Code review and documentation assistant
Code review and documentation assistant is a workshop-derived candidate for local government. It gives public-service staff, developers, finance teams, and community leaders a focused way to reduce friction in engineering & technical work. The original workshop focus was transparent, accessible public services.
Typical roles · public-service staff, developers, finance teams, and community leaders
Concept brief
Win statement
Enable public-service staff, developers, finance teams, and community leaders to use Code review and documentation assistant to reduce friction in the work, with a visible source, an exception path, and a human owner for the decision.
Description
Code review and documentation assistant is a workshop-derived candidate for local government. It gives public-service staff, developers, finance teams, and community leaders a focused way to reduce friction in engineering & technical work. The original workshop focus was transparent, accessible public services. In a local government setting, the concept should be designed around the moment the user gets stuck, the approved information or action that helps, and the handoff when the agent should stop.
Key benefits
- ·Brings requirements, standards, tests, and documentation closer to the technical work.
- ·Reduces avoidable context switching without allowing generated output to bypass review.
- ·Makes technical assumptions and dependencies more visible.
- ·Improves repeatability in technical delivery.
Potential impact
Qualitative
- ·Technical teams spend less time reassembling context.
- ·Reviewers receive a more complete and traceable package.
- ·Known patterns become reusable instead of living only in experienced people's heads.
Quantitative
- ·20-35% less preparation time for the scoped technical task.
- ·Higher standards-adherence rates in reviewed work.
- ·Reduced avoidable rework in a measured pilot.
These are pilot hypotheses, not promised outcomes. Validate them against a real baseline, quality sample, and user feedback.
Success metrics
Time to assemble code, documentation, tests, or release evidence.
Pilot target · Reduce by 20-35%.
Establish the current baseline before claiming improvement. Review this metric with user feedback and quality evidence.
Material issues found after handoff or release.
Pilot target · Improve against a comparable baseline.
Establish the current baseline before claiming improvement. Review this metric with user feedback and quality evidence.
Required controls, tests, and documentation present in reviewed work.
Pilot target · At least 90% in a pilot sample.
Establish the current baseline before claiming improvement. Review this metric with user feedback and quality evidence.
Qualified users who report that the output saved useful effort without adding rework.
Pilot target · At least 75%, paired with qualitative feedback.
Establish the current baseline before claiming improvement. Review this metric with user feedback and quality evidence.
Services needed
Copilot Premium
- ·Microsoft 365 Copilot (Premium) licenses for the intended users
- ·Microsoft 365 Copilot Chat and the applicable Microsoft 365 application surfaces, such as Teams, Word, Outlook, PowerPoint, Excel, OneNote, or SharePoint
- ·Microsoft 365 Copilot Agent Builder or Microsoft 365 Agents Toolkit for a declarative agent
- ·Declarative-agent instructions, scoped knowledge, and actions
- ·Microsoft Entra ID, Microsoft Purview, and Microsoft 365 admin controls
- ·Microsoft Foundry Agent Service and hosted agents when custom code or tool orchestration is required
- ·GitHub, Azure DevOps, or approved engineering-system integrations
- ·Azure AI Search, Application Insights, and evaluation tooling
A focused, employee-facing assistant that helps a licensed user find, draft, summarize, analyze, or take a contained action in the flow of work. Move to Copilot Studio when the primary need is a dedicated conversational experience, a repeatable workflow, broad channel delivery, or Power Platform automation. Move to Microsoft Foundry when custom orchestration, specialized models, vision, speech, or an application-grade runtime is the actual work.
Data sources
- ·Code repositories, architecture decisions, standards, runbooks, test results, and change records
- ·Approved APIs, schemas, and dependency documentation
- ·Representative test and release data
Implementation considerations
- ·Name one accountable business owner, one technical owner, and one content or data owner before the pilot starts.
- ·Define what the agent may advise, what it may do, and what must remain a human decision.
- ·Use representative test cases, including incomplete, conflicting, and out-of-scope inputs.
- ·Design the exception path before measuring straight-through success.
- ·Measure user effort, quality, and rework together. A high interaction count alone does not show value.
- ·Confirm the intended users have the appropriate Microsoft 365 Copilot (Premium) licensing and the needed access to underlying content.
- ·Scope declarative-agent knowledge and actions to the smallest useful boundary, then verify permission trimming and citations.
- ·Plan distribution, ownership, and lifecycle through Microsoft 365 administration rather than treating the agent as a one-time prompt.
- ·Category-specific focus: Engineering & technical.
Human review · A named qualified person reviews exceptions, low-confidence output, and any recommendation or action with material consequence.
Executive FAQ
Next actions
- 01Observe 5-10 real examples of code review and documentation assistant and map the current work, delay, handoff, and exception path.
- 02Name the accountable decision owner, source owner, technical owner, and pilot audience.
- 03Choose the smallest approved content set, data set, and action set that can prove or disprove the value hypothesis.
- 04Create a representative test pack, including success, ambiguity, bad input, and escalation cases.
- 05Run a time-boxed pilot with a measured baseline and a structured user-feedback loop.
- 06Review quality, rework, safety, adoption, and value together. Expand only when the work is demonstrably better.
Estimated timeline
6-10 weeks after discovery
- Discovery and source check1-2 weeks
Observe the real work, select approved sources, define permissions, and set a baseline.
- Configuration and test design2 weeks
Write instructions, prepare scoped knowledge and actions, and create representative test prompts.
- Pilot2-3 weeks
Pilot with a small, named cohort in their normal Microsoft 365 work.
- Measure and scale decision1-3 weeks
Review quality, rework, adoption, and user feedback before extending access.
Provenance
Workshop-derived · M365 Copilot (Premium)
- ·Anonymized workshop-derived concept
- ·Workshop focus: transparent, accessible public services
Candidate. Discovery and validation required before any build commitment.