No AI transformation roadmaps.
You don't need a 50-page deck. You need one workflow that works.
AI that works on Tuesday morning.
No consulting theater. No transformation decks. Just AI that fixes real workflows and gets used in the real world.
Based in Indianapolis. Working across the US.Inputs
EmailsCallsDocsCRMSpreadsheetsMessy workflow costing your team time and money.

Outputs
IntakeQA / ReviewSearchAutomateReportClean workflows. Better decisions. Measurable impact.
You don't need a 50-page deck. You need one workflow that works.
Find the problem, build, test, and improve. Fast enough to learn something real.
Straight answers, clear tradeoffs, and systems your team can use.
Services
Start with the buyer, the leak, and the first useful step. The tool choice comes after that.
Owners and operators who want a private AI assistant connected to real company tools, not another chatbot tab.
Founders, COOs, and finance leads who suspect money is leaking through recurring spend, vendor drift, or expensive manual work.
Service businesses, clinics, agencies, and sales teams that lose leads or staff hours because the phone still controls the day.
Teams with one painful workflow that touches inboxes, forms, spreadsheets, docs, CRMs, or support queues every week.
Messy workflows
The best first AI project usually has a nickname already. It is the inbox, spreadsheet, call queue, report, or handoff everyone quietly works around.
01
Customer requests, vendor notes, and internal follow-ups pile up until the loudest thing gets handled first.
Route it, classify it, draft the response, and keep a human in the approval loop.
02
One fragile file runs pricing, reporting, scheduling, or forecasting, and only one person knows where the formulas are buried.
Turn the repeated steps into a workflow with validation, audit trails, and less copy-paste.
03
Sales, support, and service calls contain risk and insight, but only a tiny sample ever gets checked.
Score every call, flag exceptions, and send reviewers only the calls that need judgment.
04
Everyone knows who to ask, which means that person becomes the search engine for the whole company.
Build private search over docs, SOPs, tickets, notes, and decisions people already trust.
05
Forms, emails, PDFs, and notes arrive messy, then someone turns them into clean CRM or ticket data by hand.
Extract the useful fields, ask for missing info, and create structured work in the right system.
06
The same dashboards, screenshots, summaries, and explanations get assembled manually every week.
Pull the inputs, draft the narrative, highlight exceptions, and let humans edit the final story.
Recent engagements
Call QA
Local AI scoring pipeline with human review for borderline calls.
Intake to quote
Extract, validate, and route customer requests inside the tools the team already uses.
Internal search
Private knowledge assistant over company docs, SOPs, and operating notes.
Process
Four weeks. One workflow. Honest answer at the end.
Week 1
Pick one workflow. Map inputs, owners, tools, and failure points.
Week 2
Prototype against real examples from your business, not fake demo data.
Week 3
Tune outputs, edge cases, handoffs, and review steps with the people doing the work.
Week 4
If it saves time, ship it. If it doesn't, stop pretending.
FAQ
Pick the workflow that eats your team's time every week and tell me who owns it. Intake, quoting, QA review, drafting, follow-ups, internal search. If you can describe the pain in one sentence, we have something to work with.
Most first projects run four to eight weeks. That covers understanding the workflow, building a version that holds up on a Tuesday morning, testing it with the people who will use it, and deciding what comes next.
I live in Indianapolis and I prefer working with local teams. I grab coffee, I whiteboard in person, I learn your context. I also work with remote teams across the US. If you are in the 317, even better.