ATOM for Agentic AI
An enterprise-ready decision intelligence solution developed by Tredence and powered by the Databricks Data Intelligence Platform
ATOM for Agentic AI
An enterprise-ready decision intelligence solution developed by Tredence and powered by the Databricks Data Intelligence Platform
Reimagining Decision Intelligence
Enterprises today face an avalanche of information - over a million documents, dozens of diligence cycles, and fragmented data spread across silos. Analysts spend weeks stitching insights together, only to produce inconsistent, manual outputs that slow down decision-making and inflate costs.
ATOM for Agentic AI accelerates this journey by combining multi-agent orchestration, observability, and governance into one ecosystem, built on the Databricks Data Intelligence Platform. With this solution, organizations can shorten diligence cycles by more than 80%, unlock $8M–$10M in annual savings, and build trust in AI-driven decision-making through explainability, monitoring, and security.
Overview
Agentic AI solution on Databricks for document and data synthesis that addresses key business challenges in managing and extracting insights from large-scale, complex enterprise environments.
ATOM for Agentic AI brings together an ecosystem of accelerators that span the full lifecycle of adoption:
Helps enterprises assess feasibility and business value for agentic AI adoption, including data, security, and architecture readiness on Databricks.
Designs, builds, and deploys production-grade AI solutions with intelligent agents for structured and unstructured data.
Institutionalizes AI adoption with observability, cost and performance optimization, governance, and workforce upskilling to enable scale.
These accelerators give enterprises the ability to modernize infrastructure, automate decision-making, and institutionalize governance without slowing down innovation.
Under the hood, ATOM for Agentic AI integrates a set of advanced agentic AI capabilities. An orchestration agent manages workflows and task decomposition, while text-to-SQL engines make structured data analysis accessible to non-technical teams. Retrieval-augmented generation (RAG) enables knowledge extraction from documents, images, and logs, supported by a secure governance framework that enforces access control, monitors model drift, and detects bias. Together, these components create a governed and scalable architecture that enterprises can trust.
Driving Growth through Personalization and Continuous Optimization. Gains Include:
Discover Tredence ATOM.AI Decision Intelligence, a Databricks-powered solution that uses Agentic AI to analyze and synthesize multimodal content, automate complex workflows, and accelerate decision-making. Learn how to transform data into actionable insights and achieve significant cost savings.
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