GenAI Governance

GenAI needs operating rules before it spreads across teams, tools and workflows

Enterprise GenAI adoption often begins with experiments, but risks increase when prompts, documents, model access and outputs are not governed.

Sampark helps create a practical governance layer that defines what GenAI can access, what it can produce, where human review is required and how usage is monitored.

The delivery focus is on safe adoption, clear accountability, controlled access and auditable GenAI operations.

Governance that helps GenAI scale without losing control

Sampark helps enterprises move GenAI from experiments to controlled adoption with practical rules, access controls, review workflows, audit visibility and improvement reporting.

Clear Use Case Boundaries

Define where GenAI can be used safely, where approval is needed and where usage should be restricted.

Controlled Data Exposure

Limit AI access to approved knowledge sources, user-permitted documents and governed enterprise content.

Safer AI Outputs

Reduce risk through response guardrails, prohibited-output rules, confidence checks and escalation logic.

Human Review Where Needed

Keep sensitive, high-impact or uncertain outputs under authorised business review before action.

Audit-ready Operations

Maintain traceability for prompts, retrieved sources, generated responses, overrides and reviewer actions.

Continuous Improvement

Use monitoring, feedback, exceptions and failed responses to improve prompts, policies and knowledge quality.

Clinical and Operational AI

Healthcare Intelligence & Automation

AI agents, NLP, and workflow intelligence for patient support, healthcare records, and hospital operations.

Clinical AI Stack

Patient Engagement AI Conversational support for patient journeys Clinical Workflow Support AI-assisted coordination across care teams Healthcare Document AI NLP extraction from records and reports Appointment & Query Automation AI agents for front-desk interactions Medical Knowledge Search RAG search across approved healthcare content Hospital Operations Insights AI detects delays, gaps, and service patterns

AI for Plants and Assets

AI for Plants, Assets & Operations

Machine learning, IoT signals, and agentic monitoring for manufacturing, maintenance, energy, and shopfloor intelligence.

Plant AI Layer

IIoT & IoT Integration AI-ready signals from machines and sensors Predictive Maintenance ML models predict early failure signals MES Intelligence AI visibility into production bottlenecks Shopfloor Monitoring Machine and operator activity intelligence Energy & Asset Insights AI detects abnormal usage and drift Plant Command View AI-assisted operational decision layer

Computer Vision AI

Computer Vision for Real-World Events

Vision AI for workplace safety, surveillance intelligence, restricted zones, movement analysis, and visual evidence workflows.

Vision AI Layer

Intelligent Video Surveillance AI detection over live camera streams Safety Violation Detection Computer vision for PPE and unsafe actions Restricted Area Monitoring AI watches mapped zones and boundaries People & Crowd Analytics Density, movement, and congestion intelligence Vehicle & Gate Intelligence AI-enabled entry and vehicle visibility Event Alerts & Evidence Visual proof for incidents and actions

Workflow and Document AI

Intelligent Workflow & Document Automation

AI agents that classify work, read documents, recommend actions, and move business processes with human control.

Agentic Workflow AI

Workflow Automation AI-guided approvals, tasks, and escalations Intelligent Task Routing AI classifies and assigns business work Document Processing OCR and NLP for document understanding Decision Support Automation AI recommendations for operational decisions Omnichannel Automation AI responses across business channels Exception Management AI detects process delays and SLA risk

Copilots and Knowledge AI

Enterprise Copilots, RAG & Knowledge AI

Enterprise-grade GenAI using approved knowledge, role-aware copilots, document intelligence, and governed AI responses.

RAG & Agents

Enterprise AI Chatbots GenAI support for customers and employees Internal Copilots Role-aware assistants for business teams Knowledge Search / RAG Answers grounded in approved documents Document Summarization LLMs convert long content into insights Business Query Assistant Ask business questions in natural language GenAI Governance Access, audit, and controlled AI behavior

Security Intelligence Layer

AI-Driven Security Operations

AI for threat correlation, anomaly detection, vulnerability prioritization, SOC/NOC assistance, and security response workflows.

AI SecOps

AI Network Security ML detects unusual traffic behavior Threat Correlation AI connects alerts, assets, and users Anomaly Detection Models identify abnormal activity patterns SOC / NOC Intelligence AI support for triage and investigation Vulnerability Intelligence Risk-based AI prioritization of exposure OT / IoT / IIoT Security AI monitoring for connected industrial assets

Forecasting and Decision AI

Forecasting, Risk & Decision Intelligence

Predictive models and GenAI summaries that surface demand signals, risk patterns, operational drift, and decision-ready insights.

Predictive AI

Demand Forecasting ML forecasts volume, demand, and pressure Pattern Discovery AI finds hidden operational trends Risk Prediction Models predict failures and delays Performance Insights AI highlights bottlenecks and gaps Asset Health Insights AI tracks condition and behavior drift Management Decision Views GenAI summaries for leadership action