Business Challenges in Decision Making
Enterprises today grapple with exponential data growth spanning structured systems (CRM, ERP) and unstructured sources (emails, images, videos, and PDFs). Rapid digital transformation has led to fragmented data silos, heterogeneous formats, and rising storage costs. Companies need to make business decisions in an agile manner to respond to rapid business change and proactively plan for anticipated events. However, manual data preparation, labeling, and classification are time-consuming and error-prone processes, slowing down data-driven decision making. As a result, AI adoption is slowed by disconnected governance and legacy processes & workflows.
Organizations face difficulty synthesizing insights across modalities – combining numerical KPIs with qualitative context such as customer sentiment or visual content – hampering real-time, data-driven decision-making. This results in operational inefficiencies, compliance issues, and delayed responses to market opportunities.
Why Enterprises Need Decision Intelligence
Decision Intelligence (DI) bridges data, analytics, and AI to enhance decision-making with context, automation, and reasoning. It integrates data-driven insights with domain expertise and AI-powered synthesis so teams can act faster and with conviction.
With the convergence of Agentic AI — autonomous, reasoning-driven AI systems — Decision Intelligence evolves beyond dashboards into action-oriented insights & intelligence. Using multi-agent collaboration, AI orchestration, and observability frameworks, enterprises can move from descriptive analytics to autonomous decision systems that learn, adapt, and act on your behalf in real time.
Tredence ATOM for Agentic AI: Decision Intelligence Solution
Tredence ATOM for Agentic AI is an enterprise-ready Decision Intelligence solution jointly built with Databricks and is a Databricks certified Brickbuilder Accelerator. It unites multi-agent orchestration, RAG (Retrieval-Augmented Generation), Text2SQL, and secure governance into one Databricks-native solution, customizable for your enterprise.
This solution is a cross-industry horizontal accelerator that is a Databricks certified Accelerator and can be deployed with Agent Bricks. It can be customized for your industry and enterprise data within a few weeks.
Each agent in the ecosystem handles specialized functions—data retrieval, structured query generation, or multimodal synthesis—coordinated through a reasoning-oriented orchestration agent on Databricks. The set of agents are designed in a composable manner to automate the collection, synthesis, and contextualization of multimodal data—structured tables, documents, images, and logs. It can scale to about 1 million complex documents or similar content.
Technical Architecture
At the core is the Databricks Data Intelligence Platform, providing unified compute, storage, and governance layers for secure AI operations. Key layers include :
- Unstructured Data Synthesis (RAG): AI agents retrieve relevant documents and feed contextual knowledge into LLMs for precise, source-grounded answers.
- Structured Data Analysis (Text2SQL): Converts natural language queries into optimized SQL, enabling self-service analytics.
- Search & Retrieval: Optimized searches, semantic models, and advanced vectorization of multimodal datasets ensure accuracy & relevance across text, image, and video content.
- Security & AI Governance: Implemented through Databricks industry-leading Unity Catalog for role-based access, lineage tracking, and governance. The solution provides key metrics around accuracy, usage, safety, and cost out-of-the-box, with easy means to add more metrics.
- Multi-Agent Orchestration: Built using open-source Agentic frameworks such as LangGraph, Agent Development Kit (ADK) and Agent Bricks, the solution makes it easy to automate workflows. It uses MLflow for model coordination, monitoring, and adaptation across pipelines.
This architecture ensures governed, reliable, and explainable AI, integrating Mosaic AI’s capabilities with Databricks-native pipeline management & scalability.
Benefits to Enterprises
Tredence’s ATOM for Agentic AI enables organizations to:
- Accelerate decision cycles by automating ingestion and reasoning across multimodal data.
- Enhance accuracy and reduce hallucinations with retrieval-grounded responses.
- Optimize costs, achieving savings up to $10M annually through automation.
- Improve AI trust with built-in Responsible AI metrics, explainability, monitoring, and bias detection.
- Enable AI democratization, empowering non-technical users to query data naturally and act decisively.
- Ensure compliance and governance via Databricks Unity Catalog with full audit trails.
Case Study
Tredence ATOM AI for Agentic AI enabled a leading Private Equity & Credit platform leader to reduce diligence cycle time by over 80% and deliver an estimated $8M–$10M in annual savings. This solution was implemented on Databricks’ robust, scalable cloud infrastructure to meet the demands of financial institutions.
Key capabilities included:
- Secure, Scalable & Flexible Deployments – Using Databricks Model Serving & MLFlow for dynamic updates and LLM targeting.
- Containerized Infrastructure – Automated document parsing, data integration, and validations.
- Advanced Storage Solutions – NoSQL databases for unstructured data with high availability.
- Dynamic Updates for Generative AI – Triggered automatically when new data was uploaded.
The implementation significantly reduced diligence time, enabling faster investment decisions for this PE firm:
- 70–90% reduction in time to gather and collate information.
- $8M–$10M annual savings through manpower reduction and increased number of due diligence opportunities.
- 30-45% efficiency gains through enhanced data accuracy and improved decision-making speed across use cases.
You can read more about this implementation [Click here]
Organizations have a huge opportunity to reimagine their decision making and workflows through Agentic AI. Enterprises striving to modernize decision-making can partner with Tredence to operationalize Agentic AI on Databricks. By leveraging our ATOM for Agentic AI solution, your enterprise can turn every data challenge into an intelligent, automated decision opportunity within weeks!
Contact Us about how ATOM for Agentic AI can reshape your data-driven journey.
AUTHOR - FOLLOW
Unmesh Kulkarni
SVP, AI, Tredence Inc.
