Sounds Like Me: The Human Layer For Microsoft Copilot
Increase Copilot adoption by aligning AI output to each user’s voice, values and working style.
- Category
- AI Apps and Agents
- Registry category
- Operations & Productivity
- Vendor
- Courageous Success Ltd
- Location
- Not disclosed
- Reviews
- 1 reviews on record
- Listed on
- Microsoft Marketplace
- Pricing
- Not stated
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Overview
AI adoption doesn’t stall because of capability. It stalls because people don’t trust AI to represent them.
Across organizations, Copilot output is checked, rewritten or avoided because it doesn’t reflect the individual using it. This creates hidden cost through rework and slows adoption.
Show the rest of the publisher’s description (51 more lines)
Sounds Like Me® introduces a human reference layer for Microsoft Copilot, enabling AI output to align with each user’s communication style, values and standards.
The result: reduced rework, increased usage and confident delegation to AI.
Key Benefits
- Increase Copilot adoption
Users rely on AI output that reflects how they communicate and work.
- Reduce rework and editing time
Minimise “verification tax” caused by rewriting generic AI output.
- Enable confident delegation
Move from using Copilot as a tool to relying on it for day-to-day work.
- Improve productivity at scale
Faster output creation with less hesitation and second-guessing.
- Support individual effectiveness
Each user receives AI output aligned to their authentic style and preferences.Key Features
- Individual user profiles (iAM)
Each user defines their values, communication style and working preferences via a structured Learning Management System (LMS) experience (30–45 minutes).
- Copilot integration
Profiles are used within Microsoft Copilot to guide output generation aligned to the individual user.
- Personalised AI output
Copilot generates content tailored to the user’s tone, standards and way of working.
- In-product access
Available via the Copilot sidebar for everyday use across tasks.
- Coaching and reflection support
Users can explore strengths, preferences and working patterns alongside AI usage.
How It Works
- Create user profile
Users complete a structured iAM profile via your Learning Management System (SCORM compatible).
- Activate in Copilot
The Sounds Like Me agent is deployed within Microsoft Copilot using Copilot Studio.
- Generate aligned output
Copilot uses the profile to produce output aligned to the individual user.
- Use across daily work
Applies to emails, documents, feedback, summaries and communication tasks.Business Impact
- 40% increase in Copilot prompts
- 108/100 Microsoft 365 adoption score in week one
- Reduced editing and rework across AI-generated contentIn a live enterprise deployment (450 users), increased usage correlated with increased trust in AI-generated output.
Use Cases
- Authentic internal communications.
- Performance and feedback writing.
- Document creation and summarisation.
- Leadership communication.
- Team collaboration including in Microsoft Teams .
Security & Deployment
- Runs within your Microsoft tenant.
- No external data exposure.
- No model retraining required.
- Role-based access and deployment via LMS and Copilot Studio.
Who It’s For
- Organizations deploying Microsoft Copilot at scale.
- CIOs and CTOs responsible for AI adoption.
- HR, L&D and People leaders driving usage and behaviour change.
- Teams seeking to improve productivity and reduce rework.
Preview
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Publisher resources
- Support (opens in a new tab)
- Sounds Like Me from iAM Brochure (opens in a new tab)
- Human Layer (opens in a new tab)
- 'Sounds Like Me' From iAM (opens in a new tab)
Sources
- Marketplace listingMicrosoft Marketplace (opens in a new tab)
- Legal linkPrivacy Policy (opens in a new tab)
- Legal linkLicense Terms (opens in a new tab)
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Information shown here reflects the best available information at the time of assessment and may be incomplete, outdated, or subject to change. It should be independently verified before being relied upon for any decision. SettleTop is not liable for any errors, omissions, or decisions made in reliance on this information.
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