AI Consultancy
for Financial Institutions
"Where AI is critical, where it is useful, and where it creates more noise than benefit."
WHAT THIS IS
A focused 3-week engagement for financial institutions that want to apply AI but need clarity on where it will actually create value and where it will not.
WHO IT'S FOR
- Asset managers and investment firms
- Fintech platforms and digital banks
- Financial data and analytics companies
- Any organisation with data, systems, and AI ambition
WHY IT MATTERS
Most AI projects fail not because of the model, but because of where AI is placed in the system. Organisations invest in the wrong use cases, build what does not need to be built, and miss where AI would genuinely change outcomes.
This engagement avoids both: wasted investment and missed opportunity.
WHAT WE DO
A surgical approach to AI readiness and roadmap definition.
Week 1: Understand
Structured intake, technical documentation review, and stakeholder interviews with both technical and business decision-makers.
Week 2: Analyse
Internal assessment of systems, data, and workflows. We evaluate AI fit, model type, architecture options, and infrastructure readiness.
Week 3: Deliver
We produce the report and present findings in a remote session with your leadership team.
WHAT YOU GET
A structured report containing eight tangible assets delivered to your team at the end of the engagement.
1. Current State Summary
Where you are with AI today: what exists, what is working, and what is not.
2. AI Opportunity Map
Every opportunity assessed: critical, useful, or more noise than benefit.
3. Tech Recommendations
The right type of AI/ML per opportunity: deep learning, RL, LLMs, or simpler approaches.
4. Architecture Overview
Cloud vs self-hosted, open vs closed source, vendor-agnostic options, including local LLM deployment, MLOps and cost.
5. Prioritised Recommendations
Top 2 to 3 opportunities with clear reasoning for why these first.
6. Phased Execution Plan
Staged approach with starter, intermediate, and advanced phases built on scalable foundations.
7. What Not to Pursue
Explicit dead ends and poor fits with clear reasoning.
8. Indicative Next Steps
A clear proposed path forward.
WHY PREDICTIVA
We build AI systems that make real decisions with real money in production. Our recommendations come from direct experience of what breaks, what scales, and what does not.
Works in Production
Production AI systems in live financial markets.
Cloud-Agnostic
Across all major providers, including local LLM deployment.
Proven Implementations
Active implementations across GCC financial institutions.
DURATION FORMAT
3 Weeks
Remote
Ready to define your
AI Blueprint?
To explore whether this engagement is right for your organisation, contact us to discuss your specific requirements.
