- +1 (647)-448-6565
- rtulsiani@outlook.com
Independent decision tools for AI-enabled work and workforce capability. Decide what work should change, what humans must remain responsible for, what capability needs to be built or preserved, and what evidence should determine whether to scale, redesign, or stop.
Before funding training, technology, or another intervention, use a focused decision tool to identify what is actually preventing performance and what should happen next.
Before another AI training rollout, test whether the real issue is capability, workflow, role clarity, manager enablement, governance, technology, or something else.
Before you automate a task, decide who should actually do it.
Bring one specific task. Answer eight questions. Get a first-pass recommendation across humans, AI, agents, automation and machines, with the human responsibilities and practical next step.
Free. No signup. Download your result, then tell us whether the recommendation makes sense.
Every tool on this site answers one of four decisions.
1. Work Allocation. What work should disappear, remain human, be AI-assisted, be delegated to agents, be automated, or be performed by machines?
2. Human Accountability. What must a human continue to understand, verify, decide, govern, and own, even where AI does the work?
3. Capability Assurance. What knowledge and judgment must stay dependable after work changes, and what has to be built or protected?
4. Evidence. What will prove the change improved the business outcome, and when is the right call to scale, redesign, constrain, pause, or stop?
Every diagnostic on this site feeds one of these four decisions.
About Me
I’m Dr. Ravinder Tulsiani. I build independent decision tools for AI-enabled work and workforce capability, so leaders can decide what work should change, what humans must remain responsible for, and what evidence earns the next investment.
The tools draw on more than two decades across L&D, organizational development, workforce capability, and enterprise transformation, including eight years leading enterprise learning strategy for a 60,000-learner network. Doctor of Business Administration. CTDP, PMP, CSSBB. Author of books on workforce capability, learning strategy, and leadership.
If you need to diagnose an AI or workforce decision before committing resources, start with the tools and diagnostics on this site.
Practical perspectives on learning strategy, AI, and workforce capability for CEOs, CHROs, and L&D leaders.
Solve the Right Problem Podcast
Conversations with senior leaders, practitioners, and researchers on how AI, behavioral science, and modern learning design are reshaping workforce capability. Designed for CLOs, CHROs, and executives who expect more from L&D than courses and completion rates.
I write for leaders who expect learning to drive performance. My books focus on learning strategy, leadership development, workforce capability, and workplace effectiveness.
Self-service resources that help leaders diagnose the real constraint, choose the right response, and connect capability work to measurable performance.
Short decision tools that help identify what kind of problem you are actually dealing with before committing to an intervention.
Job aids, frameworks, and worksheets for capability diagnosis, intervention choice, performance enablement, AI readiness, and impact.
Articles, reports, and authored frameworks explaining the reasoning behind the tools and what changing work, AI, and capability mean for leaders.
Feedback from executives and partners I have worked with on learning, leadership, and workforce transformation initiatives.
Helping leaders move beyond training activity toward capability systems, governed AI adoption, behaviour change, and measurable learning impact.
For executive leadership and recruiter enquiries, visit rtulsiani.com.
