AI Care

Managed AI operations for systems that can't afford to drift.

AI systems don't fail loudly. They drift, degrade, and overspend quietly — unless someone is watching.

FormatMonthly retainer
InvestmentCustom pricing

When AI Care is the right fit

Any company with AI in production — whether we built it or someone else did. If an AI system touches customers, revenue, or compliance, it needs an operational owner.

  • Customer-facing AI
  • Revenue-critical AI
  • Compliance-sensitive AI

What can go wrong in production

Model drift

Model drift that silently erodes accuracy weeks after a successful launch.

Hallucinations

Hallucinations reaching customers or staff before anyone notices.

Uncontrolled cost growth

LLM costs creeping up month over month with no owner and no ceiling.

Provider & integration failures

Provider outages and API changes breaking workflows at the worst possible time.

No operational owner

No one on your team whose job is the operational health of your AI — because that job didn't exist two years ago.

What we monitor and manage

01

Monitoring & alerting

Continuous monitoring of your AI systems — business-hours or 24/7 coverage, your choice.

02

Output quality & drift checks

Drift and hallucination detection with automated evals, so quality problems surface in dashboards, not in customer complaints.

03

Cost control

Budgets, alerts, and monthly optimization that keeps spend predictable.

04

Incident response

Incident response with defined severity levels and response times.

05

Ongoing improvement

Monthly operations report: quality trends, cost trends, incidents, and improvement recommendations.

How support works

Observe

Continuous monitoring surfaces signals across quality, cost, and system health.

Detect

Drift, hallucinations, and cost anomalies are flagged with automated evals and alerts.

Respond

Incidents are triaged by severity level, so the right issue gets attention first.

Improve

Monthly reporting turns quality and cost trends into concrete recommendations.

A continuous cycle — not a one-time fix.

What is included

Continuous monitoring

Continuous monitoring of your AI systems — business-hours or 24/7 coverage, your choice.

Drift & hallucination detection

Automated evals so quality problems surface in dashboards, not in customer complaints.

Cost control

Budgets, alerts, and monthly optimization that keeps spend predictable.

Incident response

Defined severity levels and response times for handling incidents.

Monthly operations report

Quality trends, cost trends, incidents, and improvement recommendations.

SLA options

Response targets, escalation rules, and any service credits are agreed as part of the engagement.

Expected result

Earlier issue detectionMore stable AI qualityPredictable operating cost

Ready to talk it through?

Book a call