Expertise

Data

Connect information scattered across your tools, so your teams and your AI agents can use it.

Files, CRM, email, media: the information exists, but it is scattered. We structure it around the intended uses, without rebuilding everything.

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When to call us

  • The same information is entered in several tools.
  • Finding a file or a history takes too long.
  • Your data isn’t ready for AI agents.

Services

Data and infrastructure

Where your data lives, how good it is and how secure it is.

  • Inventory of sources
  • A shared database sized for your organization
  • Access, backups and security

ExampleClient files spread across a CRM, spreadsheets and email, brought together in one database.

Process mapping

Who does what, with which information, and when.

  • Observing the work as it is actually done
  • Spotting duplicate entry and delays
  • A map shared with the teams

ExampleThe path of a request, from the first call to the invoice.

Systems integration

Automatic exchanges between your tools.

  • Website, CRM, invoicing and internal tools
  • Automated information transfers
  • Alerts when something fails

ExampleAn online request that creates a file with no manual entry.

Knowledge bases

A shared base for your content and in-house knowledge.

  • Organized with your industry’s vocabulary
  • Descriptions suggested by AI, approved by the team
  • Credits and usage rights kept

ExampleA media library searchable by season, place or experience.

Approach

  1. 01

    Take stock

    Sources, formats, access and applicable rules.

  2. 02

    Structure

    Shared vocabulary, standardized records, links between systems.

  3. 03

    Make it available

    Search, dashboards or AI agents, depending on the use.

Examples by sector

Tourism and hospitality

  • A destination’s photos, videos and content in one place.
  • Visitor data connected to marketing planning.

Service businesses

  • One client record, from request to invoice.
  • Dashboards with no duplicate entry.

Nonprofits and the public sector

  • Search across documents and past decisions.
  • Data prepared for an internal AI agent, with controlled access.

Deliverables

  • Data and process mapping
  • Shared data model
  • Integrations in production
  • Documented access rules

Metrics we track

  • Time to find a piece of information
  • Duplicate entry between tools
  • Complete, up-to-date data
  • Time to produce a report

Our work

Frequently asked questions

Our data is disorganized. Can we start?

Yes. We start from the intended use and structure only what is needed.

Do we need to change tools?

Rarely at first. We start by connecting the tools you already have; replacing one makes sense when it blocks the intended use.

Who controls our data?

You do. Access, permissions and sharing rules are defined with you and documented.

Can our data stay in Canada?

It is a criterion for choosing tools when your context requires it.

Ready to put collective intelligence to work?

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