Pricing:
$5,000 per 50 employees
Pricing:
$10,000 per 50 employees for Adoption Roadmaps. Call for Pricing on Building AI Systems.
Pricing:
$5,000 half day / $10,000 full day, up to 50 employees
Pricing:
Call for Pricing
Each of these services can be purchased independently, or combined for a reduced rate depending on where you are in your AI journey. Book a strategy call to get started.
Don’t know where to start, or wondering how your AI program is doing? Give us a call. We conduct an AI Audit if you’re already using AI, or an AI Readiness Assessment if you’re just beginning, identifying your AI gaps, calculating the ROI on what’s needed next, and building an adoption roadmap that gets your team to see more productivity per employee.
/ 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.
AI strategy, user adoption, and organizational protection. The academic spine.
The gold-standard change methodology. Awareness → Desire → Knowledge → Ability → Reinforcement.
Identify what’s working, calculate what’s being wasted, and prioritize what’s next — with ROI data to back every decision.
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.
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 the post →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 the post →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 the post →
