Salesforce adds agent teamwork, IT agents, and data-aware analytics to Summer ’26

What changed: Salesforce’s Summer ’26 release adds Multi-Agent Orchestration in Agentforce so multiple agents can share context and work as one team on longer workflows, plus more than 50 out-of-the-box IT service agents for Slack, Teams, and service desks. Salesforce also introduced Tableau MCP, an open connection that lets AI agents ask Tableau’s analytics engine questions and return answers grounded in company data, and a Help Agent that Salesforce says can be set up in 10 clicks or fewer for websites, portals, or WhatsApp.

Why it matters: This is useful for operators who are past “chatbot on a page” and want agents that can hand work across sales, service, IT, and analytics without making customers or employees repeat context. For buyers, the practical question is no longer whether an agent can answer a question, but whether it can finish a workflow across the systems your team already uses.

Try/watch: Pick one cross-team workflow, such as IT access requests or customer support escalation, and map which systems the agent must read from or update before you buy more licenses.

Broadridge says agentic AI is live in financial operations, not just a pilot

What changed: Broadridge announced that its agentic AI capabilities are live in production across capital markets and wealth management workflows, where the software analyzes, prioritizes, and resolves operational exceptions without constant human instruction. The company says new clients can use the technology either through Broadridge-run managed services or as a standalone platform deployed into a firm’s own infrastructure, and claims up to 30% operational cost reduction on deployment.

Why it matters: Financial services firms have been cautious with agents because mistakes can create audit, compliance, and client-impact risk. A managed-services option gives smaller institutions and operations teams a way to test agentic workflows without hiring a full internal AI operations team first.

Try/watch: Ask any vendor claiming “production agentic AI” for proof of the exception types handled, escalation rules, audit logs, and human approval points before comparing cost-savings claims.

Quiq brings voice into its customer-experience agent platform

What changed: Quiq unveiled Voice AI and expanded its platform so AI agents, human agents, voice, messaging, and escalation history can stay connected across the customer journey. The company says customers can move between voice and messaging without losing context, and that interactions can follow the same guardrails for brand standards, reliability, and transparency.

Why it matters: For customer support teams, the pain is usually not that an AI can’t answer a simple question; it is that context disappears when the customer changes channel or gets escalated. A connected voice-and-messaging setup can reduce repeat questions, improve handoffs, and make AI safer to use in higher-stakes customer conversations.

Try/watch: Before deploying voice agents, test messy real calls: interruptions, accents, angry customers, returns, refunds, and cases where the agent must hand off with a complete summary.