How we work
Every engagement runs on the same method: a dedicated Fractional Digital Engineer (FDE) — a real person assigned to your business — builds production systems while teaching your team to operate and extend them. Build and Educate are not sequential phases; they run in parallel from day one, because a system your team doesn’t understand is a system that dies the day we stop maintaining it.
The three phases of every Advizr engagement
The first 90 days, week by week
A discovery call to understand your business, operations, and goals. We identify the highest-ROI opportunities for AI in your workflows. You receive a strategy proposal with specific recommendations, timelines, and expected returns — and a fixed price in writing. You decide whether to move forward.
Your FDE meets your team, maps your workflows in detail, and sets up infrastructure. Education planning starts the same day: we identify who on your team learns what, and schedule the first sessions.
Sprint builds deliver working systems every one to two weeks. Education sessions run in parallel — your team learns prompt engineering and workflow thinking while watching their own systems come to life, not from generic slides.
Systems go live in production. Team training continues until your people can operate and extend everything independently. Everything we build is documented as we build it.
Ongoing advisory, performance monitoring, and new builds as your needs evolve. Monthly strategy reviews surface new opportunities as your team’s AI capability matures. Most clients expand scope here — because by now their own people are finding the opportunities.
What we need from you
The engagements that compound fastest share three things:
- A decision-maker in the room. Your FDE needs someone who can say yes to a workflow change without a committee.
- Two to four hours per week from the team members being trained, for the first eight weeks.
- Access to your real data and tools (under the data handling terms) — systems built against fake data break against real data.
What we don’t do
Honest scope boundaries save everyone time. We don’t build consumer mobile apps, don’t do one-off training with no build attached, don’t take on engagements we can’t measure, and won’t automate a workflow that’s broken on paper — we’ll tell you to fix the process first, and help you do it.
Why this works
The simultaneous approach creates a compounding effect. As your team learns, they identify new opportunities. As systems get deployed, they become teaching tools. The build reveals what to learn next; the education reveals what to build next.
You’re not just getting software — you’re building organizational capability that stays when any vendor leaves.
Next steps
- Pricing — three tiers, real numbers, all in CAD
- How we measure ROI — the methodology behind the 2x guarantee
- Common questions — contracts, ownership, and what happens if you cancel