AI research & advisory for enterprise
AI strategy
DATA MATURITY
IP due dilligence
GOVERNANCE
Board-level AI strategy that combines rigorous research with commercial clarity, helping your organisation invest, govern, and scale AI with confidence.
At PassionLabs, AI advisory means having a senior research partner in your corner, not a slide deck from a generalist firm. We are independent of all vendors, grounded in frontier research, and focused entirely on business impact.
Whether you need a board-ready AI strategy, governance frameworks aligned to the EU AI Act, or a clear view on which vendors to trust, our advisory team gives you the clarity to act with confidence.
Whether you need a board-ready AI strategy, governance frameworks aligned to the EU AI Act, or a clear view on which vendors to trust, our advisory team gives you the clarity to act with confidence.
advisory services
let’s talk
01
AI strategy and opportunity mapping. Identify where AI creates value. Prioritised roadmaps grounded in operational reality.
02
Governance, risk and compliance.
Practical frameworks that protect the business without slowing innovation.
Practical frameworks that protect the business without slowing innovation.
03
IP due diligence and ROI analysis.
Independent guidance on AI intellectual property and impact assessments.
Enhancing human potential with machine learning.
WHY WORK WITH US
Our aim is to give enterprise leaders genuine AI clarity, not just internally but also by unlocking new commercial opportunities through independent advisory.
Independent, Always
No vendor relationships, no reseller agreements. Our advice is shaped entirely by what is right for your organisation.
Tailored to Your Context
Every advisory engagement is built around your sector, team maturity, and strategic priorities, not a generic framework.
Research-Grade Rigour
40+ PhD-level researchers inform every engagement. We read the papers, run the evals, and form our own positions.
Commercial Impact Focus
Every recommendation is grounded in business value. We define ROI frameworks before deployment, not after.
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We work with organisations whose problems don't fit a template
