Content Glossary
Access Control
Agent Memory
Agentic AI
Agentic Workflow
AI Agent
AI Debt
Audit Trail
Autonomous Agent
BFSI
BYOM (Bring Your Own Model)
Consent Management
Context Assembly
Context Clash
Context Engineering
Context Layer
Context Management
Context Poisoning
Context Rot
Context Window
Copilot
Data Governance
Data Lineage
Data Normalization
DCPV (Digital Contact Point Verification)
Decision Trace
Document Governance
GraphRAG
GRC (Governance, Risk, and Compliance)
Guardrails
Hallucination
HRIS (Human Resource Information System)
Human-on-the-Loop
Idempotency
Knowledge Graph
KYC (Know Your Customer)
Middleware
Model Context Protocol (MCP)
Multi-Agent System
NBFC (Non-Banking Financial Company)
OAuth / Token-Based Authentication
Orchestration Layer
Payroll Reconciliation
PII (Personally Identifiable Information)
Policy Management Platform
Prompt Engineering
Provenance
RAG (Retrieval-Augmented Generation)
Rate Limiting
Risk Scoring
SaaS (Software as a Service)
SDK (Software Development Kit)
Semantic Layer
Statutory Compliance
Tool Calling / Function Calling
Unified API
Webhook
Access Control
Rules and mechanisms that determine who can view, edit, or act on specific data or systems.
Agent Memory
The mechanism by which an AI agent retains information across interactions, split into episodic (past events), semantic (general facts), and procedural (how to do tasks) memory.
Agentic AI
AI systems designed to plan, act, and adapt autonomously across multi-step workflows, rather than responding to a single prompt at a time.
Agentic Workflow
A sequence of tasks carried out by one or more AI agents with minimal manual handoffs, often spanning data retrieval, decision-making, and execution.
AI Agent
A software system that can perceive information, make decisions, and take actions toward a goal with limited or no human intervention at each step.
AI Debt
Accumulated technical and semantic shortcuts taken while building AI systems, which compound over time and eventually slow or break AI initiatives.
Audit Trail
A chronological, timestamped record of actions taken within a system, used to verify compliance and investigate discrepancies.
Autonomous Agent
An agent that executes tasks end-to-end based on a defined goal, without requiring approval at every step.
BFSI
Banking, Financial Services, and Insurance, a common industry classification in the Indian fintech market.
BYOM (Bring Your Own Model)
An architecture that lets enterprises plug their own AI models into a vendor’s infrastructure rather than being locked into a single provider’s model.
Consent Management
The system and process for capturing, storing, and honoring an individual’s permissions for how their data is used.
Context Assembly
Dynamically building the right context for a specific AI request in real time, rather than relying on a static prompt.
Context Clash
A situation where multiple sources feeding an AI’s context window contain conflicting information at the same time, forcing the model to resolve the discrepancy on its own.
Context Engineering
The discipline of designing what information an AI model sees at the moment it generates a response, including data, instructions, and tools.
Context Layer
The architectural layer that gathers, structures, and delivers relevant business context (data, policies, history) to AI models and agents so they can act accurately.
Context Management
The ongoing practice of keeping an AI model’s context window current and relevant through summarizing, trimming, reordering, or offloading information.
Context Poisoning
When incorrect, outdated, or manipulated data enters an AI system’s context and gets treated as fact, corrupting outputs.
Context Rot
The gradual decline in an AI model’s response quality as its context window fills with irrelevant or outdated information.
Context Window
The maximum amount of information an AI model can process at once, effectively its working memory for a given task.
Copilot
An AI assistant that works alongside a human, offering suggestions or completing sub-tasks, but leaving final decisions and actions to the person.
Data Governance
The overall management of data availability, usability, integrity, and security across an organization.
Data Lineage
A traceable record of where a piece of data originated, how it moved, and what transformations it underwent, important for audit and compliance.
Data Normalization
The process of converting data from varied source formats into a single standard structure, essential when unifying multiple HRMS or payroll sources.
DCPV (Digital Contact Point Verification)
A verification process confirming that a contact point (phone, email, address) genuinely belongs to and is reachable by the claimed individual.
Decision Trace
A recorded, auditable log of the reasoning steps and data an AI agent used to arrive at a decision or action.
Document Governance
The set of policies and controls governing how documents are created, stored, accessed, versioned, and retired within an organization.
GraphRAG
A version of RAG that retrieves relationships between facts using a knowledge graph, not just similar text snippets.
GRC (Governance, Risk, and Compliance)
A framework that aligns an organization’s governance structure, risk management, and regulatory compliance efforts.
Guardrails
Predefined rules and constraints that limit what actions an AI agent is permitted to take, reducing risk of error or misuse.
Hallucination
When an AI model generates information that sounds plausible but is factually incorrect or unsupported by real data.
HRIS (Human Resource Information System)
Often used interchangeably with HRMS; a system of record for employee data and HR processes.
Human-on-the-Loop
A workflow design where a human sets the goal upfront, the agent acts independently, and the human monitors outcomes rather than approving each step.
Idempotency
A property where making the same API call multiple times produces the same result as making it once, critical for safe retries in payroll and payment flows.
Knowledge Graph
A structured map of entities (people, policies, transactions) and the relationships between them, used to help AI systems reason across connected data.
KYC (Know Your Customer)
The process of verifying the identity of a customer or employee before onboarding, typically required for regulatory compliance.
Middleware
Software that connects and mediates between different applications or services, often handling data transformation and routing.
Model Context Protocol (MCP)
An open standard that lets AI models connect to external tools, data sources, and applications in a consistent way.
Multi-Agent System
An architecture where several specialized AI agents collaborate, each handling a distinct part of a larger task or workflow.
NBFC (Non-Banking Financial Company)
A financial institution that offers banking-like services (loans, credit) without holding a full banking license.
OAuth / Token-Based Authentication
A security standard that lets systems authorize API access using tokens instead of sharing passwords directly.
Orchestration Layer
The system that coordinates multiple agents, tools, and data sources to complete a complex, multi-step workflow.
Payroll Reconciliation
The process of verifying that payroll disbursements match approved calculations and accounting records.
PII (Personally Identifiable Information)
Any data that can be used to identify a specific individual, subject to strict handling and storage regulations.
Policy Management Platform
Software that centralizes the creation, approval, distribution, and tracking of organizational policies.
Prompt Engineering
The practice of crafting inputs and instructions to get more accurate or useful outputs from an AI model.
Provenance
The documented history of where data came from and what decisions or actions were taken on it, supporting trust and traceability in AI-driven workflows.
RAG (Retrieval-Augmented Generation)
An AI technique where a model retrieves relevant documents or data before generating a response, rather than relying only on what it was trained on.
Rate Limiting
A control that caps how many API requests a client can make in a given time window, protecting system stability.
Risk Scoring
A calculated measure of the likelihood that an individual, transaction, or entity poses a compliance or fraud risk.
SaaS (Software as a Service)
A software delivery model where applications are hosted centrally and accessed by customers over the internet, typically via subscription.
SDK (Software Development Kit)
A packaged set of tools, libraries, and documentation that helps developers integrate with an API faster.
Semantic Layer
A business-friendly layer that translates raw technical data into consistent definitions and metrics that both humans and AI systems can query.
Statutory Compliance
Legal requirements a company must meet related to employee pay, such as PF, ESI, professional tax, and TDS in India.
Tool Calling / Function Calling
The mechanism by which an AI agent invokes external tools, APIs, or functions to complete a task rather than just generating text.
Unified API
A single API layer that normalizes data from multiple underlying systems (e.g., different HRMS or payroll platforms) into one consistent schema.
Webhook
An automated, event-triggered HTTP callback that pushes data to another system the moment something happens, rather than waiting to be polled.
