How we work
Low-risk by design.
You're trusting an outside partner with a real part of your operation. Here's how we make that an easy yes.
Start small: fixed scope, fixed price, fixed date.
One workflow, about three weeks, a price you know up front. No open-ended project.
See it work on your files first.
We build a working proof on your actual documents before you commit to the full build. If it doesn't do the job, you don't move forward.
Nothing changes about how you run.
It sits on top of your current systems. Your team keeps working exactly as they do.
You stay in control.
The assistant handles the routine; your people approve anything that matters. You set the line.
Senior hands, not a science project.
We automated these exact workflows for major insurers and lenders. You get that experience without the big-integrator price tag, and you talk directly to the senior people building it.
Your data stays yours.
Your files and your clients' data stay in your control. NDA before we start, always.
What we actually build
Under the hood, an Artomai assistant is a thin layer of AI agents wired into the systems you already run: document intake and classification, data extraction and verification, drafting, routing, and the integrations and dashboards that hold it all together. We bring the same workflow-automation, system-integration, and data capabilities we built at enterprise scale, sized for a firm like yours.
The engineering behind the speed
We build the way the leading AI labs build.
Artomai is an AI-native engineering practice. The tooling and methods below are why we deliver in weeks what platform integrators quote in quarters, and why the result holds up under regulated, audit-bound work.
Agent orchestration
Our systems are multi-agent by design: an orchestrator supervising specialized subagents, parallel fan-out for high-volume document processing, adversarial verification passes for accuracy, and deterministic pipelines where the work demands repeatability. Human approval gates are engineered in, not bolted on.
Agentic engineering
We develop with coding agents (Claude Code and Codex) run in parallel under senior engineering direction, with automated review and test loops. It is the same method the frontier AI labs use internally, and it is why our build timelines read like typos to firms quoting the traditional way.
Model strategy
Model-agnostic and benchmarked, not brand-loyal. We route each task to the model that earns it: frontier models for judgment and drafting, fast models for high-volume extraction and classification, with structured outputs and tool use holding the pipeline together. When the models improve, your system improves with them.
Grounded in your data
Retrieval-augmented generation, context engineering, and MCP-based integrations ground every agent in your documents and systems of record. Agents cite what they read. Nothing is answered from thin air.
Evals, guardrails, observability
Every workflow ships with an evaluation suite, confidence thresholds, and guardrails, so agents know when not to act. Full audit trails and observability come standard, because we built for compliance-heavy work first.
Security and data boundaries
Least-privilege access to your systems, your data kept in your control, NDA before we look at a single file. AI does not change our security posture; it inherits it.
Book a 20-minute process map.
You'll leave knowing the workflows costing your team the most time, whether or not you work with us.
Kickoff in ~2 weeks · NDA on request · You stay in control