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The Microsoft Agent Framework unifies two of Microsoft’s existing initiatives, AutoGen from Microsoft Research and Semantic Kernel, into a single enterprise-grade platform. It allows developers to experiment locally and then deploy to Azure AI Foundry with observability, durability, and compliance already built in. The framework supports integration with any API through OpenAPI, cross-runtime collaboration via Agent2Agent (A2A), and dynamic tool connectivity through Model Context Protocol (MCP). 

Alongside the framework, Microsoft introduced multi-agent workflows in private preview through the Foundry Agent Service. These workflows enable orchestration of complex, long-running business processes across multiple agents with built-in reliability features such as retries and recovery. Enhancements to OpenTelemetry were also announced to standardize observability and telemetry for agentic systems, developed in collaboration with Cisco’s Outshift. 

Microsoft also made its Voice Live API generally available, providing a unified speech-to-speech interface that integrates speech-to-text, text-to-speech, avatars, and conversational enhancements in a low-latency pipeline. Enterprises such as Capgemini, healow, and Astra Tech are already deploying the service to power customer service and education use cases. 

In addition, new responsible AI features will enter public preview in the coming weeks, including task adherence, prompt shields with spotlighting for injection protection, and PII detection. These capabilities address governance and compliance challenges that remain a top concern for enterprise AI adoption. 

At the core of the platform is Vibe Codey, an autonomous AI agent connected directly to a company’s Salesforce environment. This integration allows it to reuse existing code and adhere to organizational coding standards, reducing setup time while ensuring consistency. 

Dan Fernandez, VP of Product for Developer Services at Salesforce, said the goal is to eliminate friction: “Rather than spending time setting up model context protocols, dev environments, and tools, everything is prebuilt and ready, lowering the barrier to entry.” 

Agentforce Vibes builds on Salesforce’s earlier AI development tools, including the Agentforce suite announced at Dreamforce 2024. This latest release incorporates a fork of Cline’s open-source Visual Studio Code extension, chosen for its strong support of the Model Context Protocol (MCP) which enables secure connections between AI models, tools, and enterprise data. 

The platform arrives as vibe-coding startups such as Lovable and Anything attract billion-dollar valuations and rapid ARR growth, but face sustainability challenges due to high compute costs. Salesforce aims to sidestep those hurdles by embedding vibe coding into its broader product ecosystem. 

Each Salesforce organization receives 50 free GPT-5 powered requests per day, with additional requests handled by Salesforce-hosted Qwen 3.0. Agentforce Vibes is currently free for existing users, with pricing expected later. 

In sectors like healthcare, finance, and enterprise IT, even a single misheard digit can disrupt transactions, delay services, or compromise compliance. Traditional speech recognition systems often struggle with account numbers, tracking IDs, or prescription identifiers, leading to errors and frustration. 

Constrained Speech Recognition addresses this challenge by using grammars—structured rules that define exactly what the system should recognize. Built on the industry-standard Speech Recognition Grammar Specification (SRGS), these grammars allow organizations to set rules for alphanumeric strings such as VINs or member IDs, as well as constrained lists like department names or product SKUs. They can also include logic for validation, positional constraints, and checksum verification. 

The result is higher containment, improved accuracy, and reduced error rates, even in noisy environments. This approach ensures voice AI agents collect information securely and reliably while maintaining user-friendly experiences. 

As conversational AI evolves toward more agentic architectures, constrained recognition provides the balance between natural interactions and strict precision for regulated workflows. For organizations that depend on accurate voice input, this capability offers a more secure and dependable way to capture critical information. 

The certification comes as healthcare organizations increasingly rely on AI to power patient engagement, from self-service interactions and real-time agent support to fully automated workflows. With the rise of AI-led care operations, trust, compliance, and data protection are becoming as critical as innovation itself. 

HITRUST certification builds on HIPAA and HITECH standards, providing a standardized framework that ensures privacy, security, and compliance across patient interactions. For healthcare providers, this means AI-enabled tools such as digital agents, real-time triage, and automated workflows can be deployed with greater confidence in regulatory adherence. 

Dynamics 365 Contact Center combines AI agents, omnichannel engagement, and human support in a secure platform, now reinforced with HITRUST certification alongside other assurances such as FedRAMP, SOC, PCI DSS, and ISO standards. The solution enables organizations to automate patient scheduling and intake, empower service representatives with governed knowledge retrieval, and streamline back-office workflows without compromising compliance. 

As healthcare systems modernize and adopt agentic AI, HITRUST-certified platforms like Dynamics 365 Contact Center provide the assurance needed to balance innovation with responsibility, ensuring patient trust remains central to every interaction. 

The move comes as Copilot adoption continues to grow rapidly across enterprises. By tailoring Copilot to critical business functions, the update aims to make day-to-day operations faster, more accurate, and more connected. 

For sales teams, Copilot can now surface CRM opportunity details, highlight deals at risk, and even update records automatically within the workflow. Service teams benefit from AI-powered case summaries, faster email drafting, and the ability to view and update records without switching between systems. Finance teams can take advantage of ERP-connected data for financial reconciliation, variance analysis, and report preparation, reducing the time spent on manual tasks. 

These role-based AI solutions will be available starting in October through the Microsoft 365 Copilot Agent Store, making it easier for organizations to scale AI across critical departments and move closer to fully automated, AI-supported operations.