Data & Intelligence Operations

AIOps for agent-driven automation, and DataOps/BI pipelines for data arriving from CRM, ERP, and ecommerce sources.

Overview

Data & Intelligence Operations is the operations layer for organizations running AI assistants, multi-agent architectures, and LLM-based automation at scale — an increasingly unavoidable layer as AI adoption grows — combined with the BI pipeline tooling needed to process large volumes of data arriving from CRM, ERP, ecommerce, and other sources.

AIOps & Intelligence

Model and pipeline management for AI-driven automation.

Multi-Agent Orchestrator

Coordinate linter, critic, and other specialised agents working together.

Prompt & RAG Registry

Version and manage prompts and retrieval-augmented generation sources.

Token & Cost Tracker

Track LLM token usage and cost across models and workflows.

Deterministic Guardrails

Enforce hard rules and safety constraints on agent behaviour.

AI Audit Logs

Full audit trail of agent decisions, prompts, and outputs.

DataOps & Analytics

Processing and analysing data arriving from CRM, ERP, ecommerce, and other systems.

ETL Job Orchestrator

Schedule and monitor extract-transform-load jobs across sources.

Data Quality Engine

Detect and flag data quality issues before they reach reports.

Database Health Monitor

Monitor database performance, load, and health indicators.

Data Inspector

Inspect raw data records and structures interactively.

Data Lab

Experiment with data transformations and models in a sandbox.

Query Builder

Build ad-hoc analytical queries without writing raw SQL.

Predictive Insights

AI-generated predictive insights across connected data sources.

Cross-Tenant Analytics

Aggregate analytics across multiple tenants for platform-level insight.

Why This Layer Is Increasingly Unavoidable

The AI adoption curve

As organizations deploy more AI assistants and multi-agent workflows, uncontrolled token spend, unauditable agent decisions, and inconsistent prompt versions become operational risks in their own right. Data & Intelligence Operations exists to bring the same operational discipline to AI systems that DevOps brought to software delivery.

Frequently Asked Questions

Do I need this if I only use one AI assistant, not multi-agent workflows?

The AIOps & Intelligence screens still provide value for single-assistant deployments (Token & Cost Tracker, AI Audit Logs), but the Multi-Agent Orchestrator and Deterministic Guardrails become essential once you run multiple coordinated agents.

Which source systems does the ETL Job Orchestrator support?

It is designed to ingest from CRM, ERP, ecommerce platforms, and other connected TotalApp modules — any system already integrated via the platform's data connectors.

Is Cross-Tenant Analytics available to every tenant?

No — Cross-Tenant Analytics is a platform-level capability restricted to authorized administrative roles, since it aggregates data across tenant boundaries.