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AI Workflow Sprint

Fix one workflow first. Ship a working improvement fast.

The AI Workflow Sprint is a tightly scoped build for businesses that already know one part of the day is too manual, too slow, or too easy to drop. It turns one real bottleneck into a better working system.

Good fit projects

Strong for narrow workflow pain. Wrong for broad custom platforms.

The sprint is built for one meaningful workflow improvement, with a clear before state, a clear owner, and a first version the team can actually use.

01

Lead intake and response workflows

Good fit when requests are slipping through the cracks, follow-up is inconsistent, or the team is repeating the same admin steps every day.

02

Internal assistant and knowledge workflows

A strong fit when repetitive questions, lookup work, or internal process friction are eating time across the team.

03

Routing, triage, and admin-heavy operations

Useful when one workflow has a clear start, a clear end, and a practical first improvement the team can actually adopt.

What is included

One workflow target. One working version. One clear handoff.

The promise is not that everything gets fixed at once. The promise is that one meaningful bottleneck becomes a better working system quickly.

01

Scope alignment

Define the workflow, the current failure points, the desired outcome, and the minimum version worth shipping first.

02

Working build

Implement the first useful version of the workflow, assistant, or automation with the agreed level of logic, tooling, and testing.

03

Launch and next-step recommendation

Review what changed, what remains out of scope, and whether the right next move is support, a second sprint, or a broader partner relationship.

Pricing and pace

Simple starting point. Carefully scoped with more precision.

The public promise stays simple, while the final scope accounts for integrations, data quality, security, testing, and handoff.

01

Starting at $1,500

A narrow first sprint keeps the scope understandable and gives your team a practical entry point before a larger build.

02

Most projects fit a one to three week window

The exact pace depends on integration count, input quality, and how quickly the team can give access and feedback.

03

Scope protection is part of the offer

The sprint covers one workflow first, not a whole operational transformation under a sprint label.

What comes after the sprint

Keep the next move clear once the first workflow works.

A strong sprint naturally points into either a second implementation lane or Monthly AI Partner support. That keeps the offer focused without making it feel isolated from the rest of the business.