Heigin’s AI roadmap focuses on operational usefulness first: a copilot that understands context, strong search and summaries, explainable reasoning, and automation that can act on business signals.
The AI layer is designed around explainability and operational context so teams can trust what it suggests.
AI in operational workflows
AI is planned to sit inside module workflows so teams can act without context switching.

Core capabilities
9 priority features
Approach
Context-first
Goal
Useful AI inside workflows
Representative product views from the Heigin workspace.
AI in operational workflows
AI is planned to sit inside module workflows so teams can act without context switching.

Summaries and insights
Distill reports and dashboards into short, useful explanations for faster decision-making.

Heigin brings copilot, search, summaries, scoring, drafting, automation, and anomaly detection directly into operational workflows.
A single AI assistant that stays available across the product and helps users ask, act, and analyse in plain language.
Heigin understands the current page, record, and workflow so answers stay grounded in the task at hand.
Natural-language search surfaces the right records, recommendations, and next actions faster than manual filtering.
Scores and recommendations include reasons and signals so teams can trust and review them.
Large reports, dashboards, and record histories are condensed into short, useful briefings.
Generate updates, internal notes, replies, and structured communications without starting from a blank page.
Trigger assignments, approvals, alerts, and follow-ups automatically when operational signals change.
Create consistent business documents from live ERP data instead of copying values between systems.
Spot unusual patterns in finance, attendance, or operations before they become larger problems.
Get started
Explore how copilot, search, summaries, drafting, and automation fit into the way your teams already work.