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Ombud Elevating Enterprise RevOps with Intelligent Automation

What is Ombud?

Ombud provides an Orchestrated RevOps Platform specifically built for enterprise-level Revenue Operations teams. Leveraging expertise in sales engineering and response management, the platform employs context-aware intelligent support to move beyond basic automation. Ombud aims to significantly enhance operational efficiency by automating routine tasks and allowing teams to concentrate on strategic activities.

This automation helps lower the overall costs associated with sales cycles and enables RevOps teams to scale effectively without a proportional increase in overhead. The platform focuses on improving the accuracy and consistency of sales deliverables like Proposals of Value (POVs), Proofs of Concept (POCs), Requests for Proposals (RFPs), and Statements of Work (SOWs). It utilizes AI-enabled assistants, known as Ombuddies, tailored for different roles within the RevOps structure, providing real-time, role-specific guidance and automation.

Features

  • Orchestrated RevOps Platform: Centralized platform for enterprise RevOps.
  • Context-Aware Intelligent Support: AI-driven insights beyond basic automation.
  • Sales Engineering Ombuddy: AI assistant for solution mapping, technical assessments, demo scripts, and value-based selling.
  • Response Management Ombuddy: AI assistant for RFP responses, proposal workflow, InfoSec questionnaires, and client presentations.
  • Intelligent Automation: Automates key RevOps functions to reduce manual tasks.
  • Scalable Operations Support: Enables RevOps team scaling without proportional overhead increase.
  • Accuracy & Consistency Improvement: Enhances the quality of sales deliverables (POVs, POCs, RFPs, SOWs).

Use Cases

  • Automating Sales Engineering tasks like solution mapping and demo script creation.
  • Streamlining the creation and management of RFP responses and proposals.
  • Handling Information Security (InfoSec) questionnaires efficiently.
  • Generating bespoke client presentations.
  • Reducing manual workload for RevOps teams.
  • Improving the accuracy and consistency of sales documents.
  • Scaling Revenue Operations without significant cost increases.
  • Enhancing overall sales cycle efficiency.

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