Pulse is a change-management consultancy built for organizations navigating the complexity of AI adoption. We help leadership teams build the people-side strategy that makes AI actually stick — grounded in the MIT framework and executed through the proven PROSCI/ADKAR methodology. We work directly with your team to reduce resistance, accelerate adoption, and turn AI investment into measurable results.
Most AI tools sit unused six months after rollout. A structured adoption plan flips that math — fast. Here's the formula leaders use to decide where to start.
The variable everyone underestimates is the middle one. Pulse exists to move that number.
Strategy from MIT.
Execution from the field.
Pulse is anchored to the MIT framework for enterprise AI — the leading academic program for strategy, user adoption, and organizational protection. The framework supplies the diagnostic. PROSCI and ADKAR supply the implementation discipline.
What that means in practice: a defensible methodology behind every recommendation, and a structured way to measure whether it's working — not just whether it's been launched.
Every engagement begins where you are — not where a methodology says you should be. Choose the entry point that matches your team's readiness, budget, and timeline.
A 3-minute diagnostic. You leave with a one-page report on where your AI adoption stands and three concrete next moves.
Take the free 3-minute assessment →Build your team's AI fluency. Facilitated sessions for leadership, HR, and managers — built around your real challenges, not vendor demos.
See workshops →The lowest-risk way to start. Structured assessment of readiness, adoption gaps, and resistance — delivered as a written report with a prioritized action plan.
Read the spec →The full PROSCI/ADKAR engagement. Stakeholder alignment, sponsor coaching, resistance management, adoption measurement. Strategy through execution.
See methodology →Every engagement runs on documented frameworks with peer-reviewed track records — so your team can audit the work, not just the outcomes.
AI strategy, user adoption, and organizational protection. The academic spine.
The gold-standard change methodology. Awareness → Desire → Knowledge → Ability → Reinforcement.
Quantify readiness before rollout. Diagnostic surveys, persona mapping, behavioral baselining.
Is your culture psychologically safe enough for honest AI experimentation?
Real outcomes from real rollouts. Situation → intervention → measured result. Two recent engagements; more available on request.
If you're rolling out AI without an adoption plan, you are statistically rolling out a write-off. Here's the industry math.
Most rollouts don't fail. They stall. Quietly. For months. Until someone notices.
Peter Edwards founded Pulse after watching too many AI rollouts collapse under the same failure pattern — strong technology, no plan for the people using it. PROSCI Certified Change Practitioner, ADKAR methodology, and a graduate of the MIT AI Strategy program.
Pulse operates on a direct-engagement model. You don't get an account manager. You don't get a deck from a junior. You get Peter on every call, in every workshop, on the ground for every engagement.
Field-level writing on AI adoption and change management. Written for leaders who are tired of being sold to.
The "skeptical pragmatist" looks like the easiest one to convert. They aren't. Here's the order to work them in.
Read →The single pattern I've watched repeat across 14 engagements. It has nothing to do with the model.
Read →The template, the rationale behind every clause, and the three things to cut from the version your vendor sent you.
Read →