Trace the workflow
Identify what starts the work, where information comes from, who makes decisions, and what happens when something goes wrong.
A focused starting point for business automation
The AI Workflow Sprint turns a repetitive business process into a focused automation or internal tool. We start with the work that is slowing you down, define a practical first outcome, and build around the way your business actually operates.
A contained first engagement
You do not need a company-wide AI strategy to improve one painful process. The sprint begins with a task your team can explain: information being copied between systems, a recurring report assembled by hand, a queue that needs sorting, or an internal decision that lacks the right context.
Identify what starts the work, where information comes from, who makes decisions, and what happens when something goes wrong.
Use straightforward automation where rules are enough. Add AI only where it genuinely helps interpret, organize, draft, or evaluate information.
Create a focused first solution, test it against realistic cases, and make the handoff clear enough for your business to use and evaluate.
What the sprint includes
We document the current process, the systems involved, the repeated effort, and the exceptions that could break a simplistic solution.
We agree on the specific result the sprint should produce and what is intentionally outside the first scope.
I build the agreed first version using the approach that fits the problem—an integration, a small internal application, a data-processing workflow, or another focused solution.
We review realistic scenarios, make the outcome and failure states visible, and document what you need to operate or extend the result.
Good fit
This offer works best when a task happens often enough to matter, the people involved can describe the current process, and there is a clear way to recognize improvement.
If an existing product already solves the problem well, I will say so. The goal is a useful result—not custom software for its own sake.
How it works
You work directly with Matt throughout the engagement. Scope, access requirements, timing, and cost are established after reviewing the actual workflow.
Describe the repeated task, the tools involved, and what a better outcome would change.
We examine feasibility, constraints, sensitive data, human approval points, and the smallest useful first version.
I develop the solution in focused iterations and keep the work available for feedback instead of disappearing behind a long specification.
We review normal cases and failures, document the result, and decide whether further work would create enough value.
Before we begin
No. AI is useful for some kinds of interpretation and drafting, but ordinary rules are often more reliable for predictable work. I choose the approach based on the task rather than forcing AI into it.
That depends on the systems, access requirements, data sensitivity, and the first outcome we choose. After reviewing the workflow, I will propose a defined scope, timeline, and price before implementation begins.
That is not the default goal. Many useful automations prepare information, reduce copying, or move work forward while keeping review and judgment with the people responsible.
Describe the task, how often it happens, the tools involved, and what gets delayed or goes wrong today. Do not send passwords, private customer data, or confidential records through the inquiry form.
Start with the bottleneck
Tell me what happens today, which tools are involved, and what the task costs in time or attention. A rough description is enough to begin.
matt@bushidocode.ioPrefer email? You can still contact me directly.