AI agent development & automation.
We build AI agents and automations for repeatable work, like sorting incoming requests or drafting replies, with a person still making the decisions that matter.
Where an agent is worth building
Good candidates are tasks done many times a week, where a first draft saves real time.
We start with one task, not a platform.
For example: a support request, triaged
Incoming request
Arrives as messy text.
The agent
Sorts it and drafts a reply.
A person approves
Edits, sends or rejects it.
Escalated
Goes straight to a person.
How we build it
If a Flow or a short script can do the job, we’ll recommend that instead.Suggest a task to start with How a project runs
Built on our own agents
Umbra AI is our private platform for engineering agents, used on our own work. It isn’t a hosted product.
Common questions
Can an agent work with our existing applications?
Often, through supported APIs, a custom MCP server, or a purpose-built integration. We first confirm permissions and available interfaces. The agent’s access can be narrower than the account or system it connects to.
Can this run without someone watching every step?
Some narrow tasks can, once we know how they fail, how we’ll watch them and who reviews them. We never start by giving an agent open access to production, and anything it does on its own is limited to that one task.
How do you evaluate an AI workflow?
We agree examples, expected outcomes, and unacceptable behavior before rollout. Tests can cover tool permissions, malformed inputs, interruptions, and cases that need escalation. Human review remains part of the design for results that require it.