RESOURCES   ·   Overview   ·   White Paper   ·   Evidence Methodology   ·   Applied Evidence   ·   Test Deployments   ·   Current Thinking   ·   FAQ

CASE STUDIES   ·   Applied Evidence   ·   Manufacturing & Distribution   ·   Finance, Insurance & Wealth   ·   Retail & eCommerce   ·   Technology & Digital Platforms   ·   Automotive & Mobility   ·   Hospitality & Travel   ·   mAI Hub   ·   Evidence Methodology

Applied Evidence

See the system at work and inspect the evidence.

Review real-world engagements, anonymized evidence and controlled mAI test deployments across Plan → Execute → Measure → Optimize, with AI Marketing Brain decision support and Human Command.

PLAN

Context + KPI definition

EXECUTE

Governed workflows

MEASURE

Signals + evidence

OPTIMIZE

Learning + action

Every case is mapped to the operating system, decision logic, evidence class and measurable outcome available for that engagement.

EVIDENCE STANDARD

Know what kind of evidence you are reviewing.

mAI separates applied evidence from controlled demonstrations so architecture, production experience and reported outcomes are not presented as interchangeable claims.

Real-world evidence

Client or production work where the context and evidence are publishable.

Anonymized evidence

Applied work with identities or sensitive operating details protected.

Controlled test

mAI Hub models and workflows using public or test context. Not a client-result claim.

Methodology

Baselines, P² measures, limitations and validation standards used to interpret evidence.

APPLIED CASE STUDIES

Evidence in operating context.

The outcomes below are reported for the specific engagements described. They are not forecasts or guarantees. Open each case for the available context, measurement details and limitations.

ANONYMIZED APPLIED EVIDENCE · B2B TECHNOLOGY

31% More SQLs

Reported outcome: pipeline quality, prioritization and coordinated optimization improved sales-qualified lead volume.

OS: Plan → Execute → Measure → Optimize
Human Command: governed oversight

ANONYMIZED APPLIED EVIDENCE · SAAS

35% Higher Trial-to-Paid Conversion

Reported outcome: unified funnel signals, scoring and campaign optimization improved conversion quality.

OS: Plan → Execute → Measure → Optimize
Human Command: governed oversight

ANONYMIZED APPLIED EVIDENCE · FINANCIAL SERVICES

27% More Client Acquisitions

Reported outcome: predictive prioritization and governed workflows improved acquisition efficiency.

OS: Plan → Execute → Measure → Optimize
Human Command: governed oversight

ANONYMIZED APPLIED EVIDENCE · HEALTHCARE

38% Higher Patient Engagement

Reported outcome: governed outreach workflows improved engagement and reporting efficiency.

OS: Plan → Execute → Measure → Optimize
Human Command: governed oversight

ANONYMIZED APPLIED EVIDENCE · MANUFACTURING

30% More Qualified Leads

Reported outcome: distributor and OEM signals were prioritized to improve lead quality.

OS: Plan → Execute → Measure → Optimize
Human Command: governed oversight

ANONYMIZED APPLIED EVIDENCE · SUSTAINABLE MANUFACTURING

32% More Qualified Leads

Reported outcome: integrated digital and analytics signals improved high-value lead prioritization.

OS: Plan → Execute → Measure → Optimize
Human Command: governed oversight

ANONYMIZED APPLIED EVIDENCE · DTC ECOMMERCE

42% Higher Checkout Completion

Reported outcome: purchase-intent signals, recovery and spend optimization improved checkout completion.

OS: Plan → Execute → Measure → Optimize
Human Command: governed oversight

ANONYMIZED APPLIED EVIDENCE · CONSUMER BRAND

48% Higher Social Engagement

Reported outcome: AI-assisted brand voice and personalization increased engagement with human brand oversight.

OS: Plan → Execute → Measure → Optimize
Human Command: governed oversight

EXPLORE BY OPERATING CONTEXT

Different industries create different decision constraints.

Manufacturing & Distribution

Distributor demand, fragmented data, long cycles and channel attribution.

Finance, Insurance & Wealth

Regulated claims, approvals, explainability, trust and lead quality.

Retail & eCommerce

Acquisition efficiency, merchandising, lifecycle and first-party signals.

Technology, AI & Digital Platforms

Complex buying groups, category positioning, demand generation and GEO.

Automotive & Mobility

Dealer ecosystems, inventory demand and distributed activation.

Hospitality & Travel

Seasonality, market variation, lifecycle and demand forecasting.

P² + GOVERNANCE

Evidence is stronger when the system is inspectable.

Productivity and Precision are interpreted beside operating context, baseline, decision logic and Human Command. This distinguishes what mAI is designed to do, what has been demonstrated, what has been reported and what still requires validation.

CONTROLLED EXPLORATION

Explore the mAI Hub.

Test deployments make workflows and decision patterns inspectable without presenting demonstrations as production client evidence.

From evidence to strategic fit

Compare Managed mAI and Custom Enterprise mAI based on control, governance, integration and data-sovereignty requirements.

EVIDENCE PATH

Choose the evidence appropriate to the decision.

Use Applied Evidence for engagement-specific outcomes, industry pages for operating context, mAI Hub for controlled test deployments, and Evidence Methodology for baselines, attribution limits and claims classification.

STRATEGIC DILIGENCE   ·   Technology   →   Architecture   →   Evidence   →   Deployment   →   Leadership

STRATEGIC EVALUATION   ·   Technology   →   Architecture   →   Evidence   →   Resources   →   Strategic Conversation