Overview

Challenges

Traditional SaaS models are failing in the face of advanced AI capabilities, necessitating a new approach. This report introduces forward-deployed engineering (FDE), a model that, when implemented effectively, promotes an outcome-driven, services-led growth strategy.

Summary

The article discusses the transformative impact of artificial intelligence (AI) on the technology industry, marking a shift from the 'Software Is Eating the World' era to one where 'AI Is Eating the World, and Implementation Is Eating the Value.' It highlights the challenges of realizing business outcomes from AI and the necessary transition to a forward-deployed engineering (FDE) model. This model signifies a shift towards a services-led growth approach, where hybrid engineers work closely with clients to develop bespoke solutions that ensure value delivery.

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Included in the full report

Shift from SaaS to AI Economics:

The traditional SaaS model is ineffective in the AI era; success is measured by realized business outcomes, not merely feature adoption.

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Role of Forward-Deployed Engineers:

FDEs embody a new model of embedding elite engineers within client organizations to create tailored solutions and drive integration.

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DARE Engagement Framework:

The DARE model (Design, Activate, Realize, Evolve) replaces LAER, focusing on deep consultative engagement and continuous evolution of solutions.

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Three-Phase Evolution for Scalability:

Organizations must progress from artisan-level bespoke solutions to standardized offerings before scaling through partnerships.

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Mastery Before Momentum:

A disciplined approach of mastering implementation allows for future scalability; organizations should focus on deep, bespoke solutions before aiming for wider automation.

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Publication date:

January 26, 2026

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