SERVICE · 02
Agent infrastructure
You already have agents that work. We build what they need to work together, stay under control and not turn into a black box.
When one agent becomes many, the questions change: who does what, what happens when a tool doesn't respond, why an answer was wrong, what each run costs. We put the layer underneath that answers them: orchestration, traces, evaluation, state and retries.
ONE RUN, STEP BY STEP
Anonymised example on a support ticket. Times, costs and data are illustrative: they show what you get to see at every step.
Example · illustrative data
Look at the same run through four lenses:
- INPUTrunning
Support ticket #4521 · “The integration hasn't responded since this morning”
- CLASSIFIERqueued
type: investigation
— - INVESTIGATORqueued
cause: request limit exceeded on the account
—- search_kb—
- fetch_logs—
- parse_response—
- CHECKqueued
answer consistent with the knowledge base · 3/3 checks
— - RESPONDERqueued
draft reply ready
— - REVIEWqueued
Waiting for human approval before it reaches the customer
- Orchestration · Who does what, in which order
- Observability · What happened, how long it took, what it cost
- Evaluation · Is the answer any good?
- State & retries · What happens when something breaks
WHAT YOU GET
Orchestration
Orchestration in production
Your agent chains, with retries and fallbacks tuned on your real cases.
Observability
Traces and alerts
A view of time, cost and decisions for every run, with alerts when something goes out of bounds.
Evaluation
Tests and evaluation
A suite of test cases and continuous checks on answer quality.
State & retries
Persistent state
Sessions, memory and checkpoints, so a failed run resumes instead of restarting.
WHO IT'S FOR
Teams already using agents or AI automations who now need reliability, control and visibility: why a run went wrong, what it costs, whether quality is slipping. You'll need an in-house technical team able to maintain the setup after handoff.
WHO IT'S NOT FOR
You're starting from scratch (start with → Operational product builds). Your agents don't work well yet and you don't know why (first an → Audit & rewrite).
- Indicative setup: 6–10 weeks
- Ongoing support by agreement
- Any service levels are defined in the contract when they are part of the project
Timelines and terms are indicative. We put them in writing after the first conversation, based on scope.
NEXT STEP
Show us your agents →Tell us what you run today, where it breaks and what you can't see. We reply with where we'd start.
Not sure yet what's wrong with the current stack? → Start with an audit