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Challenge

AI-Augmented CRM Agent Collaboration

Design and implement a system where AI agents and human agents collaborate effectively within a CRM (Customer Relationship Management) environment. The AI should handle routine tasks, freeing up human agents to focus on complex issues and customer relationships. This system should leverage the success of companies like Attio, focusing on efficient task delegation and seamless human-AI interaction. Consider features like intelligent task assignment, automated data entry, and real-time feedback mechanisms.

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Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Build a CRM system where AI and human agents work together seamlessly, improving efficiency and customer experience.

Delivery guide

How work is evaluated

Evaluation

The system will be evaluated on its ability to automate tasks, improve agent efficiency, and maintain accuracy. Evaluation will involve simulated scenarios and performance metrics.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Learning goals

What you should walk away with

  • Design an architecture for AI-human agent collaboration in a CRM.

  • Create a user interface for efficient human-AI interaction.

  • Develop a system for seamless task delegation between AI and human agents.

  • Implement an AI agent capable of handling routine CRM tasks.

  • Evaluate the system's performance in terms of efficiency and accuracy.

Resources and assets

Reference links and supporting material

Dataset notes

Sample data for 1 tasks

Challenge setup

The system will be evaluated on its ability to automate tasks, improve agent efficiency, and maintain accuracy. Evaluation will involve simulated scenarios and performance metrics.

Challenge input

CRM data and task instructions

Agent execution

No agent tool is listed for this challenge.

Evaluated output

Completed task

Evaluation checks
  • No evaluation checks are configured.
Configured evaluation evidence
  • Task Completion Time target: 500
Configured runtime
  • Python execution harness

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

No tool records are attached.

Evaluation contract

  • No evaluation checks are configured.

Metrics

  • Task Completion Time · Target 500
  • Task Accuracy · Target 0.95

Workflow tasks

  1. Task 1

    Input: CRM data and task instructions

    Output: Completed task

    Execution harness: Python

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about AI-Augmented CRM Agent Collaboration