Services

The Growth Framework is a structured way to identify the workflows slowing growth and turn a company’s existing knowledge, examples, and decision-making rules into repeatable ways of working. It helps move important knowledge out of scattered documents and individual employees’ heads and into systems the broader team can use, review, and improve.

The Growth Framework solves the operational problem of teams repeatedly recreating work the company has already done. It is designed for situations where employees search through multiple documents, ask the same people for guidance, or produce work that a senior leader must repeatedly correct. The framework captures those corrections and turns them into reusable instructions and quality checks.

The Growth Framework connects growth strategy with practical AI implementation. It identifies a specific growth process that needs to work better, determines which company knowledge and judgment influence the result, and uses that information to create a tested workflow. The technology supports the process, but the service is built around improving how the company operates.

A company brain is an organized collection of the knowledge, examples, instructions, and decision rules a business uses to perform recurring work. It allows the company’s judgment to remain available for the next employee, project, or customer situation instead of disappearing inside individual conversations and corrections.

A company brain contains the business context and operating rules needed to complete a job consistently. A prompt may tell an AI system what to do once, but a company brain also provides the approved sources, examples, decision criteria, correction history, and instructions for handling missing or conflicting information. The goal is to reduce the need to explain the entire task again in every session.

The service is for companies with recurring growth work that depends heavily on the knowledge or approval of a founder, executive, or experienced team member. It is especially relevant when the same person reviews several deliverables each week, makes similar corrections, or repeatedly provides information that should already be available to the team.

A good candidate is a recurring workflow that consumes meaningful preparation or review time and has a person who can clearly judge the quality of the result. The company should also have previous examples, relevant source material, and someone available to provide feedback. A process performed only occasionally may not justify an implementation project.

The Growth Framework can be applied to recurring work such as proposal development, client onboarding, campaign planning, reporting, and campaign briefs. The first engagement focuses on one workflow so it can be properly documented, tested, and transferred to the team.

A Growth Workflow Assessment examines how a recurring job is currently completed. We identify what goes into the process, what it should produce, which documents and people are involved, where the work gets delayed, what a reviewer repeatedly changes, and what must be checked before the result is considered complete. This establishes whether the workflow is a strong candidate for implementation.

A focused implementation sprint includes one workflow, one primary reviewer, approximately five to ten useful company sources, and three previous examples for testing. The work includes documenting the process, organizing its source material, capturing the reviewer’s decision rules, testing the workflow, correcting identified problems, and teaching a team member how to operate and update it.

A focused implementation sprint takes five working days after the required materials and reviewer are available. Each day produces a concrete result, progressing from workflow documentation and source preparation to testing, team training, and the final handoff.

On the first day, we observe and document how the job is performed. On the second day, we organize the relevant company sources and resolve conflicting information. On the third day, we capture the reviewer’s corrections and turn them into operating rules. On the fourth day, we test the workflow against previous examples and difficult inputs. On the fifth day, a team member runs the workflow in a fresh session and learns how to maintain it.

The client provides the documents, examples, and current information used to perform the selected workflow. The client also designates a reviewer who understands what a strong result looks like and can explain the reasoning behind important corrections. For testing, the implementation uses three previous inputs and the approved outputs they produced.

The workflow is tested against three previous jobs and compared with the approved work the company ultimately used. Errors are classified as wrong facts, missing sections, unsupported claims, poor wording, or other agreed problems. The cause of each miss is corrected before the example is run again.

The workflow is taught to identify missing or conflicting information instead of filling the gap with a confident guess. The client decides which source takes priority when documents disagree. Older examples may still be used for their structure, but they are labeled so outdated facts do not override current information.

No. A person continues to review the output before it is used with a customer or in another important business situation. The purpose is to give the reviewer a stronger starting point, reduce repeated corrections, and make the company’s standards easier for the team to follow.

Yes. The final implementation test requires a member of the client’s team to open a fresh session and run a new example. The handoff explains where the sources live, how to start the workflow, how to update information, how to save a useful correction, who owns the system, and how to get help during the included week of fixes.

The completion criteria are agreed upon before the project begins. The client and consultant define what information the system will receive, what it should produce, who will review it, and what both parties will check before calling the workflow complete. The project is finished when the workflow passes those checks and a designated team member can operate it.

The focused five-day Growth Framework Implementation Sprint is $5,000 to $7,500, matching the 30-Day Growth OS Sprint range. Exact fee depends on workflow complexity and reviewer availability. Payment timing is confirmed at booking. The engagement includes one week of fixes for anything missed within the defined workflow.

Software and model costs are identified separately before the project is booked. The implementation scope and any required technology costs should be made clear in advance so the client understands both the service fee and the tools needed to operate the workflow.

Yes. The initial workflow can become the starting point for additional growth systems after the team has used it in real work. Additional workflows, CRM integrations, work involving multiple departments, and custom software are separate projects and are priced according to their scope.

The initial value is measured by comparing the preparation and review time before and after the workflow is implemented. The follow-up also examines what the team still corrects, whether people are using the workflow, and why someone may have stopped using it. Actual client results are retained to determine whether the workflow delivered useful operational improvement.

Starting with one workflow keeps the engagement specific enough to complete, test, and transfer successfully. It gives the client a working result they can evaluate before considering a larger implementation. It also establishes the discovery questions, quality checks, and handoff process that can be reused in future projects.

The Growth Framework starts with a real growth bottleneck rather than an AI tool. It follows how the work is currently performed, captures the company’s own information and judgment, defines what a successful result must include, tests the workflow against previous work, and transfers ownership to the team. The deliverable is a usable business capability, not an isolated AI demonstration.