W
Prove it works first
Raises W — builds belief
Ship one or two practical, low-risk applications. Show real value. Create internal demand.
The Dissel Frameworkv1.0
Dissel AI Framework for success.
Four factors that determine whether an AI program succeeds.
Primer
What generative AI is, and what an agent adds.
A short shared vocabulary before the diagnostic. Skip if this is familiar territory.
01
Generative AI
Models like GPT, Claude and Gemini turn a prompt into text, code, images or structured data. They are pattern engines: powerful, but stateless. They only know what you put in the context window.
02
AI agents
An agent wraps a model with a goal, tools and memory. It plans steps, calls systems (CRM, database, email, browser), checks its own output and loops until the goal is met, with a human in the loop where it matters.
03
Why it works, or doesn't
An agent only creates value if the work is shaped for it, the systems are reachable, and someone in the business owns the outcome. That is what the four factors below measure.
From here on: four factors that decide whether an agent-based program creates value in your organization.
The framework
Score four factors. See where you sit.
Move the sliders on the left. The dot on the matrix moves with them.
C
Strategic value
How close does this work sit to revenue, margin or the customer?
0.60
Support processesCore processes
W
Work fit
Can the task be shaped for an agent — clear goal, enough context, checkable outcome?
0.55
Fuzzy, hard to checkSharp, verifiable
O
Org capacity
Is there a named owner in the business who runs it after go-live?
0.50
No ownerBusiness owned
F
Foundation
Can an agent read from and write back to the systems that matter?
0.50
Scattered, read-onlyIntegrated, writable
V = C × W × O × F
V ≈ 0.08
Value multiplies. The weakest factor pulls the outcome down; strengthening the lowest score raises value the most.
Readiness matrix
live
↑ highStrategic value (C)low
Ambition ahead of the work
Compounding value
Rebuild neighboring core processes on the same platform.
Experiments in search of purpose
Ready in the wrong place
← lowExecution readiness (W × O × F)high →
Strategic value
0.60
Execution readiness
0.52
Your quadrant
Compounding value
How we apply it
Three horizons. From first proof to core change.
Sessie · ScanWeeks
BuildA quarter or more
O · F
Build a reusable foundation
Raises O and F — enables scale
Connect existing systems and build reusable parts. Let the team build their own agents on top.
SquadOngoing
C
Change the core
Raises C — compounds value
Rebuild core processes around AI. Returns stop growing linearly; the way of working shifts.
Apply the framework