Enabling Responsible AI Adoption in Asset Finance
About this project:
Discover how a leading asset finance software provider embedded AI governance to enable responsible innovation, reduce risk, and accelerate product readiness.
"The real impact came from making governance practical - giving teams the confidence to innovate responsibly rather than slowing them down."
Nicholas Deveney
Group Head of Data & Consulting
Executive Summary
Data Migration
Objective: Establish AI governance to enable responsible adoption, reduce risk, and support AI-driven product innovation in a regulated environment.
Solution: Designed AI policy, governance framework, and operating model while enabling teams through workshops, reusable assets, and hands-on collaboration.
Results: Enabled scalable, responsible AI adoption, reduced compliance risk, and improved product readiness through clear governance and aligned decision-making.
Challenge
Solution
Outcome
Operating in a highly competitive and regulated market, the organisation faced increasing pressure to adopt AI in ways that delivered measurable business value while meeting growing expectations around risk, compliance, and accountability.
There was strong demand to embed AI into flagship products and improve internal productivity, but no formal governance structure existed to guide these efforts. This created uncertainty across leadership, delivery teams, and customer-facing stakeholders.
Without clear direction, the business risked misallocating resources, increasing exposure to regulatory penalties, and losing competitive advantage as progress slowed.
Both technical and non-technical teams lacked the practical frameworks needed to move from experimentation to responsible implementation. At the same time, leadership required assurance that AI-related decisions aligned with regulatory obligations, business priorities, and emerging best practices.
The core challenge was to introduce governance where none existed - without stifling innovation - by building a scalable, credible foundation for responsible AI adoption.
Asset Finance & Leasing Software need to innovate, safely
Eden Smith engaged Jovita Tam acted as a Fractional AI Governance Lead, combining strategic governance design with hands-on enablement across leadership, product, and delivery teams.
The engagement focused on establishing the organisation’s first AI policy, governance framework, and operating model - creating clear guardrails for responsible AI adoption. Governance decisions were carefully aligned with business priorities, regulatory expectations, and the pace of product innovation.
Working closely with AI engineers and product managers, Jovita translated governance into practice through interactive sessions and practical guidance. This enabled teams to move confidently from experimentation to structured, responsible execution.
To build long-term capability, reusable assets and frameworks were developed, alongside workshops designed to improve understanding of AI governance across both technical and non-technical audiences.
Executive advisory support and input into external communications ensured that the organisation’s market messaging remained credible, consistent, and aligned with its governance approach.
Balancing innovation with governance to unlock safe, scalable AI adoption.
Key outcomes included:
- Established a scalable AI governance foundation, including policy, framework, and operating model
- Reduced regulatory and business risk through clear guardrails and decision-making processes
- Improved AI product readiness, enabling responsible design and delivery of AI-enabled solutions
- Aligned stakeholders across business and technical teams, accelerating confident decision-making
- Enhanced market credibility through consistent, governance-aligned external messaging
