Field-deployed AI systems for customer operators

Practical AI that gets its hands dirty.

We turn messy operating loops into controlled AI/software systems: source-grounded, human-reviewed, and useful before anyone starts saying transformation.

The work

Start with the operator, not the agent.

Arctos Field AI is for teams where work lives across meetings, email, documents, memory, and judgment. We do not sell a chatbot and hope the company adapts. We find the operating drag, build the smallest useful loop, and keep the machine on a short leash until it earns trust.

Workflow Recon

Find the loop worth automating

We map the actual handoffs, approvals, documents, and repeated follow-up that eat operator time before any agent is allowed near the controls.

Private Source Pack

Teach the system how the company thinks

Company vocabulary, operator preferences, review rules, forbidden actions, and eval prompts become durable context instead of fragile chat history.

First Useful Build

Ship a controlled v0

One narrow workflow produces reviewable summaries, drafts, registers, or packets from approved materials with sources and missing-info flags.

Maintenance Loop

Tune against real edits

Weekly feedback turns rough outputs into a working operating loop, then we decide whether to expand, hold, or kill it.

Services

What we can build first.

Position

No agent theater. No infinite consulting fog.

The first version should make one piece of the business easier to run: fewer dropped follow-ups, clearer documents, faster drafts, better status visibility, cleaner decision support. If the loop does not survive contact with real operator edits, we kill it and move on.

Contact

Bring one ugly workflow.

We will map it, bound it, build the first useful version, and find out if AI belongs there.

Start with Greg