Flagship Offer

Build the first working workflowswith the team in the room.

The Team Intensive is the main implementation offer. It is where tools get installed, workflows get built on live business context, and the team leaves with shipped output instead of abstract plans.

This is the anchor offer because it creates the clearest before-and-after change in the shortest amount of time.

Book a Team Intensive See the 90-Day Sprint

Half-day or full-day

Choose the scope that fits the urgency, team size, and workflow complexity.

Built on live company context

The day is grounded in the client’s files, systems, and repeated work.

Outputs before the day ends

The point is shipped work, not a backlog of suggestions.

What Happens During The Day

Install, build, review, and hand off.

The Intensive is designed to create real change quickly and visibly.

01 Install

Set the runtime and context

Get the tools, context, and workflow inputs in place on the right machines.

02 Build

Work on live files and tasks

Use the team’s actual work to build the first repeatable workflows.

03 Review

Add guardrails and human review

Make approval rules explicit before the workflow touches sensitive work.

04 Handoff

Train the team on the new pattern

Leave with examples, outputs, and the next steps already defined.

This is the fastest route from curiosity to operational change when the team already knows the work needs to move.

Proposal and client-communication workflows

Document review, SOP creation, and reporting routines

Inbox, scheduling, and operational follow-up patterns

Meeting summaries, handoff notes, and workflow documentation

Risk review on contracts, PDFs, and recurring admin work

Role-specific skills the team can keep using after the session

Best fit

The owner wants the team to move now, not “eventually”

There is at least one workflow with obvious friction and repeated volume

The team can bring real files, examples, and decision-makers into the session

Not the right fit

The goal is a custom software build that needs engineering depth

Nobody can bring live business context into the room

The team only wants a generic AI overview with no implementation expectation