Products & experiences
- AI Litmus platform
- AI Litmus: what one person's journey looks like
- AI Litmus for leaders: where your team stands on AI
- AI adoption, mapped across effectiveness
- Effectiveness: are your people actually good with AI
- Process mining: how the work actually gets done
- Automation: what should come off your team
- ROI: hours back, priced with your own numbers
- Behavioral Intelligence
Solutions, resources & company
All articles
- Your AI maturity model measures the company. It should measure the people.
- Everyone finished the AI training. Monday looked exactly the same.
- What an AI transformation lead actually owns
- Map how the work actually happens (before you automate any of it)
- How to find the automation that's actually worth doing
- Your team uses AI. But are they using it well?
- How to measure AI adoption in your team (without counting licences)
- Workslop, shadow AI, vibe coding: every AI buzzword is a people problem
- Why most corporate AI pilots show no measurable return
- Shadow AI: why your employees have stopped telling you about their AI usage
- AI training needs analysis in India: what to measure before you train
- AI Doesn't Fail Loudly. It Fails Confidently. That's the Expensive Part.
- Burnout risk assessment for Indian teams: what to measure before people quit
- The jagged frontier: why your most confident AI users fail silently
- Why you can't prove ROI on AI training (and the number your CFO wants)
- Your team's AI problem isn't a skills gap. It's a visibility gap.
- How AI-fluent is your team, really? A role-by-role guide
- What is your team's disengagement actually costing you?
- Why generic AI readiness tests fail (and what to do instead)
- The hidden AI adoption gap: tools you pay for that nobody uses
- Behavioral Intelligence vs engagement surveys: what's the difference?
- How to build an ROI case for AI upskilling your teams