11D · Flagship productEdition for the CEO

Does your company already have a Native AI Department?

We don't sell you an AI project. We leave the capability to do AI installed in your company.

We design, build and hand over the complete department, up and running: strategy, team and governance, plus custom AI systems and AI agents connected to your operation.

30-minute executive conversation Assess your AI maturity
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General management Manufacturing Distribution Services Retail Native AI Department 4 pillars · serving every area General management Native AI Department 4 pillars · every area Manufacturing Distribution Services Retail
IThe starting point

Sound familiar?

  1. 01AI tools have been bought, but nobody owns the results.
  2. 02There were one or two pilots that looked great in the demo and never reached production.
  3. 03The board asks what the company is doing with AI and the answer is a list of initiatives, not a number.

It's not a technology problem: AI doesn't yet have a place in the company.

IIThe options you already know

Each option solves one part.

They all help. But AI capability needs all four pieces at once, and they are almost always bought separately.

Strategy consulting firm

Gives you the plan. Nobody builds it.

Software firm or integrator

Gives you systems. Your team doesn't learn and you depend on the vendor.

Courses and training

Gives you knowledge. Nothing reaches operations.

Hiring an internal team

Gives you in-house capability. It's slow, and nobody knows where to start.

Native AI Department · 11D

All four pieces together, with metrics in writing. In the end, the capability is yours.

IIIWhat you get

Four pillars, each with concrete deliverables.

Which documents, roles and systems get installed in your company.

01

Strategy

We define the strategy

What to do with AI, in what order and how it will be measured, based on your operation's real numbers.

  1. Maturity and operations assessment: where the money is going today.
  2. Portfolio of use cases prioritized by return and by ease.
  3. 12-month roadmap with each case's metric and its baseline.
02

Talent

We train your team

Clear roles and people able to operate AI inside the business, not just use it.

  1. Role map: who owns AI, who operates it and who approves in each area.
  2. Training by level: leadership, middle management and operations, built on your company's real cases.
  3. Usage guides for each area's day-to-day work with the tools.
03

Governance

We establish governance

Rules to decide what gets automated, under which controls and with which owners.

  1. AI usage policy: what data can be used, in which tools and with which permissions.
  2. Decision matrix: what AI resolves on its own and what requires human approval.
  3. AI committee with an agenda, indicators and traceability for every system in production.
04

Infrastructure

We implement the infrastructure

Custom AI systems and AI agents, built for your operation and connected to it, that produce measurable results.

  1. Data layer connected to your ERP, CRM and critical spreadsheets.
  2. AI agents and custom systems in production, starting with the highest-return case.
  3. Command Center with the department's indicators and monitoring of every system.
IVHow it's built

In stages, with a result you can measure in each one.

Every stage delivers something you can measure. Timelines adjust to your company.

  1. Stage 01

    11D Scan

    A measured starting point: maturity, operations, prioritized cases and roadmap.

  2. Stage 02

    Ignition

    The first case in production with a written metric, and the team learning on something real.

  3. Stage 03

    Command Center

    The department running: governance in force, several cases in production and their indicators in plain sight.

  4. Stage 04

    Orbit

    Handover: your team operates and decides; we support, measure and build what comes next.

VWho it's for

It's not for every company.

It's for

  • Companies with real operations —manufacturing, distribution, services, retail— and more than 40 people.
  • Leadership that has already decided AI is strategic and wants an owner, not another demo.
  • Teams willing to measure before building and to commit to a metric in writing.

It's not for

  • Anyone looking for a tool to install tomorrow.
  • Anyone who wants a strategy document to file away.
  • Anyone who expects AI to decide on its own about things that cost money.
VIWho builds it

An engineering firm, not a slide-deck firm.

Engineers from Tecnológico de Monterrey specialized in AI agents, language models and automation. The same team designs the strategy, builds it and runs it; that's why the metric is signed in writing.

Memo for your board → AI Maturity Assessment →

VIIFrequently asked questions

What executives ask us

How is this different from an AI Center of Excellence?

A Center of Excellence sets standards and advises. The Native AI Department includes that governance, but it also builds and runs systems in production with committed metrics.

Do I need to hire new people?

Not to start: it begins with your people, with new roles and training. If a technical hire is needed later, we help you define and recruit the profile.

How much does it cost?

It is quoted with your operation's real numbers, after the 11D Scan. We fit your budget, and the Scan is fully credited toward the first implementation.

How long does it take?

The first result in production arrives in weeks, during Ignition. The rest is built in stages, at your company's pace.

VIIIThe first step

A 30-minute executive conversation.

With the team that builds, not with a salesperson. If a Native AI Department doesn't make sense for you, we'll tell you.

RequestTo: 11D Logic

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Prefer to come with data? Complete the maturity assessment first (5 minutes).