AI agents and ODA framework transform B2B sales for CSPs
The Growing B2B with autonomous agents Catalyst demonstrates how CSPs can automate sales for mid-market B2B customers using AI agents and TM Forums ODA framework, increasing deals and reducing costs.
A new Catalyst project titled 'Growing B2B with autonomous agents' showcases how Communication Service Providers (CSPs) can leverage AI-driven automation to serve mid-market B2B customers at scale. The solution, built on TM Forum’s Open Digital Architecture (ODA) framework, aims to transform the traditional sales journey by introducing autonomous agents that handle the entire process.
Key Benefits of the Solution
- Boosts deal volume: By automating repetitive tasks, CSPs can focus on high-value interactions.
- Reduces operational costs: AI agents cut down on manual labor and streamline workflows.
- Enables customer-led engagement: Flexibility is prioritized, allowing businesses to engage on their terms.
How It Works
The Catalyst project integrates autonomous AI agents with TM Forum’s ODA, a standardized framework designed to accelerate digital transformation. This combination allows CSPs to:
- Automate lead generation and qualification.
- Handle customer inquiries and negotiations autonomously.
- Scale operations without proportional increases in overhead.
Why This Matters
Mid-market B2B customers often fall into a gap between small business and enterprise offerings. This solution addresses that by providing scalable, cost-effective sales automation tailored to their needs. For CSPs, it represents a significant opportunity to expand market share while improving efficiency.
Links and Resources
For more information, contact:
- Joanne Taaffe, Editor in Chief
- Timothy Edwards, Commercial Manager
© 2025 TM Forum
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About the Author
Dr. Sarah Chen
AI Research Expert
A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.