Mendo for GenAI Chats

GenAI chats need their own adoption surface

A multi-vendor stack is the rule, not the exception.

Most enterprises don't standardize on a single GenAI provider. Each chat brings its own UX, its own quirks and its own adoption curve, and most teams never get past basic prompts on any of them.

Three things that make GenAI chats different

01
Multi-vendor is the norm.
Enterprise-grade adoption can't depend on one provider. Mendo works the same way across ChatGPT, Claude, Gemini and internal GPTs hosted on your own infrastructure.
02
Each chat has its own learning curve.
What works in ChatGPT doesn't always translate to Claude or Gemini. Users need contextual guidance per surface, not generic prompt training.
03
Adoption falls through the cracks.
Without a unified adoption layer, each chat gets its own informal training, its own Slack threads, its own scattered prompt library. Adoption stays low and uneven.

The opportunity

An adoption layer that doesn't depend on the AI provider is the one investment that survives every switch: labs stay relevant, certifications follow users, and the journey continues when you add or change a chat.

The answer

One adoption layer that lives directly inside each chat, so learning happens where users actually prompt, on whichever chat they use that day.

ChatGPT
Claude
Gemini
Internal GPTs

01 · Guide

Core prompting skills, on any chat

Clear instructions, role assignment, structured outputs, iterative refinement: taught once, applied on whichever chat users prefer.

02 · Certify

Certifications that follow users

Three levels, earned on whichever chat users prefer, and kept if you switch providers.

1Beginner
2Operational
3Expert

03 · Measure

Adoption per user, team and chat

Which platforms get used most, who's leading, what's spreading. Real usage data, not survey results.

04 · Share

Build prompts together, share what works

A shared prompt library populated by users themselves, with the prompts that deliver results in your context. Power users surface fast, and the whole team learns from real usage.

How Mendo connects to GenAI chats

A Chrome extension that lives inside every web-based AI chat.

See it live

01
A single Chrome extension
One install, multi-platform coverage. Rolled out through Chrome Enterprise policies, Intune, JAMF or your usual pipeline, with Mendo domains allowlisted.
02
An overlay inside the chat
Users open their usual chat and find Mendo inside it. They sign in with their corporate account and start a journey personalized by role.
03
Hands-on labs across platforms
Exercises validated by real interaction, prompts sent and responses generated. The same lab format on every chat.
04
Progress follows users
From ChatGPT in the morning to an internal GPT in the afternoon: progression follows, and the dashboard stays unified.

ChatGPTClaudeGemini

ChatGPT

Research this account before my call and list five discovery questions

Claude

Review this architecture note and list the riskiest assumptions

Gemini

Summarize this quarterly report into five key points

Installing Mendo Web

Chrome Enterprise · Intune · JAMF

Mendo labs

Research an account

Draft a proposal outline

Write the follow-up

Critical review

Structured outputs

Iterative refinement

Summarize a long document

Data summaries

Refine the tone

Journey progress

Coverage

Works across every chat your teams use, without touching their conversations.

Pre-built labs cover 200+ business use cases across Sales, Marketing, Finance, Project Management, HR, Operations, Legal and Data. Each user gets a path calibrated to their function, whichever chat they prefer.

ChatGPTConsumer + EnterpriseClaudeConsumer + EnterpriseGeminiWorkspace + consumerInternal GPTsCopilot Studio, Azure AI Foundry

ChatGPT

ChatGPT, consumer or Enterprise

Mendo Web activates inside the ChatGPT interface, whatever the underlying license. Users sign in with their corporate account and their adoption data flows into your Mendo dashboards.

Account research
Structured outputs
Iterative refinement

Claude

Claude, for the deep dives

Teams that standardized on Claude get the same labs and the same certification path, so a technical deep dive also builds prompting skills that transfer to every other chat.

Critical review
Long documents
Role assignment

Gemini

Gemini, across Google Workspace

For organizations standardized on Google Workspace, Mendo lives inside Gemini with the same role-based paths, so adoption stays comparable with the rest of your stack.

Data summaries
Leadership notes
Refine the tone

Internal GPTs

Your internal GPTs, in the same experience

Mendo Web detects internal GPT interfaces hosted on standard platforms: Microsoft Copilot Studio, Azure AI Foundry, ChatGPT and Claude Enterprise GPTs, custom enterprise UIs. Once configured, they get the same labs, adoption visibility and certifications as public chats.

Contract review
Internal knowledge
Agent usage

Real usage to ROI

Every interaction captured across chats becomes a strategic input.

Go beyond licenses deployed to value created: the data your CIO and AI lead need to steer a multi-vendor stack and build the case for going further.

01 · Signal

Adoption metrics

Mendo Adoption

Active users per chat vs license holders not using them
Prompts sent per user, per chat, per week
Which platforms get traction in which teams
Lab completion rates by department and platform

02 · Skill

Skill progression

Mendo AI Impact Center

From basic prompts to advanced techniques, captured across all chats
Certification levels reached per team
Champions: users who unlock advanced features fastest, on whichever chat they prefer

03 · Decision

Strategic insights

Agent prioritization: use cases that recur often enough to justify an internal agent
License rationalization: which chats are used vs paid for, with the data to negotiate or consolidate
Use case discovery: what spreads, on which platforms, in which teams
Internal GPT performance: which custom agents stick, and what to do about the rest

Customer stories

Trusted by enterprises leading the shift to GenAI.

**Aurélia Le Baudour**Head of Innovation, CNP Assurances

**Stanislas Duthier**Group CIO, Groupe Rocher

**Agathe Destang**Chief Digital Officer, NGE

Security & compliance

Built for managed enterprise environments.

SOC 227001Pentest

No conversation content sent out.Conversations, attached files and AI provider responses stay between the user and the AI provider. Mendo only receives interaction data during active labs.
No credentials requested or stored.Authentication via Microsoft, Google or corporate SSO.
Standard browser extension deployment.Chrome Enterprise policies, Intune, JAMF, MDM-compatible. No change to your AI stack.
No customer data stored.Mendo only keeps the data it generates: lab progress and anonymized interaction signals.

Does Mendo work with our ChatGPT Enterprise, Claude Enterprise or Gemini for Workspace deployment?

Yes. Mendo Web works the same way on consumer and Enterprise versions of these chats. The Chrome extension activates inside the chat interface regardless of the underlying license. Users authenticate with their corporate accounts, and their adoption data flows into your Mendo dashboards.

How does this work for our internal GPTs?

Mendo Web detects internal GPT interfaces hosted on standard platforms (Microsoft Copilot Studio, Azure AI Foundry, ChatGPT and Claude Enterprise GPTs, custom enterprise UIs). Once configured, your internal GPTs appear in the same Mendo experience as public chats, with the same labs, the same adoption visibility and the same certifications.

Can users mix and match chats?

Yes, and it is one of the strongest features. A user might prompt ChatGPT in the morning, switch to your internal Legal GPT for a contract review, then use Claude for a technical deep dive in the afternoon. Mendo follows them across chats, captures their progression on each, and surfaces the right learning at the right moment.

What does Mendo see in our chats?

Mendo Web doesn't transmit conversation content, attached files or AI provider responses. During an active lab, the validation engine receives interaction data (prompts sent, basic response detection) for real-time verification. This data isn't stored. Only learning progress is synced with Mendo's servers.

How does Mendo handle a switch between AI providers?

Mendo's content, labs and user progression don't depend on which chat you use. If you switch from one provider to another, or add a new one, the labs stay relevant, certifications follow users, and the adoption journey continues uninterrupted.

How does this fit with the rest of the Mendo stack?

Mendo Web (for GenAI chats) is one of three Mendo delivery products, alongside Mendo Copilot 365 (Microsoft 365 desktop apps) and Mendo Excel (standalone Excel add-in). They can be deployed independently or together. All three feed adoption signals into Mendo AI Impact Center, which consolidates real usage, measures ROI and prioritizes which agents to build next. Mendo Adoption is the user-facing layer that drives in-flow learning across all of these surfaces.

Drive structured GenAI adoption on every chat your teams use

A multi-vendor stack is the rule, not the exception.

Multi-vendor is the norm.

Each chat has its own learning curve.

Adoption falls through the cracks.