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From LAER to DARE: The New Customer Engagement Model for the AI Era

2026 AI Customer Lifecycle Model

DARE: Complete AI Customer Lifecycle Framework

DARE: AI Engagement Model for Technology Providers

The Framework That Maps Your Entire AI Customer Lifecycle

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Overview

Challenges

Artificial intelligence is changing how technology providers create, deliver, and prove customer value. The traditional LAER model (Land, Adopt, Expand, Renew) helped companies scale during the SaaS era, but it wasn’t built for AI-driven outcomes. AI requires deep integration, continuous optimization, governance, and shared accountability for measurable business results.

Summary

This ebook introduces DARE: Design, Activate, Realize, Evolve. Built for the AI era, DARE replaces adoption-focused engagement with an outcome-driven model that helps providers assess readiness, create early value, sustain results, and continuously optimize performance. It also explains the DARE Progressive Continuum, a four-level pathway for evolving from a tool vendor into an outcome-oriented partner.

Key takeaways

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LAER can’t sustain the AI outcomes economy

AI's hidden complexity—data quality, integration, governance, operational debt—demands more than land-and-expand.

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DARE redefines the customer lifecycle around outcomes

DARE replaces account expansion with a lifecycle built on readiness, early wins, measurable value, and continuous evolution.

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Service-led growth is the new path to AI profitability

In the AI era, forward deployed engineers, managed services, and governance experts aren't support—they're the growth engine.

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Vector (1)

I find the information to be extremely helpful to CDW, even when we are looking at other industries with similar subscription and services models.

Vector (2)
CJ Steiner, Director of Integrated Services, CDW

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