Systems That Run
the Work, Not Just
Talk About It
A chatbot answers questions. A copilot helps one person. We design and build agents that run processes — watching your systems, deciding inside the boundaries you set, executing the work, and routing exceptions to the right person. Production software, wired into the tools your operation already runs on.
Most "AI projects" are a tool bolted to a broken process.
A pilot chatbot gets demoed, everyone nods, and six months later nothing in the operation runs differently. The problem is rarely the model. It is that the tool never took a single decision off anyone's plate, never touched a real system, and never had a way to prove it worked.
We build the other thing. An agent scoped to one workflow, wired into your ERP and shop-floor systems, that actually executes — with the evals, monitoring, and rollback that make it safe to trust in production.
Why agentic workflows are the real unlock →Agents act, not answer
A chatbot waits for a question. A copilot helps one person. An agent runs a process — it watches your systems, decides inside boundaries you set, executes the work, and routes the exceptions to the right person. That is the unit we build.
Monitoring, decision, execution, and escalation are the four jobs. If a system only does the first, it is a dashboard, not an agent.
Design before code
We map the workflow, name every decision the agent will own, and draw the human-in-the-loop checkpoints before writing a line. Most AI projects bolt a tool onto a broken process. We design the system logic and the data flows first, so the agent inherits a good process instead of a mess.
Some workflows should be improved before they are automated. We say so, and fix the process first when it pays.
Wired into your stack
The agent reads and writes where the work already lives — ERP, MES, WMS, CMMS, QMS, spreadsheets, and the manual steps in between. If it has an API or a database, we connect to it. No rip-and-replace, no parallel system your team has to babysit.
SAP, Oracle, Epicor, Infor, Plex, NetSuite, Manhattan, Maximo, MasterControl — and the shop-floor systems that never had an API until we gave them one.
A team of agents, not one
Real operations need many decisions with different priorities at once. We build coordinated agents — a planner, a procurement agent, a cost-control agent — each scoped to its job, handing work to each other and to your people through defined contracts.
One giant model cannot be careful, aggressive, and frugal at the same time. A team of scoped agents can.
Built to degrade gracefully
Production software fails in the real world. Ours is designed for it — bounded scope, validated inputs, filtered outputs, and a safe fallback when something unexpected happens. The agent never silently does the wrong thing at scale.
Role-based access, scoped credentials, input validation, and output filtering. Agents see and do only what they are authorized to.
Proven before it ships
Nothing goes near production without an eval suite: accuracy benchmarks against your data, regression tests, and failure-mode coverage. You see the system run against your real data, and you see the numbers, before go-live.
Version-controlled configs with rollback in minutes, a full audit trail, and human override on every agent.
Production Software, Not a Demo
Six standards ship with every agent we build. This is the difference between something that works in a demo and something you can run your operation on.
Eval Suites
Regression tests, accuracy benchmarks, and failure-mode coverage before anything touches production.
Version Control
Prompts, model configs, tool definitions, and guardrails all tracked. Rollback in minutes, full audit trail.
Security & Access
Role-based access, scoped credentials, input validation, and output filtering on every agent.
Observability
Structured logging, trace IDs, latency, cost monitoring, and drift detection. You see what agents do and why.
Continuous Tuning
Production data drives improvement. We monitor, adjust decision logic, and expand scope based on what works.
Human-in-the-Loop
Approval gates, escalation paths, and override controls. Agents augment your team — they don't replace judgment.
From One Decision to a Running System
Scope the decision
We pick one workflow and name exactly what the agent will decide, what it will execute, and what it must escalate. Tight scope is what gets you value in weeks instead of an 18-month roadmap.
Design the system
Agent boundaries, integration specs for every connected system, decision logic, and human checkpoints — documented before build. You approve the design, not a black box.
Build and prove
Production-grade software with the full eval suite, monitoring, and rollback. You review it running against your real data before it goes live.
Run and expand
Go-live is the start. We tune decision logic on production data, track quality and drift, and expand to the next workflow as the first one proves out.
Start with one workflow. Prove it. Expand.
You should not have to bet the operation to find out if this works. The first engagement is tightly scoped, fixed in timeline, and validated against your real data before anything goes live.
We build the first agent, prove it in production, and expand to the next workflow as it earns the right. The system compounds — every decision it makes becomes data that sharpens the next one.