The Managed AI Provider System™
A 12-Month Business Transformation Program 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 a leading Managed AI Provider
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A 12-month execution system that turns MSP's into Managed AI Providers ...without hiring, guessing, or burning out your engineers.
1
The Gap Between Demand and Reality
Your clients are already asking:
"Can we automate this workflow?
Can AI do this for us?"
You know that with Automated Workflows & Agentic AI, the answer is "Yes."
But you are stuck because:
  • The Talent Gap: Hiring an AI Solutions Architect is rare, expensive, and high-risk.
  • The Capacity Trap: You lack the spare engineering hours to experiment safely.
  • The DIY Failure: Internal "Proofs of Concept" burn hours but rarely become sellable services.
2
The Insight Most MSPs Miss
Becoming a Managed AI Provider isn't just about building agents—it's about building an AI defense moat around your MSP.
You need to build a revenue line where you own the IP and drive high LTV, not just resell licenses. That requires a team that can execute on four pillars simultaneously:
  1. Technical Execution: (Building it right)
  1. Commercialisation: (Pricing and selling it)
  1. Legal Protection: (Safeguarding the data and liability)
  1. Scale & Valuation: (Increasing the asset value of your firm)
This programme provides all four in one system..
The MSP AI Operating System We Have Built
1. The Fractional Expert Engine
(No Hiring Required)
Stop guessing. We inject a complete C-Suite of AI expertise directly into your MSP:
  • AI Technical Lead: Safe, agentic architectures & governance.
  • Commercial Lead: Strategy, pricing, packaging, and MRR models.
  • Legal Counsel: Frameworks for IP ownership, liability, and data protection.
  • Growth Advisor: M&A guidance focused on valuation and EBITDA expansion.
2. Golden Samples & IP Blueprints
(No Blank Pages)
We don't teach you theory; we give you the Golden Samples and IP Blueprints so all you have to do is configure and deploy.
Our AI Solutions Architect builds the roadmap for you: AI App - Agent - Agentic Workflow - Multi-Agent System - Digital Workforce.
You simply configure and deploy the assets alongside our team in the AI Labs.
  • Microsoft-First: Built on standard, Azure-secured infrastructure.
  • Accelerated Speed: Slash build time by ~80% using pre-built architectures and SOPs.
  • Zero Risk: Verified templates mean zero experimentation risk.
3. Two Parallel Execution Tracks
(Build and Sell Simultaneously)
Most MSPs fail because they build in isolation. We run two tracks at once:
  • Track A: Your Technical Lead builds real, deployable systems.
  • Track B: Your Commercial Lead prepares the market and monetises the outcome.
  • Result: You have a sellable product the moment the code is ready.
4. The Peer MSP Community
(Collective Intelligence)
Join a cohort of MSPs building and selling in parallel.
  • Real Data: Share real use cases, real pricing models, and real objection handling.
  • Network Effects: A true Managed AI Provider community, moving faster together.
Fast Forward 12 Months -
The result of following the system:
The Financial Shift
  • Revenue: New Managed AI project fees + compounding MRR.
  • Asset Value: You possess MSP-owned IP, not just rented vendor tools.
  • Valuation: Higher EBITDA and stronger valuation multiples driven by proprietary tech.
The Strategic Shift
  • Stickiness: Customers are embedded into AI workflows that you own and operate.
  • Positioning: You have Board-level relevance, finally escaping the "price comparison" trap.
  • Churn: Drastically reduced churn due to deep operational integration.
The Evolution:
IT Support \rightarrow Outcome Provider \rightarrow Unfireable Partner
Engineered for MSP · Secured by Microsoft & Azure · Owned by You
Fast to deploy · Safe to scale · Impossible to replace
The AI Landscape is Rapidly Evolving
You’ve seen it already.
Clients have moved past the “What is AI and Copilot?” conversation.
What Clients Are Asking Now
  • "Can we automate this whole approvals process?"
  • "Can AI do the work for us?"
  • "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 Truly Want
  • Automated workflows
  • AI agents
  • Custom apps
  • Deep integrations
  • Intelligent automation
  • Agentic workflows
  • Digital workforces
  • Ongoing AI operations they never want to manage themselves
The Era of Managed AI is Here
Clients no longer want mere "AI literacy." They demand tangible AI capability, seamlessly delivered and expertly managed by trusted providers. This pivotal shift is reshaping the IT landscape.
Phase 1: Copilot Mastery
If you've already excelled in Copilot adoption and governance for your clients, you've laid the groundwork for your next significant revenue jump.
Phase 2: Agentic Outcomes
The new frontier involves productising AI agents and intelligent workflows into bespoke digital workforces, ushering in an era of selling comprehensive outcomes.
The Risk of Stagnation
If you remain in "Managed IT Support" or "AI tool reseller" mode, you risk being left behind. Failing to develop capabilities for building and managing agentic systems means someone else will step in to claim that crucial role with your clients.
Empowering Managed AI Providers
This isn't a future five years away; it's already unfolding in your inbox. The next era of the channel unequivocally belongs to Managed AI Providers.
The partners poised to win are those who can confidently build, integrate, and scale AI agents, intelligent workflows, and digital workforces — securely and effectively — delivering unparalleled client value.
Why MSPs Are Perfectly Positioned
The shift to Managed AI isn’t a threat to MSPs; it's your biggest opportunity. While many AI "experts" focus on models and prompts, they often overlook the critical operational aspects of deploying AI safely and effectively in the real world.
This is precisely where MSPs excel, bringing indispensable capabilities that generic AI solutions lack.
1
Identity & Access
You control who and what can access systems, ensuring secure and compliant AI integration.
2
Security & Compliance
Your expertise in governance, risk, and regulation is vital for responsible AI deployment.
3
Infrastructure & Workflows
You understand how real businesses operate, integrating AI seamlessly into existing processes.
4
Trusted Advisor Status
You already manage client risk, data, and accountability, making you the natural partner for AI outcomes.
70% of AI agents fail in production not due to weak AI, but due to a lack of governance, clean data, access control, secure workflows, and auditability. These aren't AI problems; they're operational problems—and MSPs are uniquely equipped to solve them.
Agentic AI demands disciplined operators who can govern it end-to-end, integrate it, secure it, and stand behind it commercially. This isn't a new skill set for MSPs; it's your core competence. You're already the unicorn.
The Managed AI Provider:
Your Business Model Transformed
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 AI MATURITY MODEL YOU'LL GROW THROUGH
We follow the same journey your clients and the broader market are taking:
1
Copilot (Foundation)
Assistive AI, productivity, and trust.
2
Automated Workflows & AI App
(Productised Utility)
One-purpose, high-value tools that solve specific problems.
3
Agent
(Autonomy & Action)
AI that takes actions via APIs, not just answers questions.
4
Agentic Workflow (Process)
End-to-end workflows wired with AI — from trigger to outcome.
5
Multi-Agent System (Team)
Manager + specialist agents working together like a digital team.
6
Digital Workforce (Org Chart)
AI "employees" with roles, KPIs, responsibilities, and reporting.
7
AI-Driven Business (Strategy)
AI embedded as an operating model, not a bolt-on tool.
THE COMMERCIAL MODEL
Agentic AI isn’t about simple prompts or productivity hacks. It’s about delivering tangible business outcomes that clients will eagerly pay premium fees for, directly impacting their bottom line.
“Clients don’t pay for tasks — they pay for automated outcomes.”
The Land → Expand → Workforce Model
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, building out comprehensive solutions.
WORKFORCE
Deploy 10–50 digital workers per client, creating a fully integrated and autonomous AI workforce.
This proven model significantly increases client stickiness, multiplies your recurring revenue, and positions your MSP as an indispensable, "unfireable" strategic partner.
The 12-Month Journey:
What You Build, What You Sell, What SMBs Pay
This is a build-first, sell-as-you-go transformation.
Every quarter delivers real assets, real offers, and real revenue — not theory.
The Build Journey (What You Create)
1
Q1 –Automated Workflows & AI App
Copilot → Productised AI Apps
You move from assistive AI to sellable AI applications that solve one clear business problem.
2
Q2 – Agent & Agentic Workflow
AI Apps → Action Agents → End-to-End Workflows
You evolve apps into autonomous agents and wire them into real business processes.
3
Q3 – Multi-Agent Systems
Agents → Coordinated AI Teams
You build department-level AI teams working together with orchestration and oversight.
4
Q4 – Digital Workforce
Multi-Agent Systems → Digital Workforce
You deploy AI employees with roles, KPIs, and reporting, embedding AI as an operating model.
End State:
AI App → Agent → Agentic Workflow → Multi-Agent System → Digital Workforce → AI-Driven Business
The Monetisation Path
This programme is designed for monthly execution and quarterly monetisation.
1
Q1 – Automated Worksflows & AI Apps
  • Sellable automated workflows
  • First sellable AI Apps
  • Early project revenue + initial Managed AI support
Typical SMB Spend:
£5k–£10k build + £300–£750/month
2
Q2 – Agentic Workflows
  • Action Agents + full process automation
  • Managed AI Ops retainers
Typical SMB Spend:
£25k–£45k build + £1.5k–£3k/month

This is where most MSPs hit their first serious AI revenue.
3
Q3 – Multi-Agent Systems
  • Department-level AI teams
  • Ongoing optimisation and ops
Typical SMB Spend:
£50k–£80k build + £3k–£5k/month

Often justified as replacing 1–2 hires.
4
Q4 – Digital Workforce
  • 2–3 defined AI roles
  • Board-level, strategic retainers
Typical SMB Spend:
£80k–£120k build + £4k–£8k/month

SMBs don’t fear £100k projects.
They fear hiring the wrong people.
Reality Check: Are SMBs Paying for This Now?
Yes — when it’s positioned as removing operational pain, not merely "doing AI."
SMBs are eager to invest in clear solutions that directly address their critical challenges and deliver tangible improvements.
What SMBs are actually saying:
“We can’t hire fast enough.”
“This process is killing us.”
“We’re drowning in admin.”
“We’re paying people to move data between systems.”
When an MSP presents a solution that says, “We can remove that pain,” an investment of £30k–£60k becomes a non-controversial, justifiable expense for businesses looking for
The Compounding Effect
Discover how each stage of your Managed AI Provider journey builds upon the last, creating exponentially increasing value and predictable revenue streams.
1
2
3
1
Project Revenue
Each successful project builds a foundation for more opportunities and increased earnings, providing initial capital and client trust.
2
Managed AI Ops
Consistent, recurring revenue from ongoing management and optimisation of AI systems, ensuring long-term client engagement.
3
Digital Workforce MRR
Generate significant monthly recurring revenue from deploying and managing client-specific AI workforces, ensuring deep integration and client lock-in.
Each quarter, these revenue streams stack: Project revenue, Managed AI Ops, and Digital Workforce MRR. This strategic progression moves you from AI services to a full Managed AI Provider, with predictable revenue, owned IP, and long-term client loyalty.
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.
Built for the Channel
Designed specifically for Managed Service Providers (MSPs), ensuring seamless integration with existing service models and unlocking new revenue streams.
Governance & Security First
Grounded in robust governance and identity-first security, guaranteeing compliance and protecting client data from the outset.
Outcome Architecture™
Leverages a unique Outcome Architecture™ to deliver tangible business results, moving beyond abstract "ideas" to concrete value.
Tech & Commercial Execution
Combines cutting-edge technical AI builds with clear commercial strategies, ensuring that innovation translates into profitability.
Creates Your IP
Empowers you to develop proprietary intellectual property, reducing vendor dependence and strengthening your market position.
Real Deployments
Focuses on building functional, real-world AI deployments, not just theoretical concepts or proofs of concept.
Drives Retention
Engineered to foster deep client stickiness and recurring revenue, transforming one-off projects into long-term partnerships.
Upskills Engineers
Future-proofs your team by upskilling existing engineers into AI specialists, eliminating the need for costly data science hires.
Frictionless Ecosystem
Our ecosystem, including labs, intensives, and expert panels, removes implementation barriers and accelerates adoption.
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
Meet Your AI Power Team
Becoming a Managed AI Provider is a business transformation, not just a tools upgrade. Most MSPs attempt this with no spare time, excess capacity, or margin for error, often leading to costly mistakes.
Agentic AI is unforgiving:
  • Get the build wrong you waste expensive engineer time on POC's
  • Get the architecture wrong, you create risk.
  • Get the contracts wrong, you create liability.
  • Get the pricing wrong, you kill momentum.
  • Get the strategy wrong, it never converts to revenue.
The real MSP problem?
Your best engineers are already stretched, burning expensive hours building AI Proof-of-Concepts from scratch that rarely become sellable solutions.
This isn’t a talent issue; it's a guidance and leverage issue.
This programme is deliberately built around an expert power team so you don’t have to figure this out alone.
We remove 80% of build time with:
1
Proven Golden Sample Architectures
Leverage pre-validated designs and blueprints to accelerate your AI builds and reduce development overhead.
2
Microsoft-First Templates & SOPs
Utilise governed, ready-to-use templates and Standard Operating Procedures specifically for the Microsoft ecosystem.
3
AI-Ready Commercial & Legal Frameworks
Benefit from established frameworks that ensure your contracts and commercial agreements are robust and compliant.
4
Clear Pricing & Packaging Paths
Access defined pricing structures and packaging strategies to maximise monetisation and streamline your sales process.
You build with people who have already:
Deployed Agentic AI Safely at Scale
Sold it Commercially
Protected it Contractually
Increased MSP Valuation With it
That’s why this isn't theory, tools, or vendor training. It’s guided execution — designed to overcome time, capacity, and skills constraints, and get MSPs to revenue faster.
This is what your AI Power Team is here to do.
Meet Your AI Power Team
Six experts. One execution system. Built to remove time, skill, and delivery risk for MSPs.
Fiona Challis
Founder · Commercial & Strategy
Turns builds into project revenue + Managed AI MRR.
John Guilfoyle
Fractional AI Technical Lead · Lead Architect
Golden Samples, Azure templates, SOPs. Build safely without starting from scratch.
Kim Simmonds
Legal · Contracts & Risk
AI-ready contracts. Clear liability + IP. Protect margin as you scale.
Ken Roulston
M&A · Valuation
Converts Managed AI into EBITDA uplift, defensible moat, and higher valuation multiples.
Stuart Warwick
Growth Strategy · Leadership
Strategy, structure, and clarity so growth doesn’t create chaos or burnout.
Ian Luckett
Leadership · Sales & Team Performance
Builds confident leaders and high-performing teams to execute the growth plan.
One team. One system. No blank pages.
Now lets looks at the power pair in your MSP
Two valid paths, one destination: becoming a Managed AI Provider.
Select the approach that best suits your MSP's structure and goals for accelerated growth.
1
The Power Pair
Who it’s for: MSPs with a dedicated technical lead or architect.
The Advantage: Parallel Velocity. Your Strategic Lead focuses on commercial aspects, while your Technical Lead builds solutions simultaneously.
Why It Wins:
  • Eliminates the Translation Gap.
  • Sales momentum and technical delivery stay perfectly synchronised, accelerating revenue and deployment.
2
The Solo Implementer
Who it’s for: Boutique MSPs & owner-operators who stay hands-on.
The Advantage: Zero Friction. No internal approvals or delays; you learn, build, and deploy fast.
Why It Wins:
  • Leverage our “Cheat Code” templates and IP.
  • No blank pages or guesswork – just assembling proven components with expert guidance.
What Your Year Looks Like in Practice
A 12-month execution system designed for real MSP constraints: time, capacity, and ROI.
1
Technical Lead Track
Everything required to build, deploy, govern, and support agentic AI.
Build real AI systems. No POCs. No blank pages.
How you work
  • Monthly LIVE AI Build Labs
  • Office Hours / Unblock Labs
  • Always-on Technical SOS community
What you produce
  • AI Apps
  • Action Agents
  • RAG systems
  • Agentic workflows
  • Multi-agent systems
  • Digital workforce roles
  • Observability & lifecycle frameworks
Outcome / Value
  • Engineers stop tinkering and start shipping
  • 80% less build time using Golden Samples
  • Safe, Azure-first, production-ready deployments
  • MSP-owned IP you can deploy repeatedly
2
Commercial Lead Track
Everything required to price, sell, market, and scale Managed AI revenue.
Turn builds into projects, MRR, and high LTV
How you work
  • Bi-weekly Strategic Sessions
  • Marketing & Lead Gen Hub
  • Offer, pricing, and use-case labs
  • Quarterly in-person Intensives
What you create
  • Outcome-based pricing models
  • Vertical AI offers
  • Managed AI retainers
  • Digital Workforce-as-a-Service packages
  • Full AI services catalogue
Outcome / Value
  • Faster sales cycles
  • Higher deal values (£25k–£100k+)
  • Predictable Managed AI MRR
  • Stronger client lock-in and board-level relevance
One year. Two tracks.
Real assets, real revenue, and a Managed AI business you actually own.
What You Can Realistically Sell in 12 Months
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.
1
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
2
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
1
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
2
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.
1
Total Upfront Revenue
  • Q1: £7,500
  • Q2: £35,000
  • Q3: £65,000
  • Q4: £100,000
Cumulative Upfront: £207,500
2
Total MRR at Month 12
  • AI App: £500
  • Workflow Ops: £2,000
  • Multi-Agent Ops: £4,000
  • Digital Workforce: £6,000
Total Monthly Recurring Revenue: £12,500
Projected Annual Recurring Revenue (ARR) going into Year 2: £150,000
These examples assume SMB clients between 50 and 250 users. Not every client buys every stage, but the framework allows for scalable growth. Most MSPs land at AI Apps and Agentic Workflows first, expanding only where operational pain justifies further investment.
The Time Investment: Built for Busy MSPs
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 - 8-10 hours
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%.
The Hard Truth on AI Build Timing
Option A: The DIY Route
  • Hire a Python Developer (£100k/year min).
  • Spend 6 months figuring out how to sell.
  • Spend 3 months building a custom stack.
  • Total Time: 9+ Months before first revenue.
  • Total Risk: High.
Option B: Join Us
  • Utilise your existing L3 Tech.
  • Access our Blueprints and Contracts.
  • Sell your first Audit in Month 1, first App in Month 3.
  • Total Time: 8 -10 Hours/Month.
  • Total Risk: Low.
You don't need "more time."
You need a system that respects the time you have.
The Agentic AI Provider System™ —
The Tech Stack FAQ
An Azure-Native, Low-Code Architecture Built for MSP Speed & Enterprise Governance.
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
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.
Is this safe? My clients fear “Shadow AI.”
This is the opposite of Shadow AI. We call it 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.
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
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 20% of partners who will lead the next decade. Inside this 12-month transformation, you will build:
Repeatable Revenue
A real AI services business model with predictable income streams.
Proprietary IP
Unique, owned intellectual property that gives you a distinct competitive edge.
Deployable Solutions
Ready-to-implement apps, agents, workflows & multi-agent systems.
Digital Workforce Offering
A high-value service that gets you into client boardrooms for strategic discussions.
Commercial Engine
Built for high-value, high-margin AI projects that drive significant profit.
Managed AI Provider™
The capability and confidence to be a true industry leader in the AI space.
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.
Apply for the Next Cohort
This application-only programme is strictly limited to just 20 Partners. We seek fully committed MSPs ready to become the next generation of Managed AI Providers, ensuring unparalleled delivery quality and focused support.
Book Your Acceptance Call
1
The Audit
We review your current MSP maturity and AI readiness to ensure a mutual fit.
2
The Offer
If you meet our criteria, we extend a personal invitation to join the exclusive upcoming cohort.
This isn’t a mass-market programme. It’s exclusively for 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 Challis