From AI Pilots To P&L Impact
We automate the operational work nobody wants to look at. Intake, documentation, research, reporting. Your team gets its week back for the client-facing work only they can do.
Where To Start
Most companies aim AI at the wrong half of the business.
Almost everyone starts in the same place: the customer-facing thing. The chatbot on the website, the sales assistant, the marketing copy. It's visible, it demos well in a board meeting, and it's where all the noise is. It also carries the most brand risk and the least countable return.
Meanwhile the real drag on the business sits somewhere nobody wants to look. Intake. Documentation. Research. Reporting. Rekeying the same data between three systems. Chasing approvals. Nobody is proud of this work, it never makes the strategy deck, and it quietly eats a third of your team's week.
That's the work AI is actually good at. High volume, judgment-light, and reviewable. If the first pass is wrong, a person catches it before it reaches anyone outside the building. Low risk, and the return shows up in hours you can count.
Clearing it buys the thing that matters. Your people get their time back for the client-facing work: the relationship, the hard conversation, the judgment call that needs a human in the room. That's the part AI is worst at and will be worst at the longest. Most companies have the sequence exactly backwards. Automate the boring half so your team can spend its week on the half only they can do.
What We Do
Set the strategy. Then go build it.
Most firms do one or the other. The strategy shop can't ship and the dev shop never watched how your business actually runs. We do both, with the same team.
Our Process
Strategy that actually ships.
We watch how the work really happens before we change any of it. Nobody can describe their own workflow accurately, including you.
Shadow the Work
We sit with your team and watch how the work actually gets done. Every click, every copy-paste, every workaround nobody ever wrote down. A process map describes the official version. Shadowing shows you the real one, and the gap between them is where the hours are hiding.
Size the Opportunity
Every candidate workflow gets scored on volume, hours consumed, error cost, and difficulty, then measured as it stands today. You get an honest ranking, including the workflows we recommend leaving alone.
Build and Adopt
Squads ship working software into your environment on a continuous cadence while we redesign the process around it and train the people who work in it. Tools nobody adopts are worse than tools you never bought.
Prove the Return
We report against the baseline on a fixed cadence. What moved, what didn't, what we're changing next. When something isn't working we say so and reallocate the effort rather than defending it.
Why A/01
Everything a consultancy promises, actually delivered.
Weeks, Not Quarters
A strategy engagement runs three to five weeks. Anything longer produces a document that's stale before it's delivered, and burns the quarter you could have spent building.
Priced on Outcomes
Engineering squads are billed as a monthly subscription against features delivered, not hours logged. If the work takes longer than we scoped, that's our problem rather than a bigger invoice.
Measured Against a Baseline
We instrument your cycle times, cost per unit, and throughput before touching anything. Every claim we make afterward gets checked against that number, including the ones that disappoint.
One Team, Audit to Production
The people who run your audit are the people who build the systems. No handoff to a delivery org that never sat in the room, and no strategy deck from a firm that doesn't ship code.
Adoption Is Half the Job
We redesign the workflow and train the people inside it, with a champion in each function who owns it after we leave. Software nobody adopted is worse than software you never bought.
Engineering First, AI Second
15+ years shipping production systems across fintech, legal, and healthcare, including HIPAA-regulated and on-premise deployments. Reliable software, not science projects.
How We Engage
You pay for what actually ships.
Engineering runs as an outcome-based subscription. We scope the features and the acceptance criteria up front, then price against that. It only works because we scope carefully.
The traditional agency
- Bills by the hour, so taking longer pays better
- Junior staffing padded onto a senior invoice
- Layers of account management between you and the code
- Big-bang delivery, with the first real look at the end
An A/01 squad
- Monthly subscription priced against features delivered
- A small senior team, and you talk to the people building
- Overruns are our problem, not a bigger invoice
- Working software in your environment on a weekly cadence
Everything we build is yours from day one. Your repositories, your infrastructure, documented for your team. Keep the squad as ongoing capacity or take it in-house.
Case Studies
Measured Impact.
Shipped into production. Measured against real baselines. No pilots that quietly ended.
Ready to get started?
Let's find where AI actually pays off.
Book a 30-minute call. No pitch deck. Just a straight read on which of your workflows are worth automating, which aren't, and what moving on them would cost.