Riverfront AI Consultancy
This is our applied practice, separate from the performance engineering work. Where that side makes models you already run cheaper and faster, this side finds the repeated manual work inside a business and builds the system that does it instead: document intake, back-office workflows, retrieval over your own data, agents that hold a process together.
Every engagement starts from one task with a number attached to it, and finishes with that number moved.
Four ways in. Most engagements start with one and grow into another.
The highest-volume repeated task in the business, done by a system instead of a person. Document intake, data entry, classification, routing, reconciliation. We start where the volume is, because volume is what pays for the build.
What you getProduction workflow · accuracy thresholds · human review path · handover
Retrieval, agents and assistants built against your data and your constraints. Every system ships with an evaluation suite, so you can tell whether a change made it better before your customers do.
What you getProduction service · eval harness · runbook · team handover
The pipelines, features and serving infrastructure a model needs before anyone can trust it. We fix training and serving skew, backfills, and the quiet data problems that make good models look bad.
What you getPipelines · feature definitions · monitoring · deployment path
We map where AI actually pays in your business and where it does not, then stay close enough to keep the plan honest. Useful when you need judgement more than headcount, or before you commit to a full-time hire.
What you getOpportunity map · sequenced roadmap · architecture review · hiring support
Four questions that decide it, in order.
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, and it is worth doing on its own.
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.
Twelve weeks, end to end. You can stop at any stage boundary.
Week
A conversation and a look at what you already have. We tell you whether the thing you want is worth building, including when the answer is no.
We work through your systems, your constraints and the actual decision the system would inform. Ends in a written scope with a fixed price and a defined finish line.
Two-week increments, each ending in something you can run yourself. You see the evaluation numbers every time, including the times they get worse.
Your team takes the wheel while we are still on call. Documentation, a runbook, and monitoring that pages a human when the system drifts.
Four situations where we would tell you not to bother.
Contact
Name the task and, if you have it, the number behind it: hours a week, tickets a day, cost a month. If it is not worth automating, we will say so on the first call.