AI agents · Automation
Agents thatactually ship.
Practical automation for everyday operations — built against the systems you already run, and observable enough to trust.
Position
Most AI projects fail at the integration, not the model.
The hard part is rarely the language model. It is the plumbing: getting clean data out of the system of record, handling the cases that do not fit the happy path, and making the whole thing observable enough that an operations team will actually rely on it.
We come at this from an enterprise integration background — SAP, middleware, the unglamorous parts. That is why our agents tend to survive contact with real workflows.
Capabilities
What we build.
01
Custom agents
Purpose-built agents for support queues, internal operations and repetitive back-office workflows, scoped to a task they can actually complete.
02
Conversational interfaces
On-brand assistants for customers or staff, grounded in your own documentation rather than guessing.
03
Document triage
Extraction and routing for the paperwork that currently lands in somebody's inbox and waits.
04
Workflow automation
Replacing repetitive multi-system steps with automations that log what they did and fail loudly when they should.
Applied
Where it earns its keep.
- Lead qualification and routing
- Internal knowledge assistants
- Document extraction and triage
- Operational workflow automation
- Report generation from system data
- First-line support deflection
Connected to what you already run.
Agents are wired into your existing platforms — including SAP and other enterprise systems — rather than sitting beside them as another silo to maintain.