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.
/ At Pulse, we keep humans at the center of our process.
BCG's 2025 AI Radar report makes it clear: the organizations winning with AI aren't outspending everyone on technology - they're outinvesting everyone on their people. Top performers follow the 10-20-70 principle - allocating 10% of their resources to AI algorithms, 20% to data and technology, and 70% to people, processes, and cultural transformation. That 70% is exactly what an AI Change Management plan is built to deliver. Organizations that flip this ratio - spending the majority on tools while underinvesting in their workforce - consistently fail to generate measurable ROI. The technology was never the hard part. Getting your people ready is.
Read the BCG 2025 Research →
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.
Giving your company AI literacy to be effective.
Assess the AI you're using and what you need to change.
Execute the change.
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?
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 is an Independent AI Advisor and PROSCI Certified Change Practitioner, ADKAR methodology practitioner, and a graduate of the MIT AI Strategy program. Peter founded Pulse after watching too many AI rollouts collapse under the same failure pattern - strong technology, no plan for the people using it.
I'm vendor-agnostic and can work with any AI provider. The ways I work:
Book a call to reach out to my preferred AI vendor partners.
Field-level writing on AI adoption and change management. Written for leaders who are tired of being sold to.
AI adoption doesn't fail because of bad technology — it fails because organizations underinvest in preparing their people. The future of work belongs to companies that treat change management as a core part of their AI strategy, not an afterthought.
Read on LinkedIn →Most organizations are sprinting toward AI tools without a plan for the people who have to use them. Change management isn’t slowing down AI — it’s what makes it stick.
Read on LinkedIn →AI has the potential to transform how businesses operate — but only when teams are trained, aligned, and ready to adopt it. This post breaks down where organizations are seeing real operational gains and what it takes to get there.
Read on LinkedIn →