An AI agent is a software teammate that can take a goal and handle the work end-to-end: it breaks the goal into steps, gathers the right inputs, checks its own output, and moves the task forward.
Turns vague requests into a short checklist - consistent output, less chaos.
Docs, inbox, CRM, helpdesk, data, APIs - grounded in your sources of truth.
Checks constraints and uncertainty. Asks questions instead of guessing.
One line: Chat answers. Agents deliver.
Plan → Act → Verify → Report. A repeatable process that replaces “AI vibes” with control. Click a step to see what the agent actually does.
The agent turns your goal into a checklist: required inputs, tools to use, constraints to respect, and the exact output format.
If anything is unclear, it asks a precise question before moving on - no guessing, no silent assumptions.
The agent pulls facts from your systems (docs, inbox, CRM, TMS/WMS, APIs) and takes action using approved tools.
It can run draft-first (you approve) or execute-after-OK - depending on the risk level.
This is the quality gate. The agent checks missing info, conflicts, thresholds, and business rules - before it commits changes.
When there’s uncertainty, it stops and asks a clean question (or offers options) instead of "making something up".
You get a clear recap: what changed, what it touched, and what it used as evidence (links, records, messages).
If a human decision is needed, it highlights it up front - with context, not a pile of questions.
Pick one. If it’s repeatable and annoying - an agent can handle it.
Built with guardrails: permissions · approvals · sources of truth · audit logs.
Agents shouldn’t “free-run”. SOXE builds boundaries so you stay in control — what it can access, what it can change, and when it must ask for approval.
Define read vs. write access. No accidental damage.
Draft-first or approve-to-execute. You choose the risk level.
What happened, when, and why — easy to review and improve.