Arvenik partners with business and technology leaders to modernize data, analytics, and AI systems on AWS.
We partner with teams to turn fragmented data, reporting, and operational knowledge into governed systems for analytics, automation, and AI.
Pipelines, models, and quality checks that make business data reliable.
Dashboards, metrics, and reporting workflows built for decision-making.
Document intelligence, RAG, and governed actions where they create leverage.
AWS data, analytics, and AI architecture
Direct access to architects who have delivered cloud, data, and AI systems in enterprise environments.
Focused pilots with working reference patterns, not months of abstract discovery.
Security, source attribution, approvals, and handover are treated as core delivery requirements.
Core Services
For teams that need reliable data pipelines, modeled datasets, and cloud architecture that can support analytics and AI use cases.
For teams moving from brittle reports to governed dashboards, semantic models, and decision workflows on trusted data.
For teams that want document intelligence, RAG, and governed automation connected to real business processes.
BI Migration Accelerator
MigratIQ is our in-house BI migration accelerator for moving Tableau workbooks into Amazon QuickSight. It automates the repeatable parts, identifies migration risk early, and guides review where calculated fields, visuals, or source mapping need human validation.
Reference Implementation
We engineered this finance operations workflow end-to-end to validate how structured data, document knowledge, and governed action can work together. It is one reference pattern within a broader data, analytics, and AI delivery practice.
Resolving financial exceptions often means piecing together information from multiple systems. Finance teams must review ERP records alongside vendor agreements and internal policies, creating a manual process that is slow, repetitive, and difficult to scale.
To streamline that work, we built a policy-aware system that combines structured financial data with agreement intelligence. Using RAG on Amazon Bedrock, the solution retrieves the right contract language, applies internal credit policy, and recommends a governed next step for finance teams.
Where We Help
Dashboards, semantic models, QuickSight migrations, and executive reporting built on trusted data.
Ingestion, transformation, quality checks, and cloud data architecture for analytics and AI use cases.
Search, retrieval, source-linked answers, and evaluation workflows for internal knowledge.
Governed actions, routing, approvals, and human-in-the-loop processes around business operations.
If you already know the workflow you want to pilot, we can validate the scope. If not, we can help narrow it to one practical use case.
Book a 30-min call →Direct Contact
info@arvenik.ai