SC Nexus · AI agents
There's work in your business that runs on a fixed procedure — same inputs, same steps, same outputs. That's automatable. I build agents that plug into your actual stack, run the task end to end, and escalate to a human when confidence drops.
A chatbot answers questions. An agent executes a process.
It ingests the inbound — email, form, ticket, webhook — pulls context from your systems of record, runs the task through the model with your business rules as guardrails, writes the result back into your tools, and flags a human on anything it isn't confident about. It runs on a trigger or a schedule, and logs every action so you can see exactly what it did and why.
I start narrow on purpose — one process, internal-facing, low blast radius — then instrument it, measure it against how a person did the job, and widen scope once the numbers hold.
Priced per project after a scoping call. Compare it to what the role costs loaded — not to what software costs.
Nearly ready for its first distributor · Quoting and pricing for industrial distributors
A distributor's quoting desk, rebuilt as a digital worker.
An industrial supplier with thousands of products quotes by hand: a request comes in, someone looks up what each item costs from which vendor, adds the right markup for that customer, builds the quote, and sends it. Kova does that work and leaves the judgment calls to a person.
The distributor's vendor price sheets go in, and Kova builds the catalog and the costs from them. A customer signs in, finds what they need by name or part number, and submits a quote request. Kova numbers it, finds each item's current cost from every vendor, applies that customer's markup, and puts a priced draft in front of the team. A manager adjusts and approves; Kova generates the PDF, emails the customer, and turns an accepted quote into an order.
Every approval saves that customer's prices. When a repeat request contains only items they've been quoted before, and the costs behind them haven't moved, Kova prices it and sends it on its own. If a cost has gone stale or changed, the quote goes to a person instead, flagged.
It's built and tested end to end, and nearly ready for its first distributor. One Kova serves many distributors, each at its own address, under its own brand, with its data kept apart from everyone else's.
What's left before and after the first distributor switches it on. The CRM and payment connections are started: the code is in place but not yet connected.
There are not a hundred different agents. There are ten, pointed in different directions — and every one of them is written up in the Library.
Each role has its own page: what the job actually is, the part that is harder than it looks, and what it looks like in 59 industries in their own vocabulary. Start with the role that sounds like your week.
All ten agent roles — the Follow-Up, the Intake, the Drafter, the Watcher, the Answer Desk, the Scribe, the Reporter, the Reconciler, the Connector, the Gatekeeper.
The goal isn't a clever demo. It's a system you'd trust with a real slice of your operation.
So we find the highest-volume, lowest-risk task, define what "correct" looks like, and build to that. It runs alongside a human with full logging until its accuracy is boringly reliable — then we widen scope and hand it more responsibility.
No. A chatbot generates text; an agent takes actions in your systems — it reads, decides, writes back, and escalates. You're handing off a task, not adding a Q&A widget.
Everything starts human-in-the-loop on a low-risk task, flagging low-confidence cases and logging every action. We measure its accuracy against a human baseline and only widen its autonomy once it's proven. You're never trusting a black box on day one.
If it has an API or an inbox, it can usually connect — your CRM, email, docs, spreadsheets, ticketing, internal databases. Mapping what it needs to touch is part of scoping.
We scope data access to only what the task needs, keep it inside your own tools where possible, and set clear boundaries on what the agent can see and do. That's part of the scoping call.
Priced per project after we scope it. The honest way to weigh it: compare it to the loaded cost of the person doing that task today, not to what a piece of software usually costs.
Tell me what's slow, expensive, or held together with tape. If I'm not the right fit, I'll say so on the first call.
Prefer email? luke@scnexus.ai · or call (317) 225-6105.