APPLIED AI / AI-ASSISTED ENGINEERING
Faster engineering, same standards
We help engineering teams adopt coding assistants such as Claude Code with guardrails, review practices and honest measurement.
Coding assistants can speed up engineering work, but without policies, review practices and measurement they also add risk and noise. We roll them out so your teams get the benefit while your standards for security, quality and ownership stay in place.
What we do
Rollout
Phased adoption of coding assistants such as Claude Code, starting with teams and repositories where the fit is clearest.
Guardrails and policies
Permissions, approved tools, data rules and repository settings agreed with security before broad use.
Review practices
Code review and testing practices adapted for AI-written code, so ownership stays with engineers.
Measurement
Measures agreed before rollout, a baseline taken first, and reporting on what changes — including where it does not help.
Our solutions
Getting coding assistants into daily use across teams.
- Pilot team selection
- Setup and configuration
- Enablement sessions and playbooks
Controls that match your security and data policies.
- Permission and tool policies
- Tool connections over MCP with scoped access
- Usage logging
Evidence on whether the assistants are helping.
- Baseline before rollout
- Delivery and quality measures
- Developer feedback
How it runs
Readiness
We review your repositories, security rules and delivery practices, and agree the measures.
Pilot
A pilot with selected teams, with guardrails in place and a baseline taken first.
Rollout
Wider adoption with playbooks, review practices and enablement.
Measure and improve
Regular reporting against the agreed measures, and adjustments where needed.
What you get
- A rollout plan and usage policies agreed with security.
- Configured coding assistants with guardrails in place.
- Review and testing practices for AI-written code.
- A measurement baseline and regular impact reports.
- Playbooks your teams can keep using.
Questions
Do you only work with Claude Code?
No. We have a dedicated Claude practice, and we also work with other coding assistants your teams already use.
How do you measure impact?
We agree measures such as cycle time, review load, defect trends and developer feedback before rollout, take a baseline, and report what changes.
Will AI-written code reach production without review?
No. Engineers remain responsible for the code they merge, and we adapt review and testing practices accordingly.