KMS Lighthouse is the AI knowledge management system that runs enterprise knowledge as a closed loop. Six AI capabilities find the gaps, draft the answer, score it, govern it and serve it, to your agents, your employees, your customers and your own AI systems.
Stage 01 · DetectGold, 2026
KMS Lighthouse wins Gold for Best Use of AI and Silver for Best Use of Technology at the 2026 US Customer Experience Awards.
Your employees and your AI agents perform at their best when the knowledge behind them is current, consistent and complete. A knowledge management tool built for AI gives every answer an owner, a source and a review cycle, so your customers get the right answer the first time.
One approved version of every answer, owned and cited, that your people and your AI systems can quote with confidence.
See every question your customers ask, and have the approved answer ready before a customer, an auditor or a regulator needs it.
Content health tracked continuously, so your knowledge keeps pace with a business that changes every week.
Most organizations do, and that content is a strong starting point. KMS Lighthouse is the knowledge management tool that turns the documents you already have into managed knowledge: approved, current, and ready for every channel and AI agent.
Silver Stevie®
Named AI Governance and Safety Initiative of the Year, for answers that are grounded, cited and permission aware.
One AI knowledge management system, one knowledge base. Start with the team that will gain the most. Every other team, channel and AI agent then draws on the same approved answers.
40%
shorter call center holding times, with higher first call resolution
Agents get one approved, cited answer inside the desktop they already use, plus proactive suggestions in real time as the call unfolds, so they stop searching and start resolving.
$2.1M
saved on digital channel handling over three years, in Forrester’s Total Economic Impact™ study
Your help center, portal, chatbot and AI agents draw on the same governed knowledge your agents use, so customers and employees get the right answer on their own, without waiting in a queue.
Up to 70%
less onboarding and training time for new hires
New hires learn from the same knowledge they will use on the job, with guided scenarios for the processes that matter.
60%
less time on site for field service teams
Field teams reach the current, approved procedure wherever they are, with less time spent finding the right step.
Every stage of the Autonomous Knowledge Cycle is a working capability in the KMS Lighthouse AI knowledge management system, ready to use today.
Stage 01 · Detect
The Agentic Content Manager shows you what your knowledge base contains and what it needs next. It reads real demand and opens a work item for every gap it finds.
Stage 02 and 03 · Author and govern
AI Authoring drafts against the detected gap, in your template and your tone. AI Scoring grades the draft before a person opens it, so review time goes to judgement rather than proofreading.
Stage 04 · Retrieve
Agentic RAG answers complex questions the way your best expert would. It plans the retrieval, takes as many steps as the question needs, and stays inside what the user is entitled to see.
Stage 05 and 06 · Answer and assist
Answers AI gives a direct, grounded answer at the top of the results page. AI Assistant handles the follow up inside the article. Where accuracy is fixed by policy, GetAnswer returns the approved wording verbatim instead.
Built for banks, insurers, health plans and public services, where every answer has to be right.
Grounding
Answers AI and AI Assistant answer from approved content only, and cite the article and version every time.
Control
Entitlement is applied inside retrieval, so search, AI answers and the API show each user exactly what they are permitted to see. SSO via SAML 2.0.
Evidence
Every change, score, approval and publication is retained with owner and timestamp, so you can show what was live on any date.
Assurance
SOC 2 Type II audited externally every year, ISO 27001 at group level, and data residency provided by region to your requirement.
See the loop at work. KMS Lighthouse Insight scores content health, tracks the gap backlog and feeds what it learns back into detection.
Every article scored for completeness, clarity, structure and compliance fields.
The share of AI answers cited to approved content, tracked over time.
Every article kept on its review schedule, by domain and owner.
Reduce Call Center Average Handling Time
Save $147K
Decrease Digital Channel Handling Time
Save $311K
Improve Onboarding of New Employees
Save $63K
Saving In 1 Years
Average ROI In 3 Years
Reduce Call Center Average Handling Time
Save $507K
Decrease Digital Channel Handling Time
Improve Onboarding of New Employees
Saving In 2 Years
Average ROI In 3 Years
Reduce Call Center Average Handling Time
Save $895K
Decrease Digital Channel Handling Time
Save $1.1M
Improve Onboarding of New Employees
Save $63K
Saving In 3 Years
Average ROI In 3 Years
Gartner confirms that in 2026, organizations cannot achieve AI success, self-service resolution, or improved customer experience without modern knowledge management.
Forrester Wave™ names KMS Lighthouse a Top 3 Leader shaping the future of enterprise knowledge management.
IDC MarketScape: KMS Lighthouse Recognized as a Leader in Knowledge Management
KMS Lighthouse Recognized at the 2025 European Contact Centre & Customer Service Awards (ECCCSAs) for Excellence in Data & Insights
KMS Lighthouse is an AI knowledge management system for enterprise customer service. It keeps one governed source of approved, cited answers and serves it to contact center agents, self-service channels, field and back-office teams, and your own AI agents.
AI assistants and agents are only as accurate as the content they answer from. KMS Lighthouse keeps that content current and consistent: it finds gaps and conflicts, keeps every answer owned, scored and versioned, and lets AI answer from approved content only.
A standard knowledge management tool stores and searches content. KMS Lighthouse also detects what is missing, drafts and scores new answers with AI, and serves one governed answer to people and AI agents alike, which is why it is built as an AI knowledge management system.
Answers AI and AI Assistant answer from approved content only and cite the article and version they used. Where policy fixes the wording, GetAnswer returns the approved text verbatim.
Yes. Agentic RAG serves the same approved knowledge to your own AI agents through an MCP server and an open API, with each user's permissions applied during retrieval.
A document repository stores files. KMS Lighthouse manages knowledge: it detects what is missing or contradictory, routes each gap to an owner, scores content before it is published, keeps a full audit trail, and serves one approved answer to every channel and AI agent.
Call centers, help centers and self-service, onboarding and training, and field service. These are use cases of one platform and one knowledge base, so every team works from the same answers.
In a commissioned Forrester Total Economic Impact study of a composite organization, KMS Lighthouse delivered a 269% return on investment and $3.8M in benefits over three years. Customers have cut call center holding times by 40%, onboarding and training time by up to 70%, and field service time on site by 60%.
KMS Lighthouse is SOC 2 Type II audited every year and ISO 27001 certified at group level, with regular penetration testing by an independent third party. It supports SSO and SCIM user provisioning, offers regional data residency, and conforms to WCAG accessibility guidelines.
Salesforce, Genesys, Zendesk, Freshworks, Microsoft Dynamics 365, Microsoft Teams, Jira, Azure OpenAI and AWS, plus an open API and an MCP server for your own systems and AI agents.
In a free tailored demo, one of our knowledge experts walks through your own content with you: what is ready today, what to connect next, and how your AI agents will answer your customers with it.
