Prioritized portfolio
Use cases compared by value, feasibility, risk, data readiness and adoption capacity.
01 · Making AI useful
AI strategy consulting that turns ambition into operating value.
We help companies in the United States, Brazil and Spanish-speaking Latin America prioritize use cases, design roadmaps, establish governance and build the operating model required to implement artificial intelligence responsibly.
Discuss a project↗Direct answer
An AI transformation consultancy should answer four questions before recommending technology: where business value exists, which capabilities and data are required, how risk will be controlled, and who will operate the change. MAKINAI connects those answers in an executable plan with priorities, owners, metrics and scale decisions.
Many organizations accumulate proofs of concept, licenses and disconnected initiatives. The constraint is rarely a shortage of ideas. It is the absence of a value thesis, shared prioritization criteria and clear ownership across business, technology, data, security and people.
What changes
Value that shows up in operations.
Executable roadmap
A sequence of decisions, pilots, platforms, controls and capabilities with named owners.
Operating model
Governance, roles, evaluation routines and metrics that move AI from experiment to scale.
How we help
From decision to a working system.
AI maturity assessment
A practical review of strategy, processes, data, technology, talent, governance and the current portfolio.
Use-case discovery and prioritization
Interviews, workshops and scorecards to select opportunities tied to revenue, efficiency or experience.
AI strategy and roadmap
Value thesis, principles, implementation waves, dependencies and build, buy or partner decisions.
Responsible AI governance
Risk tiers, privacy, security, human review, evaluation and accountability mechanisms.
Operating model and adoption
Roles, forums, funding, enablement, change management and continuous improvement.
Decision-led pilots
Proofs of value with a baseline, hypothesis, evaluation and explicit stop, repair or scale criteria.
Where it applies
Problems this work is built to solve.
- Identify where AI can create measurable value in marketing, sales, service or operations.
- Turn scattered initiatives into one comparable, governed portfolio.
- Establish enterprise rules for generative AI, copilots and agents.
- Choose implementation partners, platforms and delivery models with lower risk.
How we make
A short path to real evidence.
Understand
Align priorities, constraints, baseline, risk and the decisions leadership must make.
Prioritize
Compare opportunities with a common framework and define the evidence each one requires.
Design
Build the roadmap, architecture, governance, operating model and business case.
Activate
Start the first delivery cycle and transfer the method and capability into the organization.
Frequently asked questions
Before we begin.
What does an AI strategy consulting engagement deliver?+
Typical outputs include a maturity assessment, opportunity map, prioritization scorecard, business cases, roadmap, reference architecture, governance model and pilot design. The work should enable decisions and delivery, not simply summarize trends.
How long does it take to create an enterprise AI strategy?+
A useful first roadmap can usually be built in four to eight weeks, depending on the number of business units, data availability and alignment required. Pilots and implementation then move through their own evidence-led cycles.
Does a company need an AI team before it begins?+
No. The strategy should determine which capabilities must be internal, which can be sourced and how business, technology, data, legal, security and people functions will work together.
How does MAKINAI keep the strategy from becoming a slide deck?+
Every priority is connected to an owner, baseline, metric, dependencies, risk, build-or-buy decision and next proof. When useful, the engagement includes activation of the first use case to test the operating system itself.
What we make
Capabilities designed to connect.
MAKINAI · Making AI useful