Elastic and Accenture Collaboration on Data Readiness for GenAI

A joint composable solution available on AWS Marketplace

Udayasimha Theepireddy (Uday)Rekha Thangellapalli

December 1, 2025

Generative AI (GenAI) is reshaping how enterprises work, but its value depends entirely on the quality, structure, and accessibility of the data behind it. Elastic and Accenture have jointly developed a solution that helps organizations address one of the biggest barriers to GenAI adoption: data readiness.

Data readiness matters

Enterprises frequently face challenges, such as:

Fragmented, siloed data spread across multiple systems
Lack of metadata and context, limiting relevance and accuracy
Manual and inefficient data preparation
Compliance and security requirements
Skills gaps in data engineering and GenAI readiness

Prepare data for GenAI: The Data Readiness Engine

The Data Readiness Engine is a composable, scalable, and secure architecture designed to prepare enterprise data for advanced GenAI applications. It combines Elasticsearch, Accenture Aspire, Accenture Professional Services, and the AWS Cloud to create a unified, AI-ready knowledge base.

Key features include:

Seamless data integration: 70+ prebuilt connectors unify structured and unstructured data across enterprise systems.
Security and compliance: The engine inherits organizational controls to protect sensitive information.
AI-optimized search with Elasticsearch: Advanced semantic and vector search enables AI agents to quickly find relevant information using natural language queries.
Always up to date: Automated monitoring ensures content-feeding AI systems remain fresh and accurate.
Scalable and fast: AWS Cloud infrastructure supports petabyte-scale data in distributed, multiregion operations.
Accelerated AI value: Secure APIs and semantic layers help your GenAI applications deliver insights and automation faster.

By automating ingestion, cleansing, and context-building, the Data Readiness Engine for GenAI creates a reliable foundation for enterprise-scale AI.

As AI moves out of proof of concept into production, companies are asking for ways to prepare their proprietary data at scale. Accenture’s industry solutions with proven enterprise connectors, combined with Elastic’s powerful Search AI capabilities and AWS’s scalability, can help organizations turn enterprise data into AI-ready context that drives meaningful business outcomes.

Teresa Tung, Global Data Lead, Accenture

What the joint solution delivers

Elastic & Accenture Solution on AWS Marketplace

Context-driven AI with Elastic

Elastic stands at the forefront of search and AI innovation, empowering organizations to transform how they find, understand, and act on information. Built on the global success of Elasticsearch, Elastic has evolved into the leading Elasticsearch Platform combining real-time search, vector and hybrid retrieval, generative AI, and agentic AI into a unified experience.

Acting as a complete knowledge source, Elastic indexes and understands vast amounts of structured and unstructured data, combining the speed and precision of lexical search with the deep semantic awareness of vector and hybrid search. The Elasticsearch vector database provides scalable, high-performance embedding storage to power both retrieval and reasoning while generative AI integrations transform retrieved data into summaries, explanations, and conversational insights.

Elastic delivers the unified foundation needed for the next generation of intelligent applications. Its strong context engineering layer ensures models receive accurate, relevant information. Elastic Agent Builder adds the ability to create intelligent agents that orchestrate workflows, retrieve knowledge across sources, and take autonomous action.

Every enterprise is sitting on a wealth of data - both structured and unstructured - that can unlock enormous AI potential if it is accessible and contextually searchable with security and privacy. Together with AWS and Accenture, Elastic is making that possible. This collaboration brings trusted data and context engineering to the forefront, enabling customers to move from AI experimentation to production fast and at scale.

Ash Kulkarni, CEO, Elastic

Connectors, expertise, and managed services with Accenture

As part of the solution, Accenture brings several important components:

Preconfigured connectors: Accenture Aspire’s 70+ enterprise connectors create a 360 degree view of data by collecting from multiple domains such as databases cloud storage, business apps, and document repositories.
Professional services: Accenture brings deep industry-specific experience in preparing and securing regulated, multilingual, and domain-specific content for AI consumption.
Managed services: Continuous support for ingestion, monitoring, optimization, and AI lifecycle management reduces operational overhead, speeds time to value, and supports changing business needs.

Solution overview:

Key capabilities:

Data ingestion and preparation
- Prebuilt workflows from Accenture Aspire ingest structured and unstructured data.
- Cleansing, enrichment, and transformation ensure high-quality data for AI applications.
Knowledge base and context layer
- Elastic serves as a centralized knowledge base.
- Real-time retrieval and relevance ranking provide accuracy and context.
- Elastic Agent Builder and Model Context Protocol (MCP) enable rapid development of precise, context-driven agents.
AI model flexibility
- Elastic Inference API provides a flexible interface for running Foundation model inference; organizations can use the Elastic Inference Service (EIS) for GPU acceleration on Elastic, run customer-hosted models, and connect to Amazon Bedrock for foundation model capabilities.
AWS Marketplace and acceleration
- Deploy in one click through AWS Marketplace and get one consolidated bill using your AWS commit.
- Seamless integration with Elastic and AWS services.

Driving AI impact across industries

By combining these strengths, the partnership enables enterprises to unify structured and unstructured data, apply advanced retrieval and relevance techniques, and operationalize agentic AI solutions across many sectors, including healthcare, financial services, manufacturing, and public sector.

The Data Readiness Engine for AI gives organizations a trusted, scalable foundation to move from AI experimentation to real business outcomes.

Next steps

To learn more, visit Elastic at AWS re:Invent, read about the Elastic and AWS partnership, or see how Elastic and Accenture are helping businesses seize the opportunities offered by GenAI.

The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.

In this blog post, we may have used or referred to third party generative AI tools, which are owned and operated by their respective owners. Elastic does not have any control over the third party tools and we have no responsibility or liability for their content, operation or use, nor for any loss or damage that may arise from your use of such tools. Please exercise caution when using AI tools with personal, sensitive or confidential information. Any data you submit may be used for AI training or other purposes. There is no guarantee that information you provide will be kept secure or confidential. You should familiarize yourself with the privacy practices and terms of use of any generative AI tools prior to use.

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