2,900+ case studies on how companies use AI, and what’s giving results. Get a free overview for your industry and role
Real-world implementations from
Ideas from your team, no outside signal → Best guess prioritization
Demos that impress, outcomes that don't
Ideas from your team, no outside signal
Best guess prioritization
Demos that impress, outcomes that don't
Your shortlisted ideas, validated against 2,900+ real implementations → Prioritise by what's already paying off
Measurable ROI and competitive edge
Your shortlisted ideas, validated against 2,900+ real implementations
Prioritise by what's already paying off
Measurable ROI and competitive edge
Use case intelligence lets you see the winners,
so you can be in the 5%
2,900+ case studies on how companies use AI, and what’s giving results. Get a free overview for your industry and role
Real-world implementations from
Ideas from your team, no outside signal → Best guess prioritization
Demos that impress, outcomes that don't
Ideas from your team, no outside signal
Best guess prioritization
Demos that impress, outcomes that don't
Your shortlisted ideas, validated against 2,900+ real implementations → Prioritise by what's already paying off
Measurable ROI and competitive edge
Your shortlisted ideas, validated against 2,900+ real implementations
Prioritise by what's already paying off
Measurable ROI and competitive edge
Use case intelligence lets you see the winners,
so you can be in the 5%
A month per project, 40 brand voices to keep consistent. Agents now mirror each workflow step, with human review built in at every stage.
Millions of questions across 2,000+ brands. Building a separate AI for each wasn't viable. One agent now handles all—and hands off cleanly.
Buyers discovered missing approval steps midway and restarted from scratch. A single intake door with real-time AI correction ended that.
SThree people, three different AI answers. Grounded data sources fixed that — finance now has years of vendor spend at its fingertips.
Staff filed data requests through chat and waited days for analyst replies. Now they ask the data lake directly—no SQL, no queue.
Thousands of tables tracking the same metrics differently. No one knew which to trust — not humans, not AI. One governed layer changed that.
A month per project, 40 brand voices to keep consistent. Agents now mirror each workflow step, with human review built in at every stage.
Millions of questions across 2,000+ brands. Building a separate AI for each wasn't viable. One agent now handles all—and hands off cleanly.
Buyers discovered missing approval steps midway and restarted from scratch. A single intake door with real-time AI correction ended that.
SThree people, three different AI answers. Grounded data sources fixed that — finance now has years of vendor spend at its fingertips.
Staff filed data requests through chat and waited days for analyst replies. Now they ask the data lake directly—no SQL, no queue.
Thousands of tables tracking the same metrics differently. No one knew which to trust — not humans, not AI. One governed layer changed that.