Forward deployed engineers
Your custom strategy and systems, delivered in under a month. Or we work for free until they are.
Our engineers set the strategy, build the systems and train your team, from the day your Platform is configured until working with AI is how the work gets done.
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.
- Hoyes Michalosfrom repository created to the first cited answer1 day 6 hoursSystem loggedby Advizr, 20 Aug 2026
- Nurse Next Doorfrom repository created to the first client sign-in4 days 19 hoursSystem loggedby Advizr, 20 Aug 2026
- uQueuefrom platform handover to the first province live8 daysSystem loggedby Advizr, 20 Aug 2026
- Picton Mahoneyfrom the engine's first commit to the first client sign-in17 daysSystem loggedby Advizr, 20 Aug 2026
Engagements that ran longer than a month are named on the Work page.See the work
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.
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.
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.
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.
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 last training session.
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.
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.
Train your team
We train your people on their own work 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.
Revenue systems
Knowledge systems
Operations systems
AI teammates
Governance and security
Adoption
The work that makes it stick.
A system nobody uses is worth nothing. Training your people is part of the engagement, and every format below ends in something you keep.
Executive AI briefing
90 minutes, live, your leadership room
C-suite and board
You keep A one-page decision memo: where AI pays in your business, what it costs, and what to pilot first.
AI readiness assessment
1 to 2 weeks, interviews plus tooling review
Leadership and operations
You keep A skills and tooling baseline plus a 90-day roadmap with owners attached.
Role-based workshops
Half day per function, hands-on
Teams, split by role, on their real workflows
You keep A prompt library per role, built from your own documents and recurring tasks.
Build-alongside sprints
Multi-week, your operators working with our engineers
The people who own the workflow being automated
You keep A working automation your team built with us and can extend without us.
Champions program
Per office or team, peer-led
Your most credible practitioners, not the most senior
You keep A trained champion network and the playbook it runs on after we leave.
Office-hours retainer
Standing sessions, weekly or monthly
Everyone, bring the workflow that will not cooperate
You keep A running log of solved workflows, so nothing dies in the gap between the course and the desk.
Team certification
Cohort program with assessment
Whole teams or the full firm
You keep Documented, role-tailored training records: the evidence regulators and clients ask for.
The Academy The curriculum is public. Read it before you book anything.
The guarantee
What it covers, in plain terms.
The signed statement of work is the reference for what was promised and when.
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.
Scope
The statement of work names your strategy and every system we will deliver. Both sides sign it before work starts.
The clock
The clock starts on the start date in your statement of work, and everything in it is delivered in under a month.
If we miss it
If we miss it, we keep working at no charge until everything in the statement of work is delivered.
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 the month?
If we miss it, we keep working at no charge until everything in the statement of work is delivered. The statement of work names what was promised.
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. Or we work for free until they are.
The AI operating layer for enterprises.