AI in Business: How Numérique.ca Turns Your Data into Custom AI Assistants

Thursday, September 24, 2026

Artificial intelligence in business isn't just about installing a chatbot on your website or giving your employees access to ChatGPT. Its true potential emerges when it is connected to your data, software and actual business processes.

At Numérique.ca, that's exactly what we do: develop custom AI assistants capable of using information specific to your business and interacting with the systems you already use. An assistant can analyze emails, consult a database, transcribe a phone conversation, prepare a quote, search through thousands of documents or even interact with a customer to collect missing information.

The goal isn't to add AI just because the technology exists. Instead, it's about identifying the tasks where AI can genuinely save time, improve access to information and automate repetitive steps, while leaving decisions that require human expertise in the hands of people.

An AI assistant that truly knows your business

A general-purpose artificial intelligence model may have extensive knowledge, but it doesn't necessarily know all your products, customers, internal procedures, documents or the structure of your databases.

That's where integration becomes interesting.

We can develop assistants that use different sources of information specific to your organization:

website content;
internal documents;
databases;
CRM and ERP systems;
emails;
phone conversations;
voicemail messages;
quote requests;
product or service information;
information from an extranet;
data from APIs or external software.

The assistant therefore becomes an intelligent interface between your data and the people who need to use it.

One AI for everything? Not necessarily.

When we talk about integrating AI into a business, we often imagine one large central assistant that does everything. In reality, it can be much more effective to create multiple specialized AI agents or assistants.

One assistant can handle emails, another can analyze phone calls, a third could respond to website visitors, and a fourth could help employees quickly find internal information.

These assistants can then communicate with another system, such as your CRM, and share certain information when relevant.

This architecture makes it possible to gradually integrate artificial intelligence into your operations without having to transform your entire business overnight.

Real-world example: multiple AI assistants at Productions Hugues Pomerleau

Productions Hugues Pomerleau, an agency that represents artists and provides entertainment and event services, is a good example of this approach.

Numérique.ca has integrated several artificial intelligence tools directly into the company's existing business processes.

An AI assistant connected to the phone system

Phone conversations can contain a lot of useful information: the customer's name, type of event, date, location, number of attendees, requested artist, special requirements and more.

A system connected directly to the PBX can process conversations to transcribe them and automatically generate a summary.

Instead of manually taking detailed notes after every call and then copying them into your CRM, the relevant information can be automatically extracted and associated with the right file directly!

Automatically turning voicemail messages into usable information

The same principle can be applied to voicemail messages.

A message left by a customer can be automatically transcribed. AI can then analyze its content and extract the important information.

The voicemail is no longer just a simple audio file: it becomes a source of structured, searchable data.

An AI assistant that analyzes emails

Customer requests also arrive by email. Some emails already contain almost all the information required to prepare a quote, while others are incomplete.

An AI assistant can analyze your emails to automatically identify important information such as the type of event, date, location, requested service or other details required to process the request.

This information can then be used to prepare a quote in the management system, rather than requiring an employee to manually copy every piece of information into your CRM.

An AI agent that completes a request with the customer

But what happens when some information is missing?

That's where another type of agent can step in.

The system can communicate directly with the customer by email and ask the questions needed to complete their file. The agent adapts its questions based on the information already available and focuses only on obtaining the missing details.

A request that was initially missing information can gradually be transformed into a sufficiently detailed file to facilitate the preparation of a quote.

The goal isn't to replace the relationship between you and your customer. Instead, AI handles part of the information collection and organization process so your team can spend more time on tasks that genuinely require human involvement.

Turning unstructured data into useful data

A significant portion of a company's information isn't organized into perfectly structured fields.

It can be found in emails, phone calls, PDF documents, notes, voicemail messages or conversations with customers.

This is precisely where artificial intelligence can really help!

For example, a customer might write:

We're organizing our Christmas party in Quebec City on December 12 for approximately 180 people, and we'd like to have a singer-guitarist perform after dinner.

For traditional software, this is just a paragraph of content. An AI-powered system can instead detect and structure the information:

event type: Christmas party;
city: Quebec City;
date: December 12;
approximate number of attendees: 180;
requested service: singer-guitarist;
preferred time: after dinner.

This data can then be sent to your CRM, ERP or a custom Web application.

AI can also become a specialized search engine

This approach isn't limited to administrative processes.

In the tourism industry, for example, organizations often manage a large amount of information: accommodations, attractions, events, restaurants, activities, availability, geographic criteria and member listings.

A traditional search engine generally requires visitors to select specific filters. An AI assistant can instead allow them to search using natural language.

A visitor could ask:

I'm looking for a cottage for six people near the water, with a hot tub, that allows dogs and where we can go hiking nearby.

AI can interpret the intent behind the request, identify the different criteria and use the available data to help the user find what they're looking for.

This approach is particularly valuable for tourism associations, accommodation websites and platforms with large amounts of content.

Very different applications for different organizations

There is no single way to integrate AI into a business. The needs of a municipality are very different from those of a tourism association, a luxury hotel, an artist agency or a cottage rental platform.

A municipality might want to make it easier for residents to find a bylaw, information about waste collection or a public notice.

A tourism organization could use AI to help visitors build a personalized itinerary based on attractions they're interested in, accommodations and activities.

A hotel could use an assistant to answer frequently asked questions from guests based on its own information and services.

An accommodation platform can use artificial intelligence to understand a complex request and help travellers find a property that matches their criteria.

In all these examples, the principle remains the same: start with existing data and processes to determine where artificial intelligence can provide real added value.

AI doesn't necessarily have to replace your existing software

One of the main advantages of a custom integration is that you don't always need to replace the systems you're already using.

Depending on the technical possibilities, we can connect artificial intelligence models to a CRM, ERP, Web application, CMS, phone system, email inbox, API or existing database.

AI therefore becomes a new layer of intelligence added to your existing infrastructure.

For an organization with years of data and software developed specifically for its operations, this approach can be MUCH more practical than a complete migration to a new platform just to gain access to AI features.

How does Numérique.ca develop a custom AI assistant?

Before choosing an artificial intelligence model or programming an agent, we first need to understand the problem we're trying to solve. That means starting with an analysis of:

repetitive tasks performed by your employees;
questions frequently asked by your customers;
available data;
software already being used;
possible exchanges between different systems;
steps where information must be entered manually;
areas where employees spend too much time searching for information.

We can then determine which tasks can be assisted by AI and which actions should continue to be validated or performed by someone within your organization.

The result can be a single specialized assistant or an ecosystem of AI agents integrated with multiple systems.

From your data to a practical business tool

In many cases, businesses already have a lot of information. The challenge is being able to use it effectively at the right time.

AI now makes it possible to create a new interface with that information. You can talk to your data, automatically analyze your communications, extract information, trigger certain operations and guide your customers through a process.

At Numérique.ca, we develop AI solutions adapted to your reality that can be integrated with your existing website, applications, CRM, ERP, databases and other digital tools.

After more than 25 years of developing custom Web solutions for businesses, municipalities and tourism organizations, we see artificial intelligence not as a standalone product, but as a new component of a company's digital ecosystem.

FAQ: Integrating artificial intelligence into your business

Can artificial intelligence be connected to our company's data?

Yes. Depending on the systems being used and the access available, Numérique.ca can develop AI assistants capable of accessing different sources such as databases, documents, CRM systems, ERP systems, CMS platforms, emails or certain APIs. Access must be configured according to the organization's needs and security requirements.

Can an AI assistant work with our existing CRM or ERP?

In many cases, yes. You don't necessarily need to replace your existing CRM or ERP to integrate artificial intelligence. Numérique.ca can develop connections that allow an assistant to use certain data or send information to your existing system when your current system provides an API that makes this possible.

Can AI be used to analyze phone calls?

Yes. When a phone system provides access to the necessary recordings or data, conversations can be transcribed and AI can be used to generate summaries or extract specific information. Numérique.ca has implemented this type of process for Productions Hugues Pomerleau.

Can AI automatically analyze incoming emails?

Yes. An assistant can analyze the content of certain emails to extract useful information, classify messages or feed data into an internal process. At Productions Hugues Pomerleau, Numérique.ca uses this approach to facilitate the processing of requests and the preparation of quotes.

Can AI ask questions directly to our customers?

Yes. A conversational AI agent can use the information already available and ask additional questions when certain information is missing. It can therefore guide the customer through a structured process before transferring the file to an employee.

What types of businesses can use custom AI assistants?

The possibilities aren't limited to a specific industry. Numérique.ca works with all kinds of businesses and organizations. The right integration depends primarily on the available data, the processes that need to be improved, the budget and the systems with which the AI needs to communicate.

Where should we start when integrating AI into our business?

A good first step is to identify repetitive tasks, large amounts of information that are difficult to use efficiently and processes that require significant time for manual data entry. Numérique.ca can then analyze your existing systems and determine where a custom AI assistant could provide concrete value.