AI project consulting, platform development and integration. We specialize in regulated industries, healthcare, finance and insurance, and take on specialized projects wherever the problem is hard and the process is the constraint. We custom build, at a fraction of the cost of other firms and in a fraction of the time.
Three services that are usually sold by three different firms, delivered by one team that has shipped all three into production. You can start at any of them and stop at any of them.
Assessment, roadmap, feasibility and build or buy. We sit with the work, name the constraint in numbers, and tell you where AI produces a result and where it does not. You get a plan specific enough to hand to any firm, including one that is not us.
Custom built systems rather than configured templates. Data model, application, evaluation harness and the operational tooling to run it after we hand over. Built by the people who will still be on the call at ninety days.
The work most projects die on. Carrier portals, electronic health records, core banking, document stores and systems with no interface at all. We connect what you already run instead of asking you to replace it.
This is not a discount and it is not offshore labor. It is a different cost structure, and it is worth understanding before you compare our number to anyone else's.
A small senior team. There is no bench to keep busy, no engagement manager marking up an analyst, and no discovery phase sold as a deliverable. The person who scopes the work is the person who builds it.
We develop with AI agents under continuous integration, database level constraints and evaluation gates. That is why the timeline compresses without the defect rate rising. The gate is what makes the speed safe.
Compliance screening, audit trails, evaluation harnesses, document and identity flows. These are already built and already proven in our own production systems. You are not funding their first version.
From prototype to a licensed brokerage platform running AI content generation behind a compliance gate, a pricing engine built on public county records, a constrained offer and counter mechanism, and a complete transaction audit trail. Built and operated by this team, at our own risk, before we ever proposed the pattern to a client.
Automation applied to a broken process does not fix it. It scales the dysfunction and puts a faster engine behind the same wrong answer. So the model is the fourth thing we do, not the first.
Time studies, exception counts, rework rates, handoff delays. We name the constraint in numbers and record the baseline before anyone opens a model.
Much of the available saving lives here, in work that should not exist at all. Cutting it costs nothing to run and nothing to maintain.
AI goes only where a redesigned process still has a bottleneck a person should not be holding. Defined scope, a target you approved, and a real connection to the systems you already run.
We instrument the outcome and compare it to the baseline from step one. If the number did not move we say so, and we tell you which assumption was wrong.
The software did not fail. The assumption behind purchasing it did.
Rivl AI position paper
Fifteen minutes. You describe what you are trying to build or fix, and we tell you whether the constraint is process, data, integration or a decision nobody owns. If AI is not the answer we will say so on the call.