workflow automation
The highest-volume repeated task, done by a system instead of a person. Intake, data entry, classification, routing, reconciliation.
workflow · accuracy thresholds · review path · handover
riverfront ai consultancy
The work you do twice a day, done once.
The applied practice. We find the repeated manual work inside a business and build the system that does it instead — starting from a task with a number attached.
What we build
ai systems and agents
Retrieval, agents and assistants built against your data. Every system ships with an evaluation suite, so you can tell whether a change made it better before your customers do.
service · eval harness · runbook · handover
data and ml engineering
The pipelines, features and serving infrastructure a model needs before anyone can trust it — including the quiet data problems that make good models look bad.
pipelines · feature definitions · monitoring · deployment
strategy and fractional leadership
Where AI actually pays in your business and where it does not, then close enough to keep the plan honest. For when you need judgement more than headcount.
opportunity map · roadmap · architecture review · hiring
How we scope it
Four rules we apply before quoting anything. They are also how to brief us.
- Start from your highest-volume repeated task, not from AI. If a task happens twice a month, automating it is a hobby.
- Attach a number to it: hours a week, rejected claims a month, calls a day. If nobody can tell you the number, finding it out is the first piece of work.
- Scope one narrow pilot, small enough to prove or disprove in weeks. A pilot that cannot fail cannot teach you anything.
- Ask where your data is processed and stored before anything else. In regulated work, that answer decides the project.
How an engagement runs
- one call
sounding
Whether the thing you want is worth building, including when the answer is no. No fee.
- weeks 1–2
survey
Your systems, your constraints, and the actual decision the system would inform. Ends in a fixed price and a finish line.
- weeks 3–10
build
Two-week increments, each ending in something you can run yourself. You see the eval numbers every time, including when they get worse.
- weeks 11–12
handover
Your team takes the wheel while we are still on call. Runbook, documentation, and monitoring that pages a human when it drifts.
When it is not worth it
- The task happens rarely. Volume is what pays for the build.
- Nobody can describe the current process end to end. Automating an undocumented process only makes the confusion faster.
- The knowledge lives in one head and has never been written down. That is a documentation project first.
- Every case must be correct, with no human check anywhere. That is a rules engine, not a model.
Tell us what the manual work costs.
The task, roughly how often it happens, and who does it now. If you already know the number it costs you, lead with that.