Salesforce is charging for customer service AI only when it resolves issues without human involvement. The pricing model is bold, but the harder problem is agreeing on what “resolved” actually means. ECI Research breaks down what IT leaders and developers need to evaluate before signing outcome-based AI contracts.
Salesforce Outcome-Based AI Pricing: What Enterprises Must Know Read More »
Berlin-based Nomerra has raised $2 million to make private market operations AI-native, targeting the manual back-office work still running on emails, PDFs, and spreadsheets. The company’s vertical AI agents follow firm-specific procedures and deliver auditable outputs across fund accounting, treasury, and transfer agency. As private markets approach $30 trillion in AUM, the case for operational AI infrastructure has never been clearer.
Nomerra Raises $2M to Bring AI Agents to Private Markets Ops Read More »
Arkose Labs has launched Agent Trust Manager, a product purpose-built to classify AI agent traffic into three distinct populations and enforce intent-based policy across web and API surfaces. The announcement exposes a structural gap in legacy bot detection that the bot-or-human binary can no longer address. ECI Research examines what this means for enterprise security teams and the fraud management market.
Arkose Agent Trust Manager: Classifying Agentic AI Threats Read More »
CData Software has launched three developer-facing products designed to eliminate the governance bottleneck blocking enterprise AI projects at the data layer. Connect AI Developer Edition, the CData Python SDK, and CData CLI give developers SQL, Python, and command-line access to hundreds of enterprise systems, while preserving the audit trails and access controls IT requires. The move targets a structural problem in enterprise AI: developers need fast data access, and IT needs visibility over every interaction.
CData’s New Dev Tools Tackle Enterprise AI Data Access Read More »
Beyond Identity has launched Ceros, an agentic AI trust layer that provides identity verification, runtime governance, and provenance tracking for autonomous AI agents. The platform addresses a critical enterprise security gap as AI agent adoption accelerates without corresponding oversight tooling. ITDMs and security teams should evaluate their agentic AI attack surface now, before incidents force the conversation.
Ceros Launches Agentic AI Security Trust Layer for Enterprises Read More »
Ushur’s 2026 AI Agent Buyers Guide argues that enterprise CX deployments succeed or fail on compliance architecture and journey-completion capability, not conversational quality. ECI Research analysts assess the guidance, the competitive landscape, and what ITDMs and developers should actually test before signing a contract. The market is consolidating, and the platforms with production credibility in regulated industries will win.
How to Evaluate an AI Agent Platform for Enterprise CX in 2026 Read More »
The enterprise AI market is discovering that larger models don’t fix a broken context architecture. Relational AI CEO Molham Aref argues that closing the AI value gap requires executable, relational context grounded in business semantics. ECI Research examines the implications for IT decision-makers managing token economics and developers building production-grade agent systems.
Closing the Enterprise AI Context Gap with Relational AI Read More »
Databricks has released Omnigent, an open source meta-harness that sits above existing AI agent frameworks to enable composition, governance, and real-time collaboration across agents. The Apache 2.0 release targets a critical gap in enterprise agentic AI: each harness today is a silo with no shared control plane. ECI Research analysis examines what this means for IT decision-makers managing agent sprawl and developers building multi-harness workflows.
Omnigent: Databricks Open Sources an AI Agent Meta-Harness Read More »
Descope has released Agentic Identity Hub 2.5, adding granular access policies, autonomous agent support, and human-in-the-loop auth flows for MCP servers and AI agents. The update addresses a growing security gap as enterprises deploy agentic AI using identity patterns designed for humans. ECI Research analyst coverage examines the business risk, developer implications, and competitive landscape.
Descope Agentic Identity Hub 2.5: Securing AI Agents at Scale Read More »
SurfaceGX’s inaugural Agent Readiness Gap benchmark reveals that leading B2B SaaS brands have strong AI search foundations but zero primary-domain agent discoverability. None of the 26 brands studied have published machine-readable agent contracts at their primary domain, despite several already operating MCP servers. ECI Research analyzes what this means for enterprise buyers, developers, and competitive positioning.
The AI Agent Discoverability Gap: What B2B SaaS Brands Are Missing Read More »