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Forward deployed engineers

Engineers who stay until your team runs on AI.

They set the strategy, build the systems and set up each of your people until working with AI is how the work gets done.

Your custom strategy and systems, delivered in under a month. Your named people using them every week by day 30. Or we keep working for free until both are true.

How long each client took to first real use.

From the day each system was started to the day it first did real work, read from the systems' own timestamps.

  1. Hoyes Michalosfrom repository created to the first cited answer1 day 6 hoursSystem loggedby Advizr, 20 Aug 2026
  2. Nurse Next Doorfrom repository created to the first client sign-in4 days 19 hoursSystem loggedby Advizr, 20 Aug 2026
  3. uQueuefrom platform handover to the first province live8 daysSystem loggedby Advizr, 20 Aug 2026
  4. Picton Mahoneyfrom the engine's first commit to the first client sign-in17 daysSystem loggedby Advizr, 20 Aug 2026

What you get

One engagement. Three layers.

The Platform, the systems we build on it and the engineers who run the work. You buy all three together, so one team answers for the result.

One engagement. Three layers. The Platform, the systems we build on it and the engineers who run the work. You buy all three together, so one team answers for the result.
  1. The Platform

    Configured for you on day one, on infrastructure isolated to your company: its own repository, database and deployment. An AI team led by a Chief of Staff, a Brain over your documents, workflows, goals and approvals.

  2. Custom systems

    Built around the processes that move your numbers, on top of the Platform. Before we build one, the proposal puts a measured value on it, in hours a week or dollars a year.

  3. The engineers

    People who sit with your team, map the work, build the systems and teach your people to use them. They stay until it sticks.

The path

From day one to your team using it.

Six stops, in this order. The first is done before anyone logs in. The last is the one that makes the rest worth having.

The engagement, stop by stop. By hand: Your Platform is set up and isolated before anyone logs in., Your AI team is staffed to match your org, with a Chief of Staff as the front door., Your documents go into the Brain, and we measure what it can answer from them., Every goal gets a recorded starting point, so progress can be shown., The systems we mapped and valued go live, one at a time, on your real work., Each named person is set up on their own work and uses it every week.. On the Advizr Platform: Your Platform is set up and isolated before anyone logs in., Your AI team is staffed to match your org, with a Chief of Staff as the front door., Your documents go into the Brain, and we measure what it can answer from them., Every goal gets a recorded starting point, so progress can be shown., The systems we mapped and valued go live, one at a time, on your real work., Each named person is set up on their own work and uses it every week.. It ends at delivered in under a month, used every week by day 30.

What the engineers do

They set it, build it and teach it.

The same people carry your engagement from the first mapping call to the review of who uses it.

  1. Set the strategy

    We map how your team works and where the hours go. Then we put a number on every system we propose, so you can see what each one is worth before it is built.

  2. Build the systems

    We build the systems that move those numbers, on your Platform, with your people in the room. Once live, each one runs on its own schedule.

  3. Set up your people

    We set up each person on their own work, one at a time, and come back every week until working with AI is how the work gets done. Where your team wants to build its own systems, we show them how.

What we build

Fourteen systems we start from.

Each starts from a design we have built before, is built around your processes and is valued in the proposal before we build it. None is a template you install.

Adoption

One person at a time, until your team uses it.

A system nobody uses is worth nothing. So there is no group training. Every person starts on their own work, and we count who uses it every week.

  1. Personal Setup

    Week one

    Every person, one at a time, 15 to 30 minutes, on their own work. Each one finishes a real task before we leave.

  2. Office hours

    Every week, on site

    An engineer at your office every week. Anyone can bring the task that is not working yet.

  3. A champion in every team

    One per team

    One person in each team learns it first and sets up the people beside them.

  4. The 90-day review

    Day 90

    Who uses it every week, person by person, and what is in the way for the rest. Then we fix it.

The guarantee

What it covers, in plain terms.

The signed statement of work is the reference for what was promised and when.

  1. Value

    Value is measured per system, in the proposal, before we build. For example: the hours a workflow saves each week, and what those hours are worth a year. There is no blanket multiple.

  2. Scope

    The statement of work names your strategy and every system we will deliver. It also names the people who will use them. Both sides sign it before work starts.

  3. The clock

    The clock starts on the start date in your statement of work. Everything in it is delivered in under a month, and your named people are using it every week by day 30.

  4. If we miss it

    If either is not true, we keep working at no charge until both are. For your people, that means coaching each one on their own work until they use it every week.

Questions

Questions we hear first.

Who are the forward deployed engineers?

Advizr engineers who work inside your setup. They map your processes, build the systems and train your team, from the first mapping call until your people are using what we built.

What is already built when we start?

The Platform is configured for you on day one, on infrastructure isolated to your company. Most of it is pre-built for every client. The rest is yours: your documents, playbooks, coworkers, goals, integrations and brand.

Do we get the source code?

No. You license the Platform, and your custom systems run on it. When an engagement ends and you ask in writing, we return or delete your data within 30 days, and our engineers confirm it with you. Your admins can export the knowledge base and the record of every action at any time.

How is it priced?

As one monthly partnership, set in the proposal after the mapping calls. The proposal values each system before we build it, so you decide with the number in front of you.

Do you train AI models on our data?

No. We never train AI models on your data unless you turn that on, and the database refuses a training job without your recorded consent. Your workspace runs Anthropic's models by default, with OpenAI and Google as backups, under business terms that rule out training on your data.

What if you miss either date?

If either is not true, we keep working at no charge until both are. For your people, that means coaching each one on their own work until they use it every week. The statement of work names what was promised, and who will use it.

Run your whole company on AI.

Tell us how your business runs. If we're not the right fit, we'll say so on the call.

Your custom strategy and systems, delivered in under a month. Your named people using them every week by day 30. Or we keep working for free until both are true.

The page ends on a hand drawn chart of the sky that draws itself as it comes into view, with a small sail ship crossing its open sky from a far star to a beacon and a small planet.

© 2026 Advizr AI Inc. · Vancouver, BC, Canada

Delivered in under a month. Used by your named people every week by day 30. Or we work free until both are true.