AI that automates how your team coordinates and communicates.
Great work doesn't get stuck on the work—it gets stuck between people. Alknoma fixes that.
Alknoma is the coordination layer for modern teams—AI that automates the chasing, follow-ups, and context-sharing so the right work reaches the right person, and nothing gets lost between people.
To everyone
When communication works, it works for everyone
Not a dashboard for managers. A coordination layer that quietly does right by every person on the team—whatever their role, seniority, or time zone.
For the new joiner: Finds the one answer without DMing four people to get it.
The mundane tax
It isn't the work that drains the day.
It's the chasing around it.
“Where's that doc?” “Any update?” “Who owns this?” Thousands of tiny coordination messages every week—and almost all of it is perfectly automatable.
The endless chasing
“Where's the doc I asked for last Wednesday?” “Any update?” “Did you see my message?” Thousands of tiny messages a week just to nudge work forward—and almost all of it is perfectly automatable.
Death by follow-up
Someone has to remember who owes what, ping them, wait, ping again, then chase the chasers. It's relentless, low-value, and it never lands on a calendar.
Context goes missing
The answer lives in a Slack thread, a half-updated doc, and a comment from last week. No one source of truth—so everyone re-asks instead of finding it.
Waiting is the operating system
Approvals, reviews, time zones. Silence isn't consent—but naive tools treat waiting as failure, so work quietly disappears into hidden queues.
What we believe
We treat communication as the work
So we design for how teams really operate—partial context, shifting priorities, people offline—instead of an idealised workflow that collapses the moment real people touch it.
Context should travel, not be chased
The right background arrives with the ask—so no one has to reconstruct the story before they can act.
The right person, at the right moment
Not everyone, all the time. The decision reaches whoever actually owns it, with enough context to answer quickly.
Silence isn't consent
Waiting is made visible and followed up—so nothing stalls quietly in someone's inbox while the team assumes it's handled.
The cost of friction
Coordination is quietly the most expensive thing your team does
Lost annually per organization to fragmented knowledge and context
Lost each day to mundane back-and-forth—chasing updates, hunting for files, relaying messages
Of the workday consumed by coordination overhead, not the work itself
Our belief, made real. Ayven is the Super Coordinator that lives in your Slack and Teams—automating the thousands of small coordination messages: chasing inputs, finding what was promised, untangling who owns what, and keeping projects moving—so people stay focused on the work that matters.
You approve. Ayven ships.
- Chases the inputs so people don't have to
- Routes each decision to whoever owns it
- Makes waiting visible—nothing stalls silently
- Nothing ships without your approval
Insights
From our blog
The Coordination Tax: Why Teams Lose More to Talking About Work Than Doing It
The coordination tax is the time and attention a team spends keeping work aligned—chasing updates, hunting for context, sitting in status meetings, and waiting on replies—rather than doing the work itself. It scales faster than headcount, and most teams never measure it. Here's how to see it and shrink it.
AI Workflow Debt: The Hidden Tax Slowing Your Team Down
AI workflow debt is the accumulated drag of half-finished automations, brittle prompt chains, and tools that don't talk to each other. Like technical debt, it compounds quietly—until coordination, not capability, becomes the bottleneck. Here's how to recognise it and pay it down.
AI Coworkers vs Coordination Layers: Two Very Different Bets on Team AI
Most AI-for-teams products make one of two bets: build an AI coworker that does the work like an extra headcount, or build a coordination layer that automates how work moves between the people you already have. They solve different problems. Here's how to tell which one your team actually needs.