Services

Four ways we work with teams

Engagements are scoped around an outcome, not a fixed package. Most start with an assessment and continue into build and operate.

1 · Agent strategy & advisory

For teams that know AI matters but need a defensible plan before committing budget.

Opportunity assessment across a process or business unit
Use-case prioritisation against effort, risk and value
Architecture, data and integration constraints
Build-versus-buy and vendor evaluation
Risk, governance and human-in-the-loop design

2 · Agent engineering

For teams that have a defined use case and need it built properly.

Agent design: tools, memory, planning and control flow
Retrieval and knowledge integration over your own content
System integration with existing APIs and back-office software
Evaluation harnesses, test sets and regression checks
Cost, latency and reliability work before launch

3 · Managed operations

For agents already in production that need to stay dependable.

Monitoring, tracing and alerting for agent behaviour
Continuous evaluation and quality drift detection
Cost and rate control across providers
Incident triage and prompt/model change management
Runbooks and handover to your own team

4 · Evaluation & assurance

For organisations that need evidence an agent is fit for purpose.

Task-level accuracy and failure-mode analysis
Safety, privacy and data-handling review
Human review design and escalation thresholds
Documentation and audit-ready reporting

Engagement

How an engagement usually runs

Assessment

Two to four weeks. We map the process, the data and the constraints, and come back with a recommendation you can act on — including a clear "no" where that is the honest answer.

Pilot

A working system on real data, measured against criteria agreed up front. Typically four to eight weeks, with a decision point at the end.

Production & operations

Hardening, rollout, then ongoing operation and iteration. We aim to leave your team able to run and extend the system.