Microsoft Partner Enablement · EMEA
Frontier Consultancy
AI-First Delivery for Partner Consulting Teams
A partner enablement programme that teaches AI-first delivery by running it on a real internal project of yours, before any customer is on the hook. Three tracks. One motion. Same agents, same toolstack, same playbook your team takes to paying engagements the week after.
55%
faster task completion with GitHub Copilot
20–30%
faster delivery on cloud + AI-assisted modernization
30–40%
lower delivery cost vs. traditional motion
SourcesPeng et al., The Impact of AI on Developer Productivity: Evidence from GitHub Copilot, 2023 · McKinsey, In search of cloud value: Can generative AI transform cloud ROI?, 2023.
Three tracks · pilot phase
CAIP · Azure
AIBS · D365 & Power Platform
Security · in scoping
The Partner Challenge
Delivery is changing faster than practices.
- Expert consultant time consumed by low-value tasks AI can handle today.
- Skill shortage across Azure, D365, and Security delivery practices.
- Customer expectations on cost, speed, and AI-readiness rising quarter on quarter.
- AI-first delivery is becoming the new baseline. Partners who build the muscle now keep margin when it does.
- Training alone does not change practice. Doing the work does.
The Engagement
An AI-first motion you learn by doing.
Frontier Consultancy equips a partner team to deliver AI-first work end to end. The mechanism is customer-zero: your team builds the playbook and the toolstack by running a real internal project before any paying customer is on the hook.
Build AND operate. The same agent fleet that builds the platform stays attached to run it. Project revenue on the build, recurring revenue on the operating layer. One toolstack does both.
- Hands-on workshop using your own laptops, tools, and repos.
- Real agents, MCP servers, and Copilot patterns built during the engagement.
- Customer-zero project run by your team, coached by Microsoft.
- Reusable artifacts you keep and redeploy on the next paying engagement.
The Frontier motion · from workshop to AI-first practice
Phase 1
Workshop
Hands-on day with the deck, exercises, and live agents.
Phase 2
Customer-zero
Your team runs a real internal project with our coaching.
Phase 3
Co-delivery
First customer engagement with Microsoft alongside.
Phase 4
GTM & reuse
Joint case study, demo asset, marketplace listing if it fits.
Phase 5
Scale
Partner trains own consultants. Showcase day. Community.
What you walk away with
Artifacts, not slides.
- A working customer-zero project. Real internal use case shipped before the programme ends.
- A reusable agent or asset. Built during customer-zero, deployed to the next engagement.
- A curated toolstack. Skills, agents, and MCP servers for Copilot CLI and VS Code.
- An AI-first delivery playbook. The framework the workshop teaches, in writing.
- Hands-on exercise material. Clones to your machine. Yours to keep and rerun.
- A team that has done it once. The hardest part to fake.
AI tools & technologies
Hands-on across the Microsoft AI stack.
Participants work with the tools they will use on customer engagements. Per-track focus, common foundations.
Copilot CLI
VS Code Agent Mode
GitHub Copilot
Copilot Studio
M365 Copilot
Azure AI Foundry
Dataverse MCP
ADO MCP
Custom MCP servers
Power Platform
Dynamics 365
Sentinel & Defender
Who should attend
The team that ships, not just the team that plans.
- Delivery managers and practice leads building an AI-first capability.
- Senior consultants and architects who will adopt the motion on customer engagements.
- Pre-sales engineers preparing demos and proposals.
- Technical leads across Azure, D365 & Power Platform, or Security practices.
Business outcomes for your practice
Margin, IP, and a stronger Microsoft motion.
- Increase pre-sales and delivery capacity without adding headcount.
- Decrease implementation lead-time and cost for customers.
- Productize assets from customer-zero and resell across engagements.
- Layer a build-and-operate revenue stream on top of project work. Agents that built the platform stay on to run it.
- Drive consumption of Copilot, Azure AI, and the Microsoft AI stack.
- Open AI-first revenue streams beyond traditional services hours.