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AI Operations

AI Operations That Keep Your Automations Running

After your custom AI automations are live, we host, monitor, and continuously improve them against the KPIs defined in your roadmap. Your team focuses on the business. We handle the AI infrastructure, performance, issue resolution, and ongoing optimization.

The Problem

AI agents need ongoing attention. The question is who provides it.

Deploying an AI agent is where the real work starts. Models degrade as your data changes. Integrations break when vendors update their platforms. Edge cases emerge that the original build didn't anticipate. Without active AI monitoring and maintenance, the performance gains you saw at launch erode over time.

Most small and mid-size businesses don't have the infrastructure or team to manage AI in production. Hiring for it means competing for the same engineers big tech companies are chasing, at salaries that don't make sense for most businesses. And handing it to your existing IT team adds a capability they weren't built for, on top of everything they already manage.

This model solves the problem by keeping the team that built your agents responsible for running them. We already know the architecture, the integrations, and the KPIs. That continuity means faster issue resolution, better optimization, and no knowledge transfer gap.

The Service

Everything your AI agents need to stay live, accurate, and improving.

Our AI operations service covers the full lifecycle of your agents in production. Every component is tied to SLAs with specific performance targets, so accountability is built in.

AI Hosting

We host your AI agents on secure, scalable infrastructure managed entirely by our team. Your data stays in a secure environment, encrypted at rest and in transit. We handle capacity planning, failover, and scaling so your agents perform consistently as your transaction volumes grow. You don't provision servers, manage cloud accounts, or worry about uptime.

AI Monitoring

Proactive AI monitoring tracks every agent's performance: processing speed, accuracy rates, throughput, error frequency, and integration health. We set alert thresholds tied to the KPIs from your roadmap, so we catch issues before they affect your operations.

Issue Resolution and AI Support

When something breaks or underperforms, we fix it. Our AI support covers everything from integration failures and data pipeline issues to model accuracy drops and exception spikes. Response times are defined in your SLA, and resolution is handled by the same engineering team that built your agents.

AI Maintenance and Optimization

AI agents aren't static. We run continuous AI maintenance to keep your agents current: updating models as your data patterns shift, refining exception handling as new edge cases surface, and improving accuracy over time. Optimization is tied to your KPIs, so every improvement is measured against the metrics that matter to your business.

Scaling

As your business grows, your AI agents need to handle more volume, more processes, and more complexity. We scale the infrastructure and the agents together, so performance stays consistent. When you're ready to automate additional processes from your roadmap, we pick up the next sprint cycle and build the next agent.

How We Engage

From assessment to operations, AI built around your business.

Every engagement starts with a defined payback, delivers AI automation in production, and improves continuously against the KPIs that matter to your business.

Is This Right for You

Building a custom AI agent is a real investment. The return depends on how it runs.

Your roadmap, your implementation sprints, the time your team invested in training and change management: all of that produces an agent capable of delivering measurable results. But the results only materialize if someone is actively running the agent in production, accountable for uptime, accuracy, and performance against the KPIs that justified the build.

Our operations service keeps the team that built your agents responsible for running them. We already understand your architecture, your integrations, your data, and your KPIs. That means your investment delivers the returns your roadmap projected, consistently, as your business grows.

Get Your AI Readiness Assessment

FAQ

Questions about AI operations with ExactTempo.

Straight answers on what AI operations covers and why it matters.

The service covers everything your agents need to stay running and improving in production: AI hosting on secure infrastructure, real-time AI monitoring with alert thresholds tied to your KPIs, issue resolution and AI support from the engineering team that built your agents, continuous AI maintenance and optimization, and scaling as your business grows. Every component is covered by defined SLAs.
You can, but for most small and mid-size businesses, the economics don't favor it. Running AI in production requires infrastructure management, model monitoring, integration maintenance, and engineering capacity for issue resolution. Hiring for that means competing for specialized talent at $200K+ per engineer, for a function that sits outside your core business. A managed service gives you the same capability at a fraction of the cost, with the advantage that the team already knows your systems.
Your SLA defines response times for critical issues. When an agent goes down or underperforms, our engineering team is alerted automatically through our AI monitoring system and begins resolution immediately. Because we built the agent and manage the infrastructure, we can diagnose and fix issues faster than an internal team encountering the architecture for the first time.
We track the same KPIs defined in your AI readiness assessment: hours saved, cost per transaction, error rate, and throughput. These are measured continuously through our monitoring systems and reported monthly. If any metric trends below target, we investigate, optimize, and report back on what changed and why.
Yes. Your AI roadmap from the readiness assessment typically identifies multiple automation opportunities sequenced by priority. As each agent goes live and stabilizes in production, we can start the next sprint cycle to build and deploy additional agents. The operations engagement scales with you. Get started with an assessment.
Traditional IT support manages infrastructure and resolves tickets. AI operations goes further: continuous model optimization, accuracy tracking, KPI-based performance management, and proactive improvement. Your IT team manages your network and devices. We manage the agents that run your business processes. The skills required are fundamentally different, which is why most mid-size companies treat this as a managed service rather than adding it to their IT team's plate.
Get started

Keep your AI agents running at peak performance.

Book a call and we'll walk you through how the service works as part of the full engagement. If you haven't started an AI readiness assessment yet, that's where we begin.