Custom AI Agent Builds

From pilot to production AI agent — fixed scope, fixed price.

A custom AI agent is built around your business rules, proprietary data, and internal systems — not a generic assistant. We take a single high-value workflow from a working pilot to a hardened production deployment with evaluations, human-in-the-loop gates, and observability baked in.

A custom AI agent build is an engagement that designs, ships, and operates an AI agent tailored to one of your workflows. It includes use-case scoping, an LLM + orchestration + tools + memory architecture, integrations with your systems, an evaluation harness, human-in-the-loop controls, and observability. Pilots ship in 2–4 weeks; production builds typically run 8–16 weeks.

Why Now

In 2026, AI agents crossed from experiment to infrastructure: roughly 80% of enterprise applications shipped in Q1 2026 embedded at least one agent, and the agent market jumped from $7.6B in 2025 to about $10.9B in 2026. The teams seeing returns — median payback around five months — are the ones that treat agents as production software: scoped to a measurable outcome, wired to real systems, and backed by evaluations. Generic platform agents rarely understand your pricing logic or data; custom builds consistently outperform them where it matters.

~80%

Enterprise apps shipped in Q1 2026 that embed at least one AI agent

Gartner, 2026

5.1 months

Median payback period across enterprise agent deployments

BCG & Forrester, 2026

$10.9B

AI agent market size in 2026, up ~43% from $7.6B in 2025

IDC / CB Insights, 2026

What You Get

Use-case discovery and ROI scoping

Agent architecture: LLM + orchestration + tools + memory

Integrations with your CRM, helpdesk, database, or internal APIs

Evaluation harness with production-trace replay

Human-in-the-loop approval gates for high-stakes actions

Observability and tracing (OpenTelemetry)

Deployment on AWS Bedrock, Azure AI Foundry, or Google Vertex AI

Handover documentation and runbooks

How It Works

Discovery & ROI Scoping

We pick one workflow with a measurable outcome, define success metrics, and map the systems the agent must touch.

Pilot Build

A working agent on your real data in 2–4 weeks, with the core tool integrations and a demo you can put in front of stakeholders.

Evaluate & Harden

We add an eval harness, retry/backoff logic, guardrails, and human-in-the-loop gates so the agent survives messy production input.

Deploy & Observe

Production deployment with tracing and dashboards, plus documentation so your team can operate and extend it.

Who It's For

Customer support and SDR / outbound automation
Finance and operations back-office workflows
Data analysis and report generation
Any workflow with proprietary rules a generic agent cannot learn

Frameworks & Tools

Anthropic ClaudeOpenAI GPTLangGraphCrewAIModel Context Protocol (MCP)AWS BedrockGoogle Vertex AIAzure AI Foundry

Timeline2–4 week pilot, 8–16 weeks to production

PricingPilots from $8,000; production builds $25k–$150k

What This Delivers

Representative outcomes based on typical engagements and industry benchmarks.

2–4 wks

To a working pilot on your real data

40–70%

Typical cost-per-task reduction (industry benchmark)

~5 mo

Median payback across enterprise agent deployments (benchmark)

“The pilot was live in three weeks and the eval harness meant we actually trusted it in production — not just in the demo.”

Head of Customer Support — Representative B2B SaaS engagement

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Frequently Asked Questions

When an agent needs to understand your specific business rules, access proprietary data, or integrate with internal systems no platform supports, a custom build wins. An agent that knows your pricing logic, inventory rules, and customer segments consistently outperforms a generic one.

A working pilot ships in 2–4 weeks. Production hardening — evaluations, guardrails, integrations, and observability — typically brings the full build to 8–16 weeks depending on complexity and compliance needs.

Pilots start at $8,000 fixed price. Full production builds typically run $25,000–$150,000 depending on integrations, channels, and evaluation requirements, with ongoing inference and infrastructure costs on top. We scope a fixed price before you sign.

We build the eval harness, tool-error recovery, memory management, and human-in-the-loop gates that separate the agents that reach production from the ~89% that stall in pilot. Observability is wired in from day one so regressions are caught early.

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Ready to start your Custom AI Agent Builds?

Typical timeline: 2–4 week pilot, 8–16 weeks to production. Tell us about your situation and we'll scope it in a free call.

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