RepoMicrosoftMicrosoftpublished May 11, 2026seen 5d

microsoft/copilot-chat-m365-copilot-pitch-maker-agent

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microsoft/copilot-chat-m365-copilot-pitch-maker-agent

Description: AI pitch generator for Microsoft partners: from free Copilot Chat signals to executive-ready M365 Copilot value stories.

License: MIT

Stars: 4

Forks: 1

Open issues: 0

Created: 2026-05-11T14:22:53Z

Pushed: 2026-05-28T14:08:49Z

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README:

🚀 Copilot Chat → M365 Copilot Pitch Maker Agent (BETA)

Turn Copilot Chat usage into Microsoft 365 Copilot business value with AI-generated, customer-ready business cases.

📌 Overview

Across the Microsoft partner ecosystem, a consistent and powerful trend is emerging: customers are already engaging with AI. Many organisations are actively using free Copilot Chat, often at scale. This early adoption signals curiosity, experimentation, and growing reliance on AI assistance in day-to-day work.

In most cases, this usage is unstructured at the individual level, disconnected from core workflows such as Teams, Outlook, and Excel, and ungoverned from an enterprise perspective. That creates a critical inflection point.

The Copilot Chat → M365 Copilot Pitch Maker Agent (BETA) is designed to help Microsoft partners move customers through that inflection point by turning exploration into standardisation, experimentation into enterprise value, and usage into measurable outcomes. Instead of manually crafting pitch narratives, partners can generate a complete, structured, data-backed business case through a guided conversational experience.

This is not only an efficiency tool; it is an advisory and outcomes accelerator.

🎬 See It in Action

Watch a live demonstration of how the Agent (BETA) transforms partner center data into compelling customer business cases:

![Watch the Pitch Maker Demo](https://youtu.be/LnodAI8cajU)

**▶️ Watch on YouTube**

🎯 The Opportunity for Partners

The transition from free Copilot Chat to Microsoft 365 Copilot represents one of the most immediate and scalable business value opportunities today.

Customers are already demonstrating willingness to use AI, building familiarity with Copilot experiences, and expecting more from AI in their workflows. However, many still lack a clear understanding of enterprise-grade capabilities, awareness of risk exposure in ungoverned usage, and a concrete vision for how AI should integrate into real business processes.

This creates a natural advisory gap that partners are uniquely positioned to fill. To execute this motion effectively, partners must translate usage metrics into business insight, balance opportunity with governance risk, articulate a clear upgrade narrative, and deliver messaging that resonates with both IT and business stakeholders.

The Pitch Maker Agent (BETA) addresses this directly by functioning as a scalable advisory engine rather than only a content generator.

💡 What the Agent (BETA) Does

At its core, the Agent (BETA) simulates how a high-performing consultant would engage a customer, but it does so consistently, at scale, and in seconds.

🔹 1. Input: Customer Context and Data Upload

The Agent (BETA) begins with a dataset exported from the Partner Center Copilot growth opportunities (ASPX) report. Partners should export the full dataset (selecting all columns as instructed in the runbook) and upload the file directly in the Agent (BETA) prompt—no knowledge source configuration in Copilot Studio is required.

Once the file is uploaded, partners can provide multiple customer names in the Agent (BETA) prompt, submitting each name one after another to generate tailored upgrade pitches for each customer.

This approach ensures that all recommendations and narratives are grounded in the most current, customer-specific data, keeping outputs contextual, credible, and actionable.

🔹 2. Intelligent Interpretation of Signals

The Agent (BETA) intelligently interprets the uploaded Partner Center dataset for each customer you specify. Instead of simply displaying raw metrics, it analyzes the data to surface actionable insights—such as identifying gaps between free and licensed Copilot usage and surfacing upgrade opportunities.

This turns raw customer data into a clearer business story, helping partners explain what the signals mean, why they matter, and where Microsoft 365 Copilot creates the strongest upgrade case.

🔹 3. End-to-End Business Case Generation

The Agent (BETA) produces a complete narrative in the structure executives expect.

✅ Executive Summary (Strategic Framing)

The executive summary highlights adoption imbalance, frames both opportunity and risk, and sets a business-oriented direction for action.

✅ Current State Analysis (Grounded Reality)

This section explains that free Copilot Chat usage is often fragmented and not fully embedded in organisational workflows, while governance and auditability controls are limited. The framing remains constructive: existing usage is treated as valuable experimentation that is ready to mature into enterprise capability.

✅ External Context and Supporting Signals

To strengthen credibility, the narrative incorporates broader market signals, AI adoption trends, and relevant external references. This moves the discussion from isolated internal observation to strategic alignment.

✅ Business Challenges and Pressure Points

The Agent (BETA) identifies opportunity-led growth drivers, governance and compliance pressures, and operational constraints such as limited analytical depth and inconsistent decision processes. Each challenge is tied back to observable customer context to keep urgency credible, using Partner Center signals such as Copilot Opportunity recommendations, propensity indicators, adoption status, and renewal timing where available.

🧠 AI Value in the Flow of Work

A key differentiator of this Agent (BETA) is that it shifts the conversation from generic AI capability to how work is actually performed across Microsoft 365 workloads.

🔹 AI for Collaboration (Teams)

In Teams, the story focuses on embedding AI into meetings and teamwork so conversations become structured knowledge and clear action. The practical result is better alignment, more consistent execution, and stronger accountability.

🔹 AI for Communication (Outlook)

In Outlook, the value is framed around turning communication into…

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Notability

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Low-stars repo, minor tool