Operator → Orchestrator

A ten-week intelligence infrastructure engagement

Stop being the bottleneck in your own business.

In ten weeks, turn one high-value operational bottleneck into a working AI-native system built around the way you actually work.

Apply for the January 25, 2027 kickoff See the proof

One primary client for the 2027 delivery window · January 25 – April 4, 2027

The operator loop

You already know your business.

You may already use ChatGPT, Claude, Zapier, Notion, or a stack of other software. Yet you are still the person reviewing every document, drafting every first version, tracking every exception, remembering every deadline, and carrying the whole operation in your head.

The problem usually isn't a lack of tools. It's the absence of an operating system for the business: a clear workflow, structured knowledge, the right AI capability at the right moment, and a practical path from prototype to everyday use.

The shift: from “I have to do it all myself” to “I orchestrate what matters.”

The proof case

Tony Westbrooks, Formula Law

The method comes from an eight-week engagement with a solo attorney, followed by transition and next-phase planning. We built and integrated more than twenty tools and systems — a Document Scanner, an LPOA application, an Engagement Letter Generator, a Bulk Watermark Tool, approval workflows, a Case Closer prototype, AI integrations, a Transformation Tracker, and a Legal Social Feed concept.

Operational work

6–8 hrs/day

1.5–2 hrs/day

Active case capacity

15–20 cases

25–35 cases

Estate-plan documents

2–3 days

~45 minutes

Engagement letters

2–3 hours

~15 minutes

Scope delivered

13 scoped items

22+ deliverables

Anxiety

Constant

“All but disappeared”

These are Tony's reported results from his engagement — case-study outcomes, not promises or guarantees. Your results depend on your workflow, data, participation, decision speed, adoption, and the economic value of the work being transformed. Your baseline and success measures get defined in Week 1.

The ten weeks

January 25 – April 4, 2027

Weeks 1–2January 25 – February 7, 2027
Diagnose and design
Kickoff and workflow excavation: target outcome, current workflow, the most expensive friction points, real examples, and how success will be measured. Then the intelligence architecture — system boundary, information flows, data, AI tasks, human approvals, risks, and a prioritized build sequence.
Weeks 3–6February 8 – March 7, 2027
Build and integrate
Structure the knowledge, documents, prompts, and decision logic. Build the smallest useful version of the primary tool and test it against real work. Connect it to the surrounding workflow — intake, documents, approvals, notifications, downstream outputs. Then harden it across realistic cases and exceptions.
Weeks 7–8March 8 – March 21, 2027
Validate and operationalize
You use the system in actual work. We observe friction, measure early results, correct failure modes, separate what creates value from what merely demos well, and establish the operating habits that make it stick.
Weeks 9–10March 22 – April 4, 2027
Transition and next-phase planning
Documentation, access and ownership, an operating playbook, baseline-versus-current metrics, and a sequenced roadmap for what to stabilize, what to build next, and what should not be built yet.

Monday–Sunday delivery weeks. The exact calendar can be adjusted in the engagement agreement if your operating cadence requires it.

What you receive

Working infrastructure, not a deck.

Workflow map and opportunity brief

Makes the current process visible and names the highest-leverage intervention.

Intelligence architecture

Defines the knowledge, data, prompts, models, rules, and approvals the system needs.

One primary working application

Converts the priority idea into a usable product or internal tool.

Supporting automations and integrations

Connects the new system to the way you already work.

Knowledge and prompt system

Captures your expertise so the system produces consistent, useful output.

Measurement dashboard

Establishes a baseline and records time, capacity, adoption, and quality.

Documentation and operating playbook

So you can run and improve the system after the engagement.

Transition and next-phase roadmap

What to stabilize, what to build next, what to leave alone.

The build is shaped by the workflow that creates the greatest practical leverage — not a fixed feature list applied regardless of need.

This is for you if

You can name a process that eats significant time or creates recurring risk.
You understand the work deeply and can judge quality and exceptions fast.
The person who owns the outcome participates in the weekly work.
You're willing to test prototypes in real work instead of waiting for perfect.

This isn't for you if

You want a consulting report rather than working software.
You want an off-the-shelf subscription with no participation.
You want guaranteed results without providing real examples or decisions.
You need large-scale enterprise software engineering or regulated legal advice.

Why this works

Intelligence infrastructure, not another vendor.

It begins with the workflow, not the technology.

The first question isn't “which AI tool?” It's “where is expertise trapped in repetitive work, and what changes if that expertise is available at the right moment?”

It builds systems, not isolated features.

A document scanner is useful. A document scanner connected to intake, risk analysis, case setup, approvals, and next steps is transformative. The leverage lives in the connections.

It's fast without being careless.

Reach useful prototypes quickly, test them against real work, and improve them through evidence rather than opinion.

You keep ownership and understanding.

You get documentation, operating practices, and a roadmap — not a dependency on an opaque black box.

Investment

A fixed-fee, ten-week private engagement.

Engagement fee: $25,000–$40,000, depending on workflow complexity and integration requirements
Payment schedule: 50% at signing, 25% at the start of Week 5, 25% at transition completion
Optional continuation: $3,000–$7,500/month for optimization, new builds, and ongoing infrastructure
Capacity: One primary client for the 2027 delivery window
Not included: Enterprise-scale software engineering, regulated legal advice, unlimited revisions, unbounded integrations

Final price and terms are confirmed in the proposal after the workflow diagnostic, once complexity, integrations, data handling, and support needs are understood.

Fair questions

Before you apply.

Can't I just use ChatGPT?

ChatGPT can be one component. The bottleneck is usually the workflow around it: what information is available, how outputs get checked, where the work goes next, and how it fits your operation. This engagement builds that surrounding infrastructure.

Will this automate my entire business?

No responsible engagement promises that. The goal is one high-value workflow, something genuinely useful built around it, validated in real work, plus a clear path for the next phase.

What if the first idea changes?

The process is designed to learn. Weeks 1–2 establish the problem and architecture; the following weeks use real feedback. The scope stays focused, but the solution is allowed to evolve when evidence supports a better direction.

Do I need to be technical?

No. You need to understand your work deeply, provide real examples, decide quickly, and participate in testing. The technical implementation is the service.

Will I own what gets built?

Ownership, access, and any third-party terms are defined in the engagement agreement before work begins. The model is to leave you with usable infrastructure you understand.

Apply

Bring the workflow that's keeping you trapped in operator mode.

The first step is a 45-minute workflow diagnostic. We'll identify the bottleneck, estimate the potential leverage, and determine whether a ten-week build is the right intervention. If it isn't, the recommendation will be not to proceed. This takes about ten minutes to complete.