Observed Signal · Jun 17, 2026 · Product Launch · Source: https://martechseries.com/feed/ · Impact: 3/5 · Sentiment: Positive
Fullstory Unveils Three AI-Powered CX Solutions
Fullstory announced three new products — Fullstory Model Context Protocol (MCP), StoryAI Agents, and Workflow Intelligence — to bring behavioral data into AI workflows and automate investigation and process optimization. MCP streams Fullstory behavioral data directly into AI tools (examples named: ChatGPT, Claude, Cursor, Gemini) to eliminate manual exports and enable agentic session review. StoryAI Agents provide autonomous, role-specific analytics and always-on monitoring to find and prioritize user-experience issues. Workflow Intelligence offers cross‑app visibility into internal processes to identify automation opportunities and measure ROI. Fullstory says MCP follows its privacy and security settings and that customers can join the MCP beta program today.
A MarTech vendor launching AI-native products that integrate behavioral data into LLMs and automate UX/process workflows is relevant to CX and analytics teams; it's notable but not a major platform policy or industry-shifting announcement.
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Key Takeaways & Evidence Grounding
- Fullstory announced three new solutions: Fullstory Model Context Protocol (MCP), StoryAI Agents, and Workflow Intelligence.
- Fullstory MCP feeds captured behavioral data directly into AI tools (article cites ChatGPT, Claude, Cursor, Gemini) to remove manual CSV exports and enable real-time queries.
- StoryAI Agents automate analytics and investigation workflows with Expert Agents (on-demand answers) and 24/7 Agents (continuous monitoring and action).
- Workflow Intelligence provides browser-based capture of cross-app workflows to identify friction, automation opportunities, and calculate time/effort savings per employee.
- Fullstory says MCP is secure by design, follows existing Fullstory privacy and security settings, and that customers can join the MCP beta program.
Connected Companies & Entities
4 Entities mappedOntology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Contentsquare Unveils AI Tools to Enhance Customer Journey Insights
Contentsquare expanded its experience-intelligence platform with new AI agent and analytics capabilities to track customer journeys across LLMs, ChatGPT apps, web and mobile. The update includes Sense Analyst, a configurable analytics agent that delivers contextualized, scheduled insights and a customizable Newsroom. Contentsquare added visibility into activity inside ChatGPT apps and prompt analytics, new LLM traffic analytics to distinguish AI-driven from human visitors and measure navigation and conversion, and a conversation intelligence solution (powered by its Loris acquisition) that captures support tickets, calls and in-product chats enriched with reviews and social signals. The company also exposed experience data to external AI assistants (Claude, Cursor, Microsoft Copilot) using the Model Context Protocol (MCP). The platform updates were unveiled at CX Circle London.
BMC Adds Governed AI Agents for Enterprise Workflows
BMC Software announced new capabilities that enable governed AI agents and assistants to securely access actionable intelligence and interact with enterprise workflows across mainframe, cloud, and hybrid environments. Central to the announcement are Model Context Protocol (MCP) innovations that connect AI agents to production workflows and live operational data while preserving governance, visibility, policy controls, and human oversight. BMC expanded MCP support in BMC AMI Assistant and Control‑M (via a Control‑M MCP server), and enhanced features across Control‑M Archive Service, AMI DevX Code Pipeline (SBOM-based CVE identification), AMI Ops Monitoring (AI-driven context-aware alarms), and AMI Cloud data mover. Recent integrations cited include AWS RDS, Oracle Data Transform, SAP CPI, Azure VMSS, Azure AI Foundry, and Dataiku.
Appian Adds Agentic AI and MCP Integration
Appian announced enhancements to the Appian Platform to embed AI into enterprise processes, including AI-assisted spec-driven development, Model Context Protocol (MCP) integration for agents, and upgrades to its data fabric. The release positions Appian as an AI orchestration layer that provides structured process context, unified read-write access to enterprise data, agent performance tracking and reusable agent memory across processes. Appian said new developer MCP servers will enable teams to use third-party AI development tools (examples cited: Claude Code and Kiro) and will support integrations with Snowflake’s AI Data Cloud and Cortex AI. The company highlighted a customer example—Global Excel Management—using Appian to modernize claims workflows. Appian framed these changes as delivering safer, more reliable, and scalable AI-driven outcomes by anchoring agents in governed process models and unified metadata context.
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