IntercomDeclan IvoryAnnouncement
Announcing The AI Agent Blueprint
Summary
The AI Agent Blueprint is a strategic guide for support, customer experience, and AI transformation leaders navigating how to adopt and scale AI Agents. Its first part, “Launch it,” covers building a business case, deciding whether to buy or build, evaluating an agent with a four-step framework, planning deployment, and continuously training, testing, deploying, and optimizing performance. The second part, “Scale it,” focuses on redesigning customer experience, organizational and system design, and economics through AI-first journeys, new roles and governance structures, and revised metrics, ROI models, and reinvestment strategies. The Blueprint argues that launching an agent is only the beginning: sustainable value requires treating AI as infrastructure and support as a potential growth lever, and it is live now.
Context
Support leaders face pressure to adopt AI, but the path to starting, defining success, testing, and deploying AI Agent solutions remains unclear. The Blueprint addresses this need for a strategic map covering launch and long-term scale.
Approach / What changed
The Blueprint is organized into “Launch it” and “Scale it.” It covers business-case development, buy-versus-build decisions, four-step agent evaluation, deployment planning, continuous performance improvement, AI-first customer journeys, organizational and system design, governance, ownership, metrics, ROI models, and reinvestment strategies.
Takeaways
The “Launch it” section covers evaluating an AI Agent with defined success measures, selected criteria, and a four-step assessment framework.
The “Scale it” section is organized around customer experience, organizational and system design, and economics.
The Blueprint recommends continuous processes for training, testing, deploying, and optimizing an AI Agent after launch.
Source and freshness
- Source
- intercom.com
- Published
- Added to Yomu
Summaries are generated from the original by a language model. Check the original before relying on it.
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