AI that delivers a financial return is the only AI that works
Nearly 9 in 10 companies use AI, but only 6% see a significant impact on results.*
Outside that group, only 1 in 4 has fundamentally redesigned its processes to capture that value.*
What we offer
AIRES is the independent strategic partner that helps companies evolve from excitement about AI to adoption, and from adoption to real financial return.
- 01
Enthusiasm
Leadership sees AI's potential and wants to act.
- 02
Adoption
Pilots, tests, and delivery of the first tools.
- 03
Return
Usage turns into measurable financial results.
Our mission
Our mission is to prevent the results fatigue that comes from adopting AI without a clear strategy.
- 01
Pilots that don't scale
Tests that never reach production.
- 02
Tools without a use case
Technology is bought before anyone has decided what problem it solves.
- 03
Unmeasured return
No one knows what the investment has delivered.
Our diagnosis
Because chasing automation, efficiency, and time savings isn't a strategy — it's a wish list.
- 01
Automation
A means, not a business goal.
- 02
Efficiency
It doesn't indicate which process to change or why.
- 03
Time savings
Freeing up time doesn't necessarily mean creating value.
Our strategy
A successful AI strategy does more than automate existing processes. It transforms processes and people, solves problems at their root — once and for all — and opens up new possibilities.
- 01
Transform
Processes and people.
- 02
Solve
Problems at their root, once and for all.
- 03
Open up
New possibilities.
How we work
That's why we work with our clients' leadership teams to assess how ready they really are for AI, design their strategy, prioritize the use cases that actually move the business forward, and support implementation until it delivers results.
- 01
Assess
How ready they really are for AI.
- 02
Design
Their AI strategy.
- 03
Prioritize
The use cases that actually move the business forward.
- 04
Support
Implementation, until it delivers results.
Business-focused AI, with a senior leadership team and independent judgment
AIRES – AI Research & Engineering Studio is an independent lab for artificial intelligence research, strategy, and implementation. Its senior leadership team comes from corporate executive management and business consulting. Because it's vendor-independent, every recommendation answers only to the client's business needs.
Learn more
Our headquarters AIRES Lab
The implementation labThe lab where we assess your company's AI maturity, tailor AI to your business, and scale it while managing the change.
See solutionsDALIA by AIRES
The methodologyStrategy before technology. Our own proven framework to assess, prioritize, and govern AI adoption in your company.
See the methodologyAIRES Observatory
The research observatoryIndependent research and analysis on AI adoption, maturity, talent, regulation, and impact.
See the ObservatoryDALIA by AIRES structures decision-making in five phases
According to the estimates cited by RAND, more than 80% of AI projects fail. This process exists so that yours isn't one of them.
Diagnosis
Opportunity and maturity.
We map the company's AI opportunities and check them against its real maturity in data, technology, processes, and people. The result is a verifiable starting point to base decisions on.
Analysis
Financial viability and ROI.
We evaluate each opportunity in financial terms: implementation cost, expected impact, payback period, and associated risks. Initiatives move forward only when their return can be estimated and measured.
Leadership
Organizational readiness and executive sponsorship.
We define who owns each initiative, with what resources and under which sponsor on the leadership team. We identify the capabilities and the organizational changes adoption requires.
Strategic implementation
Prioritization and launch.
We rank initiatives by impact and feasibility and launch them in sequence, with defined scope, milestones, and owners. Every launch builds in results measurement from day one.
Adoption
Governance, measurement, and scaling.
We set up the AI governance model, the tracking metrics, and the criteria to scale, maintain, or stop each initiative. The company keeps the know-how and the ability to run what's been built.