The first AI co-pilot purpose-built for change management. Sherpa reads your project documents, builds out your project and drafts the work, so your team can focus on people.
Built on the rich data in the Change Workspace, Sherpa goes far beyond generic AI by using your actual change data.
Sherpa understands change management frameworks, terminology and workflows. It recommends a roadmap of tools from your project documents, and draws on your organization’s change knowledge for accurate, relevant outputs.
From scoping to sustainment, Sherpa cuts the time your team spends on content, analysis, execution, data upkeep and reporting. Start a project by uploading a document, and Sherpa builds it out.
Every insight, recommendation and output is grounded in your project data, not generic training data, and each client has a dedicated AI model.
Sherpa handles the heavy lifting so practitioners can focus on what people do best: building relationships, coaching leaders and navigating organizational politics.

Generate content in the platform from live Change Workspace data and linked project documents. Sherpa populates analytical tools and drafts communications, training outlines and change narratives, without starting from scratch.
Sherpa fills PowerPoint templates with program data, insights, risks, milestones and reporting, so executive-ready presentations take minutes.
Sherpa automates repetitive activities, approvals, updates, notifications and admin across the platform, improving consistency and freeing time for strategic work.
Sherpa analyzes your change data to surface trends, risks, readiness gaps and sentiment patterns, then recommends what to do about them.
Sherpa answers user questions and guides people through workflows inside the app, helping everyone get value from day one.
Supply Chain Optimization – Changes › Change Narrative
Out of scope: production planning and manufacturing processes, customer-facing sales and distribution channels, finance systems beyond integration touchpoints, and HR changes outside the Supply Chain function.
Supply Chain Optimization – Changes › Problems, Opportunities & Benefits
Reduce stock-outs by 30% and halve emergency freight within 12 months.
These are the AI PowerPoint slides I can create from your project data.
Supply Chain Optimization – Changes › Changes (Project Deployments)
No data entry needed. Review, refine and confirm each change.
| Title | Deployment dates | Status |
|---|---|---|
| Introduction of 90-day maintenance planning cadence | 1 Oct 2026 – 31 Jan 2027 | Review |
| Structured inventory reporting | 15 Nov 2026 – 28 Feb 2027 | Review |
| New inventory management system | 1 Nov 2026 – 31 Mar 2027 | Review |
| Supply base relocation | 1 Dec 2026 – 30 Jun 2027 | Review |
| Inventory transport decision ownership | 1 Oct 2026 – 31 Jan 2027 | Review |
Supply Chain Optimization – Strategy › Strategy Optimizer
Adds two-way forums for this high-impact group before go-live.
✓ Tactic createdAt least four readiness communications in the month before go-live.
New recommendationI recommend a go-live readiness campaign. Inventory controllers face high impact in May, so four readiness messages in the month before go-live will lift adoption.
Connect your favorite AI tools to extend AI-powered workflows and productivity.

Bring structured change data, stakeholder insights, risks, impacts and program context into your Claude workflows to analyze, summarize, draft and decide with trusted Sherpa data.

Use Sherpa data in Teams, Outlook, Word, PowerPoint and Excel to generate reports, presentations and leadership updates, and answer program questions.
See how Matae and Sherpa help your team deliver more change, with less effort.
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