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AI integration New / CanCom Studio

Intelligence,
put to work.

Make AI useful to your business. We design and connect assistants, models, and workflows around your knowledge, your tools, and the people who use them.

THE INTELLIGENCE ENGINECANCOM / 08
Choose the provider in the AI connection example
From question to useful answer.

Your approved knowledge, connected to a helpful assistant.

Choose a model. See the connection. Illustrative concept.OpenAI: From question to useful answer. Your approved knowledge, connected to a helpful assistant.

A closer look / AI integration

A little input. A useful next step.

Explore sample workflows in the AI lab. Switch the task to see how business context becomes a useful answer or a prepared action.

The AI labInteractive concept
Choose an AI example
EXAMPLE / Customer supportA helpful answer. A human when needed.

Can I exchange a gift?

Returns policy · approved content

Yes. Unused gifts can be exchanged within 30 days with a gift receipt.

Connected to your tools

Illustrative demo · no live AI requests

Showing Customer support example.

The right model / The right fit

Big possibilities.
Your kind of intelligence.

We choose models around the job: answer quality, response speed, data needs, and your operating budget. Explore a few of the options we can connect.

Find your use case
Explore AI providers
MODEL FAMILYOpenAI

Reasoning, everyday assistance, and custom tools inside your business.

  • GPT-6 AstraComplex reasoning & end-to-end tasks
  • GPT-5.6 SolDemanding professional workflows
  • GPT-5.6 TerraA balance of capability & cost
  • GPT-5.6 LunaFast, high-volume workflows
OpenAI model documentation

Model lineup reviewed September 2026. Final availability, data handling, and usage costs are confirmed in your scope. Provider names identify integration options.

The full picture / What we do

The thinking.
The making. The details.

Choose the support you need, or bring the pieces together in one custom scope. Here’s what AI integration can include.

Practical starting points informed by business AI adoption research from OpenAI and McKinsey. We help you choose the use case that fits your team.

01

Serve & connect

AI chatbots & customer support

EXAMPLE / Customer supportA helpful answer. A human when needed.

Can I exchange a gift?

Returns policy · approved content

Yes. Unused gifts can be exchanged within 30 days with a gift receipt.

Connected to your tools
Illustrative AI workflowA fictional retail assistant finds an approved exchange policy and offers a support handoff.

Give customers useful answers from your approved content, with a clear path to a person when a question needs judgment.

  • Website or in-app chat
  • Knowledge-grounded answers
  • Support inbox handoff
Discuss AI chatbots & customer support

Internal knowledge assistants

EXAMPLE / Team knowledgeYour knowledge, with a source attached.

How do we start a new project?

Team playbook · page 04

Start with the discovery brief, assign a project owner, then book the kickoff.

Connected to your tools
Illustrative AI workflowAn internal assistant turns a question into a cited answer from a fictional team playbook.

Make your team’s documents searchable in everyday language. Answers point back to the source and respect who can see what.

  • Document search & retrieval (RAG)
  • Source citations
  • Role-based access design
Discuss internal knowledge assistants

AI voice & appointment assistants

EXAMPLE / Voice & bookingsCheck availability. Ask before booking.

Do you have a consultation on Friday?

Availability · booking calendar

There is a 2:30 pm opening. Would you like me to reserve it?

Connected to your tools
Illustrative AI workflowA voice assistant checks a sample calendar and asks the caller to confirm before booking.

Create voice experiences that answer routine questions, check availability, and prepare bookings with confirmation and a human fallback.

  • Voice conversation design
  • Calendar or booking connection
  • Confirmation & handoff rules
Discuss AI voice & appointment assistants

AI sales & lead qualification

EXAMPLE / Sales assistanceA clearer brief for your sales team.

We need a new store before our autumn launch.

Inquiry · website form

E-commerce inquiry. Timing: autumn. Next step: confirm catalog size and launch date.

Connected to your tools
Illustrative AI workflowA sample store inquiry becomes a structured CRM note and a suggested follow-up.

Help your team understand incoming inquiries, gather useful context, and prepare relevant next steps inside your CRM.

  • Inquiry summaries & qualification
  • CRM field mapping
  • Draft follow-ups for review
Discuss AI sales & lead qualification
02

Build & improve

Document processing & data extraction

EXAMPLE / Document processingFrom a document to usable fields.

Invoice 1048 · Sample supplier · $280.00

Invoice PDF · 1 document

Supplier: Sample supplier / Total: $280.00 / Status: ready for review

Connected to your tools
Illustrative AI workflowA sample invoice is organized into accounting fields, with a review step before posting.

Turn invoices, forms, and business documents into structured information. Flag missing or uncertain fields for review before updating your systems.

  • Document intake & field extraction
  • Validation & exception review
  • Spreadsheet or database delivery
Discuss document processing & data extraction

AI content & marketing workflows

EXAMPLE / Content workflowsOn-brand drafts. Your final approval.

Draft a launch email for our citrus collection.

SOLA · fictional brand guide

Subject: A little sunshine, delivered. Meet your new citrus ritual.

Connected to your tools
Illustrative AI workflowSOLA concept: approved product information becomes an email draft for an editor to review.

Connect your brand voice, product information, and content process so your team can create and review drafts in one consistent workflow.

  • Brand voice & prompt library
  • Product or campaign draft generation
  • Editorial approval workflow
Discuss AI content & marketing workflows

AI reporting & business insights

EXAMPLE / Business insightsA useful answer you can check.

Summarize this month’s inquiry mix.

Sample sheet · 40 inquiries

24 website inquiries + 16 branding inquiries. Websites account for 60%.

Connected to your tools
Illustrative AI workflowIllustrative figures: a report explains an inquiry mix and shows the numbers behind it.

Ask questions of approved business data and turn recurring reports into readable summaries, with visible calculations and source references.

  • Approved data connections
  • Natural-language reporting
  • Source-backed summaries & checks
Discuss AI reporting & business insights

AI agents & tool integrations

EXAMPLE / Connected AI agentsUnderstand. Prepare. Confirm. Act.

Prepare the next steps for this new inquiry.

Form + CRM + team workflow

Summary prepared. CRM update drafted. Follow-up waiting for your approval.

Connected to your tools
Illustrative AI workflowA concept agent prepares a CRM update and follow-up, then waits for a person to approve.

Connect AI to the tools your team already uses. Let it prepare multi-step work, with explicit permissions, approval points, and a record of each action.

  • Agent & tool connection design
  • n8n, Zapier, API or MCP connections
  • Approval gates & execution logs
Discuss AI agents & tool integrations

Custom AI features & model integration

EXAMPLE / Custom AI featuresYour experience. The right model behind it.

Help shoppers find the right product.

Your catalog · your application

A guided product search inside your own website, connected to your catalog.

Connected to your tools
Illustrative AI workflowA concept product assistant fits into an existing store instead of sending visitors elsewhere.

Add AI search, assistants, summarization, or generation to an existing website or app. Select models around your users, task, speed, and operating budget.

  • OpenAI, Claude or Gemini integration
  • Website or app experience
  • Model comparison & usage controls
Discuss custom ai features & model integration

AI strategy, testing & team training

EXAMPLE / Strategy & trainingOne clear pilot. Room to improve.

Where would AI help our team first?

Discovery workshop · team priorities

Pilot: support knowledge search. Measure answer quality, handoffs, and time per request.

Connected to your tools
Illustrative AI workflowA sample pilot plan defines the task, the review process, and what success will be measured against.

Start with a useful, measurable pilot. Test real scenarios, define boundaries, and give your team the guidance to use and maintain the integration.

  • Use-case discovery & pilot plan
  • Quality, cost & failure-case testing
  • Team training & operating guide
Discuss AI strategy, testing & team training

A platform that fits the way you work.

  • OpenAI
  • Claude
  • Google Gemini
  • n8n
  • Zapier
  • Custom builds

From first conversation to final handoff

A clear way
from here to there.

Good work starts with a shared understanding. Explore the three stages of your project.

Explore the project process

01 / Find the fit

Start with the work.

We map the task, the information it needs, and the result your team wants. Then we choose a focused pilot and the right model to test.

  • Use-case workshop
  • Data & tool review
  • Pilot scope & success measures

Scope & investment

Start with
the right scope.

Custom quote

A focused pilot or a connected system

Build your AI integration brief Compare service packages

A scope built around you

AI integration

  • Discovery and a prioritized use case
  • Model selection and a working pilot
  • Connections to agreed tools and knowledge sources
  • Quality testing, human handoffs, and usage controls
  • Launch, documentation, and team walkthrough

A tested AI integration with a clear purpose, documented limits, and a team that knows how to use it.

Scope depends on your data, tools, users, and workflow complexity. Model API usage, hosting, third-party subscriptions, ongoing monitoring, and additional integrations are quoted separately. We agree on permissions, approval steps, and success measures before building.

A few useful answers

Before we
get started.

Which AI models can you integrate?

We scope integrations using OpenAI, Anthropic Claude, and Google Gemini APIs. The model is selected and tested against your task, data, response speed, and operating budget. Availability and provider terms are confirmed when we scope the project.

How is this different from automation?

Automation moves information through agreed rules. AI can interpret a question, search knowledge, or prepare a response. We often combine the two: AI handles the language or reasoning, and a controlled workflow handles the next step.

Can AI use our existing documents and tools?

Yes, where the source system permits access. We review document quality, permissions, APIs, and data handling before choosing the approach. Knowledge retrieval can use approved sources without training a new foundation model.

Will it run everything without a person?

We agree on the boundaries together. An assistant can hand off uncertain questions, and actions such as sending messages or changing records can require human approval. We test these paths before launch.

What does an AI integration cost?

Every integration is custom quoted. We separate build costs from recurring model usage, hosting, software, and optional ongoing support so you can plan for both the launch and day-to-day operation.

Awards & certifications

  • Awwwards
  • Clutch — Top Branding Agencies, 2021
  • Semrush — Certified Agency Partner
  • CGD Certified
  • The Manifest — Most Reviewed Digital Marketing Agency
  • UpCity — Local Excellence, Toronto, 2022
  • RGD — Certified Member
  • Top Choice Award — Mark of Excellence, 2022