Copilot Adoption & DevAI · Featured pillar

AI productivity, for your org and your engineers.

Two transformations under one roof: M365 Copilot for the business, and an AI-augmented SDLC for engineering. Same firm, same governance, same accountability.

Tell us your pain — proposal in 5 days See DevAI Enablement Sprint

StackM365 CopilotGitHub CopilotCopilot WorkspaceCoding AgentVisual Studio + AI

What we deliver

Copilot & DevAI services.

From licensing strategy to engineering team transformation — eight services covering both sides of the productivity stack.

M365 Copilot rollout

Readiness assessment, governance, change management, and adoption metrics. We turn licenses into measurable productivity gains.

GitHub Copilot enablement

Chat, Workspace, and Coding Agent rolled out for engineering teams — with baselines, metrics (acceptance rate, time-to-PR), and best practices.

AI-augmented SDLC

AI integrated end-to-end — requirements, code, tests, review, security, docs. The full developer pipeline rethought around agentic tooling.

AI code review & test gen

Automated PR review, security scanning, and test generation pipelines that catch issues before humans do.

Migration copilots

AI-assisted migrations: legacy → modern frameworks, framework upgrades (.NET, Angular, React), and language transitions.

Custom developer agents

Codebase-aware agents that know your conventions — tuned to onboard juniors, enforce architecture, and accelerate refactors.

Workshops & enablement

Hands-on training for engineering teams on Copilot, agent-driven development, and prompt engineering for code.

Productivity audits

Measure real impact: acceptance rates, time saved, defect rates, and ROI. We help you defend the budget.

Outcomes

What you walk away with.

Documented Copilot adoption baseline and 90-day targets
Governance and licensing model aligned to your IT policies
GitHub Copilot best-practices playbook for your stack
AI-augmented SDLC reference architecture
Engineering productivity metrics dashboard
Trained champions across business and engineering teams

Process

Adoption that sticks.

Most Copilot rollouts stall at week 6. Ours don't — because we engineer for adoption from day one.

01Week 1
Baseline
Where are you today? Licensing audit, current usage telemetry, governance gaps, and engineering productivity baseline.
Output
Baseline report
02Week 2
Plan
Adoption strategy, governance model, training plan, and metrics that matter to your business and engineering leaders.
Output
90-day adoption plan
03Weeks 3–4
Pilot
Run a pilot with a champion team. Workshops, hands-on coaching, daily standups for the first two weeks.
Output
Pilot report + success metrics
04ongoing
Scale
Roll out across the org. Champion network, runbook, and quarterly health checks to keep adoption sticky.
Output
Org-wide rollout

FAQ

Common questions.

What's different about GitHub Copilot in 2026?: Copilot is no longer just inline completion. Coding Agent works asynchronously on issues, Workspace plans full features, and Chat handles conversational refactors. Each needs different governance and adoption tactics — we cover all of them.
Do you only do Microsoft Copilots?: Our deep specialization is Microsoft, yes — M365 Copilot, GitHub Copilot, and the broader Copilot ecosystem. For agentic dev tooling we also work with Claude Code and other complementary tools where they make sense.
How do you measure productivity gains?: PR cycle time, review effort, test coverage delta, defect escape rate, time-to-onboard, and developer self-reported satisfaction. We baseline before, then re-measure at 30/60/90 days.
What about security and IP concerns?: We help you configure GitHub Copilot Business/Enterprise correctly — content filtering, exclusion rules, audit logging, and IP indemnification. Security is a primary workstream, not an afterthought.

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