2–4 wks
First working agent in production
Service · AI Agents
Custom AI agents that read, reason, and act on your behalf.
Most "AI tools" answer questions. We build agents that finish work — reading documents, reasoning over your data, making API calls, and writing results back to the systems your team already lives in. Shipped in weeks, owned by you.
~90%
Task automation at release — human-reviewed
Yours
Code, prompts, evals, infra — full handover
Fixed-fee
Scoped up-front, no hourly surprises
01 — What we build
Agents that do the job, not just describe it.
An AI agent is software with a goal. It takes an input — a document, a request, a signal from another system — and works through the steps needed to finish the task. It reads, it decides, it calls tools, and it writes results back. Unlike a chatbot that stops at an answer, an agent closes the loop.
We've shipped agents that replace three weeks of data entry with four days of review, agents that draft and route contracts, agents that triage support tickets before a human ever sees them, and agents that run overnight research across thousands of sources. Every one is custom — built around your workflow, your data, and your standards for "right."
02 — Capabilities
Five patterns we ship most often.
- Document & intake agents. Parse PDFs, emails, forms, and scanned paperwork into structured, validated data. Confidence-scored, with a human review queue for anything below threshold. Examples: tax documents, invoices, medical records, legal contracts, insurance claims.
- Research & analysis agents. Synthesize information across internal docs, the web, and proprietary data sources. Cite sources. Write to a shared Doc, Notion page, or Slack channel on a schedule.
- Customer support agents. Triage inbound tickets, draft responses, resolve tier-1 issues end-to-end, and escalate edge cases with full context. Integrated with Zendesk, Intercom, HubSpot, or your CRM of choice.
- Sales & outbound agents. Research prospects, personalize outreach, log every touch to CRM, and surface warm accounts from signals your BDRs are missing. Not spam-machines — accountability-first.
- Internal knowledge agents. A single chat interface over all of your Google Drive, Notion, Slack, and wiki content — with real citations and access controls that match your existing permissions.
03 — How we work
Two-week pilot, then you decide.
Every engagement starts with a scoped 2-week pilot on one real workflow. You provide real inputs (not synthetic examples). We ship a working prototype by the end of week one, run it against your data in week two, and show you accuracy numbers you can trust. If the pilot doesn't prove itself, you walk away with a working prototype and everything we learned — no commitment.
If it does prove itself — and it usually does — we scope a production build, fixed-fee, usually 4–8 weeks. You get the code, the prompts, the eval suite, the deployment scripts, and a handover doc your team can operate from day one.
04 — Stack
Model-agnostic, infrastructure-light.
Models: Claude (Anthropic), GPT (OpenAI), open-source (Llama, Mistral) when cost or data residency demand it. We pick the model per task — not per vendor contract.
Runtime: your cloud (AWS, GCP, Azure, Cloudflare Workers) or ours if you want to move faster. Python + TypeScript. Postgres or your existing DB. Framework choice varies — we've shipped on LangGraph, direct SDKs, and custom orchestration. Whatever's right for the agent, not whatever's trendy.
FAQ
Questions we get every week.
What exactly is an AI agent?
An AI agent is software that takes a goal, reasons through the steps to achieve it, calls tools or APIs along the way, and writes results back to your systems. Unlike a chatbot, it doesn't just answer — it acts. A document intake agent, for example, reads incoming files, extracts the relevant data, validates it, and posts it into your CRM or practice management system.
How long does it take to build a custom AI agent?
Most of our engagements ship a working agent in 2–4 weeks and production cut-over in 6–8 weeks. We start with a 2-week pilot scoped tightly around one workflow so you see real output fast — not a slide deck.
What does a custom AI agent cost?
Fixed-fee pilots start around $15k; full production builds typically land between $40k–$120k depending on complexity, integrations, and whether you need human-in-the-loop tooling. We scope every engagement up-front — no hourly billing surprises.
Who owns the code and the model?
You do. We deliver code, prompts, evals, and documentation into your GitHub. Models run on your API keys (Anthropic, OpenAI, or open-source) in your cloud. We don't hold your agent hostage on our infrastructure.
How do you handle accuracy and hallucinations?
Three layers: confidence scoring on every agent output, a human-review queue for anything below threshold, and an eval suite that regression-tests the agent against real examples before every deploy. You get real metrics — not vibes.
Can you integrate with our existing stack?
Yes. We routinely integrate with Salesforce, HubSpot, Airtable, Notion, Google Workspace, Slack, Zapier/Make, and most SaaS tools with APIs. If your system has a REST API or webhook, we can wire it.
Have a workflow in mind?
Let's scope a 2-week pilot.
Tell us the workflow that's eating your team's time. We'll come back with a scoped pilot plan — or honest advice that you don't need us.
Start the conversation →