Moving Beyond Reactive Safeguards to Built-in AI Governance
Agents Do Not Follow a Predetermined Path
The controls traditional ML never needed are built in from the start. Agents chain decisions across tools and write to real systems, where one error compounds across every step that follows.
Control Built into Every Line
Safety, tracking, and cost controls built directly into your AI systems from day one, catching issues, unexpected behavior, and budget surprises long before they hit production.
What We Build
Engineered for total reliability, security, and cost predictability
Reliability
Full tracing and performance tracking across every agent run, with automated evals testing expected behaviors before model updates reach production.
Safety
Automated dependency validation, least-privilege access controls, and audit trails capturing every tool call, input, and output, built into every deployment.
Cost Management
Cloud spend tracked by agent, use case, and business unit from day one, so you can optimize before the bill arrives.
What We Do
Built for full-stack modernization
Managed AI
Full monitoring, incident response, re-evaluation, and cost optimization handled as an ongoing engagement.
Internal Ownership
Operations run uninterrupted while capability embeds in-house, so by handover, your team owns it completely.
Incident Response
Every decision sequence is traced end-to-end, the failure point identified, and the fix applied before it recurs.
Cost Optimization
LLM calls, tool invocations, and API requests are monitored before cost structures diverge from the business case.
IP from Production AI Operations
Total Agent Visibility
Full tracing across every agent run – task completion, decision sequence, tool calls, outputs, and timing.
Automated Evaluations
Every agent is validated against expected behaviors before any model update reaches production.
Secure from Day One
The scaffolding ships with automated dependency validation, compliance checks, and least-privilege access controls built in from day one.
FinOps Visibility
Our cost controls track cloud spend by agent, use case, and business unit from the start, with real-time visibility to optimize before costs diverge.
The proof, not the promise
FTSE 100 Insurance Provider
£0M+
Saved through faster deployment + higher efficiency on a cutting-edge ML platform.
0 Days
From 6 months to 6 days to roll out a new AI use case.
“AI Booster is delivering significant value to Vodafone, such as reducing Machine Learning model time to deployment to two weeks from three months.”
Supercharging AI + ML at scale
Work With Us
Production AI requires oversight,
not just deployment
Your agents are in production. We make sure they stay there.