MagiAI
Describe what you need: MagiAI reads your data, applies your rules, and generates dashboards, workflows, and operational agents.
Conversational operations
Turn a natural-language request into an operational artefact: dashboard, workflow, agent, or data action. All on your sources, under your rules.
How it works
MagiAI understands business context — data, rules, systems — and routes each request to the right outcome: insight, dashboard, workflow, or approved action.
Find delays from the last 30 days, group by area, and start the review flow.
What makes it different
MagiAI works inside operational context: applies rules, supports decisions, and triggers workflows with traceability.
Reads operational data, KPIs, records, and connected sources to answer in context.
Applies thresholds, logic, constraints, and business definitions before acting.
Triggers processes, approvals, notifications, and updates inside the platform.
Works with permissions, human review, and traceability on every relevant action.
From prompt to real action
MagiAI does more than answer: it builds dashboards, starts workflows, and drives data actions under your rules.
01
Ask for a view, a KPI, or a performance analysis and receive a dashboard built on connected company data.
02
Start operational flows, route approvals, and coordinate actions across systems and teams.
03
Explore, structure, filter, and act on operational data through AI-assisted interactions, with governed access.
AI with control
Every AI-driven action passes through human review and audit, so AI supports operations without removing governance from critical decisions.
Suggested escalation for 3 records above threshold.
Approved 2 of 3 records, rejected 1 with note.
Notification sent to ops@ with links to approved records.
Audit entry recorded with actors, timestamps, and payload.
See MagiAI on a real use case from your business.