From diagnosisto deployment
We don't believe in bloated consulting engagements. Every phase produces something you can use, and every phase ends with a decision you get to make.
Discover
We embed in your operations — understanding workflows, constraints, data and goals before recommending anything.
Interviews with the people doing the work, not just the people describing it. We map handoffs, count the hours, review the systems and grade your data. You get a written picture of your own operation that is usually worth the engagement on its own.
Design
We architect solutions tailored to your context. Every recommendation is backed by data and tested assumptions.
Target-state process, technical architecture, human checkpoints, cost model and success metrics — all agreed before a line of production code is written. Assumptions get tested cheaply first.
Deploy
We build and ship fast. Agile delivery cycles mean you see working solutions quickly and can provide input throughout.
Short cycles with something usable at the end of each one. Your team is in the loop the whole way, so adoption starts during the build rather than after it.
Optimize
Post-launch, we monitor, measure and refine — ensuring your AI systems improve over time and continue delivering ROI.
Instrumentation, quality evaluation, cost tuning and a documented handoff to a named internal owner. No black boxes, no dependency by design.
Sprint
A diagnostic engagement. We audit operations, score opportunities and hand back a costed, sequenced roadmap.
- —Operational and data audit
- —Ranked opportunity register
- —ROI model and roadmap
- —Executive readout
Build
Design and deploy the first real system. Scoped to reach production inside a quarter, with adoption built in.
- —Process or product design
- —Production build and integration
- —Evaluation and monitoring
- —Training and documented handoff
Retainer
Continuous ownership. Roadmap stewardship, delivery oversight and optimization of everything already live.
- —Fractional AI leadership
- —Ongoing optimization
- —Vendor evaluation support
- —Quarterly leadership review
Outcomes over outputs — we measure success by what changed in your business.
Human-in-the-loop — AI augments your team; it doesn't replace good judgment.
Built to last — no black boxes. We document, train, and hand off everything we build.
Do you replace our team?
No. Every engagement is designed to remove low-value work and hand new capability to named people inside your organization. We document, train and leave.
What if our data is messy?
Assume it is — most is. We grade data readiness per use case and sequence work so early wins do not depend on a multi-year cleanup, while remediation happens where it unlocks real value.
Do we own what you build?
Yes. Code, prompts, models, evaluation sets and documentation are yours, in your accounts and repositories.
How do you handle privacy and data residency?
We design to your regulatory reality — including Quebec's Law 25 and PIPEDA — with data minimization, regional processing and private deployment where the use case requires it.
Do you work in French?
Yes. We operate bilingually out of Montreal, which matters for Quebec organizations and their compliance obligations.
How quickly can we start?
A diagnostic Sprint can typically begin within two weeks. First deployments average 90 days from kickoff.
Two to four weeks, fixed fee, and a roadmap you own whether or not you keep working with us.