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AI agents for your organization

AI agents,
organized around your business.

Give agents recurring work across your teams, from checking documents to preparing a shared recommendation. Aegis connects that work to your roles, procedures and approval rules, with a person responsible for each role.

Start with one team. Expand across your organization.

Northstar Operations · Fictional organization with named people and linked agents.
From your question to a team conversation

Your agent helps you prepare. Your team takes it forward.

Check the findings with your agent, choose what to share and bring colleagues into the discussion.

Silent demo · captions includedFrom a question to a team conversation · 28 seconds
Fictional Finance example: Sofia reviews a summary before sharing it with Marcus.

For a closer look, use the video’s fullscreen control or read the story.

Read the story and demo details
  1. Work through the question with your agent.
  2. Review what you want to share. Nothing is posted at preview.
  3. Bring the findings to the team. Choose the discussion they belong to.
  4. Keep colleagues in the conversation. Keep decisions with accountable people.

Fictional organisation, people and invoice facts. Recorded in a local development environment; an automated operator uses Sofia’s and Marcus’s accounts. Edits shorten navigation and waiting. This example shows discussion and follow-up, not invoice approval or payment. The invoice facts are supplied in the conversation; no document upload or connected-system lookup is shown.

Download captions (VTT) · Download subtitles (SRT) · Download transcript

How roles, people and agents fit together
From people to agents

A clear role. A person responsible.

The chart connects each agent to a job, the instructions it follows and the person responsible for its work. Inspect who does what before giving the agent a task.

Give each role the setup it needs

Responsibility
Define the job and the person accountable for it.
Instructions and information
Add the procedures to follow and the records the agent may use.
Authority
Set allowed actions, spending limits and when a person must decide.
Working with other teams
Configure who can pass work or share information across departments.

Reporting to a manager does not automatically grant access to every record. You set those permissions.

See two teams work together →

Explore the organization model and architecture →

Sofia owns Accounts Payable and reports to Marcus, the CFO. The selected role links to its agent.
Inspect a shared handover and its reviewed result
Work you can inspect

A clear handover for the next shift.

In this separate example, Daniel prepares the team’s handover instructions. Avery uses the same specialist in a saved workflow, then manually saves the result for Daniel to review.

One shared method. A result someone checks.

The handover lists what is waiting, what is cleared and who follows up. Both colleagues use the same format; a named reviewer still checks the result.

See shared expertise become reviewed work →

Watch Finance and Operations answer a staffing question →

Fictional demonstration using two administrator accounts. Reuse depends on permissions. Saving the document for review is a manual step; no inspection or payment is performed.

Actual result preview

The handover Daniel reviewed

Generated for Avery, saved unchanged to Knowledge, then approved as a fictional demonstration summary.

Handover reference

NS-OPS-0907

Dock status

  • Dock A: 12 pallets awaiting inspection.
  • Dock B: 7 pallets cleared.

Follow-up owner

Lena Ortiz

Boundaries

This is a fictional demonstration summary and no inspection completion is confirmed.

Exact wording from Avery’s output, presented as readable text. Read the original Markdown.

Explore the role, procedure and limits
From setup to work

See the role, procedure and limits together.

See how a role’s owner, assigned instructions and saved limits fit together. The short tour also shows the setup check and existing active-agent list.

Watch the role, procedure and limits walkthrough · 55 sec
Silent demo · captions includedWho owns each assistant? · 55 seconds
The saved organization connects the owner, reporting line, instructions and separate AI spending limit. Four setup checks pass.
Read the transcript

A fictional company assigns Sofia an invoice-review assistant, shared instructions and limits.

Saved rules require review of payments; the film shows configuration checks.

Setup checks do not prove an invoice was processed, a payment blocked or a new assistant deployed.

Fictional demonstration. Edited recording; saved-record views are labelled.

  1. 00:00:00.000 — A fictional company assigns AI owners.
  2. 00:00:02.961 — Edited recording of the real workspace.
  3. 00:00:06.000 — Sofia handles supplier bills. She reports to Marcus, head of Finance.
  4. 00:00:14.000 — Give Sofia's AI assistant the invoice-review instructions.
  5. 00:00:19.000 — Saved instructions require review above $1,000.
  6. 00:00:22.398 — They set a maximum amount of $5,000.
  7. 00:00:25.000 — The assistant uses invoice text supplied.
  8. 00:00:28.952 — No extra data sources or tools are linked.
  9. 00:00:33.000 — The saved rules require payment review. They forbid bank-detail changes.
  10. 00:00:38.000 — Set a separate $10 limit to run AI.
  11. 00:00:43.000 — Check the setup.
  12. 00:00:44.600 — The check passes. No issues found in all four checks.
  13. 00:00:49.000 — Nine AI assistants are active. This is the saved list, not a preview.

Download captions (VTT) · Download subtitles (SRT) · Download transcript

One application · Finance

Catch an invoice problem before it goes further.

A submitted invoice names the wrong buyer. The agent sends it for review; Marcus rejects the request and asks for a corrected invoice.

Start with the document and the procedure.

Direct file submission is demonstrated. Assign what to check, what information the agent may use and when a person must decide.

Email and connected-mailbox invoice intake are not configured or demonstrated.

Keep the decision with the owner.

The 60-second example follows the same document through a recorded rejection. It does not approve or make a payment.

See one submitted invoice through review →
For your team

A familiar workspace, with access based on your role.

These six screens come from separate demo logins. They show how people start work; the videos show the recorded outcomes.

Company-wide oversight

Ask for a risk summary before a board meeting. This configured workspace shows the CEO’s agent and an unsubmitted request using supplied fictional facts.

See Finance and Operations contribute to a decision →
Fictional demo · Agent selected; request not submitted. Supervised is the draft setting shown.

Finance questions in one place

Prepare a finance-risk question using supplied figures. This is an unsubmitted draft, not a completed report or payment instruction.

Plan what to measure in an evaluation →
Fictional demo · Agent selected; request not submitted. Supervised is the draft setting shown.

Review systems and risks

Prepare a systems-risk review with a named agent. This unsubmitted draft uses supplied facts; it does not connect to business systems.

Inspect integrations and their current scope →
Fictional demo · Agent selected; request not submitted. Supervised is the draft setting shown.

Give HR a shared way to work

Use a shared workspace to prepare a policy question. The HR leader’s agent is selected and the request is drafted; no answer or approval is shown here.

Read the separate HR handover example →
Fictional demo · Agent selected; request not submitted. Supervised is the draft setting shown.

Start with the work on your desk

Prepare an invoice-exceptions request for the Accounts Payable Lead Agent. This unsubmitted draft does not show queue access or payment approval.

See a submitted invoice reach a human decision →
Fictional demo · Agent selected; request not submitted. Supervised is the draft setting shown.

Prepare an onboarding request

The People Services Lead drafts an onboarding checklist request with supplied instructions. The request has not been submitted.

See a separate onboarding summary and review →
Fictional demo · Agent selected; request not submitted. Supervised is the draft setting shown.
Before you decide

The questions your team will ask.

Will it fit our systems?

Aegis supports connectors and reusable procedures. Agree the specific connections, permissions and testing your first workflow needs. Explore integration and setup →

See how instructions improve through review
After the first useful task

Review what worked. Improve the procedure.

Aegis can propose reusable instructions from recorded work for a person to review. Keep what helps, reject what does not, and control lasting changes.

Watch a procedure being reviewed and improved →
Evaluating or introducing Aegis?

A clear starting point for the conversation.

Aegis is an enterprise application for organizing and running AI agents around business roles. Teams assign procedures, connect tools, coordinate work and review results while keeping responsibility with named people.

The demonstrations use fictional company data. They are product examples, not customer results.

Start with one team and one useful task.

Bring one team and one recurring task. We’ll demonstrate how Aegis could support it, then agree the scope and cost of a practical evaluation.