SaaS
Customer-Facing Analytics & API Integration Platform
Intelligent analytics layer with live data API feeds powering client-facing dashboards
View case study →Service
AI-powered Analytics
Natural language access and intelligent summaries built on trusted data foundations.
Typical timeline · 6–12 weeks
AI analytics layer
Live previewExecutive summaries
↑ 12%
Forecasting
94.2%
Natural language querying
8.4×
Performance trend
Challenges
- AI initiatives launched on ungoverned data
- Executives want answers, not another tool to learn
- Forecasting models disconnected from operational reality
Outcomes
- AI layer grounded in certified metrics and lineage
- Automated narrative summaries for leadership reviews
- Forecasting workflows integrated into planning cycles
Engagement process
01
Discovery
Map decision workflows, data sources, and KPI gaps. Align stakeholders on outcomes before architecture.
02
Architecture
Design the data platform, integration patterns, and semantic model. Validate against security and compliance requirements.
03
Build
Deliver pipelines, certified datasets, and dashboards in phased releases. Parallel-run against existing reports where needed.
04
Enable
Train business teams, document KPI ownership, and establish refresh monitoring. Transition to managed operations.
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View case study →Deliverables
Executive summariesForecastingNatural language queryingIntelligent reporting assistants
Led by Ayush Dubey, Principal Data Platform & AI Consultant.