Three phases.
One intelligent system.
mlti.ai learns how you work, builds a playbook from your real process, and runs it autonomously across your tools. Here is exactly how each phase works.
Teach it how you work
The experience feels like a guided interview, not a toolchain. The extension enriches the experience but never gates it — voice-only teaching works too.
Install the chrome extension
One click from the Chrome Web Store. No permissions to your tools yet — it just sits in your browser, ready when you are.
Press one button to start
Voice and recording start together. Work normally while talking through your process — the agent listens and watches simultaneously.
The Understanding panel updates in real time
As you work and talk, the agent shows what it's learning — phases, highlights, and key decisions appear live. You can see the playbook taking shape.
The agent asks clarifying questions
"What if they don’t respond?" "Is there a case where you’d reject this?" The agent drives a guided interview, capturing your reasoning and edge cases — not just your clicks.
Wrap-up and playbook generation
When you’re done, the agent drives a wrap-up — confirming what it understood about your process. Then the playbook generates with visible progress: phase cards show each part being built. Review and approve — it’s plain English you can edit like a document.
No need for your IT team
The extension just observes, no integrations needed. It can see your screen but it can't touch your tools. You grant tool access only after you've seen the playbook and trust the system.
Let it run your process
The agent follows your playbook across your real tools. It reasons, acts, waits, and escalates — exactly how you would.
Connect your tools
Now you grant OAuth access towhatever tools your process needs. The system explains why each integration is needed and uses your credentials to work.
A form is submitted
A new client fills out your intake form. The agent spins up with the submission data, your playbook, and access to every tool it needs.
The agent reasons and acts
It qualifies the lead against your criteria, sends a personalized welcome email, updates your CRM, creates an invoice — exactly the way you would. Every decision follows your playbook.
It sleeps and waits
Waiting for a signed engagement letter? A calendar booking? A payment? The agent sleeps until something happens. No polling, no wasted compute. It just waits — for hours, days, or weeks.
When something happens, it wakes up again
A reply comes in, a document is uploaded, a payment clears. It wakes up, reasons about what changed, takes the next actions, and goes back to sleep. The cycle continues until the process is complete.
When something needs a human, it escalates
An unusual request, a large deal, a compliance question. It doesn’t guess — it escalates to you with full context and a suggested action. You decide, it continues.
Everything is logged
Every decision, every action, every piece of reasoning. A complete audit trail you can review anytime. If something goes wrong, you can trace exactly what happened and why.
Keep control
See every running process and understand what the agent is doing at each step. Step in to adjust mid-flow, or let the system surface patterns and suggest playbook-level improvements over time.
Pattern-based suggestions
Pattern: 3 of your last 5 C-corp leads were referred out.
Auto-refer C-corp inquiries to your partner firm?
SuggestedPattern: Follow-up emails at 48h get 2x more responses than at 72h.
Change follow-up timing from 72h to 48h?
ApprovedPattern: Clients who book within 24h close 85% of the time.
Fast-track these clients: skip the qualification call?
ReviewingThe result
Week 1
All manual. All you.
Week 4
Exceptions only
Week 1: you handle 15 processes manually. Week 4: you handle 3 exceptions. The agent handles 12.
Ready to teach it your process?
We're onboarding early partners who want to be the first to multiply themselves with mlti.ai. Tell us about your process.
No credit card. No commitment. Just a conversation about your process.