Agents
A role, not a task
An Agent is a named function inside your business — inputs, tools, decision authority, actions and outputs defined the way you'd define a hire — run by an agent architecture instead of a person.
The worked example
Meet Alice
Alice is DBAI's flagship Agent — the seven-part frame above, fully instantiated: a named role, a defined set of inputs and tools, and a working decision and approval model, running in production today.
What an Agent is
The same seven parts, every time
Every Agent DBAI deploys is described the same way, so the pattern is checkable and repeatable rather than a different pitch for every role. This is the frame Alice is built from, and the frame every worker DBAI ships after her instantiates.
- 01ROLE
- A defined function inside the business — not a single task, not a single reply. Owns a process end to end.
- 02INPUTS
- Documents, emails, forms, system records and API payloads — structured and unstructured data, read the way a person would read it.
- 03TOOLS
- Your existing systems, connected via API, browser interaction or direct database access — no wholesale replacement required.
- 04DECISIONS
- Every step weighed against your business rules and the current state of the process, not a static script that stops at the first exception.
- 05ACTIONS
- API calls, data entry, document generation and workflow steps, carried out directly in the systems you already run.
- 06APPROVALS
- Runs in review mode until it earns autonomy, then escalates to a person whenever a decision needs judgment a script can't supply.
- 07OUTPUTS
- Finished work, plus a full decision log — what data was used, what rule applied, why every action happened.
Not an agent. Not an automation. Both, deployed.
How an Agent relates to the other two
An AI Agent is the architecture: perception, reasoning and execution, built to own a process. An Automation is a pipeline: a trigger, a sequence of steps, and a result written back to a system of record. An Agent is what you get when that architecture is assigned an ongoing role in your business — named, scoped, supervised and measured the way any new hire would be — running on the same architecture AI Agents describes, and able to trigger or absorb the pipelines AI Automation builds.
How one gets deployed and supervised
Onboarded like a hire, not switched on like a feature
- 01
DESCRIBE
Define the work in plain language.
- 02
TEST & REFINE
Review mode — you evaluate every decision before it acts.
- 03
DEPLOY & IMPROVE
Runs autonomously with full audit trails and feedback.
Related
Bring us the role you keep having to staff around.
We'll show you whether it's an Agent's job — and what the seven parts look like for your business.
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