As 50,000 attendees descend on Salesforce's Dreamforce convention this week, the enterprise software program big is making its most aggressive wager but on synthetic intelligence brokers, positioning itself because the antidote to what it calls an industry-wide "pilot purgatory" the place 95% of enterprise AI tasks by no means attain manufacturing.
The corporate on Monday launched Agentforce 360, a sweeping reimagination of its complete product portfolio designed to rework companies into what it calls "agentic enterprises" — organizations the place AI brokers work alongside people to deal with as much as 40% of labor throughout gross sales, service, advertising, and operations.
"We’re actually within the agentic AI period, and I believe it's most likely the largest revolution, the largest transition in know-how I've ever skilled in my profession," mentioned Parker Harris, Salesforce's co-founder and chief know-how officer, throughout a latest press briefing. "Sooner or later, 40% of the work within the Fortune 1000 might be going to be performed by AI, and it's going to be people and AI really working collectively."
The announcement comes at a pivotal second for Salesforce, which has deployed greater than 12,000 AI agent implementations over the previous 12 months whereas constructing what Harris referred to as a "$7 billion enterprise" round its AI platform. But the launch additionally arrives amid uncommon turbulence, as CEO Marc Benioff faces fierce backlash for latest feedback supporting President Trump and suggesting Nationwide Guard troops ought to patrol San Francisco streets.
Why 95% of enterprise AI tasks by no means launch
The stakes are monumental. Whereas corporations have rushed to experiment with AI following ChatGPT's emergence two years in the past, most enterprise deployments have stalled earlier than reaching manufacturing, in response to latest MIT analysis that Salesforce executives cited extensively.
"Prospects have invested rather a lot in AI, however they're not getting the worth," mentioned Srini Tallapragada, Salesforce's president and chief engineering and buyer success officer. "95% of enterprise AI pilots fail earlier than manufacturing. It's not due to lack of intent. Folks wish to do that. All people understands the ability of the know-how. However why is it so exhausting?"
The reply, in response to Tallapragada, is that AI instruments stay disconnected from enterprise workflows, information, and governance programs. "You're writing prompts, prompts, you're getting annoyed as a result of the context is just not there," he mentioned, describing what he referred to as a "immediate doom loop."
Salesforce's answer is a deeply built-in platform connecting what it calls 4 elements: the Agentforce 360 agent platform, Knowledge 360 for unified information entry, Buyer 360 apps containing enterprise logic, and Slack because the "conversational interface" the place people and brokers collaborate.
Slack turns into the entrance door to Salesforce
Maybe essentially the most vital strategic shift is the elevation of Slack — acquired by Salesforce in 2019 for $27.7 billion — as the first interface for Salesforce itself. The corporate is successfully reimagining its conventional Lightning interface round Slack channels, the place gross sales offers, service circumstances, and information insights will floor conversationally relatively than by kinds and dashboards.
"Think about that you simply possibly don't log into Salesforce, you don't see Salesforce, but it surely's there. It's coming to you in Slack, as a result of that's the place you're getting your work performed," Harris defined.
The technique consists of embedding Salesforce's Agentforce brokers for gross sales, IT service, HR service, and analytics straight into Slack, alongside a very rebuilt Slackbot that acts as a private AI companion. The corporate can also be launching "Channel Skilled," an always-on agent that gives on the spot solutions from channel conversations.
To allow third-party AI instruments to entry Slack's conversational information, Salesforce is releasing a Actual-Time Search API and Mannequin Context Protocol server. Companions together with OpenAI, Anthropic, Google, Perplexity, Author, Dropbox, Notion, and Cursor are constructing brokers that can dwell natively in Slack.
"One of the simplest ways to see the ability of the platform is thru the AI apps and brokers already being constructed," Rob Seaman, a Salesforce government, mentioned throughout a technical briefing, citing examples of startups "attaining tens of 1000’s of consumers which have it put in in 120 days or much less."
Voice and IT service take purpose at new markets
Past Slack integration, Salesforce introduced main expansions into voice-based interactions and worker service. Agentforce Voice, now typically accessible, transforms conventional IVR programs into pure conversations that may replace CRM data, set off workflows, and seamlessly hand off to human brokers.
The IT Service providing represents Salesforce's most direct problem to ServiceNow, the market chief. Mudhu Sudhakar, who joined Salesforce two months in the past as senior vp for IT and HR Service, positioned the product as a basic reimagining of worker assist.
"Legacy IT service administration may be very portals, kinds, tickets targeted, guide course of," Sudhakar mentioned. "What we had just a few key tenets: dialog first and agent first, actually targeted on having a conversational expertise for the individuals requesting the assist and for the individuals offering the assist."
The IT Service platform consists of what Salesforce describes as 25+ specialised brokers and 100+ pre-built workflows and connectors that may deal with all the pieces from password resets to complicated incident administration.
Early prospects report dramatic effectivity beneficial properties
Buyer outcomes counsel the strategy is gaining traction. Reddit lowered common assist decision time from 8.9 minutes to 1.4 minutes — an 84% enchancment — whereas deflecting 46% of circumstances completely to AI brokers. "This effectivity has allowed us to supply on-demand assist for complicated duties and increase advertiser satisfaction scores by 20%," mentioned John Thompson, Reddit's VP of gross sales technique and operations, in an announcement.
Engine, a journey administration firm, lowered common deal with time by 15%, saving over $2 million yearly. OpenTable resolved 70% of restaurant and diner inquiries autonomously. And 1-800Accountant achieved a 90% case deflection charge in the course of the important tax week interval.
Salesforce's personal inner deployments could also be most telling. Tallapragada's buyer success group now handles 1.8 million AI-powered conversations weekly, with metrics printed at assist.salesforce.com displaying what number of brokers reply versus escalating to people.
Much more considerably, Salesforce has deployed AI-powered gross sales improvement representatives to observe up on leads that might beforehand have gone uncontacted on account of value constraints. "Now, Agentforce has an SDR which is doing 1000’s of leads following up," Tallapragada defined. The corporate additionally elevated proactive buyer outreach by 40% by shifting workers from reactive assist.
The belief layer downside enterprises can't ignore
Given enterprise considerations about AI reliability, Salesforce has invested closely in what it calls the "belief layer" — audit trails, compliance checks, and observability instruments that allow organizations monitor agent conduct at scale.
"You must consider an agent as a human. Digital labor. It’s essential handle efficiency similar to a human. And also you want these audit trails," Tallapragada defined.
The corporate encountered this problem firsthand when its personal agent deployment scaled. "Once we began at Agentforce at Salesforce, we might observe each message, which is nice till 1,000, 3,000," Tallapragada mentioned. "After getting one million chats, there's no human, we can’t do it."
The platform now consists of "Agentforce Grid" for looking out throughout tens of millions of conversations to establish and repair problematic patterns. The corporate additionally launched Agent Script, a brand new scripting language that permits builders to outline exact guardrails and deterministic controls for agent conduct.
Knowledge infrastructure will get a significant improve
Underlying the agent capabilities is critical infrastructure funding. Salesforce's Knowledge 360 consists of "Clever Context," which routinely extracts structured info from unstructured content material like PDFs, diagrams, and flowcharts utilizing what the corporate describes as "AI-powered unstructured information pipelines."
The corporate can also be collaborating with Databricks, dbt Labs, and Snowflake on the "Common Semantic Interchange," an try and standardize how totally different platforms outline enterprise metrics. The pending $8 billion acquisition of Informatica, anticipated to shut quickly, will broaden metadata administration capabilities throughout the enterprise.
The aggressive panorama retains intensifying
Salesforce's aggressive AI agent push comes as nearly each main enterprise software program vendor pursues comparable methods. Microsoft has embedded Copilot throughout its product line, Google provides agent capabilities by Vertex AI and Gemini, and ServiceNow has launched its personal agentic choices.
When requested how Salesforce's announcement in comparison with OpenAI's latest releases, Tallapragada emphasised that prospects will use a number of AI instruments concurrently. "More often than not I'm seeing they're utilizing OpenAI, they're utilizing Gemini, they're utilizing Anthropic, similar to Salesforce, we use all three," he mentioned.
The actual differentiation, executives argued, lies not within the AI fashions however within the integration with enterprise processes and information. Harris framed the competitors in phrases acquainted from Salesforce's founding: "26 years in the past, we simply mentioned, let's make Salesforce automation as simple as shopping for a e-book on Amazon.com. We're doing that very same factor. We wish to make agentic AI as simple as shopping for a e-book on Amazon."
The corporate's buyer success tales are spectacular however stay a small fraction of its buyer base. With 150,000 Salesforce prospects and a million Slack prospects, the 12,000 Agentforce deployments signify roughly 8% penetration — robust for a one-year-old product line, however hardly ubiquitous.
The corporate's inventory, down roughly 28% 12 months up to now with a Relative Energy score of simply 15, suggests buyers stay skeptical. This week's Dreamforce demonstrations — and the months of buyer deployments that observe — will start to supply solutions as to if Salesforce can lastly transfer enterprise AI from pilots to manufacturing at scale, or whether or not the "$7 billion enterprise" stays extra aspiration than actuality.
