Keep Your AI Agents Running in Production

Ongoing operations, monitoring, and optimization of your deployed AI agents — so your team can focus on building, not babysitting.

Duration: Ongoing retainer Team: Dedicated AI Operations Team
The Challenge

You might be experiencing...

AI agents degrade over time as data and user behavior changes
No one monitors agent performance, accuracy, or cost efficiency
Model updates and prompt changes are risky without proper testing
Incidents involving AI agents have no clear response procedure

Deploying an AI agent is just the beginning. Production AI agents require continuous monitoring, performance optimization, prompt tuning, and incident response — just like any critical production system.

Our managed AI operations service provides the ongoing expertise your team needs to keep agents performing at peak accuracy, reliability, and cost efficiency. We monitor agent behavior, detect drift, optimize prompts, evaluate new models, and respond to incidents — so your team can focus on building new capabilities.

We provide monthly performance reports with actionable recommendations, cost optimization analysis, and A/B testing for prompt and model improvements.

Our Approach

Engagement Phases

Week 1-2

Onboarding

Agent inventory, monitoring setup, baseline metrics, SLA definition, runbook creation, escalation procedures.

Ongoing

Steady-State Operations

24/7 monitoring, performance optimization, prompt tuning, model evaluation, cost optimization, incident response.

What You Get

Deliverables

24/7 agent monitoring and alerting
Monthly performance reports with recommendations
Prompt optimization and A/B testing
Model evaluation and upgrade management
Cost optimization and efficiency reports
Incident response and postmortem analysis
Expected Outcomes

Before & After

MetricBeforeAfter
Agent UptimeUnmonitored99.9% SLA
Performance VisibilityNoneReal-time dashboards
Cost per InteractionUnknownTracked and optimized monthly
Incident ResponseAd-hocDefined SLA with postmortems
Technology

Tools We Use

Langfuse Grafana PagerDuty Custom Eval Suite
Common Questions

Frequently Asked Questions

What does the managed AI operations retainer include?

The retainer includes 24/7 agent monitoring and alerting, monthly performance reports with recommendations, prompt optimization and A/B testing, model evaluation and upgrade management, cost optimization, and incident response with postmortem analysis.

How do you handle model upgrades when new versions are released?

We evaluate new model versions against your specific agent workloads using our custom evaluation suite. We run comparison tests, measure accuracy and cost impact, and only recommend upgrades when they demonstrate clear improvement. All changes go through staged rollouts.

What SLAs do you offer?

We define SLAs based on your requirements, typically targeting 99.9% agent uptime. Incident response times are defined per severity level, and every incident includes a blameless postmortem with action items to prevent recurrence.

How quickly can you onboard our existing AI agents?

Onboarding typically takes 1-2 weeks. We inventory your deployed agents, set up monitoring with Langfuse and Grafana, establish baseline metrics, create operational runbooks, and define escalation procedures before entering steady-state operations.

Can you help reduce our AI inference costs?

Yes. Cost optimization is a core part of the service. We track cost per interaction, identify opportunities for prompt optimization, model selection improvements, and caching strategies. Clients typically see 20-40% reduction in inference costs within the first quarter.

Get Started for Free

Schedule a free consultation with our AI agents team. 30-minute call, actionable results in days.

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