Invisible processes
There is no clarity about how the organization actually works.
alis programs
Institutional capabilities for AI.
Ten routes for training, laboratories and certification to prepare organizations that want to decide better, govern responsibly and transform with artificial intelligence.
Artificial intelligence serving public and organizational decisions.
Most organizations try to implement AI too soon.
When operations are unclear, controls are weak and decisions lack consistent criteria, AI does not solve the problem: it accelerates it. That is why alis prepares capabilities before implementing technology.
Disconnected data
Information exists, but it is not integrated or governed.
Reactive decisions
The organization responds to problems instead of anticipating them.
AI without structure
Teams experiment without method, governance or purpose.
Explore our programs.
01
Leadership · Strategy · Governance
Executive AI to decide better.
Artificial intelligence already impacts decisions, operations and institutional risk. The challenge is no longer experimentation: it is governance, prioritization and leadership.
Decision capability
AI Ready
Why it matters now
AI stopped being a tool. It is now a leadership decision.
In many organizations, AI has already entered through departments, teams and individuals. The problem is not curiosity; it is the lack of shared criteria to decide what to use, what to avoid, what to govern and what to scale.
01
Teams using AI without policy
02
Productivity pressure
03
Regulatory risk
04
Decisions without traceability
Before
Fragmented action.
The organization reacts with isolated initiatives and little shared method.
Now
Institutional route.
Teams align decisions, criteria, risks and next steps.
The shift
From interest to capability.
Learning becomes method when it produces decisions, artifacts and responsible action.
Who it is for
Designed for teams that need to turn AI into capability.
Leadership
Project teams
Innovation
Public sector
Education
Operations
Technology
Community
Executive judgment
Risk evaluation
AI prioritization
Governance
Strategic roadmap
Capability developed
The program converts interest into operational capability.
Participants leave with shared criteria, practical artifacts and a clearer route to act responsibly.
Program map
A strategic route from uncertainty to decision.
What is happening in the organization.
What may fail if AI grows without control.
Where real value exists and where there is only noise.
Which minimum rules must exist.
What must happen in the next 90 days.
Deliverables
What the team takes away.
- 01 AI opportunity map
- 02 Executive risk matrix
- 03 Prioritization criteria
- 04 Minimum responsible use policy
- 05 90-day executive roadmap
- 06 Institutional adoption framework
Applied case
From general interest to a concrete institutional route.
A team converts scattered conversations into a working plan with priorities, owners and next decisions.
3prioritized cases
90roadmap days
1minimum initial policy
The advantage will not be using AI first. It will be governing it better.
02
Training · Literacy · Practical Use
AI for companies, government, education and citizens.
A practical training route so people and teams can use generative AI with judgment, productivity, verification and responsibility.
Learning system
Practice Map
Why it matters now
The new gap is not access to AI. It is judgment.
Many people can open an AI tool, but few know how to integrate it into real work without losing quality, privacy, authorship or traceability.
01
Unverified outputs
02
Sensitive data exposure
03
Prompt misuse
04
Uneven team skills
Before
Fragmented action.
The organization reacts with isolated initiatives and little shared method.
Now
Institutional route.
Teams align decisions, criteria, risks and next steps.
The shift
From interest to capability.
Learning becomes method when it produces decisions, artifacts and responsible action.
Who it is for
Designed for teams that need to turn AI into capability.
Leadership
Project teams
Innovation
Public sector
Education
Operations
Technology
Community
Strategic clarity
Method
Execution
Governance
Scalable learning
Capability developed
The program converts interest into operational capability.
Participants leave with shared criteria, practical artifacts and a clearer route to act responsibly.
Program map
A strategic route from uncertainty to decision.
Read the current AI context.
Define decision criteria.
Design the working route.
Apply it to real cases.
Close with a practical plan.
Deliverables
What the team takes away.
- 01 Opportunity map
- 02 Risk notes
- 03 Use case selection
- 04 Working guide
- 05 90-day route
- 06 Implementation criteria
Applied case
From general interest to a concrete institutional route.
A team converts scattered conversations into a working plan with priorities, owners and next decisions.
3priority areas
90days of action
1working route
AI literacy is not about tools. It is about judgment at scale.
03
Certification · Method · Internal Capability
alis certification.
Programs to form internal references capable of sustaining AI adoption with method, criteria and institutional responsibility.
Evidence route
Certified
Why it matters now
Organizations need internal references, not only external providers.
AI adoption becomes fragile when no one inside the organization can translate needs, risks, opportunities and limits into decisions.
01
External dependency
02
No internal owner
03
No adoption method
04
Weak evaluation
Before
Fragmented action.
The organization reacts with isolated initiatives and little shared method.
Now
Institutional route.
Teams align decisions, criteria, risks and next steps.
The shift
From interest to capability.
Learning becomes method when it produces decisions, artifacts and responsible action.
Who it is for
Designed for teams that need to turn AI into capability.
Leadership
Project teams
Innovation
Public sector
Education
Operations
Technology
Community
Strategic clarity
Method
Execution
Governance
Scalable learning
Capability developed
The program converts interest into operational capability.
Participants leave with shared criteria, practical artifacts and a clearer route to act responsibly.
Program map
A strategic route from uncertainty to decision.
Read the current AI context.
Define decision criteria.
Design the working route.
Apply it to real cases.
Close with a practical plan.
Deliverables
What the team takes away.
- 01 Opportunity map
- 02 Risk notes
- 03 Use case selection
- 04 Working guide
- 05 90-day route
- 06 Implementation criteria
Applied case
From general interest to a concrete institutional route.
A team converts scattered conversations into a working plan with priorities, owners and next decisions.
3priority areas
90days of action
1working route
Certification turns interest into institutional capability.
04
Laboratory · Agents · Prototypes
Learn by building.
A hands-on laboratory to design agents, dashboards, automations and functional prototypes connected to real organizational problems.
Build system
Prototype Lab
Why it matters now
Building reveals what theory hides.
Laboratories expose missing data, broken processes, real users and decisions that need governance.
01
Invisible processes
02
Fragmented data
03
Manual workflows
04
Unvalidated ideas
Before
Fragmented action.
The organization reacts with isolated initiatives and little shared method.
Now
Institutional route.
Teams align decisions, criteria, risks and next steps.
The shift
From interest to capability.
Learning becomes method when it produces decisions, artifacts and responsible action.
Who it is for
Designed for teams that need to turn AI into capability.
Leadership
Project teams
Innovation
Public sector
Education
Operations
Technology
Community
Strategic clarity
Method
Execution
Governance
Scalable learning
Capability developed
The program converts interest into operational capability.
Participants leave with shared criteria, practical artifacts and a clearer route to act responsibly.
Program map
A strategic route from uncertainty to decision.
Read the current AI context.
Define decision criteria.
Design the working route.
Apply it to real cases.
Close with a practical plan.
Deliverables
What the team takes away.
- 01 Opportunity map
- 02 Risk notes
- 03 Use case selection
- 04 Working guide
- 05 90-day route
- 06 Implementation criteria
Applied case
From general interest to a concrete institutional route.
A team converts scattered conversations into a working plan with priorities, owners and next decisions.
3priority areas
90days of action
1working route
A laboratory converts learning into working evidence.
05
Talent Network · Global MX · Learning Communities
Talent network.
A program to connect talent, institutions and communities of practice around AI learning, international relationships and regional capability.
Talent graph
Network
Why it matters now
Talent is distributed. Capability must be connected.
The challenge is not only finding talent; it is creating trusted networks where knowledge becomes projects and capability.
01
Distributed expertise
02
Weak connection
03
Missed opportunities
04
Need for mentors
Before
Fragmented action.
The organization reacts with isolated initiatives and little shared method.
Now
Institutional route.
Teams align decisions, criteria, risks and next steps.
The shift
From interest to capability.
Learning becomes method when it produces decisions, artifacts and responsible action.
Who it is for
Designed for teams that need to turn AI into capability.
Leadership
Project teams
Innovation
Public sector
Education
Operations
Technology
Community
Strategic clarity
Method
Execution
Governance
Scalable learning
Capability developed
The program converts interest into operational capability.
Participants leave with shared criteria, practical artifacts and a clearer route to act responsibly.
Program map
A strategic route from uncertainty to decision.
Read the current AI context.
Define decision criteria.
Design the working route.
Apply it to real cases.
Close with a practical plan.
Deliverables
What the team takes away.
- 01 Opportunity map
- 02 Risk notes
- 03 Use case selection
- 04 Working guide
- 05 90-day route
- 06 Implementation criteria
Applied case
From general interest to a concrete institutional route.
A team converts scattered conversations into a working plan with priorities, owners and next decisions.
3priority areas
90days of action
1working route
Networks create capability when relationships become projects.
06
Economy · Productivity · Competitiveness
AI for productivity and innovation.
A strategic program to understand how AI changes work, value chains, services, productivity and regional competitiveness.
Productivity view
Impact
Why it matters now
AI is becoming economic infrastructure.
AI is not only software. It reshapes costs, time, services, jobs, data and the ability to compete.
01
Work redesign
02
Productivity pressure
03
New services
04
Regional competition
Before
Fragmented action.
The organization reacts with isolated initiatives and little shared method.
Now
Institutional route.
Teams align decisions, criteria, risks and next steps.
The shift
From interest to capability.
Learning becomes method when it produces decisions, artifacts and responsible action.
Who it is for
Designed for teams that need to turn AI into capability.
Leadership
Project teams
Innovation
Public sector
Education
Operations
Technology
Community
Strategic clarity
Method
Execution
Governance
Scalable learning
Capability developed
The program converts interest into operational capability.
Participants leave with shared criteria, practical artifacts and a clearer route to act responsibly.
Program map
A strategic route from uncertainty to decision.
Read the current AI context.
Define decision criteria.
Design the working route.
Apply it to real cases.
Close with a practical plan.
Deliverables
What the team takes away.
- 01 Opportunity map
- 02 Risk notes
- 03 Use case selection
- 04 Working guide
- 05 90-day route
- 06 Implementation criteria
Applied case
From general interest to a concrete institutional route.
A team converts scattered conversations into a working plan with priorities, owners and next decisions.
3priority areas
90days of action
1working route
Competitiveness improves when AI becomes capability, not noise.
07
International Connection · UK · LSE
International AI connection.
A program for global conversations on AI, public policy, research, digital government and international collaboration.
Global view
AI World
Why it matters now
The AI conversation is global, but its effects are local.
Institutions need to understand international standards, strategies and alliances before they become local requirements.
01
Global standards
02
Policy shifts
03
Research signals
04
Institutional alliances
Before
Fragmented action.
The organization reacts with isolated initiatives and little shared method.
Now
Institutional route.
Teams align decisions, criteria, risks and next steps.
The shift
From interest to capability.
Learning becomes method when it produces decisions, artifacts and responsible action.
Who it is for
Designed for teams that need to turn AI into capability.
Leadership
Project teams
Innovation
Public sector
Education
Operations
Technology
Community
Strategic clarity
Method
Execution
Governance
Scalable learning
Capability developed
The program converts interest into operational capability.
Participants leave with shared criteria, practical artifacts and a clearer route to act responsibly.
Program map
A strategic route from uncertainty to decision.
Read the current AI context.
Define decision criteria.
Design the working route.
Apply it to real cases.
Close with a practical plan.
Deliverables
What the team takes away.
- 01 Opportunity map
- 02 Risk notes
- 03 Use case selection
- 04 Working guide
- 05 90-day route
- 06 Implementation criteria
Applied case
From general interest to a concrete institutional route.
A team converts scattered conversations into a working plan with priorities, owners and next decisions.
3priority areas
90days of action
1working route
Global perspective improves local decisions.
08
Governance · Ethics · Digital Democracy
Responsible AI governance.
A program on ethics, regulation, digital democracy, human oversight, risk and institutional responsibility in AI systems.
Trust system
Governance
Why it matters now
Trust will become institutional infrastructure.
Organizations will need to explain how they use AI, what risks they accept, what data they protect and who is responsible.
01
Regulation pressure
02
Algorithmic risk
03
Data sensitivity
04
Public trust
Before
Fragmented action.
The organization reacts with isolated initiatives and little shared method.
Now
Institutional route.
Teams align decisions, criteria, risks and next steps.
The shift
From interest to capability.
Learning becomes method when it produces decisions, artifacts and responsible action.
Who it is for
Designed for teams that need to turn AI into capability.
Leadership
Project teams
Innovation
Public sector
Education
Operations
Technology
Community
Strategic clarity
Method
Execution
Governance
Scalable learning
Capability developed
The program converts interest into operational capability.
Participants leave with shared criteria, practical artifacts and a clearer route to act responsibly.
Program map
A strategic route from uncertainty to decision.
Read the current AI context.
Define decision criteria.
Design the working route.
Apply it to real cases.
Close with a practical plan.
Deliverables
What the team takes away.
- 01 Opportunity map
- 02 Risk notes
- 03 Use case selection
- 04 Working guide
- 05 90-day route
- 06 Implementation criteria
Applied case
From general interest to a concrete institutional route.
A team converts scattered conversations into a working plan with priorities, owners and next decisions.
3priority areas
90days of action
1working route
Responsible AI requires rules before scale.
09
Community · Forums · Signals
alis community.
Forums, conversations and signals to learn with others, detect trends and build an AI culture through real experience.
Learning signals
Community
Why it matters now
Nobody learns AI in isolation.
Communities accelerate learning because they compare cases, detect risks and share what actually works.
01
Learning isolation
02
Fast-changing tools
03
Need for signals
04
Shared mistakes
Before
Fragmented action.
The organization reacts with isolated initiatives and little shared method.
Now
Institutional route.
Teams align decisions, criteria, risks and next steps.
The shift
From interest to capability.
Learning becomes method when it produces decisions, artifacts and responsible action.
Who it is for
Designed for teams that need to turn AI into capability.
Leadership
Project teams
Innovation
Public sector
Education
Operations
Technology
Community
Strategic clarity
Method
Execution
Governance
Scalable learning
Capability developed
The program converts interest into operational capability.
Participants leave with shared criteria, practical artifacts and a clearer route to act responsibly.
Program map
A strategic route from uncertainty to decision.
Read the current AI context.
Define decision criteria.
Design the working route.
Apply it to real cases.
Close with a practical plan.
Deliverables
What the team takes away.
- 01 Opportunity map
- 02 Risk notes
- 03 Use case selection
- 04 Working guide
- 05 90-day route
- 06 Implementation criteria
Applied case
From general interest to a concrete institutional route.
A team converts scattered conversations into a working plan with priorities, owners and next decisions.
3priority areas
90days of action
1working route
Conversation becomes infrastructure when it improves decisions.
10
MVP · Prototypes · Systems
Products and MVP laboratory.
A route to convert learning into functional evidence: prototypes, agents, dashboards and systems ready to test.
Validation system
MVP
Why it matters now
AI needs evidence, not only ideas.
MVPs allow organizations to test value, adoption, experience and operational risk before investing in full systems.
01
Unvalidated concepts
02
No user testing
03
Hidden complexity
04
Scaling too early
Before
Fragmented action.
The organization reacts with isolated initiatives and little shared method.
Now
Institutional route.
Teams align decisions, criteria, risks and next steps.
The shift
From interest to capability.
Learning becomes method when it produces decisions, artifacts and responsible action.
Who it is for
Designed for teams that need to turn AI into capability.
Leadership
Project teams
Innovation
Public sector
Education
Operations
Technology
Community
Strategic clarity
Method
Execution
Governance
Scalable learning
Capability developed
The program converts interest into operational capability.
Participants leave with shared criteria, practical artifacts and a clearer route to act responsibly.
Program map
A strategic route from uncertainty to decision.
Read the current AI context.
Define decision criteria.
Design the working route.
Apply it to real cases.
Close with a practical plan.
Deliverables
What the team takes away.
- 01 Opportunity map
- 02 Risk notes
- 03 Use case selection
- 04 Working guide
- 05 90-day route
- 06 Implementation criteria
Applied case
From general interest to a concrete institutional route.
A team converts scattered conversations into a working plan with priorities, owners and next decisions.
3priority areas
90days of action
1working route
Build small, learn fast, scale with evidence.
Diagnosis
Which AI capability should your organization develop first?
alis can help identify the right entry point: leadership, training, governance, laboratory, community or prototyping.