Sales Assistant

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 Assistant do? The agent helps sales teams translate rough customer demands into relevant sovanta service offerings and solution approaches before handing the opportunity over to subject matter experts.

From initial customer demand to the right solution approach – faster and more structured.

The starting point: Unclear customer demands and time-consuming qualification

Sales teams frequently receive customer requests that are still vague and not yet linked to specific services or solution approaches. Before subject matter experts can become involved, these requirements need to be interpreted, structured, and mapped to relevant offerings. This process is often manual and highly dependent on individual experience and expertise.

Interpreting customer needs correctly
Customers often describe their challenges from a business perspective without specifying a technical solution. Translating these needs into actionable approaches requires experience and domain knowledge.

Identifying suitable offerings
Matching customer requirements with relevant services and solution approaches can be time-consuming and is not always straightforward.

Enabling efficient expert involvement
Subject matter experts need structured and relevant information to assess opportunities effectively. Unclear handovers often result in additional clarification loops and delays.

What does our solution look like? Intelligent qualification of customer demands

The Sales Assistant analyzes incoming customer demands and helps sales teams translate them into potential solution approaches and relevant sovanta service offerings. Customer requests are structured and prepared for further qualification by the appropriate experts. This creates a solid foundation for opportunity assessment at an early stage of the sales process. In three steps, this means:

  1. Analyze customer requirements
    The agent evaluates the available information and identifies the key objectives, challenges, and needs behind the customer request.
  2. Suggest relevant offerings and approaches
    Based on the identified requirements, the agent recommends suitable sovanta service offerings and potential solution approaches.
  3. Prepare expert handover
    The results are documented in a structured format and prepared for efficient handover to the responsible subject matter and solution experts.

The result? Faster qualification and better sales preparation

The result includes faster initial assessments of customer demands, reduced manual effort in identifying suitable offerings, and improved preparation before involving subject matter experts. At the same time, the handover between sales teams and experts becomes more structured and efficient. The solution connects customer requirements with relevant sovanta offerings and solution approaches, helping sales teams qualify opportunities earlier and more effectively.

Do you have a similar challenge?

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Tags
AI / GenAI Artificial Intelligence Software Development