The AI-native workspace.

AI agents take part in your everyday work.

Hub Call started
Hub Call0:00VIDEO2
[1:02] Tomorrow's channel orders just landed. Three files, three formats.
xlsxwalmart_0816.xlsxcsvtarget_0816.csvpdftraderjoes_0816.pdf

They understand what is said in meetings, calls and chat, and handle the repeating work first, like order consolidation, stock checks and task assignment. You review what they prepared, and put your attention on the decisions that matter.

Operational memory

Every conversation becomes operational memory.

Last month's ops review, last week's driver call, today's run data. AI connects what is scattered into one map of what happened, why, and what you already decided.

  1. Mark
    Jul 12Ops reviewTopic

    Someone mentions mornings run late more often than the rest of the day.

  2. Jul 28Driver callTopic

    "We keep waiting at the loading bay."

  3. Aug 1Run dataTopic

    Delays cluster between 9 and 11 in the morning.

  4. Evan
    Aug 5Weekly reviewDecision

    Add one loader to the morning shift.

  5. Mark
    Aug 7TodayDecision

    Move the first dispatch 20 minutes earlier.

Morning runsWaiting to loadMorning delaysCrew assignmentDispatch moved 20 min

A conversation from last month and a decision from today become one piece of operational knowledge.

  • Creative Partners
  • Gradation Group
  • Masilwide
  • Mobidays
  • OAF
  • Puro
  • Godo Architecture
  • rife

No matter how you communicate, work converges into a unified execution workflow.

Whether via calls, meetings, or chats, Markhub AI automatically extracts key decisions, assigns owners, and creates actionable operational tickets.

01

Calls

As soon as a call ends, voice is transcribed and key decisions and to-dos are generated within the same work session.

Hub Call started
Hub Call0:00VIDEO2
[1:02] Tomorrow's channel orders just landed. Three files, three formats.
xlsxwalmart_0816.xlsxcsvtarget_0816.csvpdftraderjoes_0816.pdf
02

In-Person Meetings

Record the room, and AI analyzes the context to automatically identify decisions and assign task owners.

0:00In-Person Meeting
Today
Markmenow
In-Person Meeting started
[1:02] Line two keeps jamming. The new clamshells are not seating right.
03

Team Chats

Even amidst lengthy chat threads, AI extracts core agendas and organizes them into a single operational object (Mark).

Tomorrow’s channel orders — 2,500 lb
S
Sam09:12
Three channel files came in overnight. Walmart 1,200, Target 800, Trader Joe’s 500.
J
Jonah09:14
We can only cut 2,200 lb tomorrow morning. That is 300 short.
A
Ava09:17
Walmart’s OTIF window is the tightest. Trim Target and keep the other two whole.
Packing starts at seven, so the split has to be posted before six.
Markme09:19
Agreed. Tell Target before they load the truck, not after.
MAKiAgent09:20
Consolidated the three channel files and matched them against tomorrow’s harvest. Split recorded: Target 500 lb, Walmart 1,200 lb, Trader Joe’s 500 lb.

Regardless of the communication channel, every conversation ends up as work someone owns.

Mark Sessions: how a conversation becomes work.

One piece of work lives in one session. The conversation, the decisions and the to-dos stay in the same context instead of mixing together.

Your first message becomes a session.

Start it as a chat, a to-do or a note. Whichever you pick, it continues inside one work context.

ChatTo-doNote
Tomorrow’s channel orders just landedLive Context
Mark1:02Three files, three formats.Evan1:03Got it. Checking now.Mark1:04Ops Agent, take all three and give us one view.Ops Agent1:04Reading them now.Ops Agent1:06One order sheet. 2,500 lb ready to cut.

That session becomes a ticket when it needs to.

Add an owner and a due date. The conversation and the decisions behind it come along.

Tomorrow’s channel orders just landed
Mark1:02Three files, three formats.Mark1:04Ops Agent, take all three and give us one view.
Convert to to-do
Not startedIn progressDonePendingNot startedIn progressTomorrow’s channel orders just landed
DateDue today
OwnerEvan
Approver+
Comments
Mark1:02Three files, three formats.Mark1:04Ops Agent, take all three and give us one view.
Evan1:26changed status fromNot startedtoIn progressOps Agent1:31One order sheet. 2,500 lb ready to cut.

Nothing is mixed together, so the AI actually understands.

Each session holds one piece of work. That is what lets the AI tell, in real time, what is being discussed, what has been decided and what is left.

Mark

Short again? Nobody flagged this yesterday.

Live Context
TOPICS
No topics tracked yet.
DECISIONS
No decisions made yet.
DRAFT TO-DOS
No to-dos extracted yet.

Today’s flow, organized on its own.

See who did what, what was decided, and what is still open.

Team flowRefresh
Thu, August 16TodayMonthly
AI briefing
Shortfall absorbed by Target, clamshell lot pulled before the truck
  • Mark took the shortfall call and set the Target trim, then approved the packing split.
  • Evan consolidated four channel order files and raised the clamshell seal failure with the supplier.
  • Sam re-packed 40 Walmart cases before the eleven o’clock truck and flagged store 3 again.
Overdue 3 Due today 4
Topics
113
Decisions
3
Actions
31
Done
8
Active time16h 50m
Members
Talk → Context → Decision → Outcome

Markhub AI goes beyond simple summarization. It reads your knowledge and operational data to guide decisions that maximize profit.

  1. 01TALK

    Natural Team Conversations

    You never have to address an agent. AI picks up the calls, meetings and field audio your team already has, and prepares what comes next.

  2. 02CONTEXT

    Integration with Existing Business Data

    Conversations merge seamlessly with the performance records and operational data your company already tracks. No new systems required.

  3. 03DECISION

    Root Cause Analysis & Actionable Decisions

    AI pinpoints root causes from conversation and data, automatically proposing next steps and assigned owners that maximize both profitability and operational efficiency.

  4. 04OUTCOME

    Compounding Operational Memory

    Decision logic is saved as organizational memory, permanently eliminating repeated inefficiencies.

Conversation reveals the cause. Data provides the proof. Only by connecting both can you identify inefficiencies in real time and act immediately.

Why Markhub

ERP only logs numbers; AI notes only transcribe text. Neither drives the decision-making and management that execution needs.

ERPAI notesMarkhub
Quantitative operational data analysisRevenue · performance · metrics
Field conversation and context analysisCalls · meetings · chat
Understanding what happenedOutcome
Understanding why it happenedContext
Automated action items and owner assignment
Institutionalizing decision logic

No need to replace your existing tools. Markhub integrates on top of your current stack, analyzing data and conversations together.

Don't toss out the tools you use. They become part of the mark·hub too.

No need to break your flow. Keep going as you were.

Era of Execution

Teams don't need more summaries. They need execution.

A summary ends when you finish reading it. Execution stays. In Markhub, people and AI agents pick up work from the same queue.

Conversation becomes the team’s execution.

Summary apps, todo apps, every kind of productivity tool. There's so much for a person to do. And so much to learn. In Markhub, just talk.

Communication → Execution.