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Definitive answer

How much does an AI agent implementation cost?

Enterprise AI agent implementations typically cost $15,000 for a 2-week readiness assessment, $50,000–$80,000 for a fixed-scope production pilot in 6–10 weeks, and $150,000–$250,000+ for multi-agent programs. Ongoing run-rate is $5,000–$25,000 per month for inference, observability, and AgentOps. Total first-year investment for a single workflow: $120,000–$300,000.

Cost components

Costs split into three buckets: build, run, and change management.

  • Build — discovery, design, integration, eval harness, deployment.
  • Run — LLM inference, vector DB, observability, on-call coverage.
  • Change — training, SOP rewrites, governance reviews, audit prep.

What drives variance

The biggest cost drivers are integration surface (number of MCP/API endpoints), data quality remediation, and the strictness of the evaluation bar. Regulated industries (healthcare, finance, legal) add 20–40% for compliance reviews.

Frequently asked

What does Implement Agentic charge?+

Closed-Loop AI Readiness Assessment: $15,000. MCP Readiness: $20,000. Agentic Workflow Pilot: $50,000+. Managed AI AgentOps: from $15,000/month.

What is the typical payback period?+

On a well-scoped workflow, 3–6 months. The fastest paybacks come from proposal-to-SOW, RFP response, and Tier-1 support deflection.

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