Odyssey AI
The journey to hyper-personalisation. Odyssey primes large language models with structured context to create emotionally intelligent financial experiences.
The AI Market Mistake
The industry has poured $1.4 trillion into AI infrastructure—training clusters, GPU farms, foundation models—against roughly $150 billion in actual revenue. That's a 10:1 infrastructure-to-revenue ratio.
The value of AI doesn't live in the models themselves, but in how effectively those models are directed toward specific, revenue-generating outcomes.
Capital in the wrong layer
The Application Layer Opportunity
Without a structured model of customer success—without a map of where customers are, where they're heading, and what would help them progress—AI generates noise rather than signal.
Odyssey provides purpose-built guardrails that give AI the context it needs to generate relevant, actionable content for financial wellness.
Defined state space for reasoning
The Odyssey AI Framework
Three interconnected systems that transform how AI operates in financial services
Hyper-Personalisation
Move beyond demographic segments to individual journeys. The player map provides 16,807+ unique coordinates that make relevance computable.
- Psychological archetyping
- Multi-dimensional positioning
- Continuous learning per customer
- From cohorts to individuals
Player Journey Fine-Tuning
Every interaction refines the algorithm. The system learns what motivates each individual, which nudges drive action, and what rewards resonate.
- 7 financial leagues with missions
- Life stage & goal tracking
- Real-time position updates
- Personalised game mechanics
Purpose-Built AI Guardrails
Constrain and direct LLM output with structured context. Compliance-embedded, emotionally intelligent responses oriented toward financial wellness.
- Defined state space for reasoning
- Constrained action space via nudges
- Clear reward signals
- Compliance guardrails embedded
The Hyper-Personalisation Feedback Loop
Click on any node to explore how Odyssey continuously learns and adapts to each customer
Gathering
Profiling
Position
Nudges
Response
Tracking
Fitness
Refinement
Priming LLMs for Financial Wellness
Odyssey creates the initial algorithm sets that prime large language models with structured context
From Generic to Directed AI
Rather than letting LLMs generate generic responses, Odyssey provides structured context that constrains and directs output. The player's current position, recent trajectory, psychological profile, and available actions all feed into the prompt.
The result: AI that knows not just transaction history but where the customer sits on their journey—and what the next step should be.
Lower Cost
Fewer tokens per query with clear direction
Faster Response
Framework does context establishment
Better Direction
Output aligns with business objectives
Compliance Built-In
Guardrails embedded in every interaction
Training Infrastructure
GPU clusters, foundation models — Bubble Territory (10:1 ratio)
Inference Infrastructure
Running trained models in production — The Workhorse
Application Layer — Odyssey
Where real ROI lives — Specific workflows solving real problems
Customer Financial Wellness
Measurable outcomes, genuine engagement, lasting relationships
Purpose-Built for Financial Services
DeepMind's breakthroughs succeeded by deeply understanding the game's structure. Odyssey provides the equivalent game structure for financial wellness.
Defined State Space
The player map's 16,000+ coordinates transform the ambiguous problem of "help this customer" into a computable state that AI can reason about.
Clear Reward Functions
Mission completions, level progressions, and financial wellness improvements serve as quantifiable rewards that train AI to optimise for genuine progress.
Mapped Action Spaces
The nudge library defines possible actions the AI can take. The player map constrains which nudges are appropriate, ensuring contextual relevance.
Temporal Reasoning
The journey architecture enables the AI to understand that current actions affect future states—nudging toward an emergency fund today creates conditions for investment conversations tomorrow.
From Cohorts to Individuals
Odyssey begins with cohort-based algorithms and evolves toward genuine hyper-personalisation
Initial Algorithms
Cohort-based rules across player leagues
Data Enrichment
Psychological archetyping + Open Banking
Pattern Learning
Deep learning refines understanding
Individual AI
Algorithms refined for each customer
Harness AI for Customer Success
Place your data onto the Odyssey player map to take your customers on their money journey, with AI that understands both the numbers and the emotions.