Hudu has moved fast in the last year. They launched Hudini AI, expanded to over 40 integrations, added n8n workflow support, and built an API that actually works. For MSPs who picked Hudu over IT Glue — often because of pricing, self-hosting options, or frustration with Kaseya’s direction — the platform has matured into a legitimate documentation backbone.

But there’s a gap that none of these improvements address. Your Hudu documentation still doesn’t show up inside your tickets. Hudini helps you work faster within Hudu. It doesn’t deliver your SOPs to the technician who’s staring at a ConnectWise or HaloPSA ticket wondering how to provision a new user for a client they’ve never worked on before.

Hudu’s AI ecosystem in 2026

Hudu’s ecosystem has grown significantly. Here’s what’s available today for MSPs looking to add AI and automation to their Hudu instance.

Hudini AI is Hudu’s built-in AI assistant, launched in late 2025. It helps with documentation tasks inside the Hudu interface — drafting articles, summarizing existing documentation, answering questions about your knowledge base, and suggesting related content while you’re editing.

n8n integration gives Hudu workflow automation capabilities. You can trigger automations when articles are created or updated, sync data between Hudu and other platforms, and build custom workflows that pull from Hudu’s API.

40+ integrations now connect Hudu to RMM platforms, PSA tools, and other MSP software. These integrations primarily handle asset sync — pulling device and configuration data into Hudu so your documentation stays current.

The Hudu API is well-documented and capable. MSPs with development resources can build custom integrations, pull documentation programmatically, and extend Hudu’s functionality beyond what the built-in features offer.

This is a healthy ecosystem. But notice what all of these tools have in common: they make Hudu better as a documentation platform. None of them solve the delivery problem.

What Hudini does and doesn’t do

Hudini is a useful tool, but its scope is narrower than the marketing suggests if you’re hoping it solves the documentation-to-ticket pipeline.

What Hudini does: It works inside Hudu. You can ask it questions about your documentation and get answers drawn from your knowledge base. It helps you write and edit articles faster. It can summarize long procedures and suggest connections between related documents. Think of it as a smart search and writing assistant for your Hudu instance.

What Hudini doesn’t do: It doesn’t operate inside your ticketing system. When a ticket arrives in ConnectWise, HaloPSA, or Zendesk about a new user provisioning for a client, Hudini can’t read that ticket, find the relevant onboarding procedures in Hudu, and deliver steps to the technician. You’d need to leave your PSA, open Hudu, ask Hudini the right question, read the answer, go back to your PSA, and apply it.

That’s still a context switch. It’s a faster context switch than manually searching Hudu, but it’s a context switch all the same. For a technician handling 15-20 tickets per day, those context switches add up to a significant chunk of lost time.

The missing piece: documentation delivery into tickets

The problem isn’t documentation quality. It’s documentation delivery. Your Hudu instance might have a detailed, step-by-step SOP for onboarding a new user at Client XYZ — creating their AD account, provisioning their Microsoft 365 license, setting up their phone system extension, configuring their VPN profile, adding them to the right security groups. Every step documented, every client-specific detail captured.

But when the “New hire starting Monday — need full setup” ticket lands in your PSA, that SOP doesn’t automatically appear. The technician either knows the procedure from memory, searches Hudu manually, asks a colleague, or wings it and misses steps.

Missing steps during client onboarding is one of the more expensive documentation failures. A forgotten security group assignment might not surface for weeks until the new employee can’t access a shared resource. A skipped phone extension setup means a follow-up ticket and a second round of work. These aren’t catastrophic failures, but they erode client confidence and create rework that eats into your margins.

The missing piece is a system that reads the ticket, identifies it as a new user provisioning request for a specific client, pulls the relevant procedures from Hudu, and delivers them as structured steps inside the ticket before the technician even opens it.

How resolution engines close the gap

Resolution engines sit between your documentation platform and your ticketing system. They connect to Hudu through its API, index your documentation, and monitor your PSA for incoming tickets. When a match occurs, they deliver formatted resolution steps inside the ticket with links back to the source articles in Hudu.

For the new user onboarding example, a resolution engine like ResolvCmd would identify the client, pull their specific onboarding SOP from Hudu, and present the technician with a checklist: create AD account with these specific OU settings, assign these Microsoft 365 licenses, configure phone extension using this dial plan, add to these security groups. Each step linked to the Hudu article it came from.

The technician doesn’t search. They don’t context-switch. They don’t guess. They follow documented steps and verify against the source if anything looks off.

This doesn’t replace Hudu or Hudini. It extends them. Hudu remains your documentation platform. Hudini remains your documentation assistant. The resolution engine handles the last mile — getting that documentation into the ticket where the work actually happens.

Hudu vs IT Glue: documentation quality isn’t the problem

MSPs sometimes frame the Hudu vs IT Glue decision as a documentation quality question. Which platform produces better documentation? Which one has better templates? Which one makes it easier to keep things up to date?

These are valid questions, but they miss the point when it comes to ticket resolution. Both platforms can hold excellent documentation. The problem isn’t the quality of what’s stored — it’s whether what’s stored gets used when it matters.

An MSP with perfect documentation in Hudu and no delivery mechanism has the same problem as an MSP with perfect documentation in IT Glue and no delivery mechanism. The documentation sits there, complete and accurate, while technicians resolve tickets from memory and tribal knowledge. This is the same ROI problem that IT Glue users face — great docs that nobody reads during ticket resolution.

If you’re evaluating Hudu vs IT Glue, evaluate them as documentation platforms — features, pricing, hosting options, API quality. But don’t expect either one to solve the delivery problem on its own. That’s a different category of tool.

Getting started with Hudu + AI resolution

If you’re on Hudu and want to start closing the documentation delivery gap:

1. Assess your Hudu coverage. Pull your top 20 ticket types and check whether each one has a corresponding Hudu article. If your documentation is thin, invest there first. No delivery tool can deliver documentation that doesn’t exist.
2. Try Hudini for internal use. If you haven’t enabled Hudini yet, start there. It won’t solve the ticket delivery problem, but it will help you identify gaps in your documentation and improve what you have.
3. Evaluate resolution engines. Look for tools that connect to Hudu’s API specifically. Not all AI tools support Hudu — many are built around IT Glue or generic knowledge bases. Make sure the tool you evaluate can actually read your Hudu documentation structure.
4. Measure your baseline. Before adding any tool, track how long your technicians spend searching for documentation per ticket and how often they resolve issues without consulting docs at all. This gives you a baseline to measure improvement against.

Hudu is a strong platform that keeps getting better. The next step isn’t making Hudu better — it’s making Hudu’s documentation available where your team actually works.