Applied AI & Intelligent Automation
Turn AI opportunities into governed, production-ready capabilities that improve decisions, reduce repetitive coordination and make digital products more useful.
AI Strategy, Readiness & Use-case Prioritization
AI opportunity assessment, value/risk prioritization, data readiness, architecture choices and a practical roadmap from pilot to production.
GenAI, RAG & Knowledge Assistants
Enterprise knowledge assistants, retrieval-augmented generation, secure content grounding, conversational experiences and evaluation.
Common AI Agent & Assistant Framework
A reusable foundation in development for configurable chatbots, assistants and tool-using agents across Srushti products and industry workflows — with shared grounding, actions, guardrails, evaluation and integration patterns.
Document Intelligence
Extract, classify, validate and route information from business documents while keeping review and exception handling visible.
Agentic Workflows & Intelligent Automation
Workflow agents and orchestration for recurring coordination, approvals, notifications and operational tasks with appropriate human control.
Data, Analytics & AI Integration
Connect models and AI capabilities to enterprise data, applications, APIs and analytics so intelligence operates inside real workflows.
AI Evaluation, Governance & Operations
Quality evaluation, monitoring, guardrails, security/privacy patterns, human-in-the-loop design and managed improvement of production AI.
Discover → Validate → Productionize → Improve.
Discover
Prioritize use cases against business value, feasibility and risk.
Validate
Prototype with real data/workflows and measurable acceptance criteria.
Productionize
Integrate, secure, evaluate and operationalize the capability.
Improve
Monitor quality, usage, cost and business outcomes over time.