What’s driving AI adoption?
Why enterprises need AI-powered solutions
AI that drives measurable business outcomes
Fractal’s enterprise AI-powered solutions address real-world enterprise challenges, delivering faster decisions, improved efficiency, and cost savings at scale.
1
AI-driven decisioning: AIDE
Automating enterprise decision-making with real-time intelligence
Real-time decision orchestration across business functions
Machine learning-powered adaptive decision-making
Cloud-native architecture with close to complete uptime
Case Study: Eliminating cognitive dissonance, unlocking significant CLV
Challenge: Low conversion, high drop-offs
Solution: AI-driven digital journey optimization
Result:
Bulk daily digital visits analyzed
Significant incremental CLV unlocked
Faster UX improvement cycles
2
Smart decision-making: Consumer Hub
Personalized digital experiences that boost engagement and conversion
Real-time customer insights for hyper-personalization
AI-powered A/B testing for optimized customer journeys
Cross-platform integration with CRM, marketing, and payment systems
3
Catalyst for growth: Caliper
Real-time analytics for smarter business decisions
Interactive, mobile-friendly dashboards
AI-driven automated reporting for faster insights
KPI tracking and predictive analytics for operational efficiency
4
AI-Powered simulation: Trial Run
De-risking business decisions through AI-driven scenario modeling
Load testing and performance monitoring
Digital twin simulations for real-world test cases
Automated resource allocation and cost optimization
Case Study: Optimizing retail store sales with data-driven remodeling
Challenge: Uncertain remodeling impact on sales
Solution: AI-driven experimentation
Result:
Substantial sales lift in remodeled stores
Break-even in short period for large stores
Seamless AI implementation for scalable business impact
From strategy to enterprise-wide AI adoption
Fractal follows a proven, structured approach to ensure seamless AI implementation, driving real business outcomes with measurable success.
Phase 1
AI strategy and readiness
What we do
Assess data readiness and compliance requirements
Identify business challenges and AI opportunities
Define success metrics and ROI modeling
Build a custom AI roadmap
Outcome: AI solutions tailored to business needs, ensuring a clear path to impact
Phase 2
AI solution design and development
What we do
Design intuitive dashboards and user experiences
Develop AI models and automation workflows
Ensure scalability, security, and governance
Integrate AI into enterprise data systems
Outcome: AI-powered solutions built for enterprise scalability and efficiency
Phase 3
Deployment and optimization
What we do
Deploy AI solutions across multiple business functions
Implement real-time monitoring and model retraining
Provide ongoing AI governance and enhancements
Ensure compliance with industry regulations
Outcome: A future-ready AI ecosystem with continuous learning and impact measurement
Thought leadership
