AI consulting · QC, Canada

AI consulting Montreal

Montreal has world-class AI research and a shortage of teams that turn it into something running in production. If your aerospace, finance, gaming, or life-sciences operation is sitting on use cases stuck at the pilot stage, that is where we come in. Taycon AI deploys AI into your existing systems, live in weeks and measured by output, working alongside your research talent instead of replacing it.

Eastern Time
Industries we serve

Built for Montreal operations

Aerospace & manufacturing

Montreal's aerospace cluster automates operational reporting, supplier monitoring, production data flow, and quality intelligence across complex stacks.

Financial services

Montreal finance firms automate financial reporting, compliance monitoring, risk modeling, and operational data flow.

Gaming & creative tech

Montreal gaming studios and creative tech companies automate content workflows, build-pipeline reporting, and operational intelligence.

SaaS & technology

Montreal SaaS companies automate customer support triage, customer success, and CRM enrichment.

Life sciences & pharma

Montreal life sciences and pharma operations automate document intake, regulatory reporting, and lab data flow.

Professional services

Montreal legal, accounting, and consulting firms automate document generation, client reporting, and billing.

What it solves

The operational problems AI consulting addresses

Manual workflows consuming skilled staff time

Teams handling bilingual customer and document work twice over, production pipelines with manual asset handoffs, analysts compiling the same reports by hand.

Disconnected systems that don't share data

ERP, quality, CRM, and production systems running as silos, reconciled manually, with the bilingual reporting and documentation rebuilt every cycle.

Decisions slowed by manual reporting

Leadership waiting on compiled quality, production, or portfolio reports, issues surfacing late, planning built on spreadsheets instead of live data.

Operations that can't scale without headcount

Support, documentation, and production workload rising with every program or release, growth that keeps adding manual steps and headcount.

No visibility into what's working

Program and operational performance visible only after the fact, quality and pipeline data scattered across systems, no live read on what is working.

AI investment with no clear starting point

You have the research talent and the use cases, but the AI never leaves the pilot stage. You need it deployed and running in production.

Where it applies

Where AI creates operational impact

How we deploy it

The Taycon AI engagement framework

Discover

We map the workflow, every manual step, system, and handoff, and pinpoint where AI creates the most measurable impact, before a line of code is written.

Architect

We design the AI models, data flows, integration points, and the human oversight model. You review and approve the architecture before we build.

Deploy

We build and integrate directly into your tools, with parallel testing against real data before go-live, so there's no disruption to live work.

Measure

We track performance against the baseline from Discovery and refine on real output and feedback until it's running at full effectiveness.

Client engagement

A recent client engagement

Industrial manufacturer · 12-person sales team · CRM enrichment agent

A 150-person manufacturer's 12-person sales team handled complex enterprise deals, but CRM records were always out of date, updated by hand hours after calls with incomplete notes. Pipeline data was unreliable and forecasting ran on instinct.

Taycon AI deployed a CRM enrichment agent connected to their call recording, email, and calendar. After each interaction it reads the transcript, identifies the updates that matter (stage changes, next steps, stakeholders, objections), and updates the record automatically.

Reps stopped doing CRM admin, the pipeline reflected what actually happened in conversations, and the deployment returned about 45 minutes per rep per day.

The payoff

The operational payoff

FAQ

AI consulting in Montreal, common questions

Do you work with Montreal clients in person?

We run Montreal engagements remotely on Eastern Time and deliver in English. Travel is available case by case for kickoff or major milestones.

How long does an AI deployment take?

An AI opportunity assessment runs 1 to 2 weeks. A pilot deployment of one workflow in production runs 4 to 8 weeks. A full multi-phase program runs 3 to 6 months. We scope every engagement before committing to a timeline.

What industries do you focus on in Montreal?

Strongest fit with Montreal aerospace and manufacturing, financial services, gaming and creative tech, and life sciences operations.

How much does AI consulting in Montreal cost?

Engagements scope to the work and its complexity. A free intro call will point you to the right starting point for your situation, with no obligation.

Can you integrate with our existing CRM, ERP, and helpdesk?

Yes. Every engagement is designed around your existing stack. We integrate with the CRM, ERP, and helpdesk you already run rather than asking you to replace them.

Other locations

AI consulting across North America

Find where AI pays off in Montreal

A 20-minute call to see how we can help and find the right starting point. No deck, no obligation.

Book a free intro call