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Dan Rye

Managing Partner

Dan Rye is Partner and CTO at Tensure, with more than 20 years of engineering leadership behind him. He guides global delivery teams and the organizational change that comes with platform engineering and agentic AI adoption.

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Dan Rye

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Dan Rye
Agentic AI Workflow Governance in Fintech for 2026
Dan Rye

Agentic AI Workflow Governance in Fintech for 2026

Why fintech teams struggle to govern agentic AI development workflows, and how to build delivery, compliance, and operational controls into the platform so governance stops costing you velocity.

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Dan Rye
You're Paying Twice for the Same Code
Dan Rye

You're Paying Twice for the Same Code

Duplication is up 81% and refactoring has nearly stopped across 623 million code changes. The mechanism isn't lazy developers. It's that your agents can't find the abstraction you already built.

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Dan Rye
Your First Agent Program Should Be One Workflow Wide
Dan Rye

Your First Agent Program Should Be One Workflow Wide

Most agent pilots stall because they were scoped as programs. Ship one workflow, one team, spec to production, with the governance floor in from day one.

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Dan Rye
The Code Step Collapsed. Your Delivery Probably Didn't.
Dan Rye

The Code Step Collapsed. Your Delivery Probably Didn't.

Half of surveyed engineers ship AI prototypes to production in hours. Two in five hit agent problems daily. A platform engineering read on where the bottleneck actually moved.

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Dan Rye
The Complete Guide to IDP Scale in Fintech for 2026
Dan Rye

The Complete Guide to IDP Scale in Fintech for 2026

How fintech engineering teams scale internal developer platforms past the pilot: rollout sequencing, brownfield migration, golden path portfolios, platform team design, and what breaks at each stage.

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Dan Rye
10 Reasons Fintech Agentic AI Workflows Stall
Dan Rye

10 Reasons Fintech Agentic AI Workflows Stall

The operational, compliance, and platform barriers that keep fintech teams from scaling agentic AI development workflows past the pilot, and what readiness looks like on each.

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