EBAC Business — Corporate Solution

AI Living Lab

Deploy AI with method, culture and governance

An EBAC Business solution combining a learning platform, consulting, maturity diagnosis and applied training — to help companies move beyond isolated tests and transform AI into institutional capability.

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160K+ professionals trainedIndustry professionals and specialistsWorkshops with leading companies
The real problem

Your company doesn't need one more AI tool. It needs a method to use AI safely and with results.

Companies don't fail at AI because of a lack of tools. They fail because they try to automate immature processes with low digital literacy, unclear data, fragile governance and an unprepared organizational culture.

Shadow AI without control

Teams adopt AI individually, creating data risk, inconsistent decisions and security vulnerabilities invisible to leadership.

Scattered tools without criteria

Multiple tools adopted on impulse, without cost, risk or utility assessment — creating duplication and waste.

Pilots that don't scale

AI projects that work in demos but stall in real operations due to lack of process, culture and governance.

Automating broken processes

AI accelerating flows that should be redesigned — generating speed in the wrong direction and growing cultural resistance.

Legal and intellectual property risk

Sensitive data and strategic information being processed by tools without contracts, usage policies or compliance evaluation.

Impact without measurement

Growing AI spending without clear adoption, productivity or return indicators — making internal justification difficult.

Core thesis

AI is a stage of digital transformation, not a shortcut to it.

Before deploying AI, a company needs to have traveled a path. The AI Living Lab helps to understand where that journey stands — and to move forward safely.

1

Digitization

Analog information becomes accessible records.

2

Digitalization

Workflows, documents and systems organized.

3

Digital Transformation

Processes, decisions and operating model redesigned.

4

Applied AI

Automation, assistance and capability expansion with safety.

Journey

How the AI Living Lab works

A structured journey in 5 stages, from diagnosis to scale plan — with close support at each phase.

STAGE 01

Maturity diagnosis

We map the current state of the company: digital maturity, AI literacy level, active uses (official and shadow), operational risks and cultural readiness.

STAGE 02

Opportunity map

We identify and prioritize use cases with the greatest impact and lowest risk for the company's specific context — without tool bias.

STAGE 03

Applied training

Learning paths for leadership and teams, with content contextualized to the sector and the organization's real challenges.

STAGE 04

Labs with real cases

Hands-on workshops where participants test, validate and prototype AI solutions using the company's own data and challenges.

STAGE 05

Governance and scale plan

Minimum AI policy, decision criteria, adoption indicators and executive roadmap to transform tests into institutional capability.

What the company receives

Concrete deliverables, not just platform access

The AI Living Lab is a results-oriented solution. Each stage has tangible outputs that the company keeps and applies.

Digital and AI maturity diagnosis
Opportunity map by area
Learning paths for leadership and teams
Recorded content and support materials
Hands-on workshops with real company cases
Mentoring for projects and ideas
Support for creating minimum AI policy
Safe and responsible usage templates
Use case prioritization framework
Adoption and impact indicators
Executive recommendations report
Cultural and technical implementation plan
Why AI Living Lab

We don't start with the tool. We start with the context.

Common approach

Generic tool training

AI Living Lab

Training applied to the company's real context

Common approach

Isolated pilots without continuity

AI Living Lab

Prioritized use case portfolio with follow-up

Common approach

Individual and scattered use

AI Living Lab

Institutional AI capability with method

Common approach

Focus on prompt and tool

AI Living Lab

Focus on process, decision and business outcome

Common approach

No clear governance

AI Living Lab

Criteria, policies, indicators and basic compliance

Common approach

Adoption by enthusiasm

AI Living Lab

Accompanied and measurable implementation

Audience

Who is the AI Living Lab for

Companies that need to transform improvised AI use into an institutional method, with real involvement from business areas.

HR and L&D
Innovation Directorates
Digital Transformation
Operations and Processes
Marketing and Sales
Executive Leadership

Also serves teams that need to improve productivity, analysis, documentation and decision-making with AI support — focused on real application, not hype.

Transformation

What changes with the AI Living Lab

Before

Improvised AI use

After

Institutional AI method

Before

Isolated pilots with no results

After

Prioritized cases with follow-up

Before

Punctual training

After

Continuous and contextualized learning

Before

Invisible risk

After

Minimum governance and basic compliance

Conceptual foundation

Approach aligned with international references in responsible AI and digital transformation

The AI Living Lab methodology draws on frameworks from organizations such as McKinsey, OECD AI Principles, NIST AI Risk Management Framework, World Economic Forum, MIT Sloan / Leading Digital and Gartner — focused on real organizational application, not theory.

Next step

Ready to transform AI into institutional capability?

Talk to an EBAC Business specialist. We will understand your company's current stage and show how the AI Living Lab can accelerate that journey.

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AI Living Lab | AI Implementation for Companies | EBAC Business