AI readiness assessment
We look at how your team works today, where AI would save the most time and what needs protecting.
A clear, practical starting point.
Make AI part of how your team works
We move teams from asking AI the odd question to having it plan, write and review their work, with people still making the decisions.
Where teams get stuck
- AI is used occasionally, by a few people, and answers are pasted in from a chat window rather than built into the work.
- No one is sure what's safe: secrets, production systems and generated code all feel like risks.
- Each person sets up their own tools, so good practice never spreads across the team.
How we help
Pilot workflows and agents
We build shared commands, skills, review agents and project conventions around your real workflow, kept in your repository.
Your team's way of working, written down and repeatable.
Team training and enablement
We pair with your engineers on your real backlog, not slide decks, until using AI is everyday practice.
People who are confident using AI in their own work.
Governance and safe use
Guard hooks for secrets and sensitive files, least-privilege and read-only tool access, and risky actions only a person can start.
Faster work, with the risks kept under control.
What changes for you
- AI becomes the everyday way of working, not an occasional experiment.
- Less manual work: AI drafts plans, writes code and tests, and helps track down long-standing faults.
- People stay in the review loop, and changes go through your normal pull-request review.
- Engineers can investigate production issues through read-only tools that have no write access.
- The setup lives in your repository, so everyone, including new joiners, works the same way.
We've done this for an engineering team at a connected-TV analytics company: we introduced Claude Code, built a shared setup for their TypeScript and Python monorepo, and paired with engineers until it was how they worked every day.
Built on solid foundations
AI works best on platforms that are easy to change and safe to automate. If yours aren't there yet, we can help with platform modernisation and cloud migration first.
Related work
Making AI the everyday way of working for an engineering team
Connected-TV analytics
Claude Code became the team's everyday way of working, with changes still going through normal pull-request review.
Let's talk about what AI can do for your team
Tell us where you are today. We'll come back within one working day with practical next steps.
Start a conversation or email info@fife-v.com