A prioritised opportunity portfolio
A structured view of the AI and data use cases worth pursuing, revisiting or stopping.
Fit 4 AI / Independent diagnostic
Is AI worth it?
An independent, vendor-neutral diagnostic to test where AI adds value before committing to technology or implementation.
01 / Assessment path
From an opportunity landscape to clear recommendations.
Fit 4 AI creates a common evidence base across business, operational and technical perspectives. It does not assume that every candidate should be implemented.
- 01
Frame the landscape
Clarify the challenges, needs and candidate use cases.
Connect each opportunity to the work, outcome, constraint or risk that matters to the organisation.
- 02
Build the evidence
Examine what would make each opportunity worthwhile.
- Business value
- Technical feasibility
- Data readiness
- Risks and governance
- Alternatives and dependencies
- 03
Recommend and plan
Prioritise the portfolio and define the route forward.
InvestDeferRejectThe recommendations lead into a detailed, costed roadmap for the opportunities that merit action.
02 / Management outputs
Enough clarity to decide what happens next.
The outcome is a management view of the opportunity portfolio, supported by the operating and technical detail needed to act with control.
Evidence leaders can challenge
Documented value logic, feasibility, assumptions, risks, constraints and alternatives.
A readiness view
The operating, data, architecture and governance foundations each priority depends on.
A detailed, costed roadmap
Recommended next steps, sequencing, ownership, dependencies and implementation considerations.
03 / Why Agila
Independent and vendor-neutral, grounded in the system around AI.
Operating realityData and architectureGoverned execution
Agila connects management priorities with processes, data, technology, architecture and governance. Recommendations are not shaped around selling a platform or implementation package.
04 / Scope and programme
Diagnose first. Make implementation a separate decision.
Fit 4 AI diagnostic
Evidence, recommendations and roadmap.
The assessment clarifies where AI may add value, what is feasible and what foundations or controls are required.
Implementation
A separate choice after the evidence is clear.
The organisation remains free to invest, defer or reject. Any later implementation is a separate scope and commitment.
Public programme
Public support may be available to eligible Luxembourg organisations. Eligibility and support decisions sit with the relevant programme authorities.
Check the current official programme informationAgila status
Agila is pre-accredited by Luxinnovation for Fit 4 AI. Full accreditation follows the first successful assignment and applicable review.
Start with the opportunity landscape
Where could AI make a material difference?
Bring the challenges, needs and ideas already on the table, even if they are still incomplete. Agila can help turn them into a structured assessment conversation.
Explore your AI opportunity landscape