Spotlight
Assess AI initiatives and make faster, safer adoption decisions.
Challenge
What slows teams down
Without a shared assessment framework, AI ideas multiply and teams lose control over what should be adopted and why.
Untracked initiatives
AI initiatives spread across teams with no shared view of what exists
Vendor blind spots
Vendor choices are made without structured comparison across options
No common criteria
Each team assesses value, risk, and readiness using its own standards
Undocumented decisions
Adoption decisions lack a clear record of what was approved and why
Approach
A smarter way forward
Score every initiative on value, risk, feasibility, and vendor fit with one repeatable framework.
1
Capture the right context
Map initiatives with the business, operational, and risk information needed to assess them well
2
Assess with shared criteria
Review value, risk, feasibility, and vendor fit with one consistent framework
3
Make defensible decisions
Keep a clear record of what moves forward, under which conditions, and why
Features
Everything you need
Map use cases, score vendors, and build a clear record of every adoption decision so leaders can move forward with confidence.
Use case mapping
Catalog AI initiatives in one place with consistent decision context
Shared assessment model
Assess use cases across value, risk, feasibility, and organizational fit
Vendor evaluation
Compare AI vendors with consistent criteria across capability, risk, and fit
Integrated risk analysis
Identify risks, blockers, and dependencies from day one.
Overlap detection
Spot overlapping initiatives and reduce duplication across teams
Decision records
Prepare decision-ready summaries and keep a record of why choices were made
Use cases
Built for enterprise reality
Teams use Spotlight to qualify a growing AI pipeline, shortlist vendors for critical projects, and arm leadership with go/no-go context.
Assess a growing AI pipeline
Review initiatives with shared criteria and decide which ones are ready, risky, or premature.
Compare vendors for a critical use case
Evaluate providers against business needs, delivery constraints, and risk exposure.
Support an executive decision
Give business, IT, risk, and compliance a common view before adoption moves forward.
What sets us apart
Why teams choose Spotlight
Move from fragmented experimentation to clearer, safer, and more controlled AI adoption.
Clarity before adoption
Assess potential value alongside feasibility and risk before moving forward.
Shared decisions
Use one framework to make faster, more defensible adoption decisions.
Earlier control
See dependencies, vendor exposure, and blockers before they create rework.
European approach
Designed around European governance standards, with EU-hosted infrastructure and data sovereignty built in.
Next step
Need a clearer view of AI adoption?
Book a walkthrough to see how teams evaluate, compare, and greenlight AI initiatives with full governance context.