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Model Gallery

See the system at work, model by model

Demonstration models show how the AI Marketing OS and AI Marketing Brain can be configured for different industries: the decisions mAI supports, where people approve, and how the work is measured.

Built on public context  ·  Not client deployments  ·  No results reported

Looking for measured client outcomes? Real, anonymized client deployments are reported separately, with baselines and limits.  Review Applied Evidence →

Industry 01

Finance, Insurance & Wealth

Regulated, trust-intensive journeys where claims, targeting and data use need defined approval.

Human CommandRegulated claims, targeting, budgets and sensitive data use require defined approval.
Measured throughQualified inquiry to client acquisition rate, with coordination hours, reporting latency and recommendation traceability.

Finance industry context →

Industry 02

Retail & eCommerce

Local demand, product complexity and recurring journeys across stores, categories and lifecycle.

Human CommandStrategy, audiences, material budgets and brand-critical creative stay under human authority.
Measured throughCheckout completion among eligible journeys, alongside margin and returns where available.

Retail industry context →

More industries

Additional demonstration models, grouped by industry

Each page collects the named-company models for that industry and the context behind them.

How to read these models

Named-company models use public or non-proprietary context to demonstrate possible configurations. They do not imply a client relationship, a real deployment, regulatory approval or an achieved business result. Operating targets remain targets.

Evidence rules

See how baselines, attribution limits and claims are classified.

Discuss your context

Bring the operating problem, your stack, your governance requirements and the outcome you need to measure. We will map where mAI could add leverage.

Start with a conversationShare context first. We map fit before any commitment.
Test it on one workflowA Proof Sprint tests mAI on one marketing workflow, with a baseline, a measure and a go, adjust or stop decision at the end.