AI Automation & Agents
Sankya Solutions designs and delivers LLM-powered automation that reduces cycle time and manual effort while remaining safe, auditable, and production-ready. We build AI agents and intelligent workflows that integrate seamlessly with your existing systems, retrieve the right knowledge at the right time, and operate within defined guardrails—including human approvals where required.
Our focus is on moving beyond demos and proof-of-concepts to deploy automation that delivers measurable ROI. Every solution is designed with reliability, security, and maintainability in mind, ensuring AI becomes a dependable part of daily operations rather than an experimental tool.
What We Do
AI Automation and Agent systems use large language models (LLMs) to interpret user requests, retrieve relevant context, and take actions through tools and integrations to complete end-to-end workflows. These systems often include human-in-the-loop controls to maintain accuracy, compliance, and trust—especially in regulated or high-impact environments.
We design agent architectures that balance autonomy with control, combining retrieval-augmented generation, workflow orchestration, and policy enforcement to deliver consistent, explainable outcomes across business and technical use cases.
Our Expertise Covers
Use Case Selection & ROI Sizing
We identify high-impact automation opportunities and quantify expected ROI to ensure efforts are aligned with business value from day one.
Agent & Workflow Design (Tools, Retrieval, Policies)
We design agent architectures that combine tool usage, knowledge retrieval, and policy enforcement to safely execute complex workflows.
RAG Knowledge Bases (Vector Databases, Retrieval Tuning)
We build and optimize retrieval-augmented generation pipelines to ensure agents access accurate, relevant, and up-to-date information.
Human-in-the-Loop Controls & Escalation
We implement approval flows and escalation mechanisms to maintain oversight, reduce risk, and support regulated decision-making.
Evaluation Frameworks (Accuracy, Relevance, Safety)
We establish evaluation methods to continuously measure quality, reliability, and safety of AI outputs.
Monitoring & Observability (Quality, Cost, Latency)
We enable ongoing monitoring of AI systems to track performance, usage, costs, and response times in production.
Integration with Enterprise Systems (APIs, Ticketing, CRM)
We integrate AI agents with enterprise tools and platforms to automate real workflows across business functions.
Prompt & Policy Management
We manage prompts and policies centrally to ensure consistency, version control, and controlled evolution over time.
Secure Deployment & Audit Trails
We deploy AI solutions with security controls, logging, and auditability to support governance, compliance, and trust.