Learns the rhythm
ALi studies how the owner decides: what gets approved, what gets escalated, what should never move without a human.
Managed AI employee
AI Just Met You builds the AI operator that learns how you work, watches the moving parts, and prepares the next move before follow-up, admin, or client context slips.
We connect to your existing tools, build one live operator workflow, and manage it weekly with approval controls.
The shift
That person is usually the bottleneck. ALi becomes the parallel layer that sees the same context, remembers the operating rules, and turns scattered work into clear next actions.
What ALi becomes
ALi studies how the owner decides: what gets approved, what gets escalated, what should never move without a human.
Inbox, calendar, CRM, docs, sheets, Slack, browser apps, notes, and the handoffs between them.
The next email, call note, daily money list, meeting brief, task, or admin pass is ready before the owner asks.
How we start
The first workflow is usually simple: stale estimates, missed replies, old leads, and daily owner follow-through.
Connect the systems where work already happens.
Watch for open loops, stale money, and owner bottlenecks.
Draft the next move in the company voice with context attached.
Learn from approvals, edits, ignores, and edge cases every week.
The offer
We keep scope tight enough to ship, then expand once the operator proves it can remove real owner load.
Focused workflow, obvious pain, tight scope, fast operating proof.
Managed AI employee, unlimited reasonable usage, 48-hour first-agent live, weekly improvements, monitoring, and support.
ALi drafts and prepares. You approve customer-facing moves until the workflow has earned more autonomy.
The first workflow runs through the tools you already use: email, calendar, CRM, docs, sheets, and notes.
Edits, ignores, edge cases, and new rules become better behavior instead of another meeting about process.
Next step