Beyond the Prompt: Introducing the PICS Framework for AI That Delivers

• 1 Jul 2026
• , 13:00 UTC+1

• Webinar Webinar

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Thought Leadership Webinar Series 2026

The Thought Leadership Webinar Series is a new, member-only initiative launching this year that will spotlight independent, diverse voices across the resilience space. Designed with practitioners at the centre, the series will create an open forum for honest, forward-looking conversations about the issues that truly matter to those doing the work.

Beyond the Prompt: Introducing the PICS Framework for AI That Delivers

Prompt, Intent, Context, and Success Engineering: A Domain Translator's Guide to AI That Actually Works

Most organizations using AI today are stuck on one layer: the prompt. They tell AI what to do, and then wonder why it completes tasks without achieving outcomes, optimises metrics while eroding trust, and makes confident decisions it should have escalated.

The technology is not the problem. The specification is.

In this webinar, Jason Hoss introduces the PICS Framework, a new four-layer model developed by Whirlybird Labs for engineering AI that actually delivers organizational value. PICS stands for Prompt, Intent, Context, and Success Engineering, and each layer addresses a distinct failure mode in how organizations deploy AI today.

The PICS Framework connects directly to a larger concept: the Domain Translator. The Domain Translator operates at the intersection of three pillars: deep domain expertise, AI fluency, and problem selection. This session addresses the first two pillars through PICS. The Prompt and Success layers draw on AI fluency (knowing how to direct and verify AI). The Intent and Context layers draw on domain expertise (the earned context

that only someone who has lived inside the organization can provide). Problem Selection, the third pillar, will be explored in a subsequent session.

Business resilience professionals already practice versions of intent engineering every time they define RTOs, build escalation matrices, and specify recovery constraints. They already practice context engineering every time they scope a BIA or map process dependencies. What they have not done yet is recognise these skills as the exact capabilities the AI era demands or formalise them into a repeatable deployment framework.

Every concept is grounded in practical application. Attendees will leave with a reusable PICS specification template, a governance extension model for mapping existing GRC controls to AI agent oversight, and the vocabulary to lead their organization's AI conversation as the Domain Translator who ensures AI serves purpose.

Learning Objectives

At the end of this webinar, attendees will be able to:

• Apply the four-layer PICS Framework (Prompt, Intent, Context, Success Engineering) to diagnose gaps in their organization's AI deployments.
• Connect PICS to the Domain Translator's three pillars and identify how their domain expertise (Pillar 1) and AI fluency (Pillar 2) map to specific framework layers.
• Build a PICS specification for any AI agent in their resilience program using the reusable template provided, covering all four layers in 15 minutes.
• Recognise and develop Domain Translator capabilities within their teams: the combination of earned context, technical fluency, and problem selection that makes the PICS Framework operational.
• Map existing GRC controls to PICS layers, extending authority matrices, risk registers, escalation procedures, data classification, and audit processes to cover non-human decision-makers.
• Define Success Engineering criteria for their AI deployments, including measurable outcomes, health metrics, verification methods, and feedback loops.

We look forward to welcoming you.

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