Turning Data Investments Into AI Outcomes
BellurbisData.ai is where data meets intelligence.

How It Benefits
Bellurbis Data + AI helps organizations move from data foundations to AI monetization, using accelerators that are faster, leaner, and outcome-driven.
- Fast ROI – measurable results in 3–6 months
- Accelerator-First Approach – proven modules that reduce risk
- Outcome Guarantees – every engagement tied to clear KPIs

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Yesterday’s Agenda (last 3-5 years)
We build cloud platforms, migrate data, and implement governance and dashboards to deliver measurable ROI.
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Today’s Reality
Cloud costs and compliance risks are rising, insights remain siloed, and many AI pilots stall at proof-of-concept.
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Tomorrow’s Imperative (next 5-7 years)
Embed AI across business functions to drive revenue, cut costs, ensure compliance, and deliver better customer experiences.
Quick Wins: Data Platform to AI Monetization
Cost Optimization ( AI + FinOps + Data Ops )

Cloud Spend Visibility & Anomaly Detection
AI models flag unusual spikes in storage, compute,
or query costs.(e.g.Snowflake cost governance dashboards,
BigQuery slot usage optimisation.)
Outcome
15–30% reduction in cloud spend
within 3–6 months.
ETL/ELT Optimisation with AI Ops
Identify redundant or unused pipelines/queries.
Auto-tune workloads for cheaper execution.(e.g.,
smaller warehouse sizes, spot instances).
Outcome
Lower data processing cost, faster
jobs.
Data Storage Tiering with AI Recommendations
Move cold data to cheaper storage automatically.
Outcome
Cost savings + improved compliance
Operational Efficiency Quick Wins

Invoice & Expense Automation (AI + RPA)
Automate invoice matching, reconciliation, and
approvals.
Outcome
Faster cash cycle, reduced finance team
workload.
Customer Support Copilot
AI summarises support tickets, recommends
responses, integrates into Zendesk/ServiceNow.
Outcome
Faster resolution times, improved CSAT.
Demand Forecasting for Inventory & Supply Chain
Predict demand using AI on sales + seasonal + external
data.
Outcome
Reduced stockouts, lower inventory costs.
Revenue Growth / New Product & Sales Accelerators

AI-Powered Sales Recommendations
- Predict next-best-offer / upsell for existing customers.
- AI insights plugged into CRM (Salesforce, HubSpot).
Outcome
Higher conversion rates, increased
customer lifetime value.
Personalised Marketing Campaigns
Segment customers using AI clustering.
Launch hyper-personalised campaigns (email, digital
ads, loyalty apps).
Outcome
10–20% uplift in campaign ROI.
Dynamic Pricing & Promotions
- AI adjusts pricing based on demand, seasonality, or
competitor activity. - Retail/e-commerce can run real-time price testing.
Outcome
Margin expansion + competitive advantage.
Data Monetization Quick Wins

Data-as-a-Service (DaaS) Models
Package anonymised market insights for partners
(Snowflake Marketplace, AWS Data Exchange).
Outcome
New revenue stream with minimal capex.
Benchmarking & Insights for Customers
Example: A SaaS company providing customers with
industry benchmarks using aggregated usage data.
Outcome
Increases stickiness & upsell opportunities.
Churn Prediction & Retention Campaigns
- AI identifies at-risk customers.
- Trigger proactive retention actions.
Outcome
Reduced churn, stabilised recurring revenue.
Our offerings
Data Foundation Accelerator
- Cloud Migration +
Governance Starter Kit. - Price: Fixed Fee + Managed Service Option
- Cloud Migration +
AI Insight Accelerator
- AI Copilot + 2 Predictive
Models in 90 days. - Price: Subscription with outcome-based metrics.
AI at Scate Program
- 12-18 Months roadmap.
- Focus on embedding AI into operations, customer engagement, & Compliance.
Managed AI Ops/FinOps
- Ongoing service to monitor
Cost, Governance, and
Performance of AI
workloads
The Data + AI Maturity Pathway
Phase 1
Platform Modernization – Data Platform
Cloud migration, data integration, governance, and self-service BI → Lower infra cost, trusted data, stronger compliance.
Phase 2
AI Experimentation
2–3 high-impact pilots like churn prediction, cashflow forecasting, or copilots for finance/HR → Measurable ROI in 3–6 months.
Phase 3
AI at Scale
Enterprise-wide adoption, MLOps pipelines, predictive maintenance, personalization, ESG automation → Revenue uplift, cost reduction, compliance automation.
AI Bridges the Gap
AI turns data into business value by closing critical gaps
