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StatistiqAI
Service · Run & Optimize

Keep the systems in production.

Shipping is not finishing. AI systems decay — drift, prompt regressions, cost explosions, regulator scrutiny, new data distributions. Run & Optimize is the compounding work: monitoring, MRM, evals, retraining, optimization, and AI Center-of-Excellence support that keeps systems alive after the launch announcement.

When clients reach us

Five common moments.

  • 01An AI system was launched but nobody is monitoring it properly.
  • 02Model performance, eval scores, or prompt quality has drifted and nobody caught it.
  • 03GenAI cost has grown faster than usage and finance is asking pointed questions.
  • 04A regulator, audit committee, or model risk function has flagged the AI inventory.
  • 05An internal AI Center of Excellence needs senior practitioner support without another full-time hire.
What we offer

5 run tracks.

Each can stand alone or compose into a larger system. Senior practitioners staff every engagement end-to-end — the architect is the engineer is the operator.

RUN.01Rolling

Managed AI Operations

Ongoing monitoring, incident response, and maintenance for production AI systems. Defined SLAs, escalation paths, weekly health reports, and a named senior practitioner on the account.

DELIVERS · Production AI under SLA

RUN.026–8 wk

Model Risk Management

Carrier-grade MRM scaffolding for production ML and GenAI — evaluation cadence, drift detection, validation reports, and audit-ready documentation. Designed for regulated industries.

DELIVERS · Operating MRM framework

RUN.036–10 wk

Eval & Quality Engineering

Continuous evaluation pipelines for GenAI and agentic systems — golden sets, regression suites, human-in-the-loop scoring. The infrastructure that keeps GenAI outputs honest.

DELIVERS · Continuous eval infrastructure

RUN.044–6 wk

Cost & Performance Optimization

Structured review of inference cost, latency, retrieval performance, and model selection. Delivered as a fixed-scope engagement with quantified before/after results.

DELIVERS · Documented cost / latency wins

RUN.05Custom

AI CoE Support

Embedded senior support for an internal AI Center of Excellence — operating model, intake review, architecture sign-off, and program-level health reporting.

DELIVERS · Senior CoE air cover

How we build

Three pillars.

— PILLAR 01

Defined SLAs and named accountability.

Every Run engagement has explicit service levels, escalation paths, and a named senior practitioner on the account. Ambiguity in operational agreements is a liability.

— PILLAR 02

Receipts, not claims.

We measure what we move — drift caught, dollars saved, evals improved. We publish what we measure. We end engagements with a written handover.

— PILLAR 03

Transfer-ready.

Every Run engagement is structured to increase the capability of your internal team — runbooks, evaluation playbooks, on-call shadowing — not to create permanent dependency on us.

What we won’t do

Anti-patterns we name out loud.

  • We will not monitor uptime and call it model risk management.
  • We will not optimize cost without measuring the impact on output quality.
  • We will not run an engagement without a defined success metric for the system.
  • We will not treat operational support as a black box with no visibility.

Have a run problem you need shipped?

Most first conversations are 30 minutes with a senior partner. We don't run sales development outreach — if you talk to us, you're talking to a practitioner.