Minimal data
We identify what’s being sent, why, where it’s processed, and how long it’s kept. Unnecessary information gets removed or anonymized.
Automate a measurable process while keeping control of your data, exceptions, and decisions.
A useful automation shrinks a delay, an error, or a repetitive task. It doesn’t start with picking a model — it starts with mapping the process, the data, and the risks. For a Quebec small business, privacy protection and human oversight need to be built in from the start, not bolted on after.
A limited pilot lets us confirm the actual time saved and quality before automating a critical process.
We measure volume, delays, errors, data, owners, and exceptions before proposing a solution.
We automate a limited scope with validations, permissions, alerts, and a way back to the current method if needed.
We compare time, quality, incidents, and adoption, then document the approved version for the team.
AI systems can produce inferences and errors. The business remains responsible for how they’re used and what results from them.
We identify what’s being sent, why, where it’s processed, and how long it’s kept. Unnecessary information gets removed or anonymized.
A person has the context, the time, and the authority to say no. Payments, deletions, sensitive decisions, and external communications are never rubber-stamped.
The math includes licensing, integration, verification, training, and incidents. An instant output that needs fifteen minutes of cleanup isn’t actually a time saver.
A frequent, well-documented, low-risk task that’s easy to verify: sorting requests, internal summaries, field extraction, or draft preparation.
Only after assessing the necessity, the applicable consent or legal basis, the vendor’s terms, data transfers, security, and Quebec’s privacy obligations.
Not at the steps where an error would have a real impact. The system proposes or executes based on rules; sensitive decisions keep clearly defined oversight.