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AI & automation

AI integration for businesses in Montréal and Québec

AI that works inside your CRM, inbox and store — not in another tab your team forgets to open.

Most AI projects stall between the demo and the daily routine. We start from one process that costs you hours every week, connect the model to the systems where that work already happens, and keep a person in control of anything that leaves the building: a reply, a price, a change in your CRM.

How it runs
  1. 01 · Trigger

    A quote request arrives through your website form

  2. 02 · AI

    The model reads it, tags the service and drafts a reply from your price list

  3. 03 · Human check

    Your team reviews the draft in Gmail and approves or edits it

  4. 04 · Result

    The reply goes out and the lead is logged in your CRM with its source

An example flow. Your steps, tools and approvals are mapped with you before anything is built.

In practice

What it looks like in a business like yours

Inbox triage and drafts

Incoming emails sorted by intent, with a reply drafted in your tone for a person to approve. This is how our own Email Draft works.

Leads straight to the CRM

Web forms, chat and Messenger leads cleaned, deduplicated and pushed to your CRM with the right owner and next step.

Catalog and content

Product descriptions, FR/EN/ES translations and store FAQs generated from your real catalog data, checked before publishing.

What's included

What the work covers

  • A review of one or two processes worth automating, with the time they cost today
  • Connections to your tools through their official APIs: CRM, Gmail or Outlook, Shopify, Google Sheets and Drive, Meta inboxes
  • The choice of model per task (OpenAI, Anthropic Claude or Google Gemini), with prompts written down and versioned
  • Permissions limited to what each step needs, a log of every action and a human approval where an error would cost money or trust
How we work

From the first call to results

  1. Map the process

    We sit with the people who do the task today and write down every step, exception and system involved.

  2. Prototype on your data

    We test the AI step on a sample of your own emails, leads or products before connecting anything.

  3. Connect and secure

    We wire the integration with the minimum permissions, logging, and an approval step where it matters.

  4. Launch and monitor

    It runs alongside your team for a few weeks; we measure errors and time saved, then adjust.

What you get

Deliverables

  • A working integration inside your tools
  • Process map and written prompts
  • Access and permission list for your records
  • Monitoring, error alerts and a monthly review

What we don't promise

AI makes mistakes. We design every integration so that a wrong answer is caught before it reaches a customer, and we tell you when a simple rule or a form does the job better than a model.

How it's priced

Quoted per mandate after a free call. What moves the price: the number of systems to connect, the volume of items processed, the model costs (paid to the provider, at cost or on your own account) and how much monitoring you want after launch.

Every mandate is confirmed in a written quote (scope, deliverables, timeline, GST/QST) before any work starts.

Built in-house

We run this work on our own products first

We build and run our own AI products every day: Email Draft writes replies that wait for your approval, Krealo Chat answers from a store's catalog and hands over to a person, and the Krealo Publisher runs one AI agent per company, with approval before anything is published.

Active clients
25+
Posts published in 90 days
4,000+
Blog articles in 90 days
1,000+

Source: Krealo Publisher data for our client companies, July 14 – October 12, 2026.

FAQ

Questions, answered directly

Which systems can you connect AI to?

Anything with an API or an export: CRMs (Krealo CRM or the one you already use), Gmail and Outlook, Shopify, Google Sheets and Drive, Messenger and Instagram inboxes, and accounting or management software such as QuickBooks or Microsoft Dynamics 365 Business Central. If a tool has no API, we tell you what the workaround costs before starting.

Is our data used to train AI models?

Not by us. We use the business API offerings of the model providers, whose terms exclude training on submitted data by default, and we only send the fields each step needs. Before launch you get the list of providers and where they process data, so you can assess it under Québec's Law 25.

How long does a first AI integration take?

It depends on the number of systems and the approvals needed on your side. The written quote sets the timeline before work starts, and we begin with a single process so you see a result before committing to more.

What do we need to prepare before starting?

A person who knows the process, sample data (anonymized if needed), admin access to the tools involved or someone who can grant it, and a decision on who approves what the AI produces.

Let's map your first project

Contact us