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Get started with CAIAC

Get started with CAIAC at your current stage of maturity.

CAIAC is being rolled out gradually with a limited number of companies. You can start by testing the platform on a specific use case or frame a larger project when your environment requires more integration and support.

Two paths according to your context.

Guided project

Deploy CAIAC in a more complex marketing environment.

For companies whose case involves several systems, teams, data sources, integrations or governance requirements.

The project may include:
  • Diagnosis of current functioning
  • Identification of priority use cases
  • Workflow setting
  • Rules and validations
  • Connection of data sources
  • Study of integrations
  • Preparation of the necessary architecture
  • Progressive deployment of caiac
  • Team support

When some foundations are not yet mature enough, the project can integrate the CAIAC expert services.

What's your best starting point?

  • You already have a specific use case and an environment you can work with

    → Early access. Quickly test CAIAC on a limited perimeter and measure the value produced.

  • Your project also depends on your data, architecture or organization

    → guided project. Frame the necessary system and gradually build the foundations that will allow CAIAC to operate on a scale.

Expert Services

What if the problem isn't just marketing?

Some organisations have the uses they want to automate, but not yet all the necessary foundations: scattered data, complex architecture, inadequate governance, fragmented MarTech or still experimental AI uses.

Our expert services allow us to process these dependencies and gradually increase the maturity of the company's data and AI.

  • Organizational & Data Strategy

    Diagnosis of maturity, roadmap, operating model and governance.

  • Data & Automation Ecosystem

    Architecture, engineering, MarTech integration, automation and analytics.

  • AI & Decision Intelligence

    Industrialization AI, RAG, agents, project portfolio and specific Data Science.

Discover the expert services

Start with the use case. Add the support you really need.

Early access
  1. 01
    Limited use case
  2. 02
    CAIAC Configuration
  3. 03
    Test
  4. 04
    Measurement & Learning
Guided project
  1. 01
    Business objective
  2. 02
    Boxing
  3. 03
    Expert services if necessary
  4. 04
    Data Foundations, AI, process
  5. 05
    CAIAC deployment
  6. 06
    Industrialization

Services are optional and contextual: they are not a prerequisite for CAIAC.

Modalities

A defined scope before you start.

Early access. The conditions depend on the use case, the perimeter and the level of support required during the experiment.

guided project. Perimeter, calendar, integrations and support are defined after a first scoping phase.

Each commitment is dimensioned according to the perimeter and level of support required.

Let's identify the best starting point for your organization.

A specific use case can begin in Early access. A more complex environment may require scoping and complementary services before moving to scale.