scattered
Context is scattered
The work lives across tools, meetings, screens, and people's heads. AI cannot act reliably when the company brain is missing.
Comms
CRM
Docs
Meetings
no shared brain
and the rest lives in people's heads
Company Brain · Proactive AI Agents · AI Governance
AI that watches how you work.
Then does the work for you,
unprompted.
Kengo learns your work by watching you do it: every screen, every keystroke, every meeting. Then it drafts, acts, and builds the automations for your repetitive work. Set up your Mac once. Then it learns without repeated prompting.
Kengo — your operator
🔓 AutoChatAlways on. Ready for the next thing.
Morning, Maya. I read your overnight activity and updated your brain: Northwind's renewal is at risk, quiet 6 days, and Dana's your champion.
Predicting your next move
You draft these follow-ups the same way every time: recap, next step, calendar link. I've watched you do it 3× this week.
Draft 3 follow-ups now?
🪢 LeashDana Reyes, Northwind
Great speaking yesterday, next steps
Hi Dana, thanks for the time yesterday. As promised, here's the rollout case study (it mirrors what SimilarCo did last quarter). Grab 20 min next week?
Approved3 drafts · in your inbox
Done in 4 seconds. 3 drafts in your inbox, ready to send. Northwind's includes the case study you sent SimilarCo last month.
Recurring routine detected: Post-demo follow-up
Run this automatically every time a demo call ends?
Next time, this runs itself: instantly, free, forever. No AI needed once I've learned it.
Post-demo follow-up
runs on call end · ⚡ free replay
That's 40 minutes back today. Anything else? Just ask. I'm always on.
Illustrative
Used by professionals everywhere to become 10x more productive.
- Parloa
- Parloa
The problem
Becoming AI-native breaks in three places.
The hard part is not finding another AI tool. It is giving the AI context, work, and control without turning your company into a pile of brittle scripts.
blank build
Automation starts blank
You have to decide what to delegate, wire every integration, then debug the system when the duct tape breaks.
Start
Build
Run
Low-code
Vibe-code
Run failed · retry 3/3 · now you debug it
no control
Shadow AI has no control plane
Once agents run everywhere, you lose control: no traceability, no security, no identity, no approvals, no cost limit, and no switch to stop it all.
Agent
TraceSecOwner
Costagent_47
$?.??
agent_12
$?.??
agent_08
$?.??
Spend, no capCapped · owned · traced$1,240$200 cap
The solution
The operating system for AI-native companies.
It watches how you work, learns your company, remembers everything, and does the work for you.
Sense & Document
Everything you do
Ambient captureLive
Recording meeting12:04
Acme renewal call · 4 people
“…renew at the higher tier if we include onboarding.”
Typedinvestor update draft
ClickedStripe → Invoices
ReadNotion / Q3 roadmap
Act & automate
The agent
Kengo agentRunning
Noticed a routine
You send the investor update every Monday. I can take it from here.
Automate itNot now
Weekly investor update0/3 · $0.03
Ready to run
Self-improve
The systems thinker
Systems agentHealthy
System health
98.6%1.2
Monthly spend
$1,2848%
Auto-resolved an incident
Restarted a stuck worker · queue 12k → 0 · 2m
Merged 3 duplicate workflows1-67%
Company Brain · the context layer
One living memory you and the agent can just ask.
Not a search box or a chatbot over documents. A living, structured map of how your company actually works, so you and the agent can act on it.
GovernanceAll systems active
$642 / $1,000 cap
TimeActorActionStatusCost
14:07Ops agentRefund blocked · needs approvalHeld—
Capabilities
Five things a real AI coworker does that a chatbot never will.
It does not just answer. It notices, builds, runs, remembers, and keeps the whole system working after you stop looking.
Kengo
Suggested to delegate
Draft replies to demo requests
File receipts to the Q3 sheet
Kengo noticed a pattern
You’ve forwarded 3 vendor invoices to accounting this week. Want me to route these automatically?
3 similar emails · Tue–Thu · from billing@
Set it upDismiss
The difference
They wait to be asked. Kengo already started.
Every other agent is powerful but empty. It does not know you, so you spend your life feeding it context, access, setup, and fixes. Kengo already knows.
Ordinary AI tools
Kengo
Getting started
Ordinary AI tools
You paste the context and re-explain yourself every session.
Kengo
It already knows your company. It learned by watching how you work.
Who stays in the loop
Ordinary AI tools
You prompt, wait, copy the output, and prompt again. You are the loop.
Kengo
It works while you are away and checks in only when it needs you.
Setup & access
Ordinary AI tools
Wire every integration, key, and rule by hand before anything runs.
Kengo
No wiring. It already has your tools and context, ready to act.
What each task costs
Ordinary AI tools
You pay for every run. The same task costs again next week.
Kengo
Recognized once, then replays free, forever. Zero AI calls.
Staying in control
Ordinary AI tools
No record of what ran, and access is all-or-nothing.
Kengo
Every action scoped, logged, and reversible. One kill switch.
Questions
Ask us anything.
The answers matter because Kengo is ambient, proactive, and always on. So ask it yourself.
K
Kengo
honest answers
K
Ask me anything about how this works. Tap a question below, or type your own.
Stop doing the work you've already taught it.
Sign up and put an operator that already knows how you work to work, 24/7. You stay in control the whole way.
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