Managed AI

We built it. We run it.

Production AI degrades quietly. Models get deprecated, data drifts, costs creep, and quality decays — usually before anyone notices. Managed AI keeps your agents, RAG pipelines, voice AI, and LLM deployments performing in production, with a fixed monthly fee and a real SLA.

Book a Managed AI Assessment See what we cover

Shipped isn't done.

AI systems degrade in predictable ways. Most teams find out from their users.

Model deprecationProviders sunset models on their schedule, not yours. An un-managed system breaks the day the model it depends on is retired.

Quality decayAI output is non-deterministic. Without a live evaluation harness, quality drifts and you find out from your users.

Cost creepToken and inference spend climbs silently as usage grows. Nobody owns the bill until it's a problem.

Integration breakageAPIs change, keys rotate, dependencies move. One upstream change takes the whole workflow down.

No production eyesMost teams have no monitoring, alerting, or incident response for their AI systems. Hope is not an operating model.

What we cover

Five dimensions of production AI operations — monitoring through compliance.

Reliability

Uptime and availability of the end-to-end workflow, monitoring, alerting, incident response, documented runbooks.

Quality

Output quality monitoring, drift and hallucination tracking, prompt and evaluation-harness maintenance, model version upgrades when providers deprecate.

Cost

Continuous token and inference cost monitoring and optimization.

Integrations

Integration health, API and key management, dependency and breakage management.

Data

Pipeline health, data-quality checks, retention and compliance.

Service tiers

Three levels depending on how critical your AI system is to your business.

Sustain

Keep it running

$3,000/mo

Monitoring, alerting, and incident response for production AI systems.

Monitoring, alerting, and incident response
Model-deprecation patching and version upgrades
Monthly health report

Coverage: Business hoursResponse SLA: Next business day~4 hrs/mo included change workMonthly health report

Optimize

Keep it improving

$7,000/mo

Everything in Sustain, plus active cost optimization and quality tuning.

Everything in Sustain
Active cost optimization
Quality/eval tuning and drift correction
Monthly review call

Coverage: Business hoursResponse SLA: 4 business hours~12 hrs/mo included change workMonthly review call

Evolve

Keep it ahead

$15,000/mo

Everything in Optimize, plus quarterly roadmap and a named delivery lead.

Everything in Optimize
Quarterly improvement roadmap for the system
Named delivery lead
Quarterly strategic review

Coverage: Extended / on-callResponse SLA: 1 hour~24 hrs/mo included change workQuarterly strategic review

Pricing scales with system criticality and is confirmed after a short assessment. As a rule of thumb, Managed AI runs 15–25% of the original build value per year.

Why AR Data

The team that built it runs it.

No handoff to a separate support desk. The senior engineers who shipped your system operate it.

Eval-first operations.

Every system we manage has a structured evaluation harness — we measure quality, we don't guess at it.

We onboard systems we didn't build.

A short assessment maps your AI system, adds monitoring and an eval harness, and brings it under SLA.

FAQ

Stop hoping your AI keeps working. Put it under SLA.

A short assessment maps your AI system, identifies gaps, and gives you a fixed-price proposal — usually within a week.

Book a Managed AI Assessment