From AI Governance to AI Value Assurance: Why Enterprises Need to Govern Value, Not Just Risk A governance framework answers one question perfectly (Can we trust it?) but leaves a
Agentic AI Architecture for Enterprise Scale: Design Before You Build Most organizations building agentic systems treat architecture as an afterthought.
Thanks to everyone who joined our recent webinar and kept the chat buzzing with questions! Missed the session or want to watch it again? Catch the full recording here.
Many practitioners spend years working on Customer Decision Hub (CDH) implementations. They have deep technical expertise, understand the platform inside out, and have successfully delivered complex solutions for their clients.
Pega’s Blueprint Delivered methodology positions Blueprinting as the starting point for every application build, transforming business ideas into executable, outcome-driven application designs.
There’s a lot of people out there, myself very much included, talking about what Blueprint does. We preach faster output, less rework, so on and so forth. That’s all cool and they’re great if you’re playing buzzword bingo, but I’ve been realizing that at least for me, that’s not
Receive & Route: From Intake Automation to Predictable Enterprise AI Enterprise AI becomes valuable when it can turn ambiguous demand into governed work.
When people talk about digital accessibility, they often think about compliance checklists, audits, and regulations. Those things matter, but they're not the reason we're excited about accessibility in Constellation.
Agentic AI Best Practices – Designing Humans in the Loop (HITL) How to combine agentic reasoning, human oversight, and governed case management in enterprise workflows
On July 16, 2026, the Pega as-a-Service Expert Circle hosted its Quarterly Release & Roadmap webinar — a 45-minute session packed with product updates, infrastructure news, and a look at what's coming next.
I've seen this pattern play out more times than I can count. A client or potential client wants to modernize something. The subject matter experts want a better way of getting their work done. The platform team thinks you're a fit.
In my last article, I introduced the AI Workflow Autonomy Spectrum — two spectrums, not one.
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