COPILOT

Copilot - Deployed, Secured, and Provable on ROI.

M365 Copilot, GitHub Copilot, and custom Copilots that sit inside the tools your teams already use. We handle readiness, rollout, governance, and measurement.

Why Copilot Rollouts Stall

Licences get bought; users do not change behaviour. The real cost is everything around the licence – readiness, training, custom extensions, governance, and measurement – and that is the work we do.

5 - 10hr
Saved per user per week
4 week
From kickoff to first cohort
3:1
Median ROI in year one
100%
DLP + sensitivity coverage
Baselines benchmarked against incumbent vendor quotes for equivalent scope, with independent advisory validation on engagements over $5M. Total programme TCO includes build, dual-running, training, change management, and 24 month run rate operations full methodology available on request.

Where We Help

Microsoft 365 Copilot

1. Readiness assessment. Data, identity, sensitivity labels, DLP, licence economics.
2. Tenant configuration. Sensitivity labels, retention, conditional access, and DLP integration.
3. Adoption programme. Persona-led, scenario-led training - not feature tours.
4. Measurement framework. Time-saved, quality-of-output, and risk telemetry.

GitHub Copilot for Engineering Teams

1. Rollout playbook. Tenant configuration, IDE setup, prompt patterns, secret-scan policies.
2. Productivity baseline. Throughput and quality metrics before and after.
3. Code-base guardrails. IP filters, suggestion exclusions, audit hooks.

Custom Copilots

1. Copilot Studio. Build domain-specific Copilots over your data and APIs.
2. Power Platform extensions. Plugins, connectors, and agents in the Microsoft stack.
3. Beyond Microsoft. Custom Copilots on Anthropic, OpenAI, or open-source - your choice.

How Claude Accelerates Every Stage

  • Reads 100K+ lines of legacy code and produces an architecture grade summary in hours.
  • Generates unit and integration tests against legacy behavior before refactor begins test first, not test after.
  • Performs multi-file refactors with deterministic verification gates against the test suite and eval set.
  • Drafts documentation, ADRs, and ops run-books alongside the code change.
  • Integrates with your systems via MCP (Model Context Protocol) for standardized, audited tool access during refactor and validation.
Why You Can Trust the AI-Generated Code

Will Claude write broken code at scale?” is the right question. Our answer is a four-layer correctness model not human review alone.

  • Spec-driven inputs. Refactor prompts are built from your architecture docs, ADRs, and style guide not from open ended language.
  • Test-first generation. Behavioral tests are generated against the legacy system first, run green, then become the contract the new code must satisfy.
  • Deterministic verification gates. Static analysis, type-checks, dependency scans, and the regression suite gate every merge same gate as human-written code.
  • Eval-driven CI. A code quality eval suite runs in CI; regressions in correctness, security, or hallucination rate block merge.

Human review is the final layer not the only one. The result: AI-suggested code carries the same provenance, attestation, and quality bar as code written by hand.

Proving ROI to Finance

Every modernization project lives or dies at the cutover. We engineer for safety from day one.

Time-saved

Per-user, per-scenario - measured via in-product telemetry plus self-report.

Quality lift

Editor reviews, error rates, customer feedback - measured before and after.

Cycle-time compression

Email turnaround, document draft time, code-PR time.

Risk telemetry

Sensitive data exposure attempts, prompt-injection blocks, DLP triggers.

Industries We Serve

Manufacturing

Engineering-doc Copilots, technician copilots, ops-meeting Copilots.

BFSI

Relationship-manager Copilots, underwriting Copilots, KYC summarisation.

Healthcare

Physician documentation Copilots, claims Copilots.

Retail

Merchandiser Copilots, store-associate Copilots.

Supply Chain

Planner Copilots, supplier-comms Copilots.

FAQ

Frequently Asked Questions

What about data leakage and sensitive content?

We do not start rollout until sensitivity labels, DLP, and conditional access are in place. Every pilot tenant is sandboxed. Risk telemetry is part of the standard deployment.

Only if behaviour changes. We have decommissioned Copilot rollouts where the adoption programme could not be funded – buying licences without the change layer is the most common waste pattern in this space.

Yes. We are platform-agnostic and frequently build Copilots on Anthropic, OpenAI, or open-source – depending on data residency, cost, and latency constraints.

Ready to Roll Out Copilot the Right Way?

Book a 60-minute Copilot readiness assessment. We will identify the three highest-ROI scenarios for your org and put a 6-week pilot plan on the table.