90-Day AI Sprint

A focused 90-day engagement to improve one important workflow.

Improve one important workflow while building the knowledge, practices, and internal ownership your team can reuse.

One agreed workflow is the default scope. Agents are an option when the work needs them. Agent count does not define the purchase.

Book a Call See scope and deliverables

Offer and Fit

Built for a team that can name the slow work and join the rebuild.

The sprint fits when you have a workflow that is actually slow or expensive, an internal owner who can participate, and access to the systems that work already uses. I work with architecture, engineering, and construction teams, and with manufacturing, distribution, and other operations teams when the work is similar.

This is not a company-wide transformation program and not a promise that every team becomes a full AI-native company. We match complexity to the need, keep people in control where the work requires it, and leave a reusable foundation for the selected workflow.

Scope and Deliverables

One defined workflow, plus what your team can reuse.

Default scope is one agreed workflow. Ranked next opportunities come from that discovery, not from a company-wide audit. Integrations are subject to access and feasibility.

Default sprint deliverables for one selected workflow.
Deliverable	What you have
Selected workflow and baseline	One agreed workflow, plus the baseline we will use to review the result.
Implemented solution	A working path for that workflow, built with your team and fitted to the systems we can access.
Prepared internal owner	Someone on your side who can run daily use and routine exceptions.
Results review	A review against the agreed baseline. We look at quality, adoption, and operating cost alongside speed.
Ranked next opportunities	A short ranked list from the scope we agreed to explore. This is not a company-wide audit.

What the sprint leaves behind

Maintained context

The facts, files, and decisions the selected workflow needs, kept where the work can reach them.

Reusable instructions

Clear instructions for how the new path should run, so the next similar job does not start from scratch.

Evaluation examples

Examples your team can use to judge whether an output is good enough to send or must be revised.

Prepared internal owner

An owner who can operate daily use and decide when something needs a person.

The Plan

Prioritize, build, and prove as overlapping work.

The three names describe emphasis, not sealed phases. Discovery, building, testing, and practice run across the ninety days so the team is not waiting until the end to touch the new path.

Prioritize

We name the desired outcome, question steps that no longer earn their keep, and set a baseline for the selected workflow. Discovery looks past only the familiar tasks when a quieter step is where the time actually goes. Your owner is in these conversations from the start.

Build

We rebuild the path, keep maintained context in reach, and put review where the work needs a person. Your team practices the new work on live examples. Testing and participation continue here. They are not saved for the last month.

Prove

We review quality, adoption, and operating cost alongside speed. Financial return is discussed only when costs and benefits can be established. The same owner who practiced the work helps evaluate whether it is ready for daily use.

Human Control

Decide where AI helps and where people stay in control.

We expand automation when the results justify it and keep human review where the work requires it. We agree when the tool may act, when it may only look, and when we pull that back.

These four levels are choices for a given piece of work. They are not a ladder every team has to climb, and more automation is not always better.

We match complexity to the need. You do not have to become a full AI-native company, and not every leader needs to become a developer. We judge quality, usefulness, cost, and adoption, and we leave room to experiment.

Human-led

A person does the work. AI is not in this path.

AI-assisted

AI drafts or finds material. A person decides what to use.

Approval-based

AI prepares an action. A person approves it before anything is sent or changed.

Automated

The tool acts inside agreed limits. People review exceptions.

Participation and Measurement

Your owner stays in the work. We measure against a baseline we set together.

An internal owner from the start

You name someone who lives in the workflow. They join discovery, practice the new path, and help evaluate whether it is ready for daily use.

A baseline we agree on first

We capture how the selected workflow runs today before we change it. That baseline is what the results review uses. There is no universal financial-return promise.

Practice, evaluation, and judgment

Training is not only watching me build. Your team practices the work, evaluates outputs, and decides when a person still needs to act.

Illustrative Example

An example of what we can improve

Illustrative workflow. This is not a client case study and does not report measured results.

Quote preparation is a familiar place where time hides. A request arrives. Someone hunts specs, past quotes, and pricing notes. They draft a response, wait for a review, and send it. The delay sits in search, re-entry, and waiting, not in the judgment that should stay with people.

A redesigned path can keep the same systems and still change the process. Context stays available. Instructions can be reused. People still decide what is good enough to send. This table is a teaching picture of that idea, not a promise of a result.

Illustrative quote-preparation path. Not a client project and not a measured result.
Step	Common today	Redesigned path
Request arrives	An email and a pile of attachments.	The same intake, with a clear place for the request to land.
Gather context	Someone searches folders, old quotes, and chat threads.	Maintained context for this workflow is ready to use.
Draft the response	The next quote is rebuilt from leftover files.	A draft starts from reusable instructions and the current request.
Review	An informal pass when someone has time.	A person reviews against evaluation examples before anything goes out.
Send	Manual send after the last edit.	A person sends it, or approves a prepared send.

After Day 90

Ownership for daily use, with support boundaries we review together.

Your internal owner can operate daily use and routine exceptions. Technical maintenance may still be needed. We do not promise complete operational independence from that maintenance.

If we continue, the next workflow can reuse the context, instructions, and evaluation examples from this one. That is a choice, not an automatic next purchase.

FAQ

Questions worth answering first.

What is in scope for the 90-Day Sprint?

One agreed workflow is the default. We implement a solution for that workflow, prepare an internal owner, review results against an agreed baseline, and rank next opportunities from the discovery we scoped. This is not a company-wide audit, and agent count does not define the purchase.

What does the sprint leave behind?

A working solution for the selected workflow, plus maintained context, reusable instructions, evaluation examples, and a prepared internal owner. That foundation is proportionate to the workflow we chose. It is not a company knowledge platform.

How do you decide how much to automate?

We expand automation when the results justify it and keep human review where the work requires it. We agree when the tool may act, when it may only look, and when we pull that back. The four levels are choices, not a ladder every team has to climb.

How do you measure success?

We set a baseline for the selected workflow before we change it. The results review looks at quality, adoption, and operating cost alongside speed. Financial return is discussed only when costs and benefits can be established.

Who owns the work after day 90?

I own the implementation and the commitments in the engagement. Your internal owner owns ongoing business use and the decisions that follow from it. We review software, maintenance, and support needs so those lines stay clear. Daily use and routine exceptions can sit with that owner. Technical maintenance may still be needed.

Do we need technical people on our side?

You need an internal owner who knows the workflow and can participate. I handle implementation during the engagement. Integrations depend on access and feasibility.

Still exploring? Start with the AI assessment.

Start With a Conversation

Tell me which workflow is worth ninety days.

Bring the work that is actually slow or expensive. I will tell you honestly whether it is a good first sprint.

Book a Call

Prefer email? bg@polrai.com