Managed AI Agents (AgentOps)

Agents Take Real Actions. Someone Should Be Watching Them.

AI agents don't stay reliable on their own. They call APIs, read and write data, and take actions — and every model update, tool change or new edge case can quietly change how they behave.

Codersarts Managed AI Agents give your agents an accountable operator. We monitor every run, catch failed tool calls, review what each agent is allowed to do, tune prompts and instructions, and ship every change through tested change control. You get a monthly report showing what the agents did, what broke, what we fixed and what it cost.

4.9/5 client rating · Clients in 50+ countries · Monthly plans · NDA on request · Working-hour overlap with US & Europe

WHAT'S INCLUDED

What's Included in Managed AI Agents?

• Run monitoring — Success, failure and stall rates per agent and per workflow, with alerts on spikes.

• Tool-call failure tracking — Failed API calls, timeouts, malformed outputs and retries traced to the root cause.

• Prompt and instruction tuning — Monthly improvements driven by real run logs and eval results.

• Permission and guardrail reviews — Least-privilege access, spending caps, approval gates and audit trails.

• Escalation handling — Clear rules for when an agent hands off to a person, and who that person is.

• Change control — Every prompt, model or tool change is regression-tested and can be rolled back.

• Cost tracking — Token and API spend per agent, per run and per completed task.

• Monthly operations report — Volume, success rate, incidents, fixes, cost and next recommendations.

SIGNS YOU NEED IT

Signs You Need Managed AI Agents

• Agent runs fail or stall and nobody notices until a customer or colleague complains.

• The engineer or agency who built the agent has moved on.

• A model or API update changed the agent's behavior overnight.

• You can't say how many runs succeeded last month, or what they cost.

• The agent has broader system access than it needs, and no one has reviewed it.

KEY FACTS

Key Facts

HOW WE WORK

How It Works

1. Review — we assess your current setup, data, integrations, costs and quality, and set a baseline

2. Scope and SLA — we agree what's in scope, quality measures, response times, reporting and price

3. Onboarding — access, monitoring, alerts and documentation set up; we take over day-to-day operation

4. Monthly — we operate, improve and report against the SLA, with recommendations for next steps

WHAT WE MEASURE

What We Measure Every Month

• Task success rate on an agreed eval set

• Tool-call failure rate

• Escalation rate and response time

• Cost per completed task

• Incident response time against the SLA

WHO THIS IS FOR

Is This Right for You?

A strong fit if you are one of these:

• Teams with a customer-facing agent (support, sales, booking) that must not fail silently.

• Ops and back-office teams running internal agents across CRMs, ERPs and ticketing tools.

• SaaS companies with agent features inside their product.

• Companies running several agents that need one owner, one report and one SLA.

PLATFORMS

Platforms We Support

LangGraph, CrewAI, AutoGen, OpenAI Agents SDK and Assistants, Claude, Amazon Bedrock Agents, Azure AI Foundry, Microsoft Copilot Studio, n8n agents and custom-coded agents.

See all technologies we work with.

PRICING

Pricing

Per-agent plans start from $499 per month. Multi-agent systems, business-critical agents and regulated environments move to Growth, Business or Enterprise plans with faster response times and governance reporting.

Compare all tiers on AI Managed Services Plans, or start with a free 14-day pilot review.

BUILD, FIX OR RUN

Build, Fix or Run: Choose the Right Service

Need it built? Start with one of these:

• AI Agent Development

• Multi-Agent Orchestration

Need a one-time fix? Use one of these:

• Codersarts Support

• Codersarts Tasks

Need it run every month? That's Managed AI Agents, part of Codersarts AI Managed Services.

FAQ

Frequently Asked Questions

What is a managed AI agent service? It is an ongoing service where a provider operates your production AI agents — monitoring runs, fixing failures, tuning prompts, reviewing permissions and reporting monthly — under agreed service levels.

Can you manage agents you didn't build? Yes. We audit the agent, document how it works, close critical gaps and then run it under a managed plan.

Which agent frameworks do you support? LangGraph, CrewAI, AutoGen, OpenAI and Claude agents, Bedrock Agents, Azure AI Foundry, Copilot Studio, n8n and custom code.

Is this the same as AgentOps? AgentOps is the discipline of running agents in production. Managed AI Agents is that discipline delivered as a service, with Codersarts accountable for the outcome.

How much does it cost? Plans start from $499 per agent per month. Larger or business-critical agent estates are priced by scope and SLA.

GET STARTED

Tell Us About Your AI System — Get a Plan in 48 Hours

Share a few details about what you're running and a Codersarts AI engineer will review it and send a recommended plan, scope and price.

What happens after you submit

1. Review — we look at your system and goals

2. Call — a 30-minute call to confirm scope

3. Plan — a written plan with SLA and price

4. Start — onboarding begins within a week

BACKED BY CODERSARTS

More Ways Codersarts Supports Your AI

• AI Managed Services — the full catalogue of AI systems we run for you

• Forward Deployed Engineers — AI engineers embedded in your team

• AI Strategy & Architecture Audit — a one-time review of your AI stack

• Hire Developers — dedicated developers for your roadmap

Related Services in This Cluster

• Managed LLMOps — prompt versioning, model upgrades, regression checks and routing for LLM apps

• LLM Quality Monitoring — monthly evals, scoring and regression checks for live AI applications

• AI System Takeover — audit, stabilize and run AI systems built by someone else