Framework The Five Gaps

Find what is stopping the workflow. Then choose the right response.

The Five Gaps explain why AI adoption stalls. They are a diagnostic lens, not a mandatory service sequence. Different workflows may require education, process redesign, quality controls, software configuration, automation, or no intervention.

01 How to use the lens

DIAGNOSE

Start with one recurring workflow.

Look for the specific point where quality, repeatability, ownership, or trust breaks down.

CHOOSE

Match the response to the blocker.

Education, redesign, controls, configuration, and engineering solve different problems.

TEST

Use evidence to decide what follows.

Compare realistic cases with an agreed baseline, then scale, revise, automate selected steps, or stop.

02 The diagnostic

Five different reasons useful experiments fail to become dependable work.

A workflow can be blocked at one gap, several gaps, or none of them. The lens helps frame the question; evidence determines the intervention.

01 Understanding

Gap 01

Awareness

Do people understand what the tools can and cannot do?

What may be happening

People may know that AI exists without understanding its practical limits, data implications, or relevance to a specific piece of work.

What this gap usually requires

Clear, credible education may be enough. Free vendor education, internal guidance, or a focused briefing can help people form a useful mental model before any workflow changes are considered.

02 Practice

Gap 02

Application

Can people use AI reliably inside the work they already own?

What may be happening

General knowledge does not automatically become a repeatable method. Instructions, context, source material, review criteria, and human decisions may still live in one person’s head.

What this gap usually requires

Role-specific practice and workflow design may be appropriate: map the task, define AI and human responsibilities, create reusable context, and test the method on realistic examples.

03 Shared method

Gap 03

Team

Can more than one person run and review the workflow consistently?

What may be happening

Useful methods often remain personal. Quality varies, managers cannot compare approaches, and the work depends on undocumented prompts or individual judgment.

What this gap usually requires

Shared standards, management support, named ownership, common context, review roles, and documented operating methods may be needed before broader adoption makes sense.

04 Operations

Gap 04

Production

Can the workflow operate dependably beyond a controlled test?

What may be happening

A promising prototype may still lack stable inputs, monitoring, exception handling, integration, security review, or a person accountable for its ongoing performance.

What this gap usually requires

Software configuration, engineering, monitoring, failure handling, and operational ownership may be required. Some workflows should remain human-operated rather than automated.

05 Control

Gap 05

Trust

Can the work be reviewed, governed, and defended?

What may be happening

AI-assisted output can create risk when source requirements, approval authority, sensitive-data boundaries, and escalation conditions are unclear.

What this gap usually requires

Evaluation criteria, governance controls, source verification, human review, approval gates, and escalation rules may be appropriate. The client retains accountability for professional decisions.

03 Solution-neutral by design

The diagnosis does not assume the answer.

The same visible symptom can have a different cause in a different workflow. A responsible recommendation stays open until the work is understood.

01

Education

Useful when the blocker is understanding. It may be a vendor resource, an internal briefing, or role-specific practice.

02

Workflow redesign

Useful when the task itself needs clearer inputs, human decisions, context, review steps, or ownership.

03

Controls and governance

Useful when quality, source verification, data boundaries, approvals, or escalation conditions are weak.

04

Engineering—or no intervention

Useful only when the workflow evidence supports it. Some steps may merit automation; others should stay manual or be left alone.

Have a recurring workflow that is expensive, repetitive, or difficult to review?

See the Trusted Workflow Pilot

Choose one workflow to test

Find the blocker.
Measure the right response.

Bring one recurring workflow. We will determine whether it is a suitable candidate for a measured pilot.

30 minutes · No pitch deck · Honest fit check