We build AI agents that sit between your customers and your back office. Your team spends less time on data entry and more time closing.
Built for mid-market manufacturers and distributors.
One RFQ turns into hours of catalog lookup, pricing checks, and manual formatting. Emails, PDFs, competitor cross-references. One at a time. Meanwhile, your competitor already replied.
Orders arrive in WhatsApp, voice notes, forwarded emails. Someone retypes each one into the ERP. Every manual step is a chance to lose a digit and lose the relationship.
The spec arrives as a PDF, a CAD file, an email in German, and an Excel with no headers. Before your team can start a quote, someone has to read all of it and type the relevant parts into your system by hand. That step alone takes hours — and nothing about it requires human judgment.
Margin exceptions sit in email chains waiting for sign-off. By the time approval lands, the customer has moved on.
One week of discovery: your workflows, your systems, your team's real pain points. We leave with a specific workflow to build, not a generic roadmap.
An AI agent that sits between your customer channels and your systems of record, configured to your rules. You test it. We adjust. No long phases, no 200-slide decks.
First workflow in production. We train your team and stay on.
Time to first workflow: 3–4 weeks.
We charge an implementation fee to build and configure the system. Once it's live, you pay per workflow run — not a flat monthly fee.
That means we have every incentive to build it fast and make it work. If it doesn't run, we don't get paid.
Most clients start with a single workflow. The scope grows once they see it work.
3–4 weeks to a first workflow in production. That assumes one person on your side part-time for discovery and testing. We've never run a project that took longer without a good reason.
SAP, Odoo, NetSuite, and Acumatica are the ones we know best. We've also connected to custom systems. If you're not sure, ask on the call.
One person who knows the workflow well enough to explain the exceptions — usually a commercial director, ops manager, or sales team lead. We front-load that input in the first week of discovery so we're not pulling people into ongoing meetings. Once we're in the build phase, your team mostly just tests.
LLMs are powerful engines. But an engine alone doesn't drive anywhere. The hard problem isn't the AI. It's making it reliable enough to trust with real work: your catalog, your pricing rules, your ERP, your edge cases. A raw model can draft a quote. It can't look up your product codes, check your margin logic, and push a clean order to SAP without someone reviewing every line. When it gets something wrong — wrong price, wrong SKU, wrong customer — someone on your team pays for it. We build the operational layer around the AI: the deterministic rules, validation steps, and system integrations that turn a capable model into a workflow you can run without supervision.
We stay on. The per-use fee covers monitoring and adjustments. Most clients add a second workflow within 90 days.
It depends on the workflow and your current system setup. The same automation can be twice as complex depending on your ERP and how your data is structured. After a discovery call we give you a proposal. No open-ended retainers.
Anywhere. We have clients in Latin America, the United States, and Europe. If you run manufacturing or distribution operations and the language is Spanish, English, Italian, or Portuguese, we can work with you.
Book a 30-minute call. We'll map one workflow with you and tell you what it would take to automate it.
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