AI schedule generation (Studio)
Level 1 and deeper breakdowns, AI iterate-and-refine, dependencies, calendars, and Gantt-backed critical path—not a static screenshot of a plan.
Product
Signal-driven scheduling, built for execution
Gantivity is designed to give every stakeholder a shared program—and to generate clear signals when work is stuck, slow, or at risk. It’s not just planning software. It’s an execution system.
Core capabilities
What Gantivity enables
From AI-assisted scheduling in Studio to field tracking, issues, and in-channel assistance—one product thread from plan to daily execution.
Execution signals
Visibility into what needs attention—behind, blocked, or on track—so teams respond to reality, not last week’s slide deck.
ZAI in chat & collaboration
In-channel assistant: list tasks, summaries, what’s due, tasks with issues, escalation help, and more—without leaving the conversation.
Daily progress & tracking
Daily Progress workflow: notes, % progress, time, history, and raise-issue from the work face—tied back to the schedule.
Issues & automated escalations
Issues register with priority and severity; critical notifications; configurable auto-escalation when requests sit unanswered too long.
AI reports from the schedule
Generate status, risk, weekly-style digests, and schedule-variance narratives from live data—optional cache and offline fallback.
Project controls messaging (PCM)
Project-aware AI chat with structured actions plus update streams for reminders and nudges aligned to tasks and pending work.
Dashboards & inbox
Control-tower style visibility plus a multi-project inbox with filters—including escalations—so nothing important hides in chat noise.
Roadmap
What’s available now vs what’s coming
We build with design partners; capabilities evolve with real-world execution requirements.
Now (shipping)
- Studio: AI planning chat, WBS levels, dependency & calendar-aware schedule, Gantt & Kanban views
- Execution signals surfacing schedule/field health (on track vs needs attention)
- Messages & channels with ZAI: tasks, summaries, due-this-week, tasks-with-issues, escalation help
- Daily Progress (DPR): per-task updates, notes, progress %, history, raise issue from the field
- Issues hub: priority, severity, filters; critical-issue notifications
- Auto-escalation for overdue unanswered requests (configurable levels & logging)
- AI reports from schedule snapshots (status, risk, digest, variance, custom prompts)
- PCM: project-aware assistant chat + structured updates / nudges for assignees
- Dashboards & multi-project inbox (e.g. escalations, assignments, mentions)
Next
- Richer, industry-tuned signal rules and thresholds out of the box
- Deeper network-aware issue routing (“who gets nudged first” from the CPM graph)
- Broader scenario / what-if and delay storytelling in product UI
- More ZAI intents, enterprise RBAC polish, and analytics on response times
Later
- Portfolio-level learning and prediction from historical programmes
- Enterprise integrations, SSO, and advanced data residency controls
- Workflow automation for approvals, handovers, and client reporting packs
- Industry benchmarks and reusable playbooks