AI Enablement · Canada
Most AI pilots never ship.
Yours will.
Droot embeds senior AI engineers with your team to take you from “we should use AI” to systems running in production — in weeks, not quarters, and measured in dollars.
Reply within one business day · 30-minute intro call · no obligation
The problem
The models are ready.
Most companies aren’t.
Frontier AI can already read your documents, answer your customers, and draft your work product. What’s missing in most organizations isn’t technology — it’s the engineering, integration, and change management to make it stick.
of enterprise AI pilots produce no measurable P&L impact
MIT NANDA Initiative, study of 300 public AI projects
committed by OpenAI, Microsoft, Anthropic & AWS to AI deployment services in 2026 alone
Because deployment — not models — is the bottleneck
from kickoff to your first system in production
Our commitment on every build engagement
OpenAI bought a consultancy to fix this. Microsoft is embedding six thousand engineers inside its customers. They’re doing it for the Fortune 500. Droot does it for Canada’s small and mid-market businesses.
What we do
One partner, from first question to running system.
Four services that cover the full lifecycle — start anywhere, or take them in sequence.
01
AI Opportunity Assessment
Know where AI pays off before you spend. In two to three weeks we map your workflows, rank the opportunities by ROI, and hand you a board-ready roadmap. Fixed fee.
Explore02
Pilot to Production
One high-value AI system — an agent, copilot, or automation — built by embedded senior engineers, integrated with your stack, and shipped to production in 8–12 weeks.
Explore03
Team Enablement
Your people, running AI without us. Role-based training, playbooks, governance your lawyers will sign off on, and an internal champions program that outlasts the engagement.
Explore04
Managed AI Operations
AI systems drift, models leapfrog each other, costs creep. We keep what we ship sharp: monitoring, evals, upgrades, and a monthly impact report in plain dollars.
ExploreHow we work
Map. Prove. Ship. Embed.
The industry calls it forward-deployed engineering — the model Palantir pioneered and OpenAI, Anthropic, and Microsoft now bet billions on. Senior engineers work inside your business, not from a slide deck.
Our approach- Map — weeks 0–2 · find the workflows where AI moves real money
- Prove — weeks 2–6 · a working system on your real data, evaluated honestly
- Ship — weeks 6–12 · integrated, monitored, in production with your team trained
- Embed — beyond · your people own it; we stay only if you want us to
Why Droot
Built for companies like yours — not the Fortune 500.
The billion-dollar deployment companies chase billion-dollar accounts. We bring the same playbook to Canada’s small and mid-sized businesses, sized and priced for how you actually operate.
Canada-first
Data residency options on Canadian soil, PIPEDA-fluent governance, and a partner in your time zone — not a delivery centre three oceans away.
Senior people only
Every engagement is staffed by people who have shipped production AI. Nobody learns on your dime.
Model-agnostic
OpenAI, Anthropic, Google, open-source — we pick what wins on your evals, and swap it when the frontier moves. No vendor allegiance.
Capability, not dependency
Training and handover are built into every engagement. Success is your team running the system without us.
Fixed scope, fixed fee
Assessments and builds are priced upfront with defined deliverables. No open-ended billable-hours meter.
24-hour response
Every inquiry gets a substantive reply within one business day. It’s how we’ve always worked.
In practice
What an engagement looks like.
Illustrative scenarios from the industries we know well — the shape of the work, before we tailor it to yours.
Intake that never sleeps
A litigation firm drowning in intake email. We’d ship an agent that reads every inquiry, classifies matter type and urgency, drafts the response for lawyer review, and files it to the case system — targeting intake triaged in minutes instead of days.
Renewals that read themselves
A brokerage where producers re-key policy documents by hand. We’d build extraction that turns carrier PDFs into structured data and a renewal copilot that drafts client-ready comparisons — targeting hours back per producer, per week.
Front desk, unblocked
A clinic group losing bookings to phone tag. We’d deploy a scheduling and triage assistant with strict guardrails and human escalation, built PHIPA-aware from day one — targeting fewer missed appointments and shorter queues.
These are representative scenarios, not client case studies — we’d rather show you the real thing on a call.
Ready to find out what AI can
actually do for your business?
A 30-minute conversation. Bring your messiest workflow — we’ll tell you honestly whether AI can fix it.
Start the conversation