Stop teaching AI to write your emails. Start letting it run your operation.
Most enterprises are wiring AI into the inbox. Supply chain, customer fulfillment, the integration tech stack — the work that actually runs the business — still moves at the speed of swivel-chair handoffs and forty browser tabs. OpsATC.AI orchestrates that work — the operation itself, not the email about it.
What is OpsATC.AI?
OpsATC.AI is the AI-native control tower for distributors, contract manufacturers, systems integrators, logistics carriers, hub providers, and the product companies (OEMs) they supply. It reads your existing ERP, planning, WMS, CRM, PLM, and supplier systems via MCP — and lets The Captain, an AI agent, orchestrate the work that moves across them. Your team drives operations decisions from one console instead of across spreadsheets and browser tabs.
Distributors, CMs, integrators, storage OEMs, hybrid operators, logistics carriers, and hub providers
Operations running on the kind of stack OpsATC.AI's connectors are built for — 141 production-built, contract-tested Tier-1 connectors inside an 839-surface catalog — with customers waiting on the other side — including the product companies (OEMs) the supply chain feeds.
How we fit your industry →
Orchestrates operational work, doesn't replace it
The Captain reads across your systems, surfaces decisions before they break, cites every source, and lets the operator commit the action. Read-only by design.
Our approach →
141 production-built connectors, 839 cataloged. No data lake.
Reads your live systems on demand — no replication, no ETL, no 18-month rollout. Five role-aware portals, three pillars, one agent.
Platform overview →
Accepted ADRs, each one tracing a design choice to its constraint and trade-off. Full catalog under NDA at pilot kickoff.
Platform adapters scaffolded across the supply-chain stack. 141 are production-built, contract-tested Tier-1 connectors — each verified in CI to perform a real data read — including SAP S/4HANA, Oracle Fusion ERP, and Blue Yonder WMS. Reads run against synthetic replay fixtures; live-sandbox validation is Day-1 onboarding work. ~700 more scaffolds elevate per customer signal. Plus 8 generic adapters bridging the long tail. See the full catalog →
Write-gate registry as of build 2026-06-22 — 644 entries (634 high-risk Tier-2 + 10 low/medium static), default-deny with audit trail. CI lint refuses any PR adding an unregistered write. Most high-risk writes don't have an executable code path at all — Tier-1 enforcement (code-path absence) is the first defense layer; the Tier-2 registry is the second.
Forward-only migrations applied (through 0048) to the multi-tenant Postgres schema. Tenant isolation enforced via row-level security; every migration tested under multi-tenant fixtures. Migration 0015 introduces the Data Quality Detection Layer (ADR-0023). Migration 0035 makes RLS fail-closed — a query with no tenant context returns zero rows via an all-zeros sentinel, not every tenant.
Full architecture detail + roadmap dates on approach.html → Where we are today.
OpsATC.AI = Air Traffic Control, for operations. The metaphor is literal: an air-traffic-control tower coordinates everything moving through its airspace — pilots, planes, weather, ground crew, runway capacity — in real time, with one source of truth and a human in the loop on every consequential decision. That's exactly what the operations ecosystem needs — and what no existing AI layer has actually delivered.
Most companies are spending their AI budget on the easy work. The hard work — running the operation — still runs on spreadsheets.
When the C-suite says "we're investing in AI," they usually mean a Copilot license and a corporate prompt library. Useful. Marginal. The actual operating system of the business is untouched. The team is untrained. Systems and processes are sub-optimal. Customer satisfaction hits a ceiling.
This is AI without a strategy. OpsATC.AI is built for the alternative.
The question is whether the operational layer is being built deliberately, or whether only the administrative layer is.
Admin AI
Chat interface for individual contributors. One conversation at a time. Each user re-asks the same questions. The AI never sees the operation.
- Drafts emails and meeting summaries
- Writes a cleaner exec memo than you can
- Helps engineering review pull requests
- Answers HR questions from a policy PDF
- Sits beside the work — not inside it
- Saves an hour a day, per person
Operational AI
An always-on agent layer that proactively scans the operation, ranks what needs attention by impact, and orchestrates the response across people, processes, customers, and suppliers.
- Recommends and cites — humans always execute in the source systems
- Proactively prioritizes — doesn't wait to be asked
- Analyzes ERP, planning suite, WMS, PLM, CRM via MCP — surfacing cross-system bottlenecks you cannot see in any single system
- Surfaces the top exceptions before the stand-up does
- Pre-builds the morning agenda and prioritizes by business impact
- Sits inside the work, connecting the whole ecosystem
Meet The Captain
She doesn't wait to be asked. She prioritizes the work for you.
The Captain is the AI agent at the heart of OpsATC.AI — built on Anthropic's Claude foundation models and grounded in your live operational data via MCP. She scans the ecosystem continuously, ranks what needs attention by financial and operational impact, and surfaces decisions in priority order before anyone has to chase them down. Every fact is cited; every read is logged; The Captain does not act on your systems of record — the operator commits in their own UI, against their own credentials.
Three to five items, per persona, per day. That's the priority depth The Captain is designed to surface — ranked by impact, with everything else visible on demand but never pushed unsolicited. The point is to compress decisions, not to add another notification stream.
P1 · $1.4M exposure — Cycle time on the priority customer line slipped to 11.2 days (target 10). Root cause: 3 buffer stockouts. Source: ERP · Planning suite
P2 · $640K exposure — OTIF dropped to 94% (target 97%) on a top-10 customer. Two missed truck appointments. Source: WMS
P3 · NPS risk — Two customer escalations open > 24h. I drafted responses — review in Daily Workbench. Source: Service Portal
Exposure figures (e.g. P1 · $1.4M exposure) are computed against your finance system's revenue, margin, and cost-of-delay parameters on the affected orders — not estimates. Every figure is traceable to its source records.
Sits on top of the systems you've already paid for.
MCP-native read-only access with per-tenant isolation and audit logging. All 141 of our Tier-1 connectors are production-built and contract-tested — each verified in CI to perform a real data read — including SAP S/4HANA, SAP ECC, Oracle Fusion ERP, Blue Yonder WMS, and Rockwell FactoryTalk, normalized to canonical domain types. Reads are validated against synthetic replay fixtures; live-sandbox validation is per-tenant Day-1 onboarding work. They sit within an 839-surface catalog that hardens just-in-time as design-partner needs emerge.
Side-by-side with Blue Yonder, Kinaxis, SAP, and the category alternatives.
OpsATC.AI evaluated against the five categories operators look at alongside us — ERP-with-AI, supply-chain platforms, logistics control towers, AI ops platforms, and generic AI assistants — across 13 capabilities. We didn't grade ourselves green on every row.
What changes when the control tower is on.
Direction of change, not promised magnitude. Specific numbers belong to the customers who eventually report them.
Directional, not quantified. The platform is pre-revenue; specific numbers belong to the customers who eventually report them.
The point of OpsATC.AI is not to promise a delta — it is to remove the conditions that make the delta hard to achieve in the first place.
Help build the connective layer.
OpsATC.AI is openly recruiting on three fronts: pilot customers ready to design with us, investors who back operator-founders early, and the technical co-founder who'll lead the implementation. Pick the conversation that fits best.
Or — if you'd rather start with a tailored demo — request a 30-minute walkthrough.