Copilot Deployment & Engineering
Chaotic rollouts create adoption gaps and user confusion. We engineer your Copilot deployment with phased planning, clear metrics, and rollback procedures.
The Rollout Chaos
Assigning licenses is not deployment. Organizations that enable Copilot for all users on day one see 60% of licenses go unused within 90 days. Users don't know how to use AI effectively, don't understand what it can do, and eventually stop trying.
Without a deployment strategy, you're paying $30/user/month for a feature nobody uses. Worse, early negative experiences create organizational resistance to AI adoption that persists for years.
Our Approach
Deployment Methodology
Planning
Deployment Planning
Define scope, user segments, success criteria, and rollback procedures before touching licenses
Pilot
Controlled Pilot
50-100 users across diverse departments. Measure adoption, collect feedback, identify issues
Optimize
Pilot Optimization
Address feedback, refine prompts, improve governance. Do not scale until pilot succeeds
Scale
Enterprise Rollout
Phased expansion by department or function. Continuous monitoring and support
Sustain
Ongoing Governance
Monthly reviews, usage analytics, license optimization, feature updates
What Breaks If You Skip This
- Wasted Licenses: 60%+ of Copilot licenses go unused without proper deployment planning
- User Frustration: Poor first experiences create lasting resistance to AI tools
- No Rollback: Problems discovered after enterprise-wide deployment are costly to fix
- Unmeasured ROI: Without baseline metrics, you cannot prove AI value to leadership
Frequently Asked Questions
Deploy With Confidence
Let's build a deployment plan that drives adoption and measurable ROI.
Plan Your Deployment