A digital lead generation and remarketing platform for the insurance industry came to Armakuni for aWS Landing Zone, governed Data Lake, and GenAI-powered BI analytics enabling click-level consumer data analysis, automated business intelligence, and an AI-driven email campaign platform.
The challenge
Armakuni was brought in on a GenAI BI scoping engagement and expanded across four SOWs as each phase unlocked the next. The initial GenAI BI work identified that no usable data foundation existed, which led directly to the Landing Zone and Data Lake SOW, then the Analytics PoC, and then the email platform design. Armakuni is MTLeadMedia's named go-to partner for all data and AI initiatives through 2026.
Scale: 45,000+ consumer records in the data lake and growing; click-level tracking of lead interactions across insurance verticals.
What we built
Armakuni delivered aWS Landing Zone, governed Data Lake, and GenAI-powered BI analytics enabling click-level consumer data analysis, automated business intelligence, and an AI-driven email campaign platform. The engagement ran as fixed-scope SOWs: GenAI BI Use Case (Feb 2025). AWS funded the work at $15,657.
The outcomes
6 measurable outcomes shipped across the engagement. The ones that moved the business the most:
70% faster data enrichment from ingestion through Tier 2 and Tier 3 processing. Lead profiles and campaign metrics are current at the moment decisions are made instead of lagging behind the business.
99% of assessments now searchable through natural-language chat. Anyone in the organisation can ask a business question in Q for QuickSight and get an answer from live data, with no request or spreadsheet.
100% data availability across the governed data lake. Every lead interaction, campaign event, and enriched profile is continuously replicated and available to analytics and machine-learning workloads.
45,000+ consumer records in a governed, multi-tier lake and growing. Cross-region replication makes it the foundation for SageMaker training, inference, and analytics workloads that previously had no path to production.
Nearly 2x MRR as revenue intelligence turns into faster action. The business now sees which traffic sources, carriers, and campaign configurations drive revenue and acts on that signal sooner.
Per-email vendor charges replaced by AWS-native infrastructure they own. Amazon Pinpoint and applied AWS funding swapped a third-party provider's per-email costs for infrastructure the company controls.
Armakuni has done a phenomenal job with our team, they are our go-to partner for 2026 for all data and AI initiatives.
Brandon Hoffman, CEO, A clinical-stage health technology company
Built on AWS
Delivered under our AWS Data and Analytics, Migration and Modernization, AI Services competencies.
What's next
SageMaker model deployment for lead scoring and bid optimisation; Amazon Pinpoint email platform go-live with AI-driven send-time optimisation; QuickSight extended into a customer-facing analytics product for insurance carriers.