Sales Support Agent

This use case features one of the 18 ready-to-use AI agents that helped us win the “Agent Race to Sapphire 2026.” What does the Sales Support Agent do? The agent helps B2B sales teams consolidate information from projects, CRM systems, and communication history to answer sales-related questions and identify the most suitable next actions.

All relevant sales information in one place – for better decisions and faster deal progression.

The starting point: Fragmented sales information and limited visibility

B2B sales teams regularly need to answer customer- and opportunity-related questions that require information from projects, CRM systems, and communication history. Since this information is often stored across multiple systems, it can be difficult to quickly gain a complete view of revenue potential, recent customer interactions, and appropriate next actions. Consolidating the required information is often a manual and time-consuming process.

Bringing together information from multiple sources
Project data, CRM records, and communication history are typically spread across different systems. Manually consolidating this information requires significant effort and can lead to inconsistencies.

Assessing revenue potential quickly
Sales teams need a reliable understanding of opportunities and revenue potential. The required information is often not available in a single location.

Identifying the right next actions
Determining the most effective sales activities requires a complete understanding of the current customer situation. Without full visibility, opportunities may be missed or pursued too late.

What does our solution look like? Intelligent sales guidance based on consolidated data

The Sales Support Agent consolidates information from project systems, CRM platforms, and communication sources into a unified view. Based on this information, the agent answers sales-related questions, supports revenue potential assessments, and recommends suitable next actions. This provides sales teams with a structured foundation for preparing, managing, and following up on customer engagements. In three steps, this means:

  1. Consolidate data sources
    The agent gathers and combines relevant information from project, CRM, and communication systems to create a comprehensive customer and opportunity view.
  2. Deliver sales-relevant insights
    Based on the available information, the agent answers questions related to revenue potential, project status, customer activities, and recent developments.
  3. Recommend next actions
    The agent analyzes the current situation and suggests concrete sales activities to advance opportunities and strengthen customer relationships.

The result? Greater visibility and more effective sales execution

The result includes faster access to relevant sales information, improved visibility into revenue potential, and a clearer overview of recent customer interactions. At the same time, manual effort for consolidating and evaluating information from different sources is significantly reduced. The solution combines project, CRM, and communication data into an intelligent assistant that supports sales teams throughout sales preparation, execution, and follow-up activities.

Do you have a similar challenge?

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Tags
AI / GenAI Artificial Intelligence Software Development