Ideas & Insights

June 26, 2026

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8 minute read

Humans at the Center of AI-Driven Product Work

Jordan Zimmerman
Jordan Zimmerman

As AI makes outputs and artifacts easier to generate, the focal point for market differentiation must shift to the processes defining the outcome: determining which problems to solve, which users to serve, and which ideas are actually worth building.

June 18, 2026

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2 minute read

How Ready Is Your Codebase For Agents?

Lean TECHniques

Getting the gains AI promises takes a codebase that can keep up with the agents. We built the Agent-Ready Assessment to show teams exactly where theirs stands — and what to fix first.

April 23, 2026

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2 minute read

Lean TECHniques Earns Microsoft Solutions Partner Designations in Data & AI and Digital & App Innovation

Lean TECHniques

We’re excited to share that Lean TECHniques has earned two Microsoft Solutions Partner designations: Data & AI (Azure) and Digital & App Innovation (Azure) – giving our clients a stronger path forward on Azure, including access to Microsoft funding for pilots and proofs of concept, direct technical support from Microsoft engineers, and other Microsoft resources.

November 3, 2025

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3 minute read

How to Keep AI on Mission: A Practical Strategy for Smarter, More Reliable Software Development

Patrick Robinson
Patrick Robinson

Agentic software development promises speed, but often leads to scattered results. The RPI Strategy (Research → Plan → Implement) offers a disciplined way to work with AI tools, keeping them aligned to your intent and reducing wasteful outputs. It’s a simple yet powerful framework that makes AI an asset, not a liability, in your workflow.

August 5, 2025

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2 minute read

Microsoft Renews MVP Status for Three Lean TECHniques Team Members

Lean TECHniques

Three Lean TECHniques consultants – Scott Sauber, Alec Harrison, and Daniel Ward – have been renewed as Microsoft MVPs. This recognition gives our teams direct access to the engineers and product teams shaping the tools our clients rely on, a channel to provide feedback that influences those tools, and deeper insight to help clients navigate modern technology challenges.

July 16, 2025

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4 minute read

Real-Time Voice Sentiment Analysis with AI: Understanding and Responding to Emotion as It Happens

Alec Harrison
Alec Harrison

Real-time sentiment analysis for voice uses AI to detect emotional cues – like tone, pitch, and pace – as conversations unfold. Unlike post-call analysis, this technology helps teams respond to emotion in the moment. In a recent proof of concept with a financial services organization, recognizing live sentiment enabled more empathetic, effective interactions. While the tech runs on AI models like STT and NLP, the impact is deeply human: better conversations, stronger connections, and smarter decisions.