Asana has launched AI Studio, a no-code tool for building generative AI agents that can automate work planning tasks. 

The company first unveiled its “AI teammate” plans in June, promising to enable customers to build autonomous agents that can perform tasks independently within the work management app.  

On Tuesday, Asana said that the AI agent builder — renamed Asana AI Studio — is now out of beta and available to customers on its Enterprise and Enterprise+ plans in “early access.” There are two options for accessing AI Studio at this stage: a free plan with daily limits on usage, and a paid add-on. (Asana declined to provide specifics on pricing.)

Customers trialing AI Studio during the beta noted several advantages when deploying AI agents, said Paige Costello, head of AI at Asana. “The key benefits we’re seeing are the speed of decision-making and the overall acceleration of work and reduction in administrative and busy work,” she said.

“There is tremendous potential in AI-based agents to expedite workflow,” said Wayne Kurtzman, research vice president covering social, communities and collaboration at IDC. “The ability to deploy agents in the stream of work, where teams work, and without code becomes a powerful proposition.”  

With the launch, Asana also announced additional features for AI Studio. These include a wider variety of potential AI agent actions, more control over smart workflow capabilities such as data access and costs, and an increase in the amount of context the AI agent can reference in its decision-making. 

Users can also view a record of an AI agent’s actions and decisions. “You can actually dig into work that has happened and understand why the custom agent that you’ve built made a specific choice and undo the selection that it’s done,” said Costello. 

Users can choose from four language models to power AI agents: Anthropic’s Claude 3.5 Sonnet and Claude 3 Haiku, and OpenAI’s GPT-4o and GPT-4o mini. 

With AI agents able to complete tasks autonomously, the propensity for language models to “hallucinate” and provide inaccurate outputs could be a concern for businesses.  Costello said there are safeguards in place to help reduce the likelihood of AI agents generating and acting on incorrect information, and argued those designing the AI- workflows are “in the driver’s seat.” 

For example, a user can require an AI agent to seek human approval before carrying out actions deemed higher risk, such as sending an external email to a customer. “People are the decision makers –– they’re the ones ultimately accountable for work,” said Costello.

Adoption of AI agents is at an early stage for most organizations, but it’s accelerating, said Margo Visitacion, vice president and principal analyst at Forrester, covering application development and delivery. Successful deployments will require “experimentation, failing fast, and learning from those experiments,” she said.

“It takes the right level of oversight, focus on the problems you’re solving, and gathering feedback to ensure you’re using the right model that suits your needs,” said Visitacion.

Artificial Intelligence continues to dominate this week’s Gartner IT Symposium/Xpo, as well as the research firm’s annual predictions list. 

“It is clear that no matter where we go, we cannot avoid the impact of AI,” Daryl Plummer, distinguished vice president  analyst, chief of research and Gartner Fellow told attendees. “AI is evolving as human use of AI evolves. Before we reach the point where humans can no longer keep up, we must embrace how much better AI can make us.”

Continue reading on Network World for Gartner’s top predictions for 2025.

To make generative AI tools (genAI) work as well as possible, tech companies have chosen to train their large language models (LLMs) on large amounts of text, even though doing so could run afoul of copyright laws.

Most recently, book publisher Penguin Random House has chosen to include a warning in its books stating the content may not be used or reproduced for the purpose of training AI models. And, according to The Bookseller, the AI warning will not only be added to new books but also to reprints of older titles.

The move is likely to spur more publishers to follow suit with similar warnings to their books.

Microsoft will soon let customers build autonomous AI agents that can be configured to perform complex tasks with little or no input from humans.

Microsoft on Monday announced that tools to build AI agents in Copilot Studio will be available in a public beta that begins at the company’s Ignite conference on Nov. 19, with pre-built agents rolling out to Dynamics 365 apps in the coming month,s too.

Microsoft first unveiled plans to let users create AI agents in Copilot Studio — its low- or no-code AI development platform — in May with a private preview for select customers. 

Generative AI (genAI) agents can be seen as the next stage in the evolution of conversational AI assistants such as Microsoft’s Copilot and OpenAI’s ChatGPT. While AI assistants respond directly to a user’s instructions — such as drafting an email or summarizing a document — autonomous AI agents are triggered by events and can perform more complex, multi-step processes on their own.  

For example, a business could configure an AI agent to respond to the arrival of a customer email. At this point, the AI agent can look up the sender’s account details, check for past communications, and then take a range of actions — such as checking inventory 0r asking the customer for preferences — on its own. 

There are a wide range of potential use cases, according to Microsoft, with the ability to tailor AI agents to a variety of tasks, from employee onboarding to supply chain automation.

“We think of agents as the new apps for an AI-powered world,” said Bryan Goode, corporate vice president for business Applications at Microsoft.   

AI agents can be created via a no-code graphical interface in Copilot Studio, meaning no software development is required, according to Microsoft. Agents can then be published and accessed in variety of places: from Microsoft’s Copilot AI assistant, on a website, or within an app.

Goode sees a broad appeal for workers outside of developers and IT: “We think everyone will need to be able to create agents in the future, much like how everyone can create spreadsheets or presentations in Microsoft 365,” he said. 

“Agents really represent the democratization of AI for many enterprise users who have specific tasks they want to accomplish, but have no desire to become AI experts,” said Jack Gold, principal analyst with business consultancy J. Gold Associates.

Microsoft has taken steps to mitigate the impact of “hallucinations” –—a problem that’s exacerbated when AI agents can act independently and are given access to business applications. 

For example, agents created for Dynamics will require human approval before carrying out certain actions, said Goode, such as preparing outbound communications. A viewable record of actions taken by an AI agent and why it took a decision is also kept in Copilot Studio.

More generally, Goode pointed to improvements to Microsoft’s Azure Content Safety system, which helps “measure, detect and mitigate hallucinations” more effectively, he said.

Nevertheless, hallucinations will continue to be a consideration for businesses that deploy AI agents, said Rowan Curran, senior analyst at Forrester. 

“Buyers are rightly excited about the potential of agentic AI systems, but the reality of implementation is going to be just as challenging, if not more so, than the current generation of advanced RAG [retrieval-augmented generation] systems,” Curran said. “Having a strong data foundation will be essential for building useful AI agents: data quality and management aren’t problems that can be swept under the rug.”

Microsoft is developing 10 pre-configured AI agents for its Dynamics 365 business application suite. These include a “sales qualification agent” for Dynamics 365 Sales, a “sales order agent” for Dynamics 365 Business Central, and a “case management agent” Dynamics 365 Customer Service. The AI agents for Dynamics 365 will be available “over the coming months,” a Microsoft spokesperson said, with pricing and licensing details to be announced closer to the general availability launch.  

Microsoft is not alone in building AI agents into its products: a broad swath of vendors is doing the same, from business software vendors such as Salesforce, which unveiled its Agentforce platform last month, to SAP and ServiceNow, as well as digital work app vendors such as Atlassian and Asana.

“In the next couple of years, you’ll see virtually all enterprise solutions providers deploy agents into their apps,” said Gold. 

Download the PDF Computerworld Cheat Sheet today.

Deepak Jain, CEO of a Maryland-based IT services firm, has been indicted for fraud and making false statements after allegedly falsifying a Tier 4 data center certification to secure a $10.7 million contract with the US Securities and Exchange Commission (SEC).

The charges, filed by the US Department of Justice (DOJ) and made public on Wednesday, claim that Jain and his co-conspirators deceived the SEC by creating a fictitious certifier, “Uptime Council,” to falsely verify his firm’s data center as meeting the highest reliability standards.

Continue reading on Network World.