,000
  • 👉 £89,000 total
4
Q4 – Digital Workforce (Optional, Not Assumed)
Only sold where it makes sense
  • Digital Workforce programme: £100,000
  • DWaaS retainer: £6,000 / month
Q4 return
  • Upfront: £100,000
  • Recurring (3 months): £18,000
  • 👉 £118,000 total
12-Month Revenue Summary & ROI
12-Month Revenue Summary (One Sale Per Quarter)
ROI on a £25,000 Investment
Effective Return
14x+ return on programme investment
(using conservative assumptions)
Even without selling Q4's Digital Workforce you will still generate:
  • ~£155,000 total value
  • a 6x+ return
Most partners recover the cost of the programme in Q1 or Q2. Everything after that becomes margin, recurring revenue, and long-term leverage.
The Time Investment
Built for "Time-Poor" MSPs. Designed for ROI on Hour 1.
We know the reality of running an MSP. You are fighting fires, managing tickets, and handling clients. You do not have time for a theoretical course that requires 20 hours of study a week.
That’s why we didn't build a course. We built a Production System.
The Agentic AI Provider System™ is engineered to fit into your existing operating rhythm. We use a "Low-Friction, High-Impact" schedule that respects your billable time.

The "Time-Neutral" Promise
How we pay back your time in Month 1.
Your biggest fear is pulling your best engineer off the helpdesk. We solve that immediately.
The first asset your Technical Lead will build in Month 1 is an Internal Triage & SOP Agent for your own MSP.
  • The Investment: ~10 hours of learning and building.
  • The Return: This agent automates ~5–10 hours of L1/L2 triage work every single week moving forward.
By Month 2, the program is effectively "free" in terms of time, because your Tech Lead has automated away their own low-value admin work.
The Monthly "Time Budget"
We have split the workload so nobody is overwhelmed. You stay strategic; your team gets technical.
1
For the Strategic Lead (Owner / Sales Director)
Your Goal: Strategy, Pricing, Packaging, Selling.
Time Commitment: ~4 Hours Per Month.
You are not coding. You are packaging outcomes.
  • Bi-Weekly Strategy Session: 60 Mins (High-impact strategy).
  • Quarterly Intensive: 2 Days (Deep work away from the office).
  • Result: You replace low-value sales meetings with high-value transformation consulting.
2
For the Technical Lead (L2/L3 Engineer)
Your Goal: Building, Testing, Deploying.
Time Commitment: One "Sprint" per Month + Weekly Maintenance.
We don't want them dabbling daily; we want them sprinting monthly.
  • The Monthly Build Lab: 3 Hours (One Friday morning per month).
  • Office Hours/Unblocking: 1 Hour (Drop-in, only if needed).
  • Internal Build Time: ~2–4 Hours/week (Applying what they learned).
The "No-Blank-Page" Guarantee
We do not ask your engineer to code from scratch. That takes too long.
In every Build Lab, we provide the Templates, JSON Code, and Azure Blueprints.
They are configuring, not coding.
This reduces build time by 80%.
"What if we get busy and miss a session?"
We know that in an MSP, if a server goes down, the training stops. We have accounted for that.
Everything is Recorded:
Miss the Live Lab? Watch it at 2x speed when the crisis is over.
The "Cheat Codes":
We upload the Finished Build Files at the end of every lab. If your engineer falls behind, they can import the finished asset and catch up instantly.
Always-On Community:
Stuck on a Tuesday? Don't wait for the next class. Post in the #Technical-SOS channel and get unstuck by peers and experts.
The Hard Truth on Timing
1
Option A: The DIY Route
You hire a Python Developer (£100k/year min).
You spend 6 months trying to figure out how to sell it.
You spend 3 months building a custom stack.
  • Total Time: 9+ Months before first revenue.
  • Total Risk: High.
2
Option B: The Agentic AI Provider System™
You use your existing L3 Tech.
You use our Blueprints.
You use our Contracts.
You sell your first Audit in Month 1 and your first App in Month 3.
  • Total Time: 8 Hours/Month.
  • Total Risk: Low.
You don't need "more time."
You need a system that respects the time you have.
FAQ's
Business Impact Questions
1
Q: Can we actually build AI apps, agents, and workflows — or is this too advanced?
A: Yes. You build everything live inside the Monthly AI Build Labs — AI Apps, Action Agents, RAG systems, Agentic Workflows, Multi-Agent Systems, Digital Workforce roles. If your engineers understand logic and APIs, they can do this.
2
Q: How fast can we deliver something real to a client?
A: In 8–10 weeks. By the end of Q1, you’ll have a paid Readiness Audit, mapped workflows, and your first AI App deployed.
3
Q: What if the client’s data or workflows are a mess?
A: Month 1 solves this. You diagnose broken workflows, assess data gaps, run Process/Data Rescue, and align everything to the client's desired outcome. Outcome Architecture™ = Business Problem → Workflow → Agentic AI → Outcome & ROI.
4
Q: Do we need to hire a new team?
A: No. Owners lead strategy. L2/L3 engineers lead builds. Or join as a Solo Implementer. No additional hiring required.
5
Q: Will this work for SMB clients?
A: SMBs are the BEST fit. They want automation, efficiency, and outcomes — not internal AI teams.
Strategic Questions
Q: What do we walk away with after 12 months?
A: AI App, Action Agent, Agentic Workflow, Multi-Agent System, Digital Workforce Blueprint, Vertical bundles, AI Readiness Audit, Change Management Playbook, Retainers, Pricing + Proposals, and your entire AI Services Catalogue.
Q: How does this compare to AI courses or vendor training?
A: Courses teach theory. Vendors teach tools. This program teaches you to build, package, sell, and deliver governed AI outcomes — at a commercial level.
Q: What happens if we don’t build this capability?
A: Someone else will. Competitors, startups, freelancers, or consultancies will step into the AI space your clients are demanding. This is the biggest channel shift since Cloud.
The Agentic AI Provider System™ — The Tech Stack FAQ
An Azure-Native, Low-Code Architecture Built for MSP Speed & Enterprise Governance.
1
Do I need a Python developer or Data Scientist?
No.We rely on visual orchestration, not raw code. If your L2/L3 engineers understand logic and APIs, they can master this stack.
  • No expensive AI hires
  • No data scientists
  • Your current team becomes AI-capable on top of the Microsoft stack
2
Is this Azure Integrated?
Absolutely — Azure is the foundation.
Our agents drive consumption and utilisation of:
  • Identity: Microsoft Entra ID
  • Intelligence: Azure OpenAI Service
  • Security: Defender + Sentinel logs
Your orchestration layer drives value back into the tenant.
3
Is this safe? My clients fear “Shadow AI.”
This is the opposite of Shadow AI.
The Compliance Sandwich™:
  • Top Layer: Entra ID — Agents cannot act without identity authentication.
  • Middle Layer: Visual Orchestration — Full audit traceability of every decision.
  • Bottom Layer: Human-in-the-Loop — Critical actions require approval via Teams.
The Result: You inherit Microsoft’s military-grade security, you don’t bypass it.
4
Who owns the Intellectual Property (IP)?
You do — completely.
Unlike reselling a SaaS tool, you own the orchestration logic and prompt chains. If a client leaves, their digital workforce stops working. This creates:
  • Higher Retention (Sticky services)
  • Higher Valuation (Owned IP)
  • A defensible competitive moat
5
How does this fit with Copilot Studio?
We teach Right Tool, Right Job.
  • Copilot Studio: Best for conversational interfaces + knowledge retrieval
  • Hybrid Stack (Make.com + Stack AI): The “engine room” for orchestration, logic, and multi-step workflows
Hybrid Advantage:
Copilot + Teams as the front end.
Hybrid Stack doing the heavy lifting behind the scenes.
6
Where Each Tool Fits
Azure / Microsoft Layer
Identity • Security • AI Models
(Entra ID | Defender | Sentinel | Azure OpenAI)
Governs
MCP Access Layer (Implicit, Not Loud)
Secure, permissioned access to tools, APIs, and systems
Orchestrated by
Orchestration Layer - Make
Logic • Routing • Workflow Execution
Powered by
Stack AI — Intelligence Layer
Reasoning • Model Flexibility • Agent Logic
Surfaced in
Copilot Studio + Teams — Interaction & Oversight Layer
Conversation • Approvals • Kill Switches • Audit
Engineered for the Channel.
Secured by Microsoft.
Owned by You.
Fast to build. Safe to deploy. Flexible to scale.
Why This Program Will Transform Your MSP
If you’ve reached this point, you already know the truth: Agentic AI isn’t coming — it’s here. Your clients are moving fast, and the channel is splitting into two groups: those who adapt… and those who get replaced.
The Agentic AI Provider System™ is your path into the top 10% of partners who will lead the next decade. Inside this 12-month transformation, you will build:
1
Repeatable Revenue
A real AI services business model with predictable income.
2
Proprietary IP
Unique, owned intellectual property that gives you a competitive edge.
3
Deployable Solutions
Ready-to-implement apps, agents, workflows & multi-agent systems.
4
Digital Workforce Offering
A high-value service that gets you into client boardrooms.
5
Commercial Engine
Built for high-value, high-margin AI projects.
6
Managed AI Provider™
The capability and confidence to be a true industry leader.
This isn’t training. This isn’t theory. This is a business model upgrade and a category-leadership opportunity. Only a small number of partners will take it.
Secure Your Region: Apply for the Next Cohort
This is an application-only programme. We only accept partners who are fully committed to becoming the next generation of Managed AI Providers and we are strictly limiting this cohort to 20 Partners to ensure delivery quality.
Book Your Acceptance Call
Speak directly with Fiona to explore:
  • Step 1: The Audit: We review your current MSP maturity and AI readiness.
  • Step 2: The Territory Check: We confirm your vertical/region isn't already locked by another partner.
  • Step 3: The Offer: If you are a fit, we extend an invitation to join the upcoming cohort.
This isn’t a mass-market programme.
It’s for the partners who will define the new Agentic AI Channel™.
"In 12 months, every MSP will try to sell what we teach in this business transformation program. By then, our partners will have the case studies, the IP, the contracts signed. and the agents and agentic workflows ready to resell" - Fiona