🤖 Releases – Ask AI Labs Release, Space Blueprint Permissions, Table View Webinar - Recap, and More! (06/02/2025)

Feature Updates

Ask AI: Instant Workspace Insights & Dashboard Q&A 🤖

We’re excited to introduce Ask AI in Wrike Labs! Now you can unlock the knowledge hidden in your Wrike workspace by asking natural language questions and getting instant answers based on your spaces, projects, tasks, documentation, or dashboards.

What’s new:

- AI-Powered Workspace Q&A: Query your workspace and receive direct links to relevant items for faster answers.

- Instant Dashboard Insights: Ask about KPIs like average completion times or delayed tasks—get visual, data-driven responses for reporting.

- Project Summaries & Aggregation: Access project intelligence—current status, key risks, blockers, and summary updates—right from your sidebar.

Check out this Community post for all the details.

Blueprints: Configuration Permissions Now Restricted to Space Admins 🔐

We have introduced an update to enhance the management of Space-level Blueprints, providing greater control and compliance for your workspaces.

What’s new?

- Only space admins can now create, edit, or delete Space Blueprints.

- Non-admin users are restricted from altering your space’s structure, ensuring project designs remain secure and consistent.

Why this matters:

Blueprints define your key work processes. By limiting modification access, you can prevent accidental changes and maintain reliable, compliant templates that align with your organization’s standards.

For more details, take a look at our Community Post and check out our detailed Help Center article.

Community News

Table View: Webinar Recap and Next Steps 📔

We recently hosted a webinar designed to help you maximize the benefits of Table View. If you couldn't attend, no worries! You can watch the webinar recording here and read our blog to discover how Wrike customers have successfully adopted Table View, along with tips and real-world advice.

Be sure to check out our detailed post to learn about the upcoming enhancements for Table View.

Wrike-Up Wednesday: Wrike Tip Jar! 💡✨

This week, we're filling up the Tip Jar with your best productivity and organization tips—whether they’re Wrike hacks or everyday advice. Share your tip and check out what others have shared on our Community Post.

2025 Wrike Elite 100: Nominate Yourself or a Colleague for a Chance to Win! 💯

We’re excited to announce the second year of our annual Wrike Elite 100 awards! This program recognizes the top 100 Wrike users for their outstanding skills and innovative use of our platform.

Want to know how to participate, what prizes are up for grabs, and important dates? Check out all the details in our dedicated post by clicking here! Nominate yourself or a colleague today and you could be one of this year’s Wrike Elite 100!

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Comments

Kelly St Cyr

If you haven’t enabled Ask AI yet, I highly recommend giving it a try! As a Wrike admin for our team, it’s been incredibly useful for tracking project statuses and identifying potential risks. It’s helped me tidy up numerous projects—whether wrapping up completed ones or identifying those still needing attention. If anyone has any effective prompts or tips to share, I’d love to hear them!

Hitesh Karkal

Good start..

Chris Cashon

A few questions regarding ASK AI:

1. Does the feature retain all data within your customer instance?
2. Is a Large Language Model (LLM) used to process requests? If so, is data loaded into a comingled LLM of other customer data for processing?
3. If a dataset or LLM is used, what is the dataset trained on? Does Wrike use prompts, datasets, or results to train any models?
4. Does ASK AI respect user permissions, where information located in other spaces will not appear in the results following a prompt if the user does not have access to that information?

Thank you!

Debbie Brownlie

Loving ASK AI - but I too am concerned about

1. What platform is used?

2. The security of our data - is this sharing our data with an external platform? Or a local instance only?

3. Can people accidently get access to information in spaces they are not permissioned for?

Otherwise - exciting development

Roman Golovin

@Chris Cashon

Hi!

1. Does the feature retain all data within your customer instance?

The feature just queries the subset of data from the project and its subitems. The data is then passed to LLM. The answer is returned back and displayed to user. The result exists during the user session only. After the session is over, it isn't stored.

2. Is a Large Language Model (LLM) used to process requests? If so, is data loaded into a comingled LLM of other customer data for processing?

Yes, LLM is used to process requests. Request is sent to LLM, the answer is received. No data is stored on LLM and LLM provider side as it is declared here. You can read it in more details here: https://www.wrike.com/security/overview/#ai-adoption.

3. If a dataset or LLM is used, what is the dataset trained on? Does Wrike use prompts, datasets, or results to train any models?

LLM is used. There are several versions of general-purpose LLMs are used. No retraining is done on any Wrike customers data.

4. Does ASK AI respect user permissions, where information located in other spaces will not appear in the results following a prompt if the user does not have access to that information?

Yes. The feature retrieves only the data that can be retrieved by user. According to user's permissions.

Roman Golovin

@Debbie Brownlie

Hi!

1. What platform is used?

We use MS Azure platform with OpenAI large language models (several different versions)

2. The security of our data - is this sharing our data with an external platform? Or a local instance only?

The request containing part of the data is passed to the LLM and the answer is returned. No data is stored on LLM and LLM provider side as it is declared here. You can read it in more details here: https://www.wrike.com/security/overview/#ai-adoption.

3. Can people accidently get access to information in spaces they are not permissioned for?

No, people cannot accidently get access to more info than they have permission for. All the data is retrieved using users' permissions.