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350–400
Employees reached through enterprise AI awareness
60%*
Reported reduction in time on repetitive work among participating leaders
1:1
Individualized CXO coaching
3 Tiers
Awareness → Practitioner Mastery → Executive Transformation
* Reported participant experience, not an independently measured enterprise-wide result.
The Challenge
What was happening before Synottic
Some employees were curious, some experimenting, some hesitant — many were still unclear about what AI could actually do in their work, how to use it responsibly, and where it could create meaningful value. The organization needed to move an entire workforce from knowing about AI to confidently using it, and go deeper with the leaders who could turn that capability into broader adoption.
The Synottic Approach
What had to change
Synottic built a three-tier journey that deepened as the audience narrowed: Enterprise AI Awareness for roughly 350–400 employees, Practitioner Mastery for selected leaders working in the organization's own Copilot environment, and CXO Transformation Coaching delivered one-to-one on real business problems.
Enterprise AI Awareness → Practitioner Mastery → CXO Transformation Coaching
01
Build the Foundation
Approximately 350–400 employees, spanning CXO to frontline, learned how enterprise AI actually works (including why systems can produce incorrect outputs), how to use it responsibly with public versus private information, and how to move from fear and uncertainty toward curiosity and experimentation.
02
Turn Leaders Into AI Practitioners
Selected leaders with premium Copilot licenses moved into a hands-on experience inside the organization's own Copilot environment — prompt engineering and real business use cases culminating in participants building a working Copilot agent for a real repetitive task.
03
Transform the Executive Layer
CXOs worked one-to-one inside their own live Copilot environment, starting each session from a real problem, decision, or challenge they were facing that week — combining AI application with leadership coaching and neuroscience-informed observation.
Signature Moment
Build the First Agent
The strongest moment in the program came when participating leaders went beyond prompting and built a working Copilot agent for a real repetitive business task — moving AI from something they were learning about to something they had actually created. Leaders reported 60% less time spent on repetitive work after building and deploying that first agent. This is reported participant experience, not a measured enterprise-wide productivity claim — a distinction that makes the result more credible, not less.
Evidence
Program scope, not a satisfaction score
The engagement reached 350–400 employees at the awareness tier, moved selected leaders into hands-on agent building, and gave CXOs individualized coaching inside their own live work.
350–400 employees reached through enterprise AI awareness, spanning CXO to frontline
Selected leaders worked hands-on in the organization's own Copilot environment
60% reported reduction in repetitive-work time — self-reported by participating leaders, not independently measured
1:1 CXO coaching inside each executive's live Copilot environment
Before → After
What actually changed
| Level | Before | After |
|---|---|---|
| Workforce | AI readiness varied across the organization | A shared baseline of AI literacy across 350+ employees |
| Practitioners | Copilot used mainly for familiar administrative tasks | Selected leaders worked on real use cases and built their own AI agents |
| Executives | Leaders still exploring where AI could meaningfully fit | CXOs worked directly with AI on their own live business challenges |
Artifacts
What the engagement actually produced
- Working Copilot agents built by practicing leaders for real, repetitive business tasks
- Personal AI practice grounded in the organization's own Copilot environment
- One-to-one coaching notes tied to each executive's real, live business challenges
Human Impact
What changed for people, not just process
Giving employees access to an AI tool does not automatically change how work gets done. People needed understanding to trust the technology, practice to build confidence, real use cases for relevance, hands-on creation for ownership, and leadership coaching to change behavior at the top.
The Synottic Lens
What this demonstrates about AI transformation
We don't start with 'which AI tool should your people learn.' We start with 'what does your organization need people to understand, do, and change because AI exists' — then design the right depth of intervention for each level: awareness for the many, capability for the practitioners, transformation for the leaders.
