Service · AI Agent Development
Not a chatbot. An agent that actually does the task.
The Opportunity
Why this matters now
There's a real difference between a system that answers questions and one that completes a task. An estimated 40% of a typical operational workflow is automatable this way, and most of what gets marketed as AI right now is still the former.
This is fast-moving and still emerging, and we treat it that way, with a clear-eyed view of what a custom agent can reliably do today for a defined process.
By the Numbers
40%
of a typical operational workflow now considered genuinely automatable
SRC · Industry, 2026
3 to 6 wk
typical build time for a well-scoped, single-process AI agent
SRC · Ad Astra, 2026
100%
of agent decisions kept visible and logged, not run as a black box
SRC · Ad Astra, 2026
Our Approach
How we work
- 01
We start by identifying a specific, well-bounded process with clear rules and a measurable outcome, since an agent built around a vague mandate fails in ways that are expensive to unwind.
- 02
The agent is built with guardrails for its actual risk level, tested against real edge cases before touching live operations, and rolled out with monitoring so its decisions stay visible.
In Practice
Inside the Engagement
What's included
- Process assessment to identify genuine AI agent use cases
- Custom agent design, development and integration with existing systems
- Guardrails, escalation rules and human-in-the-loop checkpoints
- Testing, monitoring and iteration once the agent is live
Where This Fits
Part of a bigger picture
Let's Begin
Ready to rise above
the noise?
Tell us where you're headed. We'll tell you how to get there faster.
