We build your AI agents.
End to end.

From initial workflow mapping through production deployment — we design, build, and ship custom AI agent systems for mid-market and enterprise engineering teams.

Built for engineering teams in

SaaS FinTech HealthTech E-commerce Manufacturing Logistics Professional Services

Every enterprise wants agents.
Almost none ship them.

Three failure modes we see on every new engagement — before we fix them.

Strategy theater

Big consultancies plan, never build

You paid $200K for a 90-page roadmap that lives in SharePoint. Your internal team has no idea how to execute it. Nothing ships.

SaaS doesn't fit

Off-the-shelf tools miss your workflow

Generic AI platforms are built for generic problems. Your procurement process, your data model, your edge cases — those require custom work.

No internal expertise

Your team doesn't know what they don't know

LLM orchestration, tool-use reliability, evaluation frameworks, production monitoring — the depth required isn't in most engineering orgs yet.

Strategy and code, from one team

Three phases. One embedded team. You get a working system — not a slide deck.

1

Discovery — 2 weeks

We map your target workflow end to end, identify the highest-ROI automation opportunities, define the success criteria, and scope the build. Output: a technical spec and a flat-fee proposal.

2

Build — 4–10 weeks

Our engineers design the agent architecture, build the tool integrations, implement evaluation harnesses, and ship working software into your infrastructure — not a demo environment.

3

Deploy & Stabilize

We hand off a production system with observability, failure handling, and a runbook. Ongoing retainer available for iteration, monitoring, and expanding scope as you see results.

Six workflow categories
where agents deliver fast ROI

📋

Document processing

Extract, classify, and route structured data from contracts, invoices, compliance documents, and reports — automatically.

🔄

Internal workflow automation

Agent-driven orchestration across your internal tools — Jira, Salesforce, NetSuite, Slack — without brittle point-to-point integrations.

🎧

Customer support triage

Classify inbound requests, retrieve context, draft responses, and escalate edge cases to humans — with full audit trail.

📊

Research & reporting

Agents that pull data from multiple sources, synthesize analysis, and generate structured reports on a schedule or on demand.

💬

Sales & CRM operations

Qualify leads, enrich records, draft outbound sequences, and update CRM fields based on conversation summaries — without manual entry.

🛡️

Compliance & monitoring

Continuous monitoring of contracts, data pipelines, and system outputs for policy violations — with human review queues for exceptions.

Transparent. Flat-fee. No surprises.

We scope before we price. Every project starts with Discovery so you know exactly what you're getting.

Discovery
$4,500
flat fee
Two-week deep-dive into your target workflow. You get a technical spec and a fixed-price build proposal.
  • Workflow mapping & analysis
  • Agent architecture design
  • Technical spec document
  • Fixed-price build proposal
  • ROI model
Book Discovery
Retainer
$8,000
per month
Ongoing embedded engineering for iteration, new automations, and production support.
  • Dedicated engineering hours
  • Priority response SLA
  • Continuous improvement sprints
  • New workflow expansion
  • Production monitoring
Discuss Retainer
See full pricing details →

How to think about AI agents

Ready to scope your first agent?

A 30-minute scoping call is all it takes to know if we're the right fit.

Book a scoping call