AI agents that belong to your company

Connect the tools your team already runs on. Botyard turns them into a shared AI colleague that works on schedule, publishes apps, and waits for approval before it acts—one your IT can sign off on.

  • Slack
  • Salesforce
  • Google Drive
  • Snowflake
  • Databricks
  • Notion

Finance

Weekly margin-risk brief

The ask: “Build a weekly margin-risk brief for our brand teams.” What the agent does: Confirms which finance sources it is approved to read. Summarises the week’s biggest margin movers. Publishes the brief as a Bot Page, then asks before sharing it.

Personal copilot → company agent

The same AI. A completely different operating model.

Personal copilots make one person faster. Botyard turns that capability into an agent the company can run, share and govern.

When it runs

Personal copilot

When you ask

Depends on one person, one session and one open laptop.

Botyard agent

Whether you're there or not

Wakes up on schedule, does the work and reports back.

What it can access

Personal copilot

Your login

Tools and credentials sit under one individual's account.

Botyard agent

What you approve

Pick the systems, tools and actions it may use. Everything else is off-limits.

What it remembers

Personal copilot

Your conversations

Context builds up in one person's private chat history.

Botyard agent

Shared company memory

Decisions and context carry across colleagues and over time.

Where the work goes

Personal copilot

Back to you

Useful output disappears into a personal conversation.

Botyard agent

To the team

Results become shared apps, tasks, reports and conversations.

The model may be the same. The ownership isn't.

One agent. A whole team.

Shared schedule. Shared memory. Shared rules.

One Pricing Agent, three people, one week. Nobody rebuilt context in a private chat.

1

It runs the work, on schedule

Every weekday at 06:00 — whether anyone is online or not.

2

One memory, not one per person

Alice gets the rule Bob set in July — without asking Bob.

3

It enforces your rules

Only the person who set the rule can change it.

Self-serve

Build your first company agent.

Four steps, one conversation. Start on your own, or book a demo and we'll build the first one with you.

  1. 1

    Describe the job

    Say what it should do, for whom and how often — in plain words.

  2. 2

    Approve its access

    Choose the tools and data it may touch. Secrets stay in the vault.

  3. 3

    Put it on a schedule

    It runs on its own machine. Try it on real data before it goes live.

  4. 4

    Share it with your team

    Everyone works with the same agent and the apps it publishes.

The operating layer

Everything around the model becomes shared.

Workforce tasks

One record of the work.

Each task carries the brief, the owner — person or agent — and the files it produced, so anyone can pick it up where the last one left off.

Workforces

Work you can see moving.

Agents and people move tasks across the same board — no chasing status in private chats.

Bot Pages

Apps, not transcripts.

Agents host dashboards and approval apps as Bot Pages — sign-in-protected links colleagues open directly.

Approvals + Runtime Vault

Access on approval. No secrets in chat.

When an agent needs a new tool, a named person approves it. Its secrets arrive as short-lived leases, never as text in chat.

Enterprise readiness

Individually boring controls. Together, why security says yes.

Identity & access

Every agent is a scoped identity with a named owner. The actions that matter wait for a named human.

  • Bot and user identity
  • Named ownership
  • Human approval gates

Data & access boundary

EU-hosted, on credentials the organisation holds, reading only the sources it is approved for.

  • EU-hosted execution
  • Short-lived secret leases
  • Tool assignment and revocation

Record & oversight

Every approval and hold is written against the person who made it. Roles decide who sees what.

  • Reviewable work records
  • Roles and permissions

Book a demo

Bring us one workflow that already creates value.

We'll show you how it can run for the whole team—with shared context, approved access, and human control.

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AI is entering the workforce

Make it belong to yours.

Start with a workflow, a team, and an agent everyone can use.