Create and manage trusted enterprise knowledge in one place. Deliver context across the people, partners and AI systems that support your customer experience.

Get clear guidance at the point of need.
Access knowledge for shared workflows.
Find trusted answers through self service.
Ground your AI in approved enterprise context.
Access machine- readable context for approved workflows.
Ensure humans and agents have the detail they need for their role and task, across the customer journey lifecycle. Apply access rules and deliver the right context to the right audience across employee, partner, customer and AI-powered experiences.
Combines vectorized database retrieval (RAG) with the Model Context Protocol (MCP) to give content machine-readable context.
Provide real-time enterprise context to customer AI agents interacting through OvationCXM’s Agentic Transaction Control Layer.
Serve up precise answers instantly via GenAI, eliminating manual searching and cutting onboarding time.
Preview branding and custom-code changes before publishing, with full revision tracking.
Accelerate article creation and automatically reformat content to align with built-in brand voice controls and strict safety guardrails.
Access and deliver accurate, role-based guidance in a WCAG 2.1 AA ADA-Compliant knowledge environment.
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Learn more about how our Knowledge and Context layer helps enterprises create, manage and deliver knowledge to human and AI users.
OvationCXM’s Knowledge and Context module is a unified, governed context engine that unifies enterprise knowledge repositories and customer-facing content to deliver accurate, role-based information across employees, partners, self-service channels and non-human agents. It is designed as a foundational add-on module to the OvationCXM platform that connects into your existing setup.
Traditional knowledge base software functions as a static repository for help articles. OvationCXM’s Knowledge and Context module evolves the traditional knowledge base into an active, machine-readable context engine. Beyond powering WCAG 2.1 AA-compliant human self-service portals, Knowledge and Context delivers real-time, hallucination-free facts directly to AI agents.
Orchestration manages stages, steps and tasks across complex banking journeys. Knowledge and Context sits directly behind those orchestrated steps, supplying the real-time,role-based information that human and non-human agents need to complete each task securely and accurately, without leaving the platform. Without grounded context, automated steps or human handoffs in an orchestrated journey risk delays, errors, and AI-based hallucinations which are especially risky in financial services..
MCP standardizes how knowledge is delivered to AI. Instead of making content accessible only to human readers, MCP integration structures enterprise knowledge so AI agents can read, understand, and act on it natively.
Traditional knowledge bases structure content for human eyes using HTML or PDFs, which force AI agents to scrape, parse, and guess context - frequently causing errors or hallucinations. By wrapping enterprise content and existing bank APIs in accordance with the MCP standard, Knowledge and Context serves structured, machine-readable context directly to AI models. This allows both internal co-pilots and external customer AI agents to consume, contextualize and execute verified banking rules instantly without complex or custom IT integration.
ATCL acts as the gatekeeper of non-human agents by authenticating the agent, enforcing task permissions and auditing the transaction. Knowledge and Context serves as the factual brain behind that gate. Take the example of a wire transform. Before a customer AI agent can schedule a wire transfer, OvationCXM’s Knowledge and Context provides the agent with instant, machine-readable facts - such as same-day wire cut-off times, daily transaction limits, or required approval documentation - to ensure the agent’s request is valid before ATCL authorizes execution. In short, Knowledge and Context feeds real-time facts directly to verified customer AI agents before an action is executed.
Yes. With the "Draft Article from Case" action, team members can instantly convert case troubleshooting details into a structured, brand-compliant knowledge draft with a single click, capturing valuable tribal knowledge before it gets lost.
In a real-world deployment for a Top 5 U.S. Bank, the Knowledge module replaced a fragmented legacy setup to deliver role-based internal knowledge bases and a WCAG 2.1 AA ADA-compliant merchant help center. This centralized approach streamlined employee workflows, reduced resolution times and empowered customer self-service across complex merchant services operations. You can read more here.