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Internal AI agents for engineering and operations teams
Engineering leader helping teams build internal AI agents and automation, and scale the teams and systems behind them.
Outcomes
What an internal agent does for your team
Repetitive work, handled
Triage, routing and first-draft responses for support and operations queues, with a person approving what matters.
Connected, with limits
Access to your internal tools through scoped, auditable permissions, so the agent only does what it is allowed to do.
Time saved, measured
Baselines and evaluations agreed up front, so you know what the agent saves and where it does not.
How it works
How an engagement works
Assess
1 to 2 weeks
Find the use case with the highest value, review your data and access, and agree a plan.
Build
A few weeks, scoped together
A working agent in your environment, built on a real workflow and tested against it.
Hand over
Optional ongoing support
Documentation, training and runbooks, so your team owns and extends the agent.
Deliverables
What you get
- A working agent running in your infrastructure
- An evaluation setup to track quality over time
- Documentation and runbooks
- A team trained to run and extend it
Beyond AI
Also helping with
- Scaling engineering teams: hiring, team structure and processes
- Architecture reviews and technical strategy
- Fractional technical leadership for a defined period
Experience
Leading teams, building agents
I'm VP of Technology and have scaled engineering teams. I design and build internal AI agents that teams rely on every day.
Read how I built itGet in touch
Have a use case in mind?
Email me a short description of the workflow. I will tell you whether an agent is the right fit and what it would take.