AI that earns its keep on the operating problems no one else will touch.
Fulcrum AI partners with software platforms and operating teams to ship production AI where the work actually happens. We build the agent, we own the MCP and integration layer, and we deliver against the operating metric — not the demo.
What the agent layer actually does.
Operational intelligence
Surface what's happening, why it matters, and what to do next.
Integration & MCP layer
Connect MES, ERP, WMS, CRM, and more — securely and at scale.
AI agents that act
Specialized agents that identify issues, recommend actions, and drive results.
Governed & secure
Enterprise-grade governance, controls, and auditability built in.
Outcome focused
We align to your operating metric and deliver measurable impact.
Co-built with your team
We partner closely with your operators, engineers, and leadership.
The business version, before the architecture.
Build production AI systems on top of the systems you already run — not a pilot that impresses in a demo and stalls, a working system your team can operate.
Mid-market operators and software platforms who know AI matters but don't yet have the data, integration, or governance in place to use it safely.
Disconnected systems, no clear place to start, no governance or cost control once agents go live, and pilots that never make it to production.
A two-week AI Readiness Workshop that tells you exactly where AI creates value in your operation — before you commit to a build.
A working system tied to a number you agreed to move, built on data you can trust, with governance and cost control in place from day one.
The conversation usually starts with one of these.
- "We want Microsoft Copilot, but we're not sure our data is ready for it."
- "We have too many disconnected systems and no single source of truth."
- "We know AI can help. We don't know where to start."
- "We need executive-level guidance before we hire an AI team."
- "We need governance and security in place before anything goes live."
- "We want to automate workflows without ripping out what already works."
- "We need a real number attached to the ROI — not a demo."
Three engagement shapes. One bar for what ships.
Build partnerships
Co-development with software platforms that need real AI capability without spinning up an internal ML team. We own the agent, the MCP servers, and the integration surface end-to-end.
See the architecture →Operator advisory
For executive teams making the build-vs-buy AI call. We map the real cost curve, write the technical RFP, and stay through implementation when it helps.
See representative work →Channel + GTM through DCS
DCS is Fulcrum's channel and advisory wing. We help applied-AI vendors reach operators who otherwise wouldn't pick up the phone — and we keep our hands on the technical fit.
How the two pieces fit →Governance and cost control aren't the afterthought here.
Most AI vendors ship the demo and figure out "what if it goes wrong" and "what does this cost at scale" after a committee asks. We build both into the agent layer from day one — and we start every engagement by assessing the data underneath, because an agent is only as good as what it's reading.
Governance, not a compliance doc
Seven controls — identity through kill switch — that answer "can you show me what it did" and "can you stop it in 60 seconds," before a committee has to ask.
See the IADTHAM framework →The stack beneath the agent
AI is the top of a four-layer stack. We assess Enterprise Systems, Integration, and Data before writing a line of agent code — garbage data in means confident garbage out.
See how we build →Cost control from the start
Model routing, caching, and usage budgets built into the agent layer — not a dashboard you check after the invoice arrives.
See the optimization layer →Three things we will not do.
- Slide decks instead of systems. If the deliverable can't be run, we didn't build it.
- Generic LLM wrappers. Tool use, retrieval, eval harnesses, and observability are table stakes — not the product.
- Engagements without a measurable outcome. Every partnership opens with the operating metric we expect to move and how we'll know.
Have a problem that's "too operational" for AI?
Those are the ones we want to hear about. Tell us the unglamorous version — what would change in your operation if this worked.