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We make your
Brand Intelligence architecture

Build the best knowledge graph
and the most competitive marketing organisation

Consulting Mission 01

A six-step process connecting brand growth and AX

Just as every company builds a different growth trajectory, every knowledge graph is built its own way

  1. 01Growth model diagnosisWe diagnose the brand's growth mechanism and its core value
    Defining the company's knowledge assets and its problem
  2. 02Ontology designWe define the ontology and relationship model that explain the growth structure
    Designing an AI-facing brand architecture
  3. 03Knowledge graph buildWe structure the data and build the brand knowledge graph
  4. 04Data & connectionsWe connect internal and external data and keep updating (expanding) it
  5. 05AI adoption & automationWe use AI agents connected to the knowledge graph to automate work
    and support the best possible decisions
  6. 06Running the growth engineWe measure results and run it as a sustainable growth engine
Layer structure of the brand knowledge graph

Consulting Mission 02

A brand knowledge graph completed through collaboration

CS, marketing, PR, product and sales all share data, and those connections complete the knowledge graph

WHAT CONSULTING DELIVERS

Change
the Works

The AX transition,
building a new structure for working together with AI agents

  • Turning the knowledge graph
    into an asset
    Structure scattered knowledge,
    accumulate it as a company asset,
    and use it in marketing and decisions
  • Data-driven decisionsEvery decision is made
    on the basis of data and
    the knowledge graph
  • Measurement & optimisationReal-time results and insight support
    continuous optimisation and
    growth
  • AI agents & automationRepetitive work is automated, and AI agents take on decisions and
    execution, then share the outcome

FAQ

Frequently asked questions
about consulting

If you have more questions, get in touch and we'll advise you based on your brand's situation

It is for companies whose product and service information is scattered across channels, so AI answers never describe them consistently.

The impact is greatest in B2B and professional services, where evaluation cycles are long and comparison is heavy, and in categories where brand trust decides the purchase.

We check your current AI exposure at the diagnosis stage first, then decide the scope of the consulting.

Six steps: growth model diagnosis → ontology design → knowledge graph build → data & connections → AI adoption & automation → running the growth engine.

The first three steps define the brand's knowledge structure; the last three connect it to real work and real results.

Product, customer, content and evidence data that used to be scattered are connected into a single structure, so AI understands and describes your brand accurately.

Internally, CS, marketing, PR, product and sales all judge against the same data, so decision speed and consistency rise together.

The standard engagement runs 12–16 weeks and is adjusted to your brand size and the state of your data.

On your side it needs about one marketing lead and one product lead joining a weekly working session.

Data preparation and the graph build are led by the FlipB team.

Yes. At the end we hand over the knowledge graph and the operating guide as they are, and from there you move into the growth-engine stage with regular reporting and optimisation.

Most clients combine this with a platform subscription so the metrics are tracked automatically.