Case study
Breaking the 90-day decision cycle
- how a global automotive leader achieved real-time insights with Gen AI
The most expensive data is yesterday's data - especially when your competitors are making decisions today.
Data-driven businesses need real-time decisions. This is especially critical in automotive, where Connected Services Operations departments generate continuous streams of insights that can transform strategy overnight. Yet many organizations struggle with delayed reporting cycles, expertise bottlenecks, and the challenge of turning complex analytics into executive intelligence. The result? A dangerous gap between data generation speed and decision velocity - leaving companies reactive when they need to be proactive.
The data delay dilemma
Our client exemplified this challenge: senior management received comprehensive connected services data every 90 days through a single engineer who managed their complex BA platform. While the analysis was thorough, executives found themselves making critical business decisions based on information that was already three months old. We identified the breaking point: the gap between data richness and decision timing. It was time to act.
AI-powered daily insights enable real-time executive decision-making.
Our approach delivered significant benefits for senior leadership across the organization.
Approach
Rather than rebuilding the entire analytics infrastructure, we implemented a targeted GenAI chatbot integrated with existing Connected Services dashboards. Previously, transforming complex BI data into executive-ready reports required three months of preparation and consumed 25% of the Connected Services department's capacity. Our solution replaced this bottleneck with a practical tool that delivers insights "here and now" - enabling senior managers to ask questions in natural language without time constraints or engineering support.
For the Connected Services Operations team:
Elimination of repetitive work
real-time access to automatic reports eliminated routine data preparation tasks.
Focus on strategic analysis
more time for deep-dive analysis and proactive problem detection instead of preparing basic summaries.
Reduced executive pressure
no more sudden requests for ad-hoc reports that interrupted strategic work.
For senior managers:
Real-time decision making
access to current data at any time via natural language commands, enabling proactive rather than reactive management.
Self-service analytics
independence from the Connected Services team for routine queries and standard reports.
For the enterprise:
Accelerated response time
from 90-day cycles to immediate access for critical decisions affecting connected vehicle strategy.
Competitive advantage
instant response capability to market signals from connected vehicles.
Agile hypothesis testing
real-time ability to validate business assumptions and strategic pivots.
Democratized insights
executive-level access to data without operational bottlenecks.
Minimal technological change, maximum organizational transformation
Summary
Breaking linear operations doesn't require massive overhauls. One strategic intervention - a GenAI chatbot that responds to natural language questions - created exponential impact across the organization. The client transformed from quarterly decision cycles to daily insights capability, fundamentally shifting their approach to executive decision-making.
Transform your data bottlenecks into competitive advantages.
Contact us to discuss your strategic AI implementation.