Marc Sarrapuchiello
Co-founder / Montreal director
Marc is the Montreal point of accountability for Canadian teams evaluating a first deployed AI workflow.
Montreal operating base
Quebec and Canada coverage
Bilingual operating context
Canada
Canadian teams should not need another AI pilot to fix work trapped in inboxes, docs, and spreadsheets.
EngineB embeds with the operators closest to the bottleneck and deploys one AI workflow inside the tools already running sales, service, finance, and knowledge work.
Canada-wide delivery anchored by Marc Sarrapuchiello and the Montreal operating base.
Bilingual workflow design for English and French teams, not translated demo scripts.
Vendor-neutral engineering across the models and tools your business already uses.
Local accountability
Canada-wide delivery has a named Montreal owner.
Canadian teams get a clear owner for the relationship, the local context, and the cadence of the first deployment.
Named relationship owner
Discovery, priorities, and follow-up stay attached to a specific local lead.
Local operating context
The deployment conversation starts with how Canadian teams actually sell, serve, report, and hand off work.
What brings Canadian teams here
The work is already moving. The systems around it are not.
Canadian operators usually do not need another AI presentation. They need one workflow moved out of inboxes, spreadsheets, shared drives, and tribal knowledge into a system their team will actually use.
A bilingual team is answering the same customer, staff, or partner questions in English and French.
Revenue, service, finance, or operations work depends on a few people remembering the process.
Tools are already in place, but CRM, email, docs, finance, and reporting do not move as one workflow.
Leadership wants measurable operating capacity before creating a permanent AI team.
First deployments
Start where manual work has a cost.
The first deployment should be specific enough to test, valuable enough to matter, and close enough to daily work that adoption is visible.
Revenue response and follow-up
Qualify inbound requests, draft follow-up, attach account context, and keep CRM hygiene from becoming a second job.
Operations intake and routing
Turn emails, forms, documents, and internal messages into structured cases with owners, urgency, and next action.
Finance and reporting loops
Reconcile source records, surface anomalies, and draft reporting notes before month-end turns into spreadsheet archaeology.
Internal knowledge retrieval
Make SOPs, client history, proposals, policies, and operational memory answerable with source citations.
How delivery works
Canada-wide delivery, anchored from Montreal.
The local value is shared business hours, bilingual operating context, and enough proximity to sit inside how the work is actually done.
Diagnostic before deployment
We inspect the workflow, systems, data, risk, and economics before recommending a build.
One workflow first
The engagement earns expansion only after a real workflow survives production use.
Bilingual adoption
Training, review paths, and knowledge design account for English and French operators where needed.
Bring us the Canadian workflow that is bleeding time.
30 minutes with an engineer. We will tell you where AI can help, where it cannot, and what a first deployment would actually require.
Send us a brief