The digital workspace 2.0

A company of ten, with the output of a hundred.

A call with the people who built it.

Deployed agents, each at work on its own mission.

Every workspace names its own agents. These are examples.

  1. Operations Directorworks on Tasks

    Maya

    Keeps every piece of work owned and dated.

    What it doesWhat you get
    Turns what was agreed into tasks with an owner and a dateNothing agreed is lost
    Moves a card when the work moves, and sets its due dateA board that is true
    Names overdue or stuck work in the brief and nudges its ownerYou hear before it is late

    tasks: editcrm: viewemail: held

    Maya, drawn as a grey heron in a charcoal wool jacket against a flat deep green field
  2. Salesworks on CRM

    Leo

    Keeps every lead captured and every deal current.

    What it doesWhat you get
    Files leads from your website chat and your booking pagesNo enquiry is lost
    Proposes the next stage after a call, for a person to acceptA pipeline that matches reality
    Drafts the reply to a quote request, held for you to sendFaster replies, still yours

    crm: editpages: viewemail: held

    Leo, drawn as a red fox in a navy blazer against a flat warm ochre field
  3. Outreachworks on Outreach

    Ferro

    Writes your sequences and reads every reply.

    What it doesWhat you get
    Writes every email of a sequenceCampaigns go out on time
    Reads each reply and marks it: interested, not interested, asked to stopYou see who wants to talk
    Drafts the answer and waits for you to send itNothing leaves without you

    outreach: editcrm: viewemail: held

    Ferro, drawn as a black ox in a rust work jacket against a flat dusk blue field
  4. HRworks on Chat

    Brains

    Answers your people's questions from your own policy pages.

    What it doesWhat you get
    Answers policy and onboarding questions in chat, naming the pageOne answer for everyone, with its source
    Turns a request made in chat into a task for whoever approves itNo request lost in a thread
    Mentions the owner when that task waitsNothing stalls quietly

    pages: viewchat: edittasks: edit

    Brains, drawn as an elephant in a soft grey suit jacket against a flat brick red field

What your agents can do

Give an agent a job. These are the ones customers start with.

Win new business

  • Answer website visitors 24/7
  • Follow up every website lead within the hour
  • Write and run cold email campaigns
  • Answer cold email replies for you
  • Nudge deals that have gone quiet
  • Turn a quote request into a draft quote
  • One-page brief on any competitor
  • Draft LinkedIn posts from your wins

Look after clients

  • Everything about a client on one page
  • Prep me before a client call
  • Hand a new client from sales to delivery
  • Flag clients at risk every week
  • Draft replies to customer emails
  • Turn customer questions into FAQ pages

Meetings that turn into action

  • Take notes in any meeting, silently
  • Recap every meeting with action items
  • Turn meeting action items into tasks

Keep the team moving

  • Never lose a promise made in chat
  • Chase overdue work, once, politely
  • Post the team's daily standup
  • Your morning brief, written for you
  • Answer your team's questions from your docs
  • Call you when something needs your yes

Watch the money

  • Daily check of your books and cash
  • Catch bookkeeping mistakes before month end
  • Chase overdue invoices with friendly reminders
  • Weekly cash outlook: what comes in and goes out
  • Weekly project hours and budget report
Book a demo

Pick three jobs and we set them up with you.

MIT NANDA, The GenAI Divide: State of AI in Business, 2025

Be one of the 5%.

In MIT's 2025 study, 5% of company AI pilots moved profit and loss. They were the ones built into the day's work, not left at the demo.

The 5% that landed share one trait: memory and learning inside a real workflow. Expogentic is built around that trait, and the rest of this page shows it.

Retain

Living Pages

Versioned and zero-delete, so knowledge compounds instead of evaporating in a chat window.

Context

Knowledge Base

Agents read your systems directly. Schema gated, role gated, logged.

Improve

Persistent memory

People, projects and promises, carried across every run. On day ninety it still knows day one.

Every time the models get better, your agents get better, on the same knowledge. The return compounds.

A telephone switchboard, every cord running into one socket.

One workspace replaces all of these.

Expogentic

  • Jira
  • Asana
  • Trello
  • Slack
  • Notion
  • Confluence
  • Airtable
  • Calendly
  • HubSpot
  • Google Forms
A desk crowded with five small screens in a tangle of cables, each showing one tool, and beside them one green laptop with its cord coiled.
Those tools, with AI addedExpogentic
Who is the agent?A feature inside your seat. It acts as you.A colleague with its own account, its own permission group and its own schedule.
What can it see?The page you have open, and whatever you paste.Your company's whole Knowledge Base, fenced by the same grants your people get.
Where does the data live?Their database, shared with every other customer.Your own database, one per company, read live.
When does it work?While you are typing at it.On a schedule, overnight, and it reports back into the chat.
What does it replace?Nothing. It sits beside them.Keep what you like and connect it. Replace what you do not, and stop paying for it.

Four more things it does for you.

  1. The brief, written before you arrive.

    You getWhat is at risk, who owns it and why

  2. Booking pages, like Calendly.

    You getA client books a time, and it files a lead

  3. Every agent change waits for review.

    You getAccept, modify or reject in one place

  4. Your data, as tables you can edit.

    You getOne database, nothing to reconcile

An agent has an account, not an API key.

The matrix that decides what a person may read decides what an agent may read. You can see every grant, and change any of them.

Permission groupTasksPeople & CRMPagesChatOutbound emailagentsTables
LeadershipFullFullFullFullFullFull
StaffEditView & suggestEditEditNoneView & suggest
Operations agentAIEditView & suggestEditEditHeld for approvalView & suggest
Website agentAINoneNoneView & suggestEditNoneNone

None means the agent does not know the table exists.

A staff member, in their own ClaudeHow much did we sell last month?
The agentFinance is not in your permission group, so I cannot show revenue. Here is what you may see: closed jobs by service.

The wall that tells a person no tells the agent no too.

Book a demo

See your own permission groups on a call.

Three people at their desks while five agent shadows, twice their size, carry the work across the wall
A long office building at night seen across a wet street, three windows lit: a drafting table, shelves of files, a desk with a plant.

Business hours end. The work does not.

Expogentic runs the night shift.

Role-shaped, not role-replacing.

People were made for creative work, and nobody should spend their best hours on work a machine should have carried.

It does the work
The board, the books, the outreach. The function, not a summary of it.
It brings analysis
What is slipping, what the numbers mean, what to do next.
It never claims the seat
You stay accountable. Nothing leaves without a person.
Two people sketching at a drafting table while a heron in a jacket carries folders to a filing cabinet.

What stops happening

  • The status meeting that only moves information between two people.
  • The Monday reconstruction of where everything stands.
  • The CRM three weeks stale because updating it is nobody's job.
  • Context walking out of the building when a person does.

What starts

  • The brief is filed before you arrive.
  • The CRM updates itself from the call.
  • The board and the database are one thing.
  • What a person knew stays when they leave.
A green steel strongroom door standing open, a filing cabinet on wheels inside, ready to roll out.

Your data, in your own database.

Does my data train somebody's model?

No. Your data is context for a call, never training for a model.

Where does it sit?

Each company's tables live in that company's own database, and its files in its own store. Every answer is capped by the least privileged person who will read it.

Can I leave?

The database goes with you. It is ordinary Postgres, readable with ordinary SQL.

Priced by the month. On your own AI provider.

Your agents run on the AI provider you prefer, on your own account. You pay us for the platform, your users and your agents.

Starter package

$400

a month, on a 3 month contract

2 users
$100
1 AI agent
$100
Platform
$200

Every month

PlatformSetup, ongoing support and follow up on your requests
$200 a month
Each userTheir own personal agent is included
$50 a month
Each AI agentWorks on its own, like an HR manager, a sales specialist or a project manager
$100 a month

Also available

AI consultingPreparation and follow up included
$200 a session
Agent hostingRuns on a computer and spends no API tokens
$200, plus your own AI subscription
Software developer agentHosted the same way
$400, plus your own AI subscription

Prices in US dollars.

Book a demo

We walk you through it on a call.

Questions you might have, if you are discovering Exponential Agentic Growth.

How is this different from the AI my team already uses?

That one waits to be prompted. These hold an account, a permission group and a schedule, and work while nobody is watching.

Can an agent email somebody outside the company?

Only through the approval queue, to an address on your trusted list. A person presses send.

Does this replace people?

No. It carries the chasing, filing, drafting and remembering. Every example on this page ends with a person deciding.

Where do I start?

Ask below. We onboard a small number of companies by hand, so the Knowledge Base is set up properly rather than left empty.

Which tools does it work in today?

Email both ways, Slack both ways, and MCP with a token per person, so your own Claude reaches the Knowledge Base. Jira, Git and GitHub are coming.

Ask for a workspace.

A desk by a window at sunrise, a stack of finished papers tied with ribbon, a cup of coffee still steaming.
Book a demo

A call with the people who built it.

What happens next

  1. A person reads your request.
  2. We reply by email and set up a call.
  3. We set up your workspace with you.

Tell us who you are and what your team spends the week on. A person reads every request.

This form creates no account. Access is opened by a person, one workspace at a time.

Want to sell this to your own clients? Say so in the optional field above.