Our approach
We work embedded,
not at arm’s length.
Slide decks don’t ship software. Our engineers sit inside your workflows — with your people, your data, and your constraints — until the system runs and your team runs it.
The model
Forward-deployed, by design.
Palantir pioneered it. In 2026, OpenAI, Anthropic, Microsoft, and AWS collectively bet over eight billion dollars on it: engineers deployed inside the customer, closing the gap between a promising pilot and a production system.
They built it for the Fortune 500. Droot brings the same discipline to Canada’s small and mid-sized businesses — where a single shipped system can move the whole P&L, and where nobody has time for an eighteen-month transformation program.
- Weeks, not quarters. Scope small enough to ship, valuable enough to matter.
- Your real data, from day one. If it doesn’t work on your actual documents and systems, it doesn’t work.
- Your team beside ours. Every engagement transfers capability — the opposite of consultant lock-in.
- Honest evals over demos. We measure before we celebrate — and we’ll tell you when AI is the wrong tool.
The method
Map. Prove. Ship. Embed.
Every engagement follows the same spine — four phases, each with a concrete deliverable and a decision point. You can stop at any phase and keep everything.
Weeks 0–2
Map
We embed with your team and follow the work: where hours go, where errors happen, where customers wait. We audit the data and systems underneath, then rank AI opportunities by return, effort, and risk.
Deliverable: prioritized roadmap with ROI estimates — board-ready.
Weeks 2–6
Prove
We build a working system on your real data — not a slideware demo. An evaluation suite measures it against ground truth your team defines, so “it works” means something you can defend.
Deliverable: working system + eval results. Go / no-go, decided on evidence.
Weeks 6–12
Ship
Integration with the systems you already run, human-in-the-loop controls where judgment matters, monitoring and audit trails, security review — then production rollout with your team trained on it.
Deliverable: production system, documentation, and a trained team.
Beyond
Embed
Your people own the system — playbooks, champions, and governance make it stick. If you want us to keep operating and upgrading it as models improve, we stay on retainer. If not, you’re fully equipped without us.
Deliverable: a capability, not a dependency.
Principles
The rules we don’t bend.
Outcomes, not demos
A pilot that impresses in a meeting and never ships is a cost, not a win. Every phase ends in something your business actually uses, measured in dollars or hours.
Model-agnostic, always
OpenAI, Anthropic, Google, open-source — your evals pick the winner, not our partnerships. When the frontier moves, your system moves with it.
Your data stays yours
Canadian residency options, no training on your data, and privacy commitments in writing. PIPEDA isn’t a checkbox for us — it’s table stakes.
Capability, not dependency
The end state is your team running AI without us. Handover, documentation, and training are deliverables — not upsells.
Senior people only
Small teams of engineers who have shipped production AI. No pyramid of juniors billing hours while they learn.
Honesty about fit
Some problems don’t need AI — they need a spreadsheet, a hire, or a process change. We’ll say so, even when it costs us the engagement.
See the method on your problem.
Bring one workflow that frustrates you. In 30 minutes we’ll sketch how we’d map it, what we’d build, and what it would take.
Book an intro call