Capabilities, not features.
We build software that gives your business a capability: something it can now do. A forecast your CFO trusts. A close that lands on time. A quote out the same day. Each one is named, bounded and tied to the number it was built to move. AI does most of the building, and a named architect answers for the outcome.
Start with the condition you recognize.
Under each of the four conditions, the capabilities that retire it: fitted to your business, built on the systems you already have, in weeks. Each card runs the way an engagement does: the problem, the capability, one scenario it's tested against, and the outcome.
One person knows how Monday's report gets made.
Forecast capability
Month-end close pipeline
Scheduling from a shared view
The other forty lives in side-tools and a weekly re-import.
Quoting & quote-to-cash
Exceptions worked from one queue
Insurance-claim denials are one version; so is any dispute, chargeback, or rejection pile.
Live cost-to-plan visibility
A construction job is the vivid case; the same applies to any project or program run against a budget.
Integration lives in a person, a CSV and a calendar reminder.
Inbound data without re-keying
A distributor's daily orders are the common case; the same shape fits any high-volume inbound document.
Cash & AR visibility
Trace any item on demand
A food recall is the high-stakes case; the same answers any audit or chain-of-custody question.
Your senior people spend their time reconciling them.
Master-data alignment
Inventory truth across systems
Board & operational reporting
Illustrative — representative scenarios and targets drawn from real mid-market patterns and the worked example, not guarantees. Yours are written in your team's words.
Each capability stands on the one before it: master data and the close first, then forecasting and cash, then reporting. The worked example shows the dependency.
See the worked example →We meet your systems where they are. Whatever shape the data's in.
Every one of those capabilities starts by reaching data scattered across systems that were never meant to talk to each other. The first question operators ask is whether we can get at theirs: the forty-year-old ERP, the SaaS tool that won't export, the screen someone reads by hand every morning. We can. What a system exposes decides the method, and we take the most durable one it offers.
We take the documented path, the API the system was built to be reached through. Durable, high-volume, and unbothered when the data grows.
We read it at the source: the database directly, off a copy so production never feels it, or the scheduled export it can still produce. No modern interface required.
We pull what you're entitled to on a schedule and reconcile it in. The weekly export-and-reimport stops being someone's standing chore.
We operate it the way a person does, reading the fields on screen, so the swivel-chair job runs without the chair.
A named architect picks the method for each system and owns what "correct" means. AI does the reaching and the reconciling, including the messy, ill-formatted tail that rigid integrations choke on. Most of it is delivered by AI. None of it is decided by AI.
Built or bought. Decided on six criteria.
The goal is the outcome, not the software. Sometimes that means software built to your workflow. Sometimes it's the best available component, integrated and made to fit. A named architect weighs every option the same way: against six criteria, with your cost of ownership in view.
What it takes to stand up, weighed against the outcome it moves.
Whether it does the actual job — not the demo version of it.
Whether it runs without becoming your team's second job.
Who fixes it when it breaks. For anything we build, that's us for the first month after go-live, then for as long as you keep us on.
The five-year number, not the launch-day one.
What you own, what you rent, and what either one locks in.
The capability, the spec, the scenarios and the code are yours, never licensed back. Where a bought component earns its place, its license fees are named before anything is decided. The call is yours.
The economics behind this are on Why Capability Factory. What an engagement costs is on the engagement model, and the questions operators ask are in the FAQ.