AI Innovation Lab
Our engine for de-risking the future. We invest in next-generation AI to solve tomorrow’s most complex challenges, today.
Core Purpose
The AI Innovation Lab is fundamental to Decision Lab’s success. Its mission is to explore what’s next in AI, simulation, and optimisation, and translate those possibilities into tangible value for our clients and our business.
Our pipeline of next-generation capabilities provides our teams with a unique advantage, allowing them to deliver more advanced, efficient, and impactful solutions.
Our Tech Stack
From Research to Reality
Our practice focuses on a portfolio of internal projects designed to build future capability. We explore, build, and validate, turning bespoke innovations into a robust, reusable toolkit.
Autonomy & Reinforcement Learning
Combining Autonomy (RL) with Language Models for enhanced autonomous decision-making, even on the edge.
Agentic AI
Developing robust and adaptable autonomous behaviours. We build intelligent agents that make reasoned choices and act independently to achieve goals in complex environments.
Ethical & Explainable AI
Focusing on Causal Machine Learning and inherently Explainable AI to align with our robust AI TRiSM strategy.
Generative AI
Powering innovative and creative autonomous solutions. We leverage generative models to create novel training scenarios and strategies, accelerating the development of our agentic systems
Our Disciplined Innovation Pipeline
We innovate with purpose. Our process is a commercially-focused pipeline designed to nurture ideas into high-value, reusable assets.
1. Ideation & Backlog
Ideas are sourced from across business and captured in a living backlog of research themes.
2. Strategic Prioritisation
Our Steering Committee assesses potential ROI, strategic alignment, and feasibility.
3. Agile Prototyping
Using a “fail fast” approach, we rapidly develop a Proof-of-Concept or Minimum Viable Product.
4. Showcase & Transfer
Successful prototypes are demonstrated and transferred as reusable “accelerators”.
Our Commitment
Responsible AI by Design
Our commitment to ethical AI is non-negotiable. We operationalise this through AI TRiSM (AI Trust, Risk, and Security Management), a robust governance framework that is a core pillar of our methodology and a key differentiator.
- Explainability – Ensuring we can interpret and explain how models arrive at decisions, building crucial trust.
- ModelOps – Rigorously managing models from deployment to retirement, with continuous monitoring for performance.
- Security & Privacy – Implementing stringent security to protect models and data from threats, ensuring compliance and confidence.
Learn about AI TRiSM in our blog series.
