---
title: "Coyotiv for enterprises. AI, out of the slide deck and into production."
description: "We find where AI pays off in your business, build the systems that deliver it, and train the people who will run them."
url: https://coyotiv.com/for-enterprises/
---

For enterprises and scale-ups

# AI, out of the slide deck. Into production.

We find where AI pays off in your business, build the systems that deliver it, and train the people who will run them.

[Book an AI review](https://coyotiv.com/for-enterprises/#book) [See AI work](https://coyotiv.com/work/)

Clients include

How it goes

## From the pilot to the people who run it.

Most enterprise AI stops at the demo. This is how we take it to production.

1. ### A written review  
A lead maps your workflows, data and systems, then writes down where AI pays off, where it doesn't, and what it will cost.
2. ### One system in production  
One workflow, end to end, on your real data and inside your security rules.
3. ### Measured as it runs  
Every system ships with checks on quality, cost and drift, so you can see what it earns.
4. ### Your people run it  
We train the team that will own it, pair with them on the next workflow, then step out.

Proof

## Already in production.

[See all work](https://coyotiv.com/work/)

Government technology and HR processes

### [AI workflows with decisions you can trace.](https://coyotiv.com/work/dubai/)

Defined responsibilities for agents and a record of execution steps that teams can examine when reviewing a decision.

AI infrastructure

### [Building an AI platform and the team behind it.](https://coyotiv.com/work/openserv/)

An agent API and marketplace, supported by an engineering team and auditable reasoning based on BRAID.

Questions

## What enterprise teams ask us first.

Something missing? Ask us directly, and an engineer replies by email.

[Talk to an engineer](https://coyotiv.com/for-enterprises/#book)

### What if the review says AI isn't worth it?

Then we say so, in writing. You keep the review either way, and we point you to the work that will pay off instead.

### Can you work within our security and compliance rules?

Yes. We build inside your cloud accounts, behind your access rules, and only with the data your policies allow. The review lists what your security team needs to approve before we start.

### Which models and vendors do you use?

The ones that fit the workflow, your data rules and your budget. We compare them on your own examples during the review, and we build so you can switch models later.

### Who owns the code, the data and the models?

You do. The code lives in your repositories, the data stays in your systems, and everything we build is yours when we step out.

Contact

## Book an AI review.

Free, 30 minutes, with a lead who has shipped AI in production. Tell us which workflow you have in mind.

- Enterprises AI review
- Startups Free architecture review
- School Apply for the next cohort
[hello@coyotiv.com](mailto:hello@coyotiv.com)