AI Services · Run
Your AI agents, run like production infrastructure.
Agents and gateways need an owner after launch: someone watching quality, cost and model changes. We run them for you, with spend capped and every model version pinned.
Launch is the easy part
Models change under you. Prompts drift. Costs creep up one feature at a time. Exceptions pile up in a queue nobody owns. Without an owner, the agent that worked in March is quietly worse by June, and nobody can say when it started.
We’ve run production infrastructure for years. AI systems need the same discipline: monitoring, change control, capacity and cost reviews, and someone accountable.
What you get
Managed agents and gateway
capped monthly retainer
Monitoring, exception queues, evaluation upkeep, model upgrades, a monthly cost review and a monthly allowance for improvements. When we run your gateway, agents and measurement, this fee replaces their separate run fees.
Hosted AI services
setup quoted up front, then monthly
We host and run the service for you in our cloud account, for example an answering agent or a knowledge assistant. You get the outcome without running the infrastructure. It’s the one service where the data it handles sits with us rather than in your environment.
Fractional AI engineering lead
4–8 days a month · monthly retainer
A named senior engineer who owns the technical delivery plan and the agents in production, reporting to your CTO or Chief AI Officer.
The discipline of production infrastructure
Instrumented once, templated everywhere
Every system we run reports cost, quality and failures the same way, so problems surface early and fixes carry across.
Models pinned, upgrades planned
Model versions are pinned as configuration with a tested upgrade path, so you decide when a model changes.
Spend has a ceiling
Budgets are enforced at the gateway. A runaway loop stops at the cap you set.
We run our own AI this way
Nightly
an AI judge scores a sample of our AI output against versioned rubrics, so quality has a daily trend line
1 commit
per-session cost tracking traced a sudden cost jump to a single code change
Automatic
credential rotation for our gateway, its databases and sign-in
Run by the team that built it, or by us after someone else did
Systems we build come with a run option from day one. If another team built your agents, we start with a fixed-fee review of the evaluations, controls and costs, then take over the run.
Questions system owners ask
What happens if an agent starts making mistakes?
Evaluation scores and exception rates are checked against thresholds we agree with you. Every agent has a kill switch, so we can pause it while we fix a drop. You see the incident report.
How is it priced?
Monthly services are capped retainers: one fixed monthly fee, sized to the agents and systems we run.
Can we take it back in-house later?
Yes. Managed systems run in your accounts and are documented with runbooks, and we hand over to your team when you’re ready.
A free way to start
Run our AI Spend Snapshot to see what your AI costs by key and model. Or book the 30-minute live demo to watch a governed agent paused, scored and stopped at its budget.
Hand us the running of your AI.
Describe what you run, who built it and what worries you about it. We’ll outline what running it would involve.