Slack gets smarter: New AI tools summarize chats, explain jargon, and automate work

Delay Daily tasks and transform the messaging platform to a central center for the productivity of enterprises, and distribute a large number of features of artificial intellectual features that contain direct calls to the employer’s workplace.

Ads spread over the coming months include the direct Slack’s canvas, detection of contextual message explanations, identification of automated activities and covering multiple-related business applications. Comes as actions Righteousness at the same time Limits external AI companies SLACK from accessing information, creating a walled garden approach to the expanding industry until the platform consolidation.

“Unlike some AI instruments sitting on the edge of the workflow, Slack’s AI shows where the case is taking place – between conversations, decisions and documents,” he said. “The key is a distinguishing, built-in and unstructured information in the slack.”

Competition to highlight timing marks $ 45 billion Microsoft Teams Platform and its Copilot Assistant Enterprise Cooperation Market has won an important traction against leaps since Salesforce Getting $ 27.7 billion Messaging service in 2021. Google also pushes it Duet ai Among the applications in the field of work, creating a three-way combat for corporate clients, increasingly focused on productivity benefits.

How does the contextual AI work work in SLACH

The new opportunities of Slack are away from traditional AI aid models that require users to actively use it to help. Instead, the platform will actively surface the relevant information and will automate the operating mode in existing workflows.

AI Writing Aid, soon began soon Slack’s canvas featuresThe teams will automatically launch project briefings, brainstorming sessions, brainstorming sessions and allow streorratical meeting records to automatically create streorrated updates. When the Slack is combined with an existing AI-powered meeting transcriptie, the feature creates a recent documentation workflow.

“EU should feel easy and seamless and didn’t need to work hard to use,” said Agarwal Venturebeat. “Since the release of the EU, customers summarized more than 600 million messages by saving the collective 1.1 million hours between users.”

Perhaps more interesting, Slack will present contextual message explanations that activate when users act in unfamiliar terms, abbreviations or project references. Feature, the organization draws from the history of unique vocabulary and conversation, potentially in the woods and the history of the conversation stored in the plank and the team.

“Never, ever hit a message that didn’t know a mistake or a little jargon? The moment of confusion, searching or asking, he slowed down everything,” he said.

Enterprise search becomes a new battlefield for jobs

The central part of Slack’s AI strategy is now available, which allows you to request information among applications related to users Righteousness, Microsoft teams, Google Drive, Numbnessand Boxing from an interface in the slack.

Skills touch the drain of a resistant productivity in modern workplace employees 41% of their time in repetitive positions approximate According to Slack’s research, as searching for information among non-connection systems. By placing Delay As a single search interface for enterprise information, Righteousness The main work area for knowledge workers is a brave game to become a center.

Slack, Slack, rather, places itself as a universal translator for information about the place of work. The approach acknowledges a tough reality: Most organizations have accepted their information will be scattered in practice, but they need a better way to find and use information.

For dog departments, prayers promise the complexity of minimal placement. “In general, it should be a light elevator for him,” Agarwal said. “Links will be out of the box because they exist. The results will be immediately available after the approval of an application and users.”

Why SaleSforce blocks AI from accessing your opponents Slack data

Like Delay Openses search opportunities for customer-related applications Righteousness The Slack of foreign AI companies aggressively limited how the data obtained. In May, the company made the API service conditions to prohibit the export of collecting bulk data and to prohibit large language models.

The action affects third party AI search companies Talk nonsensewhich is indexed Delay Conversations related to other enterprise information sources to ensure unified search experiences. Under new restrictions, such companies can access the Slack data via real-time search applications with only significant restrictions.

Salesforce is calculated gambling. By Limit access to slack dataThe company bets that its AI will be superior to foreign alternatives. However, the enterprise had preferred clotting to the forced seller, choosing their clients consistently selected and obligatory. Competitive AI platforms provide better results using information from other sources, the risks of sellers aimed at alternative messaging platforms that offer customers more open integration.

Restrictions How the spoken information of valuable workplace was. Slack has more than 5 billion messages weekly, the platform is what Aqarval’s “all data within your company’s history and projects”.

This spoken data offers a unique thing in the enterprise program landscape: unstructured, actually working on how to do the institution of official documents on how it will be, the context.

Enterprise Safety Concerns Features AI Trust and Compatibility

Salesforce built the EU abilities around callers “Einstein Trust layer“To emphasize that customer information has never left company infrastructure or foreign AI models. The approach is due to the sovereignty of AI’s acceptance in regulated industries.

“Protecting the information of our customers is slowly prioritized,” he said. “Customer information remains at home, Slack does not share client data with LLM providers and does not use customer information to exercise LLMS.”

The platform is under the existing enterprise-level safety control of the Slack, including the EU and the support of the EU Fedramp compatibilityEncryption Basic Management and International Information Residency requirements. Search results automatically prevent the exposure of existing user permissions unauthorized data.

Early customer results show productivity gain that can be measured from AI features

Early customer results, although the sample size is limited, indicates meaningful productivity earnings. Salesforce’s internal engineering group is working with more than 18,000 conversations between the AI agent and 3,500 users in six months, saving the equivalent of eight full-time employees every year, it is able to potentially work every year.

Other customers report similar sizes. Admonition 73% of restaurant web queries In just three weeks, using Salesforce’s agentforce AI, the payment processor engine decreased by 15% of the average and $ 2 million projects in terms of annual expenses.

These early results, and promising, should be considered with appropriate skepticism. Productivity measurements in the enterprise program often generate only the most successful applications. Mainstream Enterprise, which is a real test of Slack’s AI capabilities, more complex, less standardized workflow, will be accepted as an adoptive scales outside the early adopts.

Slack’s AI strategy is compared to Microsoft Copilot and Google Worksace

Announcements position is more directly against A comprehensive AI strategy of MicrosoftOffice 365 Includes Copilot Integration along Suite and Teams Platform. Microsoft’s approach, the company’s approach to the company, the company’s approach, an important enterprise, which states that they have gained productivity in the customer base of adoption.

However, Slack’s Talk-First Approach can offer unofficial communication advantages of decision-making organizations. “SLACK’s spoken interface and rich context makes it a very natural home for AI agents,” Agarwal said.

The company also expands new price strategies, including important government discounts reflecting Google’s competitive tactics. In May, Salesforce has announced a 90% discount for federal agencies in Novemberto replace the shared agency-agency talks.

The future of Mukhtar AI agents at work

Agarwal’s vision extends to the autonomous AI agents that can carry out complex work flows in a large number of systems. “Our vision for the Agentic Business Operating System is that everyone can bring systems connected to a place, customer information, team cooperation and wistful work,” he said.

The company has recently been put into operation Agency in SlackThe CRM brings out the task-specific digital teammates that can update records, can be able to write in channels and help employee employees. Early results show the sales team of the sales team that saves 66,000 hours each year with AI assistance with sales concepts and executive briefings.

Since the AI capabilities are distributed to the table for the enterprise, Slack’s success may depend on more execution than innovation. The power of the platform is in the De Facto Standard, which provides the context of processing in the context of the processing in the context of a negligence that makes AI answers more relevant and effectively.

This contextual advantage remains an open question whether Microsoft is sustainable against the integrated ecosystem and Google’s search experience. However, now, the seller’s force manages the future of the future in conversations and everyone controls the Negotiation.

Will include new AI features All Paid Slack Planswith advanced capabilities protected for a higher level subscription. Enterprise + customers will receive a full AI experience, including an enterprise search for large-scale placement and management controls.

Evaluating AI Cooperation Tools for decision makers, Slack’s approach offers an attractive alternative to Microsoft Suite-wide integration strategy. The question is that the contextual of the context of negotiations cannot compete with the wider productivity promised by AI assistants specified within the entire program ecosystems.