Infosys Enterprise AI Workbench

Enterprise AI Workbench (EAIWB) is a modular, scalable AI-as-a-Service (AIaaS) platform designed to create, deploy, and manage Generative AI agents and services. Built on a layered, microservices-based architecture, EAIWB integrates cognitive capabilities, semantic understanding, and robust data handling. As a low-code platform, it enables rapid configuration, testing, and publishing of Conversational AI Assistants across enterprise domains. EAIWB supports both structured and unstructured data, harvesting and preparing data for AI while enabling intelligent agents to serve end business users effectively.

Core Modules of Enterprise AI Workbench Knowledge Harvesting The Harvester service supports both structured and unstructured data ingestion. Structured harvesting extracts data from relational sources, fingerprints it, parses and chunks content, and generates vector embeddings for indexing and storage. Unstructured harvesting processes documents such as PDFs, PPTs, ERDs, and images, enriching them with metadata and building a semantic metagraph that captures relationships and context. This enriched metadata feeds into a centralized Data Catalog, enabling intelligent retrieval, contextual query augmentation, and high-quality inputs for downstream AI assistants. Smart Data Fingerprinting EAIWB introduces Smart Data Fingerprinting to efficiently structure harvested data for secure storage and retrieval. This approach leverages vector stores enriched with metadata, enabling fine-grained access control and contextual consumption at runtime. Fingerprinted data supports cataloging, tagging, reporting, and ensures AI agents access only relevant, authorized information with precision and compliance. Agent Services Agent Services enable the creation and orchestration of multi-agent systems that operate hierarchically, sequentially, or collaboratively across enterprise ecosystems. Agents dynamically reason, adapt to contextual signals, and coordinate with internal and external agents independently of the user interface. The service manages state and context across sessions, supporting scalable and modular agent networks. A built-in tracing capability provides end-to-end explainability of agent decisions, ensuring transparency and accountability throughout the agent lifecycle. Agent Canvas The Agent Canvas provides an intuitive, unified environment for agent authoring, context engineering, configuration, and state management. It offers advanced debugging and deep explainability features, allowing agents to publish structured insights in real time. This visibility accelerates development cycles, enabling smoother transitions from experimentation to production. Agent Trace The Agent Trace Service delivers real-time visibility into agent execution, revealing reasoning paths and decision flows. This transparency builds user trust, simplifies debugging and optimization, and strengthens accountability in enterprise AI deployments. AI Governance Services Centralized governance capabilities enforce enterprise-grade guardrails such as PII redaction, profanity filtering, entitlement checks, and audit controls, ensuring responsible AI usage and regulatory compliance. Evaluation and Templates Evaluation services assess the precision and reliability of agents built using prebuilt templates from the Infosys AI Brain SDK. These templates are fully customizable, support configuration persistence, and significantly reduce time-to-market while enabling scalable, domain-specific AI solutions. Compatible with Bedrock.