In 8 weeks, learn to identify where AI really creates value, structure the problem, align business, people, risk and technology, build and test a solution, and decide with evidence what to implement, adjust or stop.
8 weeks live · 16 sessions · 4 individual mentoring sessions · 1 cumulative case
Join to build your own capability to lead AI implementation, or train several leaders with a common method on real organizational problems.
For leaders who want to turn AI opportunities into structured executive decisions.
For organizations that want to train leaders from different areas while working on real company challenges.
The program answers different problems by role. Explore what each profile decides, develops and builds — the real AI decision stays the common core.
Separate hype from value and set investment priority.
See problems, learning and deliverable
Problems
You learn
You build
Turn operational pain into an implementable problem.
See problems, learning and deliverable
Problems
You learn
You build
Move from 'AI training' to capability strategy.
See problems, learning and deliverable
Problems
You learn
You build
From POCs to portfolio and implementation discipline.
See problems, learning and deliverable
Problems
You learn
You build
Connect architecture to the problem and executive decision.
See problems, learning and deliverable
Problems
You learn
You build
From the deck to an implementation methodology.
See problems, learning and deliverable
Problems
You learn
You build
Segmentation is by AI adoption stage, not industry. Explore what each stage faces and what the program develops.
People already use AI, but individually.
See context and application
What is usually blocked
What the program develops
What can be built
Several tools and initiatives, little consistency.
See context and application
What is usually blocked
What the program develops
What can be built
Cases are chosen but must move from concept to pilot.
See context and application
What is usually blocked
What the program develops
What can be built
We must decide what to fix, stop or scale.
See context and application
What is usually blocked
What the program develops
What can be built
You don't need to know which tool solves the problem. The program starts before the tool.
Your problem is not on the list? Bring it anyway.
Tools already let individuals and areas test new ways of working quickly. The executive challenge is turning experiments into decisions: which problem is worth solving, which evidence matters, which risks must be controlled and what deserves investment, adoption or scale.
Ideas and tools appear faster than the organization can evaluate them.
People can work faster while handoffs, decisions and workflows stay unchanged.
A working demo alone does not answer whether something should be implemented, expanded or stopped.
EBAC HIC Method in 8 live weeks with individual mentoring: you bring a real challenge and evolve a single implementation case — from problem definition to a functional, tested and documented solution ready for an implementation decision. For managers, HR leaders, consultants and innovation professionals who need method, not just a tool.
Conditions and investment presented by our consulting team based on your context. Up to 12× installments on credit card.
Train your entire management or innovation team with an exclusive cohort for your company — dates and content adapted to your context.
Request corporate proposalThis program is not for those looking only for a list of tools, prompt tricks or a superficial introduction to generative AI.
The idea starts from High Individual Contributor: professionals who use AI to expand their capacity to analyze, decide, build and deliver. At EBAC, we believe this only truly works with Human in Control: people keeping judgment, evidence and responsibility for what AI does.
More capacity to analyze, decide, build and deliver with AI.
People keep judgment, validation, evidence and responsibility.
Apply the method to a relevant problem, product, service or opportunity, with mentoring.
More capability with AI. People stay in control.
Every synchronous HIC program starts from a real problem. The domain changes; the method core does not: learn only what is needed to build, verify, and prepare application and transfer with human judgment.
Define the problem, people, baseline, constraints, expected value, and success criteria before choosing technology.
Technical and methodological depth follows the challenge and participant role — not a fixed tool checklist.
Turn learning into a solution, workflow, analysis, prototype, artifact, or decision that fits the context.
Test quality, evidence, risks, and limits while keeping review, accountability, and Human in Control.
Document, define ownership, and prepare next steps so the learning can be reused and improved beyond one person.
Implementation does not automatically mean production deployment: each context keeps its own security, approval, integration, and decision gates.
The program doesn't hand you eight independent documents. It runs a single cumulative project: you bring a real challenge and, week by week, evolve a functional, tested and documented solution.
The starting point of the HIC Method is the High Individual Contributor: professionals who use AI to expand their capacity to analyze, decide, build and deliver. At EBAC, this only truly works with Human in Control: people keeping judgment, evidence and responsibility for what AI does. The HIC Method combines both ideas in real projects — more capability with AI, without giving up human control.
A concrete business problem from your company — not a generic exercise.
From problem definition to solution, each week adds a layer to the same case.
Architecture, APIs, prototyping, automation, evals and tests — as your project requires.
Human review at every step: what goes to production, what stays in pilot and why.
Tests, evidence and decision records document each advance of the case.
A functional, tested and documented solution — and the capability to repeat the process.
1 · Solid base — fundamentals, architecture and governance that support any case.
2 · Adaptive application — the method adapts to the real challenge you bring.
3 · Human review — mentoring validates decisions and protects professional judgment.
The same real case runs through all 8 weeks. Each week answers an executive question and produces an evidence milestone — not eight independent documents.
Week 1
What really needs to change? Identify the problem, map the current process, stakeholders and the case baseline.
Week 2
Is it worth solving with AI? Assess value, feasibility and the no-AI alternative, and prioritize the opportunity.
Week 3
What must be true to do this responsibly? Data, privacy, security, compliance and responsibilities.
Week 4
How should the work work? Design the future-state flow, human + AI roles and the solution at executive level.
Week 5
What is the smallest version that can test the hypothesis? Build a prototype or functional pilot as the case requires.
Week 6
How do we know it works? Define test cases, human review, error modes and baseline comparison.
Week 7
What must change beyond technology? Roles, enablement, communication, ownership and the operating model.
Week 8
What do we do now? Consolidate results, limitations, economics, risks and the stop/iterate/implement/scale recommendation.
It is turning an AI opportunity into a structured business decision: understand the problem, involve the right people, assess feasibility, build evidence and decide the next investment.
AI Start
AI Start — foundations and exploration.
Formação Executiva
Executive Training — leadership + a real implementation case.
AI Living Lab
AI Living Lab — assisted organizational transformation.
Want to develop the people who will lead AI? Executive Training. Want EBAC to work with the organization to transform workflows? Living Lab.
EBAC has been training market professionals for years: we know which skills the market is demanding right now — and where many teams still get AI wrong.
Executive applicationAI as a leadership and decision topic, not just a technical tool.
Team in the fieldHands-on workshops with professionals from leading companies.
Governance and cultureBuilding criteria, not just experimenting — from adoption to control.
Real executionMixed cohorts of HR, leaders and specialists apply in practice.
Program lead, applied AI consultant and Managing Director of EBAC's Business & Government unit.
Alan Dantas has studied and taught artificial intelligence since 2012 — predictive first, then generative — as a consultant in institutional transformation, executive education and digital-product development for companies and governments.
He was part of EBAC's founding team and now serves as Managing Director of EBAC's Business & Government unit, leading corporate initiatives, executive training, innovation projects, educational solutions and transformation programs with companies, leaders and public institutions.
As academic and technical coordinator of the Executive AI Training for Companies, Alan owns the methodological architecture and is the main lecturer, connecting strategy, governance, organizational culture, data, risk, automation and hands-on AI implementation.
He has worked with AI in 50+ companies of different sizes and sectors, running projects, training and executive immersions. He is also a professor of AI at IBMEC in MBA programs, short courses and executive immersions.
The program also features guest specialists in topics such as AI, innovation, governance, data, organizational culture, digital law, security and automation, according to each cohort's profile.
Fill in the form and our team will get in touch with information about the next cohort, conditions and a personalized proposal.
Corporate / in-company cohort
Full team or multiple enrollments? Contact us directly on WhatsApp for a personalized proposal.
HIC is an intentional wordplay that represents the two central ideas of the program. The starting point is High Individual Contributor: someone capable of using AI to significantly expand their capacity to analyze, create, decide and deliver. At EBAC, that capacity must be accompanied by Human in Control: people remain responsible for defining objectives, evaluating evidence, reviewing results, setting limits and making decisions. That is why we call our approach the HIC Method: expanding human capability with AI without outsourcing judgment and responsibility to technology.
For managers, HR leaders, consultants, innovation professionals and any executive who needs to structure AI within a company — not just use tools day-to-day.
You don't need to be an engineer, but you will practice real implementation: architecture, APIs, prototyping, automation, evals and tests. The program teaches what you need to build your case, with mentoring reviewing every technical decision — without becoming an engineering bootcamp.
8 weeks of live training, with 16 sessions and 4 individual mentoring sessions, plus a project applied to your real context. Classes are available for review after each session.
Sessions are recorded and made available on the platform. You can watch them later and ask questions during individual mentoring.
Yes. Corporate cohorts are structured for full teams, with dates and content adapted to your context. Contact us via WhatsApp for a personalized proposal.
One cumulative implementation case: you bring a real challenge and finish with a functional, tested and documented solution ready for an implementation decision — plus the capability to repeat the process. Over the 8 weeks you produce evidence milestones (diagnosis, policy, roadmap, tests) that feed this single case.
Yes. The certificate is issued by EBAC, a school recognized in the creative and tech market.
Yes. Up to 12× on credit card. Multiple enrollments, corporate packages and in-company cohorts get personalized conditions — talk to us.
Still have questions? Talk directly to our commercial team.
Chat on WhatsApp