No.001 — 2026
PracticeAI Change Management
BasedCharleston, SC
MethodPROSCI · ADKAR · MIT
FounderPeter Edwards
StatusAccepting Q2 engagements

AI adoption fails when no one manages the human side. We fix that.

Pulse is a change-management consultancy for organizations rolling out AI. Strategy from the MIT framework, execution through PROSCI/ADKAR — delivered directly by Peter Edwards. No junior layer, no vendor pitch, no hype.

Book a strategy call See the path
02 / Plate 02
The ROI Case / Argument · before scroll · math

40% more productivity after a structured plan.

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.

/ I
40%¹
Productivity lift, post-engagement, measured at 90 days.
/ MIT AI Strategy program · 2024
/ II
73%²
AI initiatives that stall at adoption — not at technology.
/ BCG enterprise AI survey · 2025
/ III
³
ROI multiplier when change management leads the rollout.
/ Prosci Best Practices · 12th ed.
¹Average across 14 Pulse engagements, 2023–2025. Measured at day 90 via baseline-adjusted productivity surveys and qualitative manager review.
²BCG. Where's the Value in AI? 2025 enterprise survey, n=1,406. Adoption — not technology — was the top failure mode.
³Prosci. Best Practices in Change Management, 12th ed. Projects with structured CM are 6× more likely to meet objectives.
(Hours saved)×(Adoption rate)×(Loaded cost)=ROI

The variable everyone underestimates is the middle one. Pulse exists to move that number.

03 / Plate 03
The Methodology / MIT Framework · adapted · field-tested

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.

/ INPUT · ORG STATE / OUTPUT · MEASURED ADOPTION / 01 Strategy Where AI creates leverage. Where it creates risk. / MIT FRAMEWORK / 02 · ACTIVE Adoption Sponsor alignment. Resistance management. / PROSCI · ADKAR / 03 Protection Governance · data hygiene. Policy that legal will sign. / FEARLESS ORG · IBM / measure · iterate · 30 · 60 · 90
Framework component Where Pulse spends 70% of engagement time Fig. 01 — Three-pillar model
04 / Plate 04
Where do you start? / Four entry points · self-select

Four ways in.
Pick the one that fits the moment.

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.

/ Entry 01 · Free
i

AI Readiness Assessment

A 3-minute diagnostic. You leave with a one-page report on where your AI adoption stands and three concrete next moves.

3 min$0
Take the free 3-minute assessment
/ Entry 02 · Learn
ii

AI Workshops

Build your team's AI fluency. Facilitated sessions for leadership, HR, and managers — built around your real challenges, not vendor demos.

Half / full day$ on req.
See workshops
/ Entry 03 · Assess
iii

AI Efficiency Audit

The lowest-risk way to start. Structured assessment of readiness, adoption gaps, and resistance — delivered as a written report with a prioritized action plan.

3–4 weeks$ on req.
Read the spec
/ Entry 04 · Execute
iv

AI Change Management

The full PROSCI/ADKAR engagement. Stakeholder alignment, sponsor coaching, resistance management, adoption measurement. Strategy through execution.

3–9 months$ on req.
See methodology
05 / Plate 05
Tools & frameworks / No black boxes · documented · peer-reviewed

The toolkit, named.

Every engagement runs on documented frameworks with peer-reviewed track records — so your team can audit the work, not just the outcomes.

/ 01

MIT Framework

AI strategy, user adoption, and organizational protection. The academic spine.

/ 02

PROSCI · ADKAR

The gold-standard change methodology. Awareness → Desire → Knowledge → Ability → Reinforcement.

/ 03

Adoption Assessments

Quantify readiness before rollout. Diagnostic surveys, persona mapping, behavioral baselining.

/ 04

Fearless Org. Scan

Is your culture psychologically safe enough for honest AI experimentation?

06 / Plate 06
Selected work / Real engagements · measured outcomes

Engagements that actually shipped.

Real outcomes from real rollouts. Situation → intervention → measured result. Two recent engagements; more available on request.

Manufacturing · 1,200 employees / 11 weeks

From "AI policy banned" to documented playbook in eleven weeks.

Situation
No AI policy. Engineers using shadow tools.
Intervention
Sponsor alignment, governance, role-based pilots.
Outcome
94% policy compliance at 90 days.
38%
Time saved on documentation by engineering teams.
Professional services · 240 employees / 16 weeks

Half the firm refused the AI tool. We changed that.

Situation
$180k AI license. 41% active users.
Intervention
Resistance mapping, partner-led coaching, ADKAR sprints.
Outcome
89% active users at month four.
2.4×
ROI on the existing AI subscription.
07 / Plate 07
Why this matters / Industry math · why CM isn't optional

Change management isn't optional.
The numbers don't leave room for it to be.

If you're rolling out AI without an adoption plan, you are statistically rolling out a write-off. Here's the industry math.

/ i
70%
Of transformation initiatives fail to meet their stated goals.
/ McKinsey · 2024
/ ii
$1.3T
Annual cost of poorly-managed organizational change, globally.
/ Gartner · 2024
/ iii
Higher likelihood of project success when change management leads — not bolts on.
/ Prosci longitudinal study
/ iv
8mo
Average time AI tools sit underused before leadership intervenes.
/ MIT enterprise survey · 2025
Most rollouts don't fail. They stall. Quietly. For months. Until someone notices.
— Peter Edwards Founder, Pulse Change Management. From "Why your AI pilot succeeded and the rollout failed," The Pulse Brief, Jan. 2026.
08 / Plate 08
The Founder / Direct engagement · no junior layer
/ Founder portrait
PE
Peter Edwards · drop image
Pulse · Charleston4×5 · color

One practitioner.
Every call.

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.

— Peter Edwards
Founder · Pulse Change Management
Charleston, SC
PROSCI Certified ADKAR Practitioner MIT AI Strategy Fearless Org. Scan 15+ engagements
Read the full bio
09 / Plate 09
The Pulse Brief / Practitioner notes · no hype · no vendor reviews

Practitioner notes.
No hype, no vendor reviews.

Field-level writing on AI adoption and change management. Written for leaders who are tired of being sold to.

/ Adoption6 minFeb 2026

The four resistance archetypes — and which one is killing your rollout.

The "skeptical pragmatist" looks like the easiest one to convert. They aren't. Here's the order to work them in.

Read
/ Strategy9 minJan 2026

Why your AI pilot succeeded and the rollout failed.

The single pattern I've watched repeat across 14 engagements. It has nothing to do with the model.

Read
/ Governance4 minJan 2026

A one-page AI policy your legal team will actually sign.

The template, the rationale behind every clause, and the three things to cut from the version your vendor sent you.

Read

Stop rolling out AI and hoping.
Start managing it.

Book a free strategy call
30 minutes · no pitch deck You leave with one thing to act on Whether or not we work together