Most AI projects die in the demo. Ours run in production.

Sav

Hi, I'm Sav with Schilling Industries. We build automation systems that run in production — intake, documents, invoices, reporting. I can tell you whether a process is worth automating, and I'll tell you straight if it isn't. What's the task your team does most often that nobody enjoys?

Systems in production for Ascentient · Nitor · Pacific Outdoor Living

Or keep reading — proof, pricing, and how engagements work.

Proof

Built in real operations.

Custom systems running inside support desks, CRMs, and ops teams — not slide-deck demos.

  • AscentientSupport Triage

    After-Hours Voice AI Triage

    Every call is captured and converted to an actionable ticket automatically. The team starts each day with a complete picture of what came in overnight.

    Built A voice AI that handles inbound calls when agents are unavailable — triaging the issue, filtering spam, and automatically generating a structured support ticket delivered to the team every five minutes.

  • AscentientWorkflow

    Invoice Approval Automation

    A structured internal platform for invoice intake, routing, and auditability. Humans are only involved where business review is actually required.

    Built An end-to-end invoice workflow that ingests attachments, extracts data with Azure AI, matches vendors, routes to the correct approver, and handles approvals, disputes, and resubmissions — all through Microsoft Teams.

  • Pacific Outdoor LivingCRM

    AI Lead Intake

    Qualified leads land in the CRM around the clock. No manual intake. No dropped contacts.

    Built A conversational AI chatbot embedded on their website that qualifies leads, captures their information, and pushes qualified contacts directly into GoHighLevel — automatically.

  • NITOROps

    Customer Service Operations Platform

    Reporting runs automatically. Customer intake is self-service. Agents move faster. Supervisors have a live picture of operations.

    Built A full operations platform integrating Five9, PostgreSQL, Azure Functions, and internal tooling — automating ETL pipelines for call and agent data, streamlining start/stop service intake, and giving agents faster access to customer account information.

Pricing

Scoped to the problem — not a package menu.

Every project is priced from what the work actually requires. We do not sell tiers, seats, or tooling you do not need. Book a free automation audit and we will tell you exactly what it would take before any commitment.

  • Free automation audit first

    We map the process, name the bottleneck, and say honestly whether automation is worth it — before any build commitment.

  • Most builds land in 2–6 weeks

    Timeline depends on scope and integrations. You get a clear plan up front, not a floating estimate.

  • Pay for a working system

    Scoped, documented, monitored, and reachable after launch. If a simpler fix gets the job done, that is what we recommend.

Next step

Ready when you are — chat above, or book the audit.

No pitch deck. No obligation. We will map where you are losing time and money, and tell you what it would take to fix it.