AI automation, built to last

Automation that takes root

Starting with

Your invoice pile

We map the workflow, build the agents, and hand back a system that runs on its own. No brittle scripts, no new headcount, no six month rollout.

Book a free automation consultation See how it works

First workflow live within 6 weeks

Runs in your cloud tenant

Lead intake · live run

✓Catch the lead from the form, ad, or inbox0.2s

✓Score and tag it against your ideal customer2.1s

✓Check it against every contact you already have0.5s

✓Create or update the record in HubSpot0.9s

✓Alert you in Slack when it is worth your time0.3s

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What we build

Four places automation pays for itself first

Every engagement starts with one workflow that is costing you real hours. We ship that, prove it, then branch out.

◧

Document intake

Invoices, bills of lading, claims, and contracts read, matched, and filed. Exceptions go to a person with the reasoning attached.

OCRMatchingAudit trail

◑

The assistant that knows your business

Trained on your handbook, past tickets, and the way your team actually answers. It cites where every answer came from, so you can check it.

RAGCitationsYour docs

◇

Scheduling and dispatch

Jobs matched to the person, the skill, and the window that fits, with the reschedule handled when something slips.

RoutingCalendarsConstraints

◎

Order and status chasing

The follow-ups nobody enjoys. Where is it, did it ship, has it been signed, asked and answered without a person opening five tabs.

TrackingRemindersEscalation

Hours a month handed back on a typical first workflow.

From kickoff to the first automation running in production.

Of routine tasks clear the accuracy bar we agree on up front.

How it works

Roots before branches

Automation fails when it is bolted on top. We learn the need as well as business context before proposing any solutions.

01 / Trace

We ask until it is clear

A working conversation with the people who do the task, not a questionnaire. We map every handoff, exception, and unwritten rule before proposing anything.

02 / Prototype

One workflow, working

A narrow build against your real data, running beside your team so you can compare its output to theirs before anyone commits.

03 / Wire in

Into your stack

Deployed in your cloud, using your identity provider and your data retention rules. We hand over the repo and the runbook.

04 / Tend

We keep it healthy

Models drift and processes change. We monitor accuracy, retune, and extend it to the next workflow when you are ready.

About us

Engineers who have run the systems we automate

Chaparral Dr AI was started by people who spent a decade building distributed systems in freight, warehouse, and healthcare, where a failed job is not a support ticket, it is a truck sitting idle. We build automation the same way we built those platforms: observable, reversible, and boring in production.

Your data stays in your tenant. We deploy into your cloud account, not ours, and you keep the keys.

Every automated decision is logged with its inputs and its reasoning, so an auditor can follow it later.

You own the code. If you end the engagement, the system keeps running and your team can maintain it.

Named for the street where it all started

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