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Planisware: cost, fit and limits

Planisware is a portfolio and project management software company headquartered in France whose Orchestra product serves PMOs, and whose AI offering includes the Prisma conversational layer and digital agents. It targets large organizations that run complex portfolios, with demos and quotes in place of public pricing.

What to know first

Planisware's site puts AI in the foreground: Prisma connects AI models to live portfolio data, digital agents handle reporting and scheduling, predictive AI models outcomes and an optimization method balances resources and timing. The page does not say which of these ship with Orchestra, and it shows no price, certification or hosting region. For buyers, this is a product to evaluate through a demo with a written scope.

Planisware at a glance

MakerPlanisware SA, France
Free planNo
Entry priceQuote only
API accessYes
CategoryBest AI Project Portfolio Management Software in 2026, rank 9 of 10
Websiteplanisware.com

Who Planisware is best for

PMOs that want AI changes approved first

Prisma is described as supporting cost or schedule updates that require approval, and as governed and auditable, which fits groups with a formal change control board.

Organizations choosing their own AI model

The page calls Prisma model-agnostic, so a company that already licenses a frontier model can look at connecting it to portfolio data.

Portfolio teams with complex resource trade-offs

AI portfolio optimization uses Particle Swarm Optimization to balance resources, timing and constraints across a portfolio, useful when more projects are proposed than people exist.

French and European buyers

Planisware SA is headquartered in Chatillon, France, and its privacy policy lists data processing in France, Germany and Italy among others.

Planisware plans and pricing

PlanPriceWhat it includes
OrchestraNot shown, request a demoTurnkey PPM solution for PMOs, with an ROI calculator on the site and no public price list.
PrismaNot shownConversational layer for natural-language questions, report and deck generation and cost or schedule updates that wait for approval.
Digital AgentsNot shownAgents for reporting, scheduling, running workflows, answering questions and validating project data, with no further detail on controls.
Predictive AI and optimizationNot shownModels likely outcomes, timing and risks, and uses an optimization method to balance resources and constraints across a portfolio.

Checked November 2026.

What Planisware does

Prisma
A conversational layer connecting frontier AI models to live portfolio data. It supports natural-language questions, report and deck generation and cost or schedule updates that wait for approval.
Digital Agents
Agents automate reporting and scheduling, run workflows, answer questions and validate project data. Their permissions and logs were not described on the page we read.
Predictive AI
The page says predictive models estimate likely outcomes, timing and risks. It offers no accuracy figures, so a buyer should test the forecasts against closed projects.
AI portfolio optimization
Particle Swarm Optimization balances resources, timing and constraints across a portfolio, which helps with fixed-capacity trade-offs between competing projects when a PMO cannot fund everything on its list.
Integrations and APIs
The site links an Integrations and APIs section with no detail in the text opened, so the list of connectors and the API scope have to be requested in a demo.

How Planisware handles your data

Planisware's privacy policy lists Planisware SA at 200 avenue de Paris, Chatillon, France, and Planisware USA in San Francisco. It says data processing occurs in France, Germany, Italy, Canada and the United States, and that EEA transfers use customer data processing agreements with standard contractual clauses. Authorized user data is kept for the duration of the customer contract. The policy contains no statement on AI, and the site's description of Prisma as governed and auditable is the only claim opened. Certifications, hosting regions for customer tenants and AI training terms were not checked for this page.

Where Planisware falls short in practice

  • Scope of Orchestra is unclear. The product page does not say which AI capabilities apply to Orchestra, so a buyer cannot tell from the page what is included in the base license without a demo.
  • No verifiable security claims. The pages read gave no certifications or tenant hosting regions, only links to separate cloud and compliance pages that were not opened for this review.
  • No public price or trial. Pricing is through a demo request with an ROI calculator, and no trial is shown, which puts the whole evaluation on the vendor's own schedule and timeline.

Works with

Alternatives to Planisware

Planisware: common questions

What is Planisware Prisma?

Prisma is a conversational layer that connects frontier AI models to live portfolio data. The site says it supports natural-language questions, report and deck generation and cost or schedule updates that require approval, and calls it model-agnostic, governed and auditable. Ask which models and settings apply to your contract.

Does Planisware list prices?

No price appears on the pages we read. The site offers a free demo request and an ROI calculator for Orchestra. As of November 2026, buyers need a quote, so prepare numbers of users, projects and required modules before the first call.

Where is Planisware headquartered?

The privacy policy lists Planisware SA at 200 avenue de Paris, Chatillon, France, and a corporate image caption refers to the headquarters in Paris. A US entity, Planisware USA in San Francisco, is also listed. Customer tenant hosting regions were not stated.

Does Planisware say AI is trained on customer data?

The privacy policy has no statement on AI, and the product page only calls Prisma governed and auditable. The vendor's policy was not checked for this, so ask in writing whether customer data trains any model and which providers process prompts.

What does AI portfolio optimization do in Planisware?

The site says it uses Particle Swarm Optimization to balance resources, timing and constraints across a portfolio. That suggests a ranked set of project combinations under capacity limits. Test it with your own data and compare it with what your PMO would pick manually.

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