A Single Layer for
AI Vendor Evaluation
Across Enterprise
One governed platform where enterprise teams evaluate AI vendors against real operational conditions, data constraints and compliance requirements. From discovery to evidence-based decision, in weeks, not months.
Secure. Repeatable. Compliant.
"AI implementation remains throttled by brittle and fragmented data foundations, mounting compliance demands, outdated legacy systems."
Deloitte 2026 Banking & Capital Markets
CIO / CDO
Technology Leaders
One evaluation layer across the group. Fewer systems, faster decisions, full governance from day 1.
CISO / CRO
Security, Risk and Compliance Teams
Air-gapped environments. Full audit trail. Governance embedded into evaluation, not applied after.
ENGINEERING / PRODUCT & BUSINESS
Engineers and Business Teams
Run hands-on evaluations with production-like data. Validate outcomes early. Move from idea to decision without waiting on full vendor intake.
Thank you for your hard work, enthusiasm and commitment, and I’m excited to see where these innovations will lead us.
Shout out also to our partners Amazon Web Services (AWS) and NayaOne.
THE PROBLEM
The Decision Latency That's Killing Enterprise AI Adoption
Three compounding delays between identifying an AI need and having the envidence to act on it. Each one is measurable. Each one is solvable.
01
Access Latency
Time from vendor discovery to first hands-on access.
Typically 6 - 9 months.
Intake bottleneck.
COMPOUNDING EFFECTS
- Engineers route around the process
- Shadow AI fills the gap
- Talent attrition begins
THE REALITY
30 seconds vs 7 months
30 seconds to sign up for a personal AI tool vs 7 months to access one through the enterprise
02
Evaluation Latency
Time spent in structured evaluation before a commitment decision can be made.
COMPOUNDING EFFECTS
- Parallel teams start to duplicate evaluations
- Institutional learning is lost
- Cost compounds with every evaluation
THE REALITY
$150k - $250k
full cost of a single vendor evaluation
03
Governance Latency
Time from successful evaluation to third-party risk management and contract negotiations kills velocity.
COMPOUNDING EFFECTS
- Evaluation-to-production gap widens
- Governance happens after validation
- Risk accumulates during delay
THE REALITY
68%
of AI evaluations at contract stage fail for reasons that could have been identified within the first two weeks of the evaluation
THE CONSTRAINT
Why Change is Needed Now
AI demand is outrunning the existing set up, escalating costs and discouraging innovation and experimentation. Without a standardised evaluation layer, every AI acceleration initiative increases pressure on an already constrained system.
The Drivers
- Demand for enterprise AI technology is increasing
- The AI vendor ecosystem is expanding exponentially
- Evaluation cost is incurred before value is proven
- Rationalisation is a board-level mandate
The Bottleneck
Financial Institutions want to move faster with AI, while central teams are becoming bottlenecks due to the absence of a controlled front door for evaluation.
The Impact of Inaction
- Reduced business agility
- Harder to select the right partner and increased duplication across the enterprise
- Evaluation time and cost increase
- AI scaling without intake control undermines rationalisation
THE SOLUTION
A Single and Secure AI Evaluation Layer
AI demand is accelerating.
Vendor intake still takes months before evaluation can begin.
- Remove 6 – 9 month intake bottleneck
- Evaluate vendors in real workflows, not controlled demos
- Capture evidence while you evaluate, not after
- Apply governance during evaluation, not at the end
What the Platform Enables
A standardised, governed evaluation layer that sits before vendor onboarding and contract lock-in, enabling faster architecture review for rationalisation.
What It Enables
- Pre-approved environments to evaluate vendors immediately
- Side-by-side comparison across vendors and use cases
- Governance embedded into evaluation, not applied after
- Reusable evidence, controls, and artefacts
- Centralised learning across teams and programmes
- Broader value across the enterprise
What Changes
- Vendors are tested before onboarding commitment
- Duplication is prevented, not discovered too late
- Evaluation learnings persist across the organisation
- Failed evaluations stop before they become cost
- Governance effort reduced by 20 - 30%
- Value compounds across teams, not isolated within individual evaluations
