Five kinds of work, one goal: fewer steps per outcome.
Every engagement starts as a question about process, not technology. These are the five shapes the answer usually takes.
Web and native applications
Products your customers use and systems your staff lives in: a web application reachable from anywhere, an iOS or Android app when the work happens away from a desk, and one shared codebase behind both when that is the right call. Built to ship in slices, not in one long silence.
Web applications and portals
iOS and Android
Offline and field-ready
Auth, billing, and admin
Workflow automation
The handoffs, the re-typing, the copy-paste between two systems that were never introduced. We collapse them into one step that runs on its own and tells you when it does not.
Intake to fulfillment
Approvals and routing
Scheduled jobs and alerts
Applied AI, grounded in your documents
Assistants and classifiers that answer from your own policies, records, and history, with the source attached. No model guessing on your behalf, and no data leaving where you put it.
Retrieval over your records
Document extraction
Drafting and triage
Internal tools and dashboards
One screen your staff actually opens, laid out in the order the job happens, instead of four tabs and a spreadsheet that only one person understands.
Admin consoles
Operations dashboards
Intake and field forms
Integration and data plumbing
Your CRM, accounting, donor database, and spreadsheets holding the same numbers at the same time, without a person in the middle reconciling them every Friday.
APIs and webhooks
Sync and migration
Reporting pipelines
How we work
Map, prototype, instrument, scale. In that order, every time.
Each stage ends in something you keep, whether or not you continue with us.
01
Map
We sit with the people doing the work and write down every step, including the ones nobody documented. The map tends to find the savings before any code does.
You keep: a process map and a ranked list of what to fix first
02
Prototype
One narrow slice, working, in front of real users inside two weeks. Small enough to throw away, real enough to judge on your own data rather than on a demo.
You keep: a working prototype running on your data
03
Instrument
Before we widen anything, we measure it: minutes per case, error rate, queue depth, cost per run. Optimization you cannot see is a guess with a budget attached.
You keep: a measured baseline and the dashboard that shows it
04
Scale
Then we widen the path: more volume, more teams, the edge cases the prototype was allowed to ignore, and documentation so your staff runs it without calling us.
You keep: production rollout, documentation, and training
Built for the next order of magnitude
It should still hold at ten times the volume.
A fix that only works at today's numbers is a bottleneck with a later date on it. We design for the load you are growing into, then hand over something your own team can operate and change.
You own the stack. Code, data, and accounts stay in your name.
Nothing gets rolled out before it has a measured baseline.
Documented in plain language, so the next person can maintain it.
Who we work with
Small teams carrying more process than staff.
For businesses
Operations-heavy teams where growth has outrun the spreadsheet, and where one person has quietly become the integration between two systems.
Operations, trades, and field services
Professional services and client intake
E-commerce, inventory, and fulfillment
First engagement is fixed scope and fixed price
For nonprofits
We volunteer in this world, so we start from what a small staff and a rotating roster of volunteers can realistically maintain, not from what looks good in a demo.
Volunteer scheduling and onboarding
Donor, grant, and program reporting
Case, adoption, and program records
Website and data cleanup
Reduced nonprofit rate, and we work in the tools your funders already accept
Contact
Tell us the step that wastes the most time.
One email with that one sentence is enough for a useful first conversation. No deck, no discovery fee.