Does your organization have an AI strategy yet?

We help leadership teams find where AI actually fits, pick the right tools, and roll it out safely. In weeks, not months.

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Your team is already using AI. The question is how.

People are pasting confidential documents into ChatGPT during their lunch break. Marketing is paying for one tool. Operations is paying for another. Nobody has agreed on a policy.

And leadership is still trying to answer a basic question: where does AI actually move the needle for us?

These are the things we hear from executives every week:

  • "We need to adopt AI, but our data has to stay secure."
  • "I don't want to hire a whole engineering team to make this work."
  • "We've paid for a few tools and none of them stuck."
  • "Half our staff is excited. The other half is worried about their jobs."
  • "We don't know which use cases are actually worth chasing."
  • "What do we do about compliance, audit logs, and access control?"

If any of that sounds familiar, you're in the right place.

What working with OmbuLabs.ai looks like

For more than 14 years we have helped companies turn ambitious ideas into working software. Now we focus that experience on AI strategy for non-profit organizations and small businesses. 

We're a small team of AI experts who do this for a living, and we like to keep engagements practical.

Here's what we do:

1. Discovery

A short, focused round of interviews with your leaders, your business users, and your IT team. We learn what's actually slowing them down. We analyze the most time-consuming workflows. 

2. Recommendation

A clear, opinionated take, not a 60-page report. We compare the AI platforms that fit your environment (Microsoft Copilot, Claude for Work, Writer, Devs.ai, OpenAI, and others) and tell you which one to bet on, and why.

3. Rollout

Two or three real workflows running in production. Document summarization. Report generation. Project scheduling. Whatever is most painful for your team.

4. Governance

A usage policy your legal and compliance folks will sign off on, with single sign-on, role-based access, audit logging, and content controls baked in.

5. Adoption

Training sessions per department, weekly office hours, and the kind of hand-holding that turns a pilot into a habit.
You don't need a software engineering department, a team of data scientists, or petabytes of data to leverage AI in your day-to-day workflows. 

You need the right partner.


In about 2 weeks, here's where you'll have:
  • A written AI strategy that fits your business, your budget, and your security posture.
  • Two or three workflows running in production, saving real hours every week.
  • A team that has been trained, knows the rules, and is using AI on purpose instead of in secret.
  • A foundation you can expand on, one workflow at a time.

Let's talk about your AI strategy

Engagements start with a one-week discovery, then we scope the rest together based on what we find. No two AI rollouts look the same, so we price each one against what your business actually needs.

Drop us a note below and we'll set up a call.

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Drop us a message about your project requirements and let us know how we can help.