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Private company engagement

The Work System Build

Build a portfolio of AI-powered Work Systems, beginning with a bounded quick win and moving into more complex work as your team learns the method.

The operating structure

Start with a quick win, then use each working session to take on more complex work.

The target is two to four functioning Work Systems. The final number depends on the work selected, the quality of the source material, and the testing each system requires. Every build stays inside the AI environment your organization has already approved.

The anatomy of an AI-powered Work SystemFive operating parts. One human control layer.
01

Instructions

The rules for the work

Purpose, boundaries, standards, methods, and a clear definition of good work.

02

Give AI a brain

Trusted company knowledge

Approved procedures, examples, templates, terminology, history, and source material.

03

AI Crew

Who prepares the work

Role-specific assistants with defined inputs, outputs, owners, and stop conditions.

04

Workflow

How work moves

Triggers, handoffs, review gates, exceptions, decisions, and the released output.

05

Automation

What can run on its own

Scheduled work, alerts, and connected actions added after the manual system is reliable.

06 / Human in the loop

People own the system.

AI works within clear boundaries.

Human control layer

A named owner maintains the company brain, handles exceptions, approves the output, and improves the system.

How the work moves
Work arrivesAI preparesA person reviewsOutput is releasedThe system improves

What working means

The engagement ends with operating assets your team can use and maintain.

A working system portfolio

The target is two to four functioning Work Systems, beginning with a bounded quick win and progressing into more complex work.

Role-specific AI Crew

Each system includes the AI roles it needs, with a defined job, clear input and output requirements, and a named human owner who knows when the work must stop.

A reusable company brain

Approved procedures, examples, templates, terminology, and rules are organized so they can support more than one system.

Review and exception rules

Written decisions about who checks the work, what authorizes release, and what happens when something falls outside the boundary.

A named system owner

One person with the authority and responsibility to maintain the company brain, resolve exceptions, and improve the system.

A prioritized backlog

Three to five additional workflows scored and sequenced, with candidate owners identified for the next build.

Capability transfer

Everything needed to build the next Work System stays with your team.

The templates, decision rules, build sequence, review method, and maintenance cadence become your recipe. Your team can take the next bounded workflow through the same process without starting over.

The build sequence

Each working session adds a system or advances a more complex one.

Time between working sessions gives the team room to test each system beside the current method, bring back corrections, and prepare the source material for the next build.

SESSION 00

Sequence the build portfolio

We compare candidate workflows, select a bounded quick win, sequence the next two or three builds, name the owners, and confirm the company’s approved AI environment. Session Zero is included in the engagement price.

SESSION 01

Complete the quick win

Your team maps a tightly bounded piece of work, assembles the approved knowledge it needs, configures the AI Crew, and tests the output on real examples. The first system establishes the build pattern.

SESSION 02

Build with deeper company context

The second system draws on more procedures, examples, standards, or historical work. Your team reuses the first build’s structure and learns how to prepare a stronger company brain.

SESSION 03

Add handoffs and exceptions

The next build introduces more roles, decisions, review gates, and exception paths. The team learns how to keep the work moving while people retain approval and release authority.

SESSION 04

Complete the portfolio and transfer the method

We complete or advance the highest-value remaining system, standardize the build template, confirm ownership, and document the correction path. The final portfolio and prioritized backlog stay with your team.

Who needs to be involved

Three named people keep the build connected to the operation.

Executive sponsor

Approves the system selection, its boundary, and the release decision. Fully participates in Sessions 1 and 4.

Operational owner

Owns one or more finished Work Systems and participates when that work is being built. Each system needs someone willing to maintain it after the engagement.

Builder or functional champion

Completes the hands-on configuration and live testing between sessions inside the approved company platform.

Strong first builds

Choose visible work with a willing owner and a human review point.

Quotes

Intake, similar-quote research, input packaging, estimating support, and the review path before release.

Training

Process capture, facilitator materials, role-specific guidance, and knowledge that remains after someone leaves.

Follow-up

Supplier commitments, project status, meeting actions, exceptions, and a consistent queue for the owner to review.

Common questions

What companies usually want to know before the discovery call.

How is the engagement structured?

The starting structure includes Session Zero, four two-hour working sessions, and a 30-minute follow-up 30 days later. Sessions can run weekly or include testing time between them. We can expand the scope when the selected work requires a longer engagement.

How many systems will we build?

The target is two to four functioning Work Systems. We start with a bounded quick win and add complexity as the team learns the method. The final number depends on the work selected, the quality of the source material, and the testing each system requires.

Which AI platform do we need?

We build in the platform your company already approves. That may be Microsoft Copilot, Claude, or ChatGPT. The engagement stays inside one approved environment so the work can go deep enough to be useful.

Does the engagement include software integration?

The base engagement builds the operating system around the work. Scheduled tasks may be added when the platform, permissions, source connection, and output are ready. Event-driven integrations across ERP, MES, and other systems require separate technical scoping.

Can the sessions be on-site?

Yes. Virtual delivery is standard, and on-site delivery is available by request. Travel and related costs are scoped separately.

What makes a good first workflow?

The strongest candidates happen frequently, contain a meaningful amount of preparation work, have source material that can be reviewed, produce visible results, and already have a willing owner.

Start with the work your team is tired of rebuilding.

The discovery call is free. We will discuss the bottleneck, the likely owner, and whether the Work System Build is the right level of support.