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AI included from PRO, no add-on seat price

AI project management
with built-in Gantt

One platform. Critical-path Gantt, native .mpp import, twelve-stage governance, and Claude + Azure OpenAI bundled into the seat price, not a paid add-on.

The portfolio dashboard: the AI Project Assistant, governance rollup, and live portfolio health at a glance.

Six AI capabilities, every paid plan

Specific, scoped, and tied to plan tiers. No "AI everywhere" hand-waving.

The conversational surface behind the tool catalog: ask for a status read, get a grounded analysis and an action the assistant can execute.

Project plan generation

Describe a project in one sentence; Claude or Azure OpenAI generates phases, tasks with estimates, dependencies, milestones, and a starter risk register. Edit before saving.

Plan generation outputs structured JSON via the dual-provider tool catalog; tolerant parser handles markdown fences and prose preamble. Atomic transaction creates the project graph in one commit.
aiCore (PRO+)

AI risk detection

Continuous risk overlay on every project. Detects schedule slippage, dependency cycles, resource over-allocation, and budget burn-rate anomalies, and ranks them.

Risks are persisted as AISuggestion rows with accept/dismiss tracking. Re-runs on task or dependency change so suggestions stay current.
aiAdvanced (BUSINESS+)

Natural-language task parsing

Type a sentence; Onplana extracts task titles, dates, assignees, and dependencies. Useful when promoting a meeting transcript or email into a real backlog.

Same parser feeds intake-form auto-conversion and the AI Project Kickstart onboarding flow. Backed by JSON-mode schemas in tasks/parse.
aiCore (PRO+)

Portfolio insights & status summaries

Roll up RAG status across a portfolio with an AI-generated "what changed this week" narrative. Drafts executive status summaries that you edit, not regenerate from scratch.

Portfolio summary endpoint streams via SSE; status summaries cite specific tasks/risks so reviewers can verify. RAG ratings are deterministic; the narrative is the AI layer.
aiAdvanced (BUSINESS+)

AI tool catalog (function calling)

Conversational chat that can actually create tasks, assign owners, generate reports, or convert intake submissions into projects. Every tool call is audited and idempotent.

Typed tool registry across both providers. AiOperation rows track conversationId, idempotencyKey, status, input/output, and previewId so destructive operations have an undo path.
aiCore (PRO+)

Migration intake → AI project

Drop in a Project Online intake form or a meeting transcript; AI generates a populated project (4-12 phases, 14-50 tasks, 2-5 milestones, 2-4 risks) with assignee suggestions where email matches existing org members.

Endpoint POST /api/projects/from-intake runs an atomic transaction that mirrors instantiateSystemTemplate, project + epic + tasks/subtasks + risks in one commit. Provenance preserved on the project.
aiCore (PRO+)

Gantt charts that AI can actually reason about

Most "AI Gantt" tools generate a chart and stop. Onplana's Gantt is connected to risk detection, baselines, and dependency-cycle guards, the AI layer keeps adding value after the schedule is built.

Critical path highlighted automatically

No manual flagging, the longest dependency chain (and any tied chains) is computed and highlighted across the Gantt. Re-computes on every task or dependency change.

Baselines as Gantt shadows

Save a baseline at any point; the Gantt overlays planned (faded shadow) vs actual (solid bar) so slippage is visible at a glance. Multiple baselines per project.

AI risk overlay on the timeline

Risk-detection suggestions surface as orange chips on the affected tasks in the Gantt. Click to see why the AI flagged it, dismiss false positives, or accept and create a mitigation task.

Four dependency types with lag/lead

FS, SS, FF, SF, all preserved on .mpp import. Lag and lead in days, hours, or percentage. Onplana detects and refuses circular dependencies before save (BFS guard with 500-node ceiling).

Imports .mpp natively, not via XML conversion

Direct binary parse via MPXJ. Project name/dates, task tree, dependencies (with lag), milestones, ECFs, baselines, calendars, all preserved in a single upload.

Two AI providers, one managed engine

Onplana ships with Claude (Anthropic) AND Azure OpenAI, and operates both: Onplana decides which provider serves each request and fails over automatically when one is degraded. A tier abstraction (fast / balanced / powerful) maps each request to a concrete model on the serving provider.

Claude (Anthropic)

Strong on long-context reasoning, status summaries, plan generation. Default for chat workloads.

Azure OpenAI

Strong on structured-JSON outputs, function-call latency. Default for tool-catalog workloads. Three tier slots (fast / balanced / powerful) managed by Onplana.

Provider credentials live in Onplana’s Azure Key Vault and are rotated out-of-band. No customer data is used to train external models.

AI is in the seat price, not on top of it

ClickUp Brain, Asana AI Studio, Monday AI, Wrike AI, all bill as separate per-seat add-ons. Microsoft 365 Copilot is roughly $30/seat/mo on top of an M365 base. Onplana's AI features come with a one-time per-seat AI token bonus on every plan, no mandatory recurring AI surcharge. Top up with prepaid AI credit only if you need more; purchased credit expires 90 days after purchase.

Building agentic apps on top of Onplana? See the MCP server docs or the engineering deep-dive on how we built it, 250+ typed tools, hybrid search, PAT-scoped auth, audit-grade dispatch.

For the full overview of every AI surface across Onplana (plan generation, risk detection, status narrative, resource leveling, MCP server, plan-tier matrix, honest limits), see the AI pillar page.

Frequently asked questions

Is AI included in every plan, or is it a paid add-on?
Core AI features (chat, plan generation, NL parsing, status summaries) are included from the PRO plan upward. Advanced AI features (risk detection, portfolio insights) are included from BUSINESS upward. There is no separate AI seat charge: every plan comes with a one-time per-seat AI token bonus (a complimentary welcome bonus, not a monthly-renewing allowance). Once the bonus is spent, you purchase prepaid AI credit (purchased credit expires 90 days after purchase) or upgrade for a larger bonus.
Which AI provider does Onplana use, Claude or Azure OpenAI?
Both. Onplana operates both at the platform level, Claude (Anthropic) and Azure OpenAI, with one serving as primary and the other as automatic failover. Onplana routes specific workloads (e.g. risk detection) to the model that fits best on each provider. There is no customer-facing provider control: every plan gets the same Onplana-managed dual-provider engine.
How does Onplana compare to ClickUp Brain or Asana AI Studio?
ClickUp Brain and Asana AI Studio bill AI as a separate per-seat add-on (typically $5-10/seat/mo on top of the base seat price). Onplana includes a one-time per-seat AI token bonus with the plan and then sells prepaid AI credit only if you need more (purchased credit expires 90 days after purchase), no mandatory recurring AI surcharge. The functional capabilities overlap; the billing model is the main differentiator.
Does the AI integrate with the Gantt chart?
Yes. AI risk detection surfaces as overlays on the timeline. Plan generation produces tasks with dates and dependencies that render directly on the Gantt. AI-suggested mitigations (when accepted) become real tasks in the schedule.
Can I use Onplana AI with a self-hosted deployment?
Yes, on the ENTERPRISE_PLUS tier. AI provider credentials live in your own Azure Key Vault; provider routing is configured at deploy time. Customer-managed encryption keys (CMK) are also available on this tier.
How does Onplana compare to dedicated AI-Gantt tools (Ingantt, GanttChart.ai, Gantter.ai)?
AI-Gantt tools focus on generating schedules from a prompt. Onplana does that, but also runs the rest of a PMO platform: portfolio rollups, governance gates, resource pool, change control, audit logs, native .mpp import, custom fields. If you only need a one-shot Gantt generator, the dedicated tools are fine. If you need to actually run projects through a PMO surface, the platform context matters.

Run AI on your real schedule

Free plan, no credit card. Generate a starter project from a one-line description, or import a real .mpp and let risk detection run.