Getting it live was chapter one. Keeping it right is the work.
One engagement, two modes: the build puts a workflow live; the retainer keeps it reliable, integrated, and governed, in your tenant.
What changes after go-live
Models are retired, document formats drift, volumes grow, and costs creep token by token. Each new integration widens what the system touches. None of this is failure; it is what production means. Operate is the standing form of the same engagement: the team that puts workflows live keeps them right, whether or not we built yours.
Evals, testing and observability for AI systems
An eval suite is the test suite for a system whose behavior is not deterministic: graded cases that state what correct means for your workflow. We build the suite, wire it to run before anything ships, and add tracing so any production answer can be explained after the fact.
The suite states what correct means; a change ships only when it is green. The first run you see will be your own.
Agent monitoring and fleet governance
Once agents act on real systems, someone must know what each one did and be able to stop any of them. We install monitoring that records every action with its context, alerts on thresholds you agree, and gives you the controls to pause, roll back, or retire an agent.
Monitoring watches production against thresholds you agree; crossing one raises an alert, not a surprise.
Bespoke integration and MCP, with multi-model backends
Most of the value in production AI is integration: models, tools, and your systems of record working under your access rules. We build that connective layer, including MCP servers for your internal tools where the standard fits, with multi-model backends so a provider change is configuration, not a rebuild.
One MCP layer connects multi-model backends to your internal tools; swapping a provider is configuration, not a rebuild.
Guardrails, red-teaming and AI security
A system that reads untrusted documents and holds tool access can be steered by what it reads. We install input and output guardrails, scope tool access to least privilege, and red-team the system before and after go-live: prompt injection, data exfiltration, and the failure modes specific to your workflow.
Untrusted input and model output each pass a guardrail; tool access stays least-privilege inside the boundary.
Cost control for agents and LLM workloads
LLM spend is a unit-economics question: cost per document, per ticket, per run, not one monthly bill nobody can explain. We meter per workflow, route work to the cheapest model that clears your accuracy bar, and set budgets that alert before they are exceeded.
Spend is metered per document and per run, with a budget that alerts before it is exceeded and work routed to the cheapest model that clears your bar.
How the retainer works
The eval suite is the contract of correctness: the agreed statement of what the system must get right, kept current as your documents and rules change. Monitoring watches production against named thresholds, and changes, a new model, a new document type, a new integration, pass through an agreed change process: evaluated, gated, then shipped. Each month you get a report of what was measured, what changed, and what it cost. We would rather show you a real one; the first report you see will be yours.
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Changes to a live system enter at observe and ship only through the gate.
The workflow review is free and tells you what your case would take.
What we do not sell
We do not resell gateways, dashboards, or seats. What we install runs on your stack, under your accounts, and everything we build there is yours: if we walked away tomorrow, your system would keep running and your bills would still come from your own providers. The service is the judgment and the work, not the plumbing.
Fair questions
Do we have to rebuild?
No. Instrumentation comes first: an eval suite and monitoring around the system as it stands. Most systems then need targeted fixes at the points the measurements name; a rebuild is a last resort you would see coming.
Can you work with what we already built?
Yes; that is the normal case. Most run engagements start with a system someone else built, live or stalled. We instrument what exists first, so every decision about it is made against measurements instead of recollections.
Who owns what?
You do. Everything we build in your tenant, code, eval suites, configuration, documentation, is yours, and the contract says so in writing.
What does it cost?
A build is a fixed price with staged payments. The retainer is a monthly fee agreed against the scope of what we run: set per scope, not per seat. The workflow review is free and tells you what your case would take.
How does security work?
Delivery work happens in your tenant, under your keys; your documents and systems stay yours. The full posture, including the two kinds of data and how each is handled, is on the data and security page.
Bring the system you are running now; the review tells you what keeping it right would take.
- Book a workflow review
- Commission a Production Readiness Assessment
- Commission the build