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Google Cloud Commercial and Professional Services New Zealand

Overdose Digital

Enterprise Knowledge Search · Marketing Personalization

For years, Overdose Digital has managed nearly 300 clients, using custom reporting that relied on manual interpretation. This led to dashboard fatigue, where clients were presented with static graphs, which didn't intuitively lead to action.

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Reported impact

Business outcome

is a pioneering global digital commerce agency delivering world-class execution across strategy, experience, technology, marketing, search, data, and AI.

  • Customer Experience
  • Productivity Improvement
  • Revenue Growth

Solution

Overcame the enterprise trust barrier by using Looker's semantic layer to ground AI and dramatically reduce hallucinations Overdose Digital built a central intelligence layer with Looker and BigQuery, then launched Project Bluesky to link data with creative production. They also used Gemini and Vertex AI to create an agentic workflow that generates hyper-localized assets with human oversight. We realize that our industry is changing, and we are now an entirely AI first business. Data underpins everything we do, and we believe Looker provides the new baseline of semantic data required to enable future focused, predictive work. It allows us to move beyond telling clients what happened, to telling them what to do next.

Solution architecture

6 components · 3 layers
  1. Compute
    • Gemini Provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis.
  2. Storage
    • BigQuery Serves as the governed analytics and storage layer for high-volume operational data, features, and reporting.
    • Cloud Storage Stores source documents, media, or raw files that feed the automated workflow.
  3. Serving
    • Looker Serves dashboards, governed metrics, or natural-language analytics on top of the shared data model.
    • Veo Generates or enhances creative media assets inside the customer-facing experience.
    • Nano Banana Generates or enhances creative media assets inside the customer-facing experience.

Architecture clues

  • Developed an agentic workflow where data actively triggers autonomous creative content generation
  • Overdose Digital built a central intelligence layer with Looker and BigQuery, then launched Project Bluesky to link data with creative production.
  • Turning trusted data into autonomous creative agentic action
  • Ushering in the era of agentic commerce

Evidence from the source

Automated the creative feedback loop using BigQuery AI to detect creative fatigue and trigger instant optimizations
Overcame the enterprise trust barrier by using Looker's semantic layer to ground AI and dramatically reduce hallucinations
Overdose Digital built a central intelligence layer with Looker and BigQuery, then launched Project Bluesky to link data with creative production. They also used Gemini and Vertex AI to create an agentic workflow that ge
Transformed from a traditional agency into an AI-first consultancy using Looker as a central intelligence layer
We realize that our industry is changing, and we are now an entirely AI first business. Data underpins everything we do, and we believe Looker provides the new baseline of semantic data required to enable future focused,
Transparency Evidence & methodology 61/100 reference value · 75% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value61/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity16/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence75%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity6/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Google Cloud

    Overdose Digital customer story

    First-party
    https://cloud.google.com/customers/overdose-digital
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • First archived Feb 26, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
  • Sitemap last modified Feb 13, 2026 · Google Cloud · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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