01DEV-01
Intake and triage
Read what arrives, classify it, route it, and draft the first response.
DEV-01 · AGENTScstmAI™ · Development · Custom AI agents
Custom AI agents, built one workflow at a time.
We design and build custom AI agents that do a specific job inside your systems (triaging intake, matching documents to records, preparing the next step) and we prove they do it well before anyone depends on them.
Fig. 01 · Instrument assembly in a clean room, NASA JPL
Off-the-shelf agents are general by design. The work worth automating in your business isn't: it lives in your forms, your exceptions and your systems. A custom agent encodes your procedure, reaches your systems through scoped connectors, and stops for approval wherever your people say it should.
Every agent we build ships with an evaluation set of real cases, a trace of every action it takes, and a plan for widening its authority as it earns trust. It runs on the cstmAI™ Agents runtime on your hardware, and you own the code.
| Starts with | A two-week discovery sprint |
|---|---|
| Team | Engineers and a product lead, working with your domain experts |
| Deliverables | Agent code, prompts, tools, evaluation set, runbook |
| Runs on | cstmAI Agents, on your cstmAI hardware |
| Ownership | Yours, including code and evaluation data |
Agents we build
Repetitive work with clear rules and real volume.
02DEV-01
Document-to-record matching
Invoices to purchase orders, claims to policies, forms to accounts.
03DEV-01
Order and claim checks
Compare a submission against rules and records; flag what doesn't fit.
04DEV-01
Report preparation
Pull figures and notes from several systems into a first draft.
05DEV-01
Ticket routing
Assign, prioritize and summarize, with context gathered from history.
06DEV-01
Research assistants
Gather and cite sources for a question across your own collections.
Reel 02 · Overhead crane above the shop floor, Paterson, NJ1994
How it's delivered
Four steps, each one signed off.
01
Map
Walk the workflow with the people who do it; list steps, systems and exceptions.
02
Evaluate
Build a test set from real cases before writing the agent.
03
Build
Agent, tools and connectors, iterated until the scores hold up.
04
Pilot
Suggest-only with a real team, then widen authority where it's earned.
FAQ
Questions we hear first.
How do you choose the first agent?
In discovery we list candidate workflows and rank them by volume, how clear the rules are, data access and risk. The first build should be frequent, measurable and safe to supervise.
Do agents replace staff?
The agents we build take on the repetitive part of a job and hand exceptions to people. Most teams spend the recovered time on work an agent can't do.
What models do the agents use?
Open-weight models running on your hardware, chosen by evaluation for each step. A small, fast model for routing and a larger one for reasoning is a common pairing.
Get a quote
Spec your system.
Tell us the models you want to run, how many people will use them and where the hardware should live. An engineer replies with a first configuration and the questions that decide the quote.