Our own methodology

DALIA by AIRES

The strategic judgment that comes before the technology.

The AIRES methodology for adopting artificial intelligence in business. It brings together strategy, data, governance, and execution so the value you create exceeds the investment you make.

Most corporate AI projects don't deliver the expected return. Not for lack of technology — for lack of method. DALIA exists to change that.

What is DALIA?

DALIA by AIRES is our own proven strategic framework and methodology for assessing, prioritizing, and governing AI adoption in business.

AIRES developed DALIA to guide companies through adopting artificial intelligence in a structured, measurable way, with a demonstrable financial impact.

Unlike technology-led approaches that start with the tool, DALIA starts with context, diagnosis, and strategy — so every euro you invest in AI has an identified return before implementation begins.

The five phases

DALIA by AIRES structures decision-making in five phases. Each one answers a different question, and none is skipped:

D
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.

A
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.

L
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.

I
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.

A
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.

DALIA shows where AI should act, which initiatives deserve investment, what the strategic direction should be, and how to govern AI's evolution — from the first opportunity to full integration and scale.

DALIA isn't software or a platform. It's the strategic judgment that comes before the technology. AIRES delivers technical design, technology implementation, and training separately, under its own brand.

The services that deliver DALIA

We deliver DALIA through three services, so your company adopts AI sustainably and with a measurable return:

01
Understand the landscape before you act

An AI strategy built without understanding the economic, technological, and human ecosystem starts out biased. DALIA always starts from the real context — not from market hype.

AIRES Observatory →
02
Assess your company rigorously

The AI audit is DALIA's diagnostic tool: it evaluates processes, data, technology, and people to identify the opportunities with the highest ROI.

AI audit →
03
Implement AI with measurable financial impact

AI stops being an experiment and becomes a business lever. We manage risk from the start, and your company builds and keeps its AI know-how in-house.

AI project management →

Why it works

Business first, technology second

DALIA never picks the technology before understanding the problem. That avoids the most common mistake: buying a solution before knowing exactly what you need to solve.

ROI identified before implementation

Every AI initiative has a defined return model before it starts. We estimate the financial impact during the diagnosis, not at the end of the project.

Risk managed at every step

DALIA builds risk assessment — technical, regulatory, and organizational — into every phase, with EU AI Act and GDPR compliance by design.

Built-in knowledge transfer

The goal isn't to create dependency. By the end of every DALIA project, your internal team is trained and equipped to maintain and evolve the solution on its own.

DALIA in AI projects

From an initial audit to end-to-end project management, every AIRES service follows the DALIA methodology.