01
Knowledge scattered everywhere
Answers live across drives, wikis, chats and people's heads.
08 · AI & Automation06 of 07
An AI assistant that knows your policies, processes and documents, and shows where each answer came from.
Teams waste hours hunting for the right document or asking colleagues the same questions. An internal knowledge assistant answers from your own policies, wikis and files, cites where each answer came from and respects who can see what, so people get answers instantly and experts get their time back.
- Of answers cite their source
- 100%
- Of answers cite their source
- Place to ask, inside Slack or Teams
- 1
- Place to ask, inside Slack or Teams
- Typical time to pilot
- 4–8 wks
- Typical time to pilot
how do I book annual leave?
1
2
3
4
1
Answer
Policies and handbooksProcesses and SOPsWikis and drivesCited answersAccess controlsSlack and TeamsOnboardingUsage insightsPolicies and handbooksProcesses and SOPsWikis and drivesCited answersAccess controlsSlack and TeamsOnboardingUsage insights
Sound familiar?
The problems we hear most often before someone asks us about internal knowledge assistants.
02
Experts interrupted all day
The same questions land on the same few people, slowing everyone down.
03
Slow onboarding
New starters take months to learn where things are and how things work.
What's included
01
Knowledge audit
Where your knowledge lives, what's current and what needs tidying.
02
Secure connection
Drives, wikis and documents connected with permissions respected.
03
Cited answers
Every answer links to its source, so people can verify it.
04
Where people work
Available in Slack, Teams or your intranet, not another app to open.
05
Gap reports
Questions it couldn't answer, showing where documentation is missing.
06
Governance
Content ownership and update processes so answers stay accurate.
How we do it
You follow every step live in Mission Control, your project dashboard: tasks, files, approvals and a launch forecast.
- 1
Audit
Sources, permissions and the questions people ask most.
- 2
Connect
Content connected securely and prepared for retrieval.
- 3
Pilot
A pilot with one team, measuring accuracy and usefulness.
- 4
Roll out
Wider launch, training and ongoing content governance.
100%
Of answers cite their source
1
Place to ask, inside Slack or Teams
4–8 wks
Typical time to pilot
Built for
Who this is for.
Growing teams with lots of documentation
Companies onboarding new staff often
Support and operations teams
Organisations with policies spread across systems
Tools we useClaudeVercel AI SDKn8nZapierMakeHubSpotSupabasePython
Helpful extras
Try it yourself, or see what's built in.
Questions
Internal knowledge assistants, answered.
Something else on your mind? Ask the Zelvorm Concierge in the corner, or talk to the team.
No. We respect your existing permissions, so the assistant only uses content each person is allowed to access.
More in AI & Automation
The rest of the toolkit.
- 01AI chatbots & assistantsTrained on your content, honest when it doesn't know, and handing over to a person when it matters.
- 02Workflow automationConnect your tools, move data automatically and give your team their hours back.
- 03CRM integration & AI enrichmentEvery lead captured, enriched and scored automatically, then routed to the right person.
- 04AI agents & tool callingAgents that use your tools to complete multi-step tasks, with guardrails and approvals built in.
- 05Document & email automationInvoices, forms and emails read, sorted and filed automatically, with people checking what matters.
- 06AI strategy workshopsHands-on workshops that find your best AI opportunities and end with a roadmap and a first pilot.
From the Journal
Read before you decide.
AI & AutomationAI Meeting Notes: Turning Meetings Into Decisions and Action Items
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6 Nov 2026 · 4 min read
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No-code automation isn't hype — it's five specific, boring workflows most businesses still do by hand. Here's exactly what to automate first.
18 Apr 2026 · 5 min read
AI & AutomationAI Chatbots for Small Business: What They Can (and Can't) Do in 2026
AI chatbots have gotten genuinely useful — but they still fail in predictable ways. A realistic look at what to automate and what to leave to humans.
11 Apr 2026 · 5 min read
Next in AI & Automation
AI strategy workshops
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