Microsoft Copilot Studio for Sales & Business Development
Build AI Agents for Prospecting, Lead Management & Sales Workflows
Programme Objectives
- Build foundational capability in using Microsoft Copilot Studio for prospecting, lead management, account engagement, and sales-support workflows.
- Create knowledge-grounded agents that use approved product, solution, account, sales-process, and customer information.
- Configure agents and Agent Flows for lead intake, qualification, routing, follow-ups, CRM interactions, and opportunity support.
- Connect agents with CRM and approved business systems while maintaining appropriate human approval for customer-facing or commercial actions.
- Build reusable Prospect → Qualify → Engage → Update → Follow-Up → Monitor workflows with appropriate governance.
Tools covered
Who should attend
- Sales Managers
- Business Development Managers
- Account Managers
- Key Account Managers
- Enterprise Sales Professionals
- Inside Sales Professionals
- Sales Development Representatives
- Business Development Executives
- Sales Operations Professionals
- Revenue Operations Professionals
- Pre-Sales Professionals
- Sales Enablement Professionals
- Sales Team Leads
Prerequisites & Participant Readiness
- Basic understanding of sales or business-development processes
- Familiarity with leads, accounts, opportunities, CRM records, and customer follow-ups
- Basic awareness of CRM or sales applications is helpful
- General understanding of AI or workflow automation is beneficial
- No programming expertise required
- No previous Microsoft Copilot Studio experience required
TOC Modules
- Understanding agents, instructions, knowledge, tools, connectors, and generative orchestration
- Identifying sales applications across prospecting, qualification, account support, follow-up, and opportunity management
- Differentiating AI assistance, deterministic automation, and human sales judgement
- Understanding where agents can improve sales productivity without replacing relationship ownership
- Exploring a representative sales agent
- Mapping Sales Activity → Agent Capability → Business Outcome
Scenarios
Inbound Lead to Qualified Sales Handoff
Participants build an agent-assisted lead workflow that collects and structures prospect information, applies defined qualification logic, updates the approved sales system, and routes the opportunity to the appropriate sales professional.
Sales Meeting to Structured Opportunity Follow-Through
Participants design a sales follow-through workflow that converts validated meeting information into structured next actions while keeping customer communication, commitments, pricing, and commercial judgement under authorised human control.
## Current Capability Reference
Microsoft Copilot Studio's current **generative orchestration** can interpret user intent and dynamically choose relevant knowledge, tools, and actions. Microsoft recommends deterministic or human-controlled checkpoints where activities must happen exactly as defined or carry material business risk.
Current **Power Platform connectors** can be added as agent tools to interact with external applications and services. They support real-time API operations, including reading or writing information, while Copilot connectors are designed for broadly searchable, semantically indexed enterprise knowledge.
Current real-time knowledge connectors include supported enterprise sources such as **Salesforce, Dynamics 365, Dataverse, SAP, Snowflake, and other business systems**. Runtime access uses the connected user's identity and preserves source-system access controls. Some real-time knowledge functionality remains in preview and should be validated before production implementation.
Microsoft currently provides **Human-in-the-Loop** capabilities for workflows and agents, enabling processes to request human input or approval before continuing—important for pricing, commercial commitments, exceptional terms, or other sensitive sales actions.
Copilot Studio's current **Agent Evaluation** provides structured, repeatable testing using reusable test sets, while monitoring provides visibility into conversation activity, tool usage, knowledge usage, errors, engagement, and response-quality indicators after deployment.
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