ServiceNow, Accenture partner to deliver agentic AI at enterprise scale

· Source: Tech Monitor · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Cloud Computing & IT Infrastructure · Depth: Intermediate, quick

Summary

ServiceNow and Accenture have launched a forward deployed engineering program designed to help enterprises transition agentic AI from pilot projects to broad production environments. This initiative embeds ServiceNow's AI engineering teams with Accenture's sector-focused specialists to co-develop and integrate agentic AI workflows directly into clients' operational systems using the ServiceNow AI Platform. The program aims to accelerate operational speed, reduce costs, and enhance customer service by leveraging over 300 pre-built AI agent skills and workflows. A key component is ServiceNow's AI Control Tower, which provides governance and management for AI agents at scale, ensuring comprehensive oversight of performance and outcomes. This collaboration addresses the gap between recognized AI revenue potential and consistent company-wide impact, which both firms attribute to delivery challenges.

Key takeaway

For CTOs and VPs of Engineering struggling to scale AI initiatives beyond pilot phases, this joint ServiceNow and Accenture program offers a structured path to production. Your teams can leverage combined platform and industry expertise to integrate agentic AI workflows directly into existing systems, potentially accelerating operational speed and reducing costs. Consider this approach to move AI from isolated experiments to a core driver of business reinvention.

Key insights

A new program combines ServiceNow and Accenture expertise to deploy agentic AI from pilot to production.

Principles

Method

Forward deployed engineering places AI and industry specialists together to design, build, and scale AI workflows from initial implementation to company-wide operation in a continuous process.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Executive, Director of AI/ML, AI Architect, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech Monitor.