Agent Operations
The demo worked. Now it has to run every day.
A prototype on a laptop isn’t a system. Production means real traffic, identity, audit trails, cost control, and someone accountable when it breaks. We take AI the last mile, and stay to run it.
Part of
03Operate
Keep AI working.
Agent operations & maintenance
Where this sits in the lifecycle
The problem
The pilot runs on a hardcoded API key. Production needs identity, access controls, audit trails, cost management, and a team that knows how to run it.
- Pilots that work in a demo and stall before launch
- No security or compliance story for the review board
- Costs that spike without warning
- Nobody accountable once it’s live
How we work
Four steps. One team the whole way.
- 01
Assess the prototype
What has to change to handle real users, real traffic, and real security requirements.
- 02
Build in the controls
Identity, access, data classification, and audit trails designed for your regulatory environment.
- 03
Deploy with visibility
Observability, cost tracking, and alerting from the first day in production.
- 04
Run it, or hand it over
We operate it with named owners, or hand your team the runbooks and training to run it themselves.
What’s included
What agent operations covers. In practice.
Secure architecture
Data isolation and infrastructure that scales with demand, not a prototype stretched thin.
Identity & access controls
Fine-grained permissions, data classification, and audit trails for regulated environments.
Cost & usage monitoring
Spend, usage, and performance tracked in real time, with no surprise bills.
Compliance-ready
Designed for SOC 2, HIPAA, and GDPR from the start, not after an audit finding.
Operational playbooks
Runbooks, incident response, and documentation your team can actually use.
Model lifecycle
Evaluate, upgrade, and retire models without breaking what depends on them.
What you can hold us to
Commitments. Not marketing ranges.
The uptime figure is from a named case study; the rest is what the engagement commits to.
- uptime
- 99.9%
- uptime
- On the scheduling platform we run across 100+ clinics
- owners
- Named
- owners
- Someone accountable for the system after launch
- who runs it
- Your choice
- who runs it
- We operate it, or your team takes it with runbooks and training
Go deeper
More under Operate, and beyond.
- OperateKeep AI working. Own and continuously improve AI systems after they reach production.
- Agent StrategyKnow which workflows AI should take on first, before you fund the build.
- Agent EngineeringAgents that do the work inside your systems, not beside them.
- Agent Knowledge LayerAI is only as good as what it knows about your business.
- Forward-deployed engineersHowever you start, our engineers embed with your team: your Slack, your repo, your standups.
Bring us your stalled pilot. We’ll get it running.
Tell us what stopped it shipping: the security review, the cost, or nobody to own it. We’ll tell you what it takes to get it into production and keep it there.