AI FOR BUSINESS · SUSTAIN

An AI director for your company

Without the cost of a full-time executive. They join your leadership team part-time, make decisions, govern risk and are accountable for AI’s return.

  • 1 to 4 days a month
  • 90-day minimum commitment
  • Embedded in your leadership

what it is

Not just another consultant

Large companies already have a Chief AI Officer: an executive accountable for AI delivering results. The Fractional AI Director is that same role, with the same authority, part-time. It is the model companies already adopted with fractional CFOs and CTOs.

AI consultant

  • Delivers a report or a project.
  • Leaves when the deliverable is done.
  • Accountable for what they recommend.
  • An external vendor.
  • Works per project.

Fractional AI Director

  • Delivers decisions, direction and follow-up, month after month.
  • Leaves when your company can go on alone.
  • Accountable for what they decide and for the return.
  • Part of leadership.
  • Works on an ongoing basis.

what they do

Their work is measured in decisions, not hours

A handful of good decisions (what to build, what to buy, what to stop, under which rules) is worth more than a hundred pilots. The director does not build: they decide and direct whoever builds, your team or LAB9’s.

  1. Assess where your company stands

    Which tools are already in use, including unauthorized ones, which processes take the most time and which data is available.

  2. Define the plan and prioritize by return

    An opportunity map ordered by impact and effort, not by hype, and a 90-day roadmap with owners and metrics.

  3. Decide what to build and what to buy

    Independent assessment of vendors, models and tools.

  4. Set the rules of the game

    Responsible use, data protection, and what AI can do alone versus what requires human approval.

  5. Get pilots into production

    Choose the first workflow worth scaling, define who builds it and follow it until it works day to day.

  6. Prepare your people

    Role-based training, with method, so change depends on the whole organization, not on one enthusiast.

  7. Measure and report

    Hours saved, costs avoided, sales impact: a clear dashboard and a periodic report to leadership.

what your company gains

AI leadership for a fraction of the cost

Focus

Stop trying scattered tools and put AI where it moves the needle.

Measurable results

Every initiative has a metric. You know how much you invest and how much comes back.

Less risk

Clear rules on data, privacy and human oversight before something goes wrong.

Speed

Go from experimentation to production in weeks, not years.

A prepared team

Your people learn to work with AI with method, and the knowledge stays in the company.

Tailored dedication

1 to 4 days a month depending on your size and the initiatives underway, with a 90-day minimum commitment.

“The advantage will not go to the company that tries the most tools, but to the one that turns AI into a stable, repeatable and measurable system that improves how work gets done every day.”
Alejandro Jatib · CEO of LAB9

who leads it

AI leadership backed by LAB9

Alejandro Jatib

AI Director · LAB9 founder

Engineer, MBA in innovation and more than 20 years in digital transformation. Certified Design Sprint facilitator and creator of the AI7 and PROCESO methods. The leadership that designs the strategy is the same that follows it into production.

FAQs

Frequently asked questions

About dedication, scope and how it combines with the rest of the path.

Between 1 and 4 days a month, with regular cadence meetings, depending on your company’s size and the number of initiatives underway. The minimum commitment is 90 days, so there are results to show.

No. They direct whoever builds: your in-house team or the LAB9 team through AI7 implementation. That keeps accountability for return separate from execution.

It is the recommended entry point: in a month it delivers the plan the director will lead. If your company already has a plan, you can start directly.

When your company can go on alone: when AI is no longer a project but an organizational capability, with internal owners and its own review rhythm.

CONTACT

Shall we work
together?

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