Team
founders, partners, operations leads, and busy executives
AI personal assistant
AI personal assistant that lives in your inbox
The week gets lost in inbox triage, meeting prep, and follow-up nobody owns.
Mia prepares the day, drafts the nudge, and names what needs attention.
The assistant gives time back without becoming another app to manage.
Send the inbox or calendar bottleneck. Mia maps the first assistant loop to give the week back.
Runs inside
Gmail
Outlook
Google Calendar
Slack
Notion
HubSpot
Salesforce
Workday pressure
Start with what your team already says.
Mia does not score AI interest.
She scores the queue: what piles up, who gets chased, and what still needs approval.
The first version must clear visible work.
Workday sentence
They say: inbox overwhelm, inbox triage with drafted replies.
Answer that pressure first.
Where it gets stuck
Inbox overwhelm: Hundreds of unread messages.
Marketing, updates, customer requests, and noise pile up.
You scan, miss urgent items, and re-read the same messages looking for context.
What cannot go wrong
Teams that want to deploy a generic chatbot and let it run unsupervised.
What stays human
No silent customer commitments: Price changes, refunds, exceptions, and customer-facing decisions require your approval before they leave the mailbox.
First useful version
Inbox feels managed without manually triaging every message.
Work first
What changes when this work gets handled.
The question is simple.
Can this work be cleared with less cost, less waiting, fewer misses, and less manager attention?
Work to clear
What your team gets back
Inbox feels managed without manually triaging every message.
Impact
Why it is worth doing
Deploy time.
No onboarding calls, no form filling, no setup training.
Current cost
What it costs now
Hundreds of unread messages.
Marketing, updates, customer requests, and noise pile up.
You scan, miss urgent items, and re-read the same messages looking for context.
Human approval
Where people stay in charge
No silent customer commitments: Price changes, refunds, exceptions, and customer-facing decisions require your approval before they leave the mailbox.
Work in motion
What it looks like when the work is moving.
Three week-one outputs. Drafted for review before send.
EXAMPLE · 01
Inbox triage with drafted replies
Overnight, 40 emails arrive.
The assistant classifies them: most can be archived, several need a brief acknowledgment (drafted in your voice), and a few need your decision.
You see only the actionable items.
EXAMPLE · 02
Pre-meeting briefing from CRM and mail
Tomorrow you meet a prospect.
The assistant pulls their company profile, deal stage, and the last three email threads you exchanged, and writes a one-page brief with open questions and risks.
EXAMPLE · 03
Follow-up surface and chase
You email a partner asking for a contract review.
Day one: noted.
Day three: gentle nudge goes out.
Day five: it surfaces to you with a reminder to follow up directly.
48-hour build
What ships in the first window.
01
Morning inbox triage
Your AI assistant reads overnight mail, drafts replies to common questions, flags urgent items, and surfaces decisions that need you.
You see the distilled version.
02
Pre-meeting briefing
Before each meeting, the assistant pulls CRM data, prior emails with the attendee, open items, and deal status.
Everything you need is in a short brief.
03
Follow-up chasing
Requests for feedback, approvals, or decisions get tracked.
After three days, a gentle nudge goes out.
After five days, it surfaces to your attention.
04
Weekly status synthesis
Your assistant reads team Slack channels, project updates, and customer feedback, then drafts a weekly status update for your leadership or board.
Human control
The employee prepares the work. People keep judgment.
No silent customer commitments
Price changes, refunds, exceptions, and customer-facing decisions require your approval before they leave the mailbox.
Source-backed drafts
Every email draft cites the prior message, policy, or CRM record it used so you review context instantly.
Inbox rules stay transparent
Your assistant operates on documented playbooks, not black-box decisions.
You see what criteria trigger triage, drafting, or escalation.
Do not start here if
- Teams that want to deploy a generic chatbot and let it run unsupervised.
- Workflows where inbox volume is low and follow-ups rarely slip.
- Buyers searching for a calendar tool or scheduling app rather than inbox and follow-up help.
A good first week looks like
- Inbox feels managed without manually triaging every message.
- Drafts arrive ready to review in your voice, saving time on composition.
- Follow-ups surface before they slip; meetings get prepped from live CRM data.
Work scorecard
Before you hire for it, send us the stuck work.
Mia checks the cost, risk, what needs sign-off, and whether an AI employee can clear the first version.
If this is cheaper or safer with a person, the scorecard says that.
WORK + APPROVAL SCORECARD
A short check for cost, speed, quality, risk, and the first safe version.
Work
What keeps piling up?
Replies, reports, checks, handoffs, document chases, approvals, or follow-up that keeps coming back.
Cost
What does it cost now?
Staff time, manager attention, customer wait time, rework, missed follow-ups, or lost revenue.
Quality
What would make it useful?
Better drafts, faster turnaround, fewer errors, cleaner handoffs, and less chasing from managers.
Control
What still needs human approval?
Customer promises, pricing, refunds, legal language, financial decisions, or anything that can damage trust.
Output: work to clear, current cost, what needs sign-off, pricing options, and the smallest useful test.
What will Rebotify take off the team first?
An AI personal assistant is a role, not an app.
It classifies your incoming mail, drafts replies using your prior emails and voice, surfaces the urgent items, prepares you for meetings with CRM context and conversation history, and follows up on items that slip.
The best assistants operate inside your existing tools and handle the repetitive parts so humans focus on judgment and strategy.
Who is AI personal assistant best for?
AI personal assistant is best for founders, partners, operations leads, and busy executives with repeated work, a clear human owner, and enough examples to show Mia what good work looks like.
What does Rebotify deliver in the first 48 hours?
Rebotify finds the stuck task, connects the minimum tools, and puts useful drafts, checks, or summaries into a human approval queue.
Do humans still approve the work?
Yes.
Rebotify normally starts with human approval for customer-facing, financial, legal, or policy-sensitive actions.
The AI employee prepares the work and escalates uncertainty.
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48-HOUR START
Tell us the queue that keeps slipping. Leave with the first AI employee scope.
Clear the inbox chaos
Send the inbox or calendar bottleneck.
Mia maps the first assistant loop to give the week back.