7 CRM trends for 2026: AI brings decisive action to customer workflows

2026-07-23 · Source: CIO · Field: Business & Management — Sales & Commercial Development, Marketing, Branding & Advertising, Operations & Process Management · Depth: Intermediate, medium

Summary

Agentic AI is fundamentally reshaping Customer Relationship Management (CRM) in 2026, moving platforms from passive systems of record to autonomous systems of action. Forrester data indicates approximately 70% of companies already integrate AI into their CRM systems. This transformation introduces several key trends, including a shift in workforce strategy from hiring for deep expertise to valuing broad experience, as AI commoditizes specialized knowledge. The importance of sound data management is amplified, with CRM platforms converging with customer data platforms (CDPs) to create real-time, connected data networks. Furthermore, pricing models are evolving from subscriptions to complex outcome- or consumption-based approaches, exemplified by ServiceNow's AI tokens and Salesforce's pay-per-resolution. The proliferation of agents necessitates multi-agent orchestration tools for monitoring and policy enforcement. Conversational interfaces are becoming standard, enabling natural language commands for sales preparation and automated customer service. Ultimately, agentic AI is driving significant business process transformation, encouraging organizations to rethink legacy workflows for exponential growth.

Key takeaway

For Directors of AI/ML or VPs of Engineering evaluating CRM strategies, recognize that agentic AI demands a fundamental shift from passive systems to active, autonomous workflows. You must prioritize robust data quality and consider the emerging complexity of outcome-based pricing models. Re-evaluate workforce skills, focusing on broad experience over deep expertise, and plan for multi-agent orchestration. Embrace conversational interfaces to enhance user efficiency and drive significant business process transformation, ensuring your CRM investments yield exponential growth.

Key insights

Agentic AI is transforming CRM into proactive, autonomous systems, demanding new data, workforce, and pricing strategies.

Principles

• CRM shifts to systems of action.
• Data quality underpins AI value.
• AI commoditizes deep expertise.

In practice

• Implement AI for next-best actions.
• Automate case routing, follow-ups.
• Use natural language for CRM tasks.

Topics

• Agentic AI
• CRM Systems
• Data Management
• AI Pricing Models
• Multi-Agent Orchestration
• Conversational Interfaces

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

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