--- title: "Managed AI Operations | Operate | AppStream Studio" description: "We run, monitor, and continuously improve AI systems after they reach production, so they stay accurate as your business and the models change." url: https://appstream.studio/solutions/operate markdown_url: https://appstream.studio/solutions/operate.md --- 1. [Solutions](https://appstream.studio/solutions.md) 2. 03 Operate # Operate Keep AI working. Own and continuously improve AI systems after they reach production. Launch is the start of an AI system’s life, not the end of the project. Processes change, data drifts, models get replaced, and costs move. Operate keeps the system accurate, observable, and worth what it costs, with named people accountable for it. [Talk to an AI engineer](https://appstream.studio/schedule-a-discovery-call.md) See the proof Start here if - You have AI in production and nobody clearly owns it - Quality has drifted and you can’t tell why - A new model is out and you don’t know if switching is safe - AI costs are growing faster than the value you can measure 1. [01 Advise](https://appstream.studio/solutions/advise.md) 2. [02 Engineer](https://appstream.studio/solutions/engineer.md) 3. [03 Operate You are here](https://appstream.studio/solutions/operate.md) [Govern Runs across all three](https://appstream.studio/solutions/govern.md) Capabilities ## Five capabilities. One team across all of them. - ### Managed AI operations We take operational ownership of the system: monitoring, incident response, releases, and a regular review of what it delivered. You get named owners and agreed service levels rather than a support inbox. - ### Agent operations & maintenance Agents depend on processes, tools, and data that keep changing. We update prompts, tools, and knowledge as they do, and retire behaviors that no longer match how the business works. [Deep dive Agent Operations](https://appstream.studio/solutions/agent-operations.md) - ### AI observability & evaluation Every request traced from input to action, with quality scored continuously against your evaluation sets. When something degrades, you see where and why before your users report it. - ### Model & infrastructure operations We test new models against your evaluations, roll them out behind flags, and roll back if the numbers slip. Infrastructure is patched, scaled, and kept inside your security boundary. - ### Performance & cost optimization We route each task to the smallest model that does it well, cache what can be cached, and cut wasted tokens. Cost is reported next to the outcome it bought. What you get ## Things you can use. Not a slide deck. - ### Named ownership Engineers accountable for the system, with agreed response times. - ### Live quality dashboard Accuracy, latency, cost, and business outcome, in one place. - ### Model upgrade path New models evaluated and adopted on evidence, not announcements. - ### Monthly review What the system did, what changed, and what to improve next. Proof ## Operate in practice. Shipped and running. [All case studies](https://appstream.studio/case-studies.md) - [Healthcare A multi-year engagement keeping a scheduling platform at 99.9% uptime across 100+ clinics. 99.9% uptime](https://appstream.studio/case-studies/healthcare-scheduling-transformation.md) - [Private Equity An ongoing engagement where each new acquisition joins the same knowledge layer, with no rebuild per deal. 0 rebuild per deal](https://appstream.studio/case-studies/enterprise-genai-people-operations.md) - [Healthcare An ongoing engagement keeping the reimbursement engine current as payer policy changes. Real-time scoring](https://appstream.studio/case-studies/ai-reimbursement-eligibility-engine.md) The rest of the lifecycle ## Related pillars - [01 Advise Know where to apply AI. Find where emerging AI capabilities can create measurable business value, and build the roadmap to get there. Explore Advise](https://appstream.studio/solutions/advise.md) - [02 Engineer Turn possibility into production. Build the applications, agents, integrations, and data infrastructure that put AI inside real business workflows. Explore Engineer](https://appstream.studio/solutions/engineer.md) - [Across all three Govern Make AI safe to scale. The controls required to deploy AI across the organization with confidence. Explore Govern](https://appstream.studio/solutions/govern.md) Go deeper - [Agent Operations](https://appstream.studio/solutions/agent-operations.md) ## Put someone accountable on it. Whether we built it or someone else did, we can take ownership of an AI system in production and keep it improving. [Talk to an AI engineer](https://appstream.studio/schedule-a-discovery-call.md) · [See our work](https://appstream.studio/case-studies.md) --- ## AppStream Studio AppStream turns frontier AI capabilities into production systems that perform real work. Talk to an AI engineer: https://appstream.studio/schedule-a-discovery-call · Email: contact@appstream.studio - [Home](https://appstream.studio/index.md) - [Solutions](https://appstream.studio/solutions.md) - [Advise](https://appstream.studio/solutions/advise.md) - [Engineer](https://appstream.studio/solutions/engineer.md) - [Govern](https://appstream.studio/solutions/govern.md) - [How we work](https://appstream.studio/how-we-work.md) - [Work (case studies)](https://appstream.studio/case-studies.md) - [Industries](https://appstream.studio/industries.md) - [Insights](https://appstream.studio/blog.md) - [Partners](https://appstream.studio/partners.md) - [About](https://appstream.studio/about-us.md) - [Contact](https://appstream.studio/contact.md)