Knowledge management systems provide agents with structured, searchable access to the information they need to resolve customer inquiries — product information, policy documentation, troubleshooting procedures, and compliance guidance — reducing handle time, improving first-contact resolution, and ensuring consistent responses across the agent population.
The agent knowledge problem is universal: agents spend too much time searching for information, find outdated content, give inconsistent answers, and escalate inquiries that could be resolved with better information access. Modern knowledge management platforms — with AI-powered search, contextual surfacing, content authoring workflows, and feedback loops — transform knowledge from a liability into a competitive advantage. RLM advises on knowledge management strategy and platform selection.
A structured advisory process — from discovery and market evaluation to vendor selection and post-deployment optimization — tailored to your specific environment and objectives.
We assess your current knowledge environment — documenting information sources, search quality, agent satisfaction with knowledge access, and the content management gaps that allow outdated information to persist.
We evaluate knowledge management platforms — Guru, Confluence, ServiceNow Knowledge, Salesforce Knowledge, Shelf.io — against your content structure, search requirements, authoring workflow, and the integration with your agent desktop.
We design the knowledge content architecture — article taxonomy, metadata standards, lifecycle management workflows, and the governance process that keeps content current without creating authoring bottlenecks.
We evaluate and configure AI-powered knowledge search — contextual article surfacing based on IVR input, conversation topic detection, and the agent search interface that returns relevant results faster than traditional keyword search.
These are the dimensions that consistently separate successful CX deployments from costly ones — and the questions RLM will help you answer before any commitment.
Knowledge bases degrade rapidly without active governance. Evaluate the content lifecycle management approach — review triggers, owner accountability, automated staleness detection — that maintains information accuracy.
Knowledge value depends on finding the right article quickly. Evaluate search relevance across your actual content and query patterns — not just vendor-provided relevance benchmarks.
Knowledge management adoption fails when authoring is too burdensome. Evaluate the content creation and update workflow — template quality, review and approval process, and the ease of making quick corrections.
Quality management evaluations should assess whether agents used available knowledge. Evaluate integration between knowledge management and your QM platform — article access tracking during scored interactions.
Contact center knowledge can often be extended to customer self-service portals. Evaluate whether your knowledge platform supports a customer-facing layer that reduces contact volume by enabling customers to find answers themselves.
"RLM helped us select and implement the right CCaaS platform in half the time it would have taken us on our own. Their vendor knowledge is unmatched — they knew exactly what questions to ask."
"We had a legacy premise system and 90 days to migrate. RLM built the plan, managed the vendors, and we hit the deadline with zero customer disruption."
Talk to an RLM advisor who specializes in CX technology. We'll help you find the right solution for your business — without vendor bias.