Dallas sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers - none of those are details our default AI efficiency audit template would catch.
AI efficiency audit that lives in your stack, not on a vendor's roadmap. Shipped from Texas.
Our goal is to give Dallas businesses a three-day weekend, so people can spend more time with their families and the people they love :)
What AI efficiency audit actually does
A two-week audit that maps your team's actual time spend, finds the 5 highest-leverage AI plays, and ships the first one. No vapourware, no 80-slide decks - just one working thing.
- 01 Time-and-motion review of your top 5 workflows
- 02 Ranked AI opportunity list - ROI, effort, risk
- 03 One pilot shipped in week two, not a six-month roadmap
- 04 Fixed price, fixed scope, kept honest
Built on: Claude Notion Loom Linear Vercel
Without Kiwi Dynamics
With Kiwi Dynamics
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI efficiency audit runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for Dallas businesses first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI efficiency audit compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
The pattern across Dallas engagements we've shipped.
- Dallas-Fort Worth runs on corporate headquarters, logistics and financial services - AI here means matching the pace of a metro that's absorbed more corporate relocations than almost anywhere else.
- One of the biggest concentrations of Fortune 500 headquarters in the country, a major logistics and distribution hub, and a financial services sector that keeps growing. Dallas businesses want AI built for scale from day one.
We work with teams across Dallas: Downtown Dallas · Uptown · Plano · Frisco · Fort Worth · Irving.
Talk to us about this →
How we build AI efficiency audit for a Dallas team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Dallas business, so value lands before the build is finished. Find AI wins fast.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Dallas businesses the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for Dallas teams
The shape of the result for Dallas teams: Average pilot saves 8 hours/week within 30 days of launch. Built on Claude, hardened with the rest of the stack as it scales.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
What's the smallest engagement you'd take on?
A two-week paid discovery for Dallas businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Can you walk us through a comparable build?
Yes - on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Average pilot saves 8 hours/week within 30 days of launch.
What tools do you build AI efficiency audit on?
For AI efficiency audit we usually reach for Claude, Notion, Loom, Linear, Vercel. We're tool-agnostic at heart - we pick what your Dallas team can actually run after we hand the build over, not what looks good on a vendor sticker.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.