Who actually does the work?

A named senior team, not a bench. We scope every engagement with you, and a senior engineer owns your build end to end. We cap concurrent builds so nothing gets handed to someone you never met.

Do we need technical people on our team?

No. We handle the build, the integrations, and the maintenance. Your team needs to know your business, not Python.

Where does the platform run?

Each client gets its own instance of the Advizr platform, and we host it. One client, one database, one deployment, nothing pooled. Anything it wants to send out waits for someone on your team to approve it.

How does the 5x ROI guarantee work?

Before we build, we agree on the metric and the math in writing. If the system has not returned at least five times its cost within 30 days of deployment, we keep working for free until it does.

Custom AI agents, built around your business.

Your own Advizr platform, set up by our team and supported after launch.

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5x ROI in 30 days, or we work free

Systems running at

Hoyes Michalos
Nurse Next Door
Fedi
UBC Sauder
Merchant House Capital
Picton Investments
Campbell Froh May & Rice LLP
Barnakl
Hungerford
Breez

5x ROI in 30 days, or we work free

How a build goes

We learn how your team works.
We talk with your team about how the work gets done today and show you where AI can save time. If it can't, we'll tell you.
A job broken into steps, with nothing running until you say go.
We load your data.
Your documents, notes and records go into your knowledge base, so your AI works with a full picture of how the business has been running.
The knowledge base reading a drive, the website, your notes, email and uploads.
We set up your agents and workflows.
Built around the tools you already use. Anything that goes out to a customer waits for your approval.
A workflow on the canvas, with an agent step and a step that asks a person.
After launch, we're one message away.
Ask for a change from inside the platform and a person on our team replies.
A message thread with the Advizr team inside the platform.

Your company gets its own Advizr platform.

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Knowledge base

Ask your business anything.

Your AI reads your documents, notes and records, then answers with the sources it used. Your agents work from the same knowledge.

Answers show their sourcesEvery answer links back to the document it came from.
Reads on a scheduleConnect a drive, your website or a folder and it stays current.
See what it knowsOne map of everything it has read, so you can spot what's missing.

Your AI team

An AI team, organized like yours.

Agents sit in departments like sales, support, operations and finance, each with a clear job. Start from 21 ready-made agents or describe the one you need.

Add an agent from a sentenceSay what the job is and it drafts the agent for you to review.
See it work before you commitWatch a trial run on real work before it joins the team.

The Org in the demo workspace: approvals come to you at the top, the Chief of Staff below, six department leads and their reports, with open seats marked — The org chart of AI agents by department, with approvals coming to you at the top.

Workflows and approvals

Automations you can read, with you in control.

Every automation is laid out step by step on a canvas, and you can start from 53 ready-made ones. Anything that reaches a customer waits for your OK.

The workflow canvas in the demo workspace: a consultation request flow wired from entry through two agent steps and a governance gate, branching to an email action and a follow-up task — A workflow on the canvas, each step named, with an approval gate before anything sends.

Describe it and it drafts the flowType what should happen and the steps appear on the canvas.
Know the risk before you approveEach request says what will happen, how risky it is and whether it can be undone.
Pause everything at onceOne switch stops all work if you need it to.

Connections

Works with the tools you already use.

Connect email, calendars, chat, your CRM and finance tools, and choose what each agent can read or send. Each task runs on the AI model best suited to it.