GitHub Copilot Enablement for Development Teams rolls out GitHub Copilot Business or Enterprise to your engineering organization with governance in place before the first suggestion is accepted: plan selection and license configuration, organization policies for IP protection and model access, content exclusions for sensitive repositories, security guardrails aligned to your development workflow, hands-on developer workshops, and a usage-measurement baseline so you can see whether the investment is working. Fixed price of $2,950 per project, delivered in about 1 week. This service covers GitHub Copilot — the AI pair programmer in your IDE and repositories. For Microsoft 365 Copilot in Word, Excel, Outlook, and Teams, see our Microsoft 365 Copilot services instead.
Most GitHub Copilot rollouts fail in one of two ways: seats are bought and left ungoverned, so usage plateaus at autocomplete while the policy questions (Will our code train someone's model? What about copyright? What about our crown-jewel repositories?) stay unanswered — or the rollout is blocked indefinitely because nobody can answer those questions. This service is run for engineering leads and CTOs at SMB software shops by consultants who use these tools daily. We select and configure the right plan (Business or Enterprise), set the organization policies that matter — the suggestions-matching-public-code setting that GitHub's IP indemnification depends on, model access governance, editor preview features, and audit logging — configure content exclusions for repositories and paths that should stay out of Copilot's context, and put an acceptable-use standard in writing that fits your code-review and testing discipline. Then we make the seats earn their keep: hands-on workshops covering completions, chat, and agent-based workflows in your actual codebase, plus a metrics dashboard built on GitHub's Copilot usage data so adoption is measured rather than assumed. Microsoft 365 Copilot deployment, custom model training, and GitHub platform migration are out of scope — each is a separate service.
Confirm teams in scope, choose Business vs Enterprise, and gather the security and IP questions that must be answered before enablement.
Configure organization policies — public-code matching, model access, preview features, audit logging — and document each decision.
Identify sensitive repositories and paths with your team, configure exclusions, and align guardrails with your review and testing workflow.
Enable seats for the agreed teams, verify IDE and network readiness, and publish the acceptable-use standard.
Deliver two live hands-on sessions in your codebase, covering completions, chat, agent-based workflows, code review, and test generation.
Stand up the adoption dashboard, capture the baseline, enable champions, and hand over the 30/60-day adoption checklist.
It includes the plan and licensing decision (Business vs Enterprise), organization policy configuration — public-code matching, model access, preview features, audit logging — content exclusions for sensitive repositories, a written acceptable-use standard, two live hands-on developer workshops for up to 25 developers each, and a usage-measurement dashboard with an adoption baseline. The outcome is a governed rollout where developers actually use the tool and leadership can see whether it is paying off.
No — and confusing the two is common. GitHub Copilot is the AI assistant for software development: it works in your IDE and repositories, suggesting and explaining code. Microsoft 365 Copilot works in Word, Excel, Outlook, and Teams for general knowledge work. This service covers GitHub Copilot for your engineering team; for Microsoft 365 Copilot we offer a separate readiness, deployment, and adoption family, and the two rollouts are governed by entirely different controls.
Copilot Business fits most SMB engineering teams: centralized license and policy management, IP indemnification, exclusion controls, and audit logs, available without GitHub Enterprise Cloud. Copilot Enterprise adds organization-codebase-aware capabilities and deeper GitHub.com integration, but requires GitHub Enterprise Cloud, so the platform cost enters the equation. We map both against your team size, repository setup, and roadmap, and put the recommendation in writing during kickoff.
Per GitHub's documentation, prompts and suggestions from Copilot Business and Copilot Enterprise are not used to train GitHub's models. We record this in the decision brief with references to GitHub's current documentation, and configure telemetry-related settings to your policy. If the assurance is contractually material, your counsel should verify it against GitHub's current terms — we configure platforms; we do not give legal opinions.
GitHub provides IP indemnification for Copilot Business and Enterprise customers, conditioned on its documented settings — notably keeping the duplication-detection filter set to block suggestions that match public code. Part of this engagement is configuring your organization to those conditions and documenting it, so that if the question ever reaches your board or your counsel, the answer is a configuration record rather than a shrug.
Yes — content exclusions let you block specified repositories and paths from being used as context. We configure exclusions for the repositories you nominate and document the register. We are also honest about the limits: GitHub's documentation notes that exclusions may not apply in every client and feature in all cases, so material that must never leave your control belongs behind access controls, with exclusions as one governance layer among several.
Two live, hands-on sessions of up to 25 developers each, run in your own codebase rather than toy examples: effective prompting for completions and chat, using agent-based workflows where your plan includes them, Copilot in code review, generating and improving tests, and knowing when not to trust a suggestion. The goal is developers who use Copilot well by default — not a slide deck about AI.
We stand up a dashboard built on GitHub's Copilot metrics and user-management data — seat activity, feature usage, acceptance trends — and capture a baseline during the engagement. You then run the 30/60-day cadence from the handover checklist. We deliberately do not promise a productivity percentage: published gains vary by team and codebase, and installing honest measurement beats quoting someone else's benchmark.
Only for Copilot Enterprise. Copilot Business is available for organizations without GitHub Enterprise Cloud, which is why it is the usual starting point for SMB teams. If the plan decision lands on Enterprise, the GitHub Enterprise Cloud prerequisite and its cost implications go into the decision brief before you commit.
The fixed price covers everything listed in the deliverables: plan decision, policy and exclusion configuration, the acceptable-use standard, two workshops for up to 25 developers each, and the measurement setup with baseline. GitHub and Copilot licensing, metered premium-model usage, additional workshop cohorts for larger teams, Microsoft 365 Copilot services, and ongoing adoption management are separate costs.
About 1 week: policy and exclusion configuration early in the week, seat rollout and the acceptable-use standard mid-week, workshops and measurement setup by the end. The schedule assumes licenses are in place at kickoff and developers can attend both sessions; if procurement or legal review is still running, we start with the decision brief and governance design so no time is wasted.
Yes, as a separate engagement — our Azure DevOps and GitHub CI/CD Pipeline Implementation service covers organization setup, repository migration, branch policies, and build and deployment pipelines. The two services pair naturally: a governed platform first, then a governed AI rollout on top of it.