It follows the events that actually move the business: deposits, pipeline changes, approvals, reviews, delays, and deal risk.
This runs your business.
AI assistants that watch what matters, keep work moving, and bring the right updates, approvals, and next steps into one place.
Deposit received for 241 Palm. Buyer activity on Harbor View spiked again. One thread needs attention now.
Drafted outreach for Anna before momentum drops:
- Reference second revisit on Harbor View
- Offer a 4:30 PM walk-through slot
- Flag pricing window if she wants to move this week
Send it now. Hold pricing language unless she asks.
Deposit landed. Reconcile it. Ask only if something looks off.
Prepare the note, route the exception, keep the ledger moving.
Review is late. Draft the editor handoff and the author nudge.
Turn status into the next move, not another screen to check.
Buyer signal changed. Prep the message before the window closes.
Surface the moment, prepare the outreach, keep the flow moving.
You don’t need more software to check. You need the work to keep moving.
GPTMini is not AI consulting and not another dashboard to babysit. It watches what matters, prepares the next step, and keeps the right people informed, aligned, and ready to act.
It writes the message, assembles the update, prepares the handoff, and keeps the thread moving forward.
Important approvals, exceptions, and next moves show up clearly, without burying the team in noise.
The system handles the busywork, but people still make the calls that matter.
Same system. Different businesses.
The experience stays the same. What changes is the business context: the signals it watches, the drafts it prepares, and the moments that need human attention.
Deposit posted. Invoice 4821 is still unmatched. I drafted the reconciliation note and queued the client confirmation.
Approve the adjustment or flag it for review. Everything else is prepared.
Review round slipped. I summarized editor notes, drafted the author reply, and highlighted one unresolved call on the lead section.
Pick version A or B. The revision thread is otherwise ready to send.
Buyer heat increased on two listings. One deal risk surfaced from silence after a second showing. Outreach is drafted for both threads.
Send now, hold until evening, or redirect to agent follow-up.
From scattered work to one feed that moves the business.
Instead of chasing updates across systems, you get one place where the important work arrives already prepared and ready to move.
- Texts, calls, CRM alerts, and inbox noise
- Missed follow-ups hidden across systems
- People rewriting the same updates by hand
- Urgency buried next to low-value busywork
- No single place where the work is actually moving
- One feed of work that matters now
- Prioritized threads instead of scattered alerts
- Drafts ready before the human arrives
- Approvals, exceptions, and next steps surfaced clearly
- Outcomes tracked in the same place the work happens
Run it where your business needs it.
For teams that need more control, GPTMini is being designed to run close to the business: private by default, tailored to the workflow, and shaped around how your team already operates.
Designed to run in your environment, near your data and workflows, instead of as another dependency you rent forever.
Built for businesses that want the upside of AI without shipping every operational detail into someone else’s platform.
Accounting, publishing, real estate, and other industry packs can tune the signals, language, and operator flow.
Less another app to open. More a system that quietly keeps things moving while your team stays informed and in control.
We’re looking for teams who want to shape the first industry packs.
We’re working with a small group of design partners to shape the first industry packs, refine the experience, and define what this category looks like in the real world.
Bring the moments, approvals, handoffs, and exceptions that matter in your business.
See the direction early, influence the pack design, and work directly with the team building it.
We care about real edge cases, not polished demo stories. Messy operations are where the value is.
The goal is less noise, faster follow-through, and clear human oversight without slowing the work down.