What challenges did Blackroll face before AI implementation?

Unifying disconnected customer data across separate cloud networks and isolated software applications Building an all-in-one intelligent coaching experience that adapts to wearable signals Grounding AI guidance in verified scientific research and expert knowledge

What was the impact of the AI solution?

Saved 140+ engineering hours in 25 days Activated customized routines dynamically Reduced software footprint by 20% Expected roughly 25% lower running costs over the next year

Source

GCP

Blackroll builds an AI recovery coach with Gemini Enterprise Agent Platform on Google Cloud

Use case typeAI agentsUpdated 1 day ago

Blackroll needed to unify disconnected customer data and build an interactive AI coaching experience that updates guidance based on wearable signals. It consolidated e-commerce records and mobile app events into BigQuery, used Cloud SQL to ingest daily wearable data, and deployed a headless architecture on Cloud Run, Firestore, and Cloud Run functions. Using Gemini Enterprise Agent Platform and Agent Development Kit (ADK), Blackroll built autonomous coaching agents and used Agent Search to ground recommendations in verified scientific research and knowledge from its 5,000 physiotherapists. Antigravity was used to automate software development loops for faster implementation.

Organization: Blackroll
Industry: Other
Location: Germany
Published: July 2026

Reported outcomes

−25%

running costs reductionCost savings

140 hoursengineering hours saved−20%software footprint reduction

Strategic outcomes

New product / capabilityLaunched an AI recovery coaching experienceCustomer experience & trustActivated customized routines dynamicallyBetter decisions & insightShaped coaching strategy from early engagement signals

Catalog median for cost savings deployments: −41% across 333 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

1AI agents
2Customer service agent
3Search modernization

Unifying disconnected customer data across separate cloud networks and isolated software applications
Building an all-in-one intelligent coaching experience that adapts to wearable signals
Grounding AI guidance in verified scientific research and expert knowledge

Consolidated customer and behavioral data in BigQuery
Used Cloud SQL for daily wearable data ingestion
Built a headless application architecture on Cloud Run, Firestore, and Cloud Run functions
Created autonomous coaching agents with Gemini Enterprise Agent Platform and Agent Development Kit (ADK)
Implemented RAG with Agent Search grounded in scientific research and physiotherapist knowledge
Used Antigravity to automate software development loops

Technologies

Gemini Enterprise Agent Platform Agent Development Kit (ADK)Agent Search BigQuery Cloud SQL Cloud Run Firestore Cloud Run functions Antigravity AI Studio Google Cloud Skills Boost

Saved 140+ engineering hours in 25 days
Activated customized routines dynamically
Reduced software footprint by 20%
Expected roughly 25% lower running costs over the next year

Architecture

A unified Google Cloud architecture combining BigQuery, Cloud SQL, Cloud Run, Firestore, and Cloud Run functions, with Gemini Enterprise Agent Platform and ADK for coaching agents, Agent Search for RAG grounding, and Antigravity to streamline development loops.

Implementation partners1

DEPT

Sources & evidence1

Groundedness: 5/5Type: Customer StoryPublished: Jul 1, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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