# Lexful

> Lexful helps MSPs turn operational context into client-ready documentation, workflows, and insight.

A concise guide to Lexful's public product, use-case, integration, trust, and company content.

## Key facts

- The MSP documentation platform built for the AI era: Six layers, one knowledge OS. Lexful does everything a documentation tool does (asset, document, and password management), and where legacy tools end is where we start.
- One connected knowledge graph. Six layers working it: Every asset, credential, document, and relationship lives in one structured knowledge layer that your team and your AI tools share.
- Ask Lex: AI as UI: Find, create, update, check, summarize. Ask in plain English; get the answer for the right client in under 30 seconds, with sources and reasoning shown. It follows connections, not keywords, so the answer comes back right for the right client.
- Document Engine: Raw notes become structured SOPs. In-document AI actions, templates, review dates. And Skills: save any prompt as a reusable Skill, private or shared, and run it again with a slash command.
- Asset Intelligence: Full-context device and configuration records, related items, custom asset types, version history on everything. Organized by the Tag Framework: tags, not folders, with Expirations flagging certs, domains, and warranties before they lapse.
- Agent Access (MCP): A secure MCP connection lets Claude, Copilot, Cursor, or your RMM automation query Lexful directly, permissions enforced end-to-end. Plus a full REST API and webhooks.
- Documentation that keeps itself current: Three forces, working together.
- Live sync from PSA and RMM: Records reflect reality, not someone’s memory.

For a more complete public page index, see [llms-full.txt](https://lexful.ai/llms-full.txt).

## Platform

The connected product layers that make operational knowledge structured, governed, and usable.

- [Product](https://lexful.ai/product): Lexful gives your team and your AI tools a structured, queryable knowledge layer — covering assets, credentials, playbooks, and client context. Built for MSPs.
- [Agent Access](https://lexful.ai/product/agent-access): Connect governed Lexful knowledge to the agents and automations your MSP already uses.
- [Ask Lex](https://lexful.ai/product/ask-lex): Ask any question about any client and get a grounded answer from your own governed knowledge.
- [Asset Intelligence](https://lexful.ai/product/assets): Keep every asset, configuration, credential, and relationship structured, connected, and queryable.
- [Credential Vault](https://lexful.ai/product/credentials): Keep credentials in the operational context where technicians need them, with permissions, auditability, and OTP support.
- [Document Engine](https://lexful.ai/product/documentation): Turn raw notes and connected PSA/RMM data into living SOPs your team can trust.
- [Expirations](https://lexful.ai/product/expirations): Certificates, domains, warranties, licenses, and review dates flagged before they lapse.
- [Governance & RBAC](https://lexful.ai/product/governance): Apply roles, groups, grants, and deny scopes across people, Ask Lex, and every connected agent.
- [Skills](https://lexful.ai/product/skills): Save any prompt as a Skill and run it again with a slash command. Private or shared with the team.
- [Tags](https://lexful.ai/product/tags): Folder trees break at MSP scale and starve AI. Tags organize every record for humans and machines.

## Why Lexful

How Lexful approaches the MSP knowledge problem and replaces legacy documentation habits.

- [Why](https://lexful.ai/why): MSPs don't have a tool problem — they have a knowledge problem. Lexful fixes it: structured context your team and agents can actually act on.
- [Relentless Innovation](https://lexful.ai/why/innovation): Lexful is MSP-first, API-first, and MCP-first—built to help MSPs move through the AI-native shift.
- [Legacy Tools vs Lexful](https://lexful.ai/why/legacy-tools): Legacy IT documentation stores records. Lexful makes them usable by techs and AI agents.
- [Migration without Mayhem](https://lexful.ai/why/migration): Move documentation, passwords, attachments, and relationships to Lexful without a disruptive cutover.

## Use cases

Operational outcomes for MSP teams, technicians, clients, compliance, and vCIOs.

- [Solutions](https://lexful.ai/solutions): Run the desk and business with connected, governed operational knowledge.
- [Client Self-Service](https://lexful.ai/solutions/client-self-service): A sourced, permission-scoped AI help center for your clients' own environment.
- [Compliance](https://lexful.ai/solutions/compliance): Save compliance checks as Skills and run them against live documentation with human approval.
- [Create Documentation](https://lexful.ai/solutions/create-documentation): Runbooks, SOPs, and client guides drafted from connected records, then tech-approved.
- [Onboard Clients](https://lexful.ai/solutions/onboard-clients): Bring in a new client stack, structure the records, and identify the gaps on day one.
- [Onboard Technicians](https://lexful.ai/solutions/onboard-technicians): Give new MSP technicians sourced answers from day one.
- [QBR Prep](https://lexful.ai/solutions/qbr-prep): Ask Lex assembles the client's network, asset, warranty, and documentation picture from live records.
- [Resolve Tickets Faster](https://lexful.ai/solutions/resolve-tickets): Ask Lex gives technicians a sourced answer for the right client in seconds.

## Pricing, trust, and getting started

Pricing, security posture, and paths to start a conversation or evaluate Lexful.

- [Demo](https://lexful.ai/demo): See Lexful in action. Book a personalized 30-minute demo and learn how Lexful turns tribal knowledge into machine intelligence for your MSP.
- [Pricing](https://lexful.ai/pricing): One plan. No feature tiers. No surprise add-ons. $20 per active client per month — everything included.
- [Trial](https://lexful.ai/trial): Get started with Lexful and see how AI-powered knowledge operations can help your MSP find answers faster.
- [Trust Center](https://lexful.ai/trust): Review Lexful's security posture, compliance certifications, and governance policies. Request access to our SOC 2 Type II report, security policies, and more.
- [Contact](https://lexful.ai/contact): Get in touch with the Lexful team. Whether you're an MSP exploring the platform, a potential partner, or press — we'd love to connect.

## Integrations

Public documentation integration routes for the Lexful platform.

- [Integrations](https://lexful.ai/integrations): Explore Lexful Docs integrations for PSA and RMM tools.
- [Autotask PSA Integration](https://lexful.ai/integrations/autotask-psa): Lexful connects Autotask PSA context to your documentation layer so teams can answer questions with the right client, asset, and service background.
- [ConnectWise PSA Integration](https://lexful.ai/integrations/connectwise-psa): Lexful uses ConnectWise PSA context to ground documentation and answers in the companies, contacts, assets, and service records your team already trusts.
- [ConnectWise RMM Integration](https://lexful.ai/integrations/connectwise-rmm): Lexful uses ConnectWise RMM context to connect device and environment details with the documentation technicians use to resolve issues.
- [Datto RMM Integration](https://lexful.ai/integrations/datto-rmm): The planned Datto RMM integration will bring endpoint and environment context into Lexful Docs so technicians can answer support questions with fewer manual lookups.
- [HaloPSA Integration](https://lexful.ai/integrations/halopsa): Lexful brings HaloPSA service context into the knowledge layer so teams can pair documentation with live client details.
- [N-able N-central Integration](https://lexful.ai/integrations/n-able-n-central): Lexful Analytics can bring N-able N-central context into MSP reporting so operational health and device data are easier to analyze with client and service context.
- [NinjaOne RMM Integration](https://lexful.ai/integrations/ninjaone-rmm): Lexful connects NinjaOne environment context to your documentation so teams can answer operational questions with current endpoint and device insight.
- [ScalePad Integration](https://lexful.ai/integrations/scalepad): The ScalePad integration helps Lexful Docs keep customer success context close to the documentation your team uses to answer client and account questions.

## Resources

Templates, guides, and public resource detail pages.

- [Resources](https://lexful.ai/resources): Field-tested guides, templates, and tools for MSPs navigating delivery, strategy, risk, and growth. Practical resources you can use immediately with your team.
- [Blog](https://lexful.ai/blog): Practical insights on agentic AI, knowledge operations, and building a modern MSP — from the team at Lexful.
- [The Lex Prompt Playbook](https://lexful.ai/resources/lex-prompt-playbook): The prompts MSP partners run most in Lex, plus the patterns that turn a vague answer into one a technician can act on.
- [Lexful Technical FAQ](https://lexful.ai/resources/technical-faq): Technical answers on Lexful security, AI grounding, integrations, migration, and data ownership.

## Company

Company, careers, privacy, and terms pages.

- [About](https://lexful.ai/about): Meet the MSP operators, SaaS founders, and AI architects building Lexful — the knowledge operating system that turns tribal knowledge into machine intelligence.
- [Careers](https://lexful.ai/careers): Join a remote-first team building the knowledge OS for managed service providers. Equity-backed, high-impact, and doing work that actually matters.
- [Privacy Policy](https://lexful.ai/privacy): Learn how Lexful collects, uses, and protects your personal information. Your privacy matters — here's exactly what we do with your data.
- [Terms of Use](https://lexful.ai/terms): Lexful Website Terms of Use. Please read these terms carefully before accessing or using our platform and services.

## Latest editorial

Recent blog, news, update, event, case study, and guide routes. Use the full index for the longer archive.

- [News](https://lexful.ai/news): Official press releases, funding announcements, and media coverage from Lexful — as we redefine how MSPs manage knowledge and context.
- [Lexful Announces General Availability of AI-Native Documentation Platform Built for the AI Era](https://lexful.ai/news/general-availability-press-release): Lexful today announced general availability of its AI-native IT documentation platform for MSPs, delivering migration without mayhem through expanded integrations and AI-native knowledge operations.
- [Agentic AI for MSPs: What to Automate and What to Keep Human](https://lexful.ai/blog/agentic-ai-for-msps): A control-first blueprint for adopting agentic AI in managed services without introducing operational risk.
- [How AI Architecture Becomes an MSP Advantage](https://lexful.ai/blog/ai-architecture-advantage): A practical lens on architecture decisions that compound into better margin, faster execution, and stronger trust.
- [What AI Reveals About Broken MSP Team Boundaries](https://lexful.ai/blog/ai-broken-team-boundaries): AI exposes unclear MSP team boundaries through missed handoffs, wrong escalations, and confidently incorrect resolutions.
- [How AI Exposes Asset Sprawl MSPs Have Been Ignoring for Years](https://lexful.ai/blog/ai-exposes-asset-sprawl): AI exposes the gap between what MSPs think they manage and what they actually manage. Asset sprawl becomes visible fast.
- [Why AI Isn't Working for MSPs Yet](https://lexful.ai/blog/ai-gap-for-msps): Why most MSP AI deployments fall short, and how AI can fit real MSP workflows well enough to feel like relief instead of disruption.
- [AI hallucination and the state of IT documentation](https://lexful.ai/blog/ai-hallucination-and-it-documentation): Why AI assistants hallucinate on IT documentation, the mechanics that stop it (a closed corpus, cited sources, permissions before generation), and why the fix lives in the data layer.
- [AI-Native Architecture for MSP Platforms](https://lexful.ai/blog/ai-native-architecture): The architectural foundations that make AI reliable in MSP operations: structured context, APIs, and governed execution boundaries.
- [How to Build an AI-Ready Knowledge Base That Actually Works](https://lexful.ai/blog/ai-ready-knowledge-base): AI-ready knowledge bases need structure, source visibility, and workflows that help models produce reliable MSP answers.
- [How AI Will Reshape MSP Business Models](https://lexful.ai/blog/ai-reshaping-msp-business): AI is changing how MSPs price, package, and specialize services. Here's what becomes more valuable as delivery models shift.
- [What AI Actually Needs to Resolve Tickets End-to-End](https://lexful.ai/blog/ai-resolve-tickets-end-to-end): Ticket resolution is a system, not a single parsing step. Production AI needs context, permissions, actions, and feedback loops.
- [The Problem With Automating Tier-1 Without Fixing Context](https://lexful.ai/blog/automating-tier1-context): Automating Tier-1 without fixing context does not reduce MSP workload. It relocates the problem to higher-cost teams.
- [AI-Native Architecture: Building Lexful Different from Day One](https://lexful.ai/blog/building-lexful-ai-first): How Lexful's AI-native, API-first, zero-trust architecture makes MSP knowledge structured, secure, and ready for agentic workflows.
- [Client Trust in the AI Era: What MSP Buyers Must Operationalize](https://lexful.ai/blog/client-trust-ai): Policies, communication standards, and governance controls MSPs need to keep client trust while scaling AI-enabled operations.
- [Culture > Code: Why the Most Forward MSPs Don't Start with AI at All](https://lexful.ai/blog/culture-code-msp-ai): AI projects in MSPs usually fail from lack of belief, not lack of effort. Why culture decides whether AI adoption sticks.
- ["We Were Done an Hour Ago": How an AI-First MSP Rebuilt Its Documentation on Lexful](https://lexful.ai/blog/descent-it-rebuilt-documentation-on-lexful): An AI-first MSP cut documentation time from hours to minutes with Lexful. Steven Saehrig on the one-day migration, AI-generated docs, and happier co-managed clients.
- [From Documentation to Decision Systems: Rethinking MSP Knowledge Bases](https://lexful.ai/blog/documentation-to-decision-systems): MSPs need more than passive documentation. Decision systems surface the right operational knowledge at the right moment.