H2K AI Knowledge Assistant
Enterprise AI that answers from your documents
H2K AI Knowledge Assistant turns manuals, policies, and operational files into a private RAG knowledge base — so teams get cited answers instead of hunting through folders.
Free to start · Watch the product demo · Book a walkthrough
Private tenant · Cited answers
1. Upload documents · 2. Ask in plain language · 3. Verify with citations
Private by design
Tenant-scoped search and chat — your documents stay isolated from other customers.
Cited answers
Every response points back to the source document so teams can verify claims.
Pilot-ready
Start with one department and a document set, then expand with admin controls.
What is an enterprise AI knowledge assistant?
Most workplace AI tools answer from the open web. An enterprise AI knowledge assistant answers from your documents — handbooks, SOPs, policies, runbooks, and contracts — inside a private tenant your company controls.
H2K uses retrieval-augmented generation (RAG): when someone asks a question, the platform finds the most relevant passages, generates an answer, and attaches citations so operators can verify before they act. That reduces guesswork for support, HR, legal, healthcare ops, and finance teams that cannot rely on generic chatbots.
Start with document upload, semantic search, and cited chat, then expand into the workflows your industry needs. See industry use cases or RAG guides for deeper detail.
See the product in action
Short walkthrough of document indexing, AI chat, and cited answers.
Why teams choose H2K ITECH
For operations, support, HR, and compliance teams
Anyone who lives in manuals, policies, and SOPs gets a faster path to the right answer.
Grounded in your documents — not the public web
RAG retrieval keeps answers tied to your knowledge base with citations you can open and verify.
Enterprise-ready from day one
Multi-tenant isolation, role-based access, and practical admin workflows for department pilots or company-wide rollout.
How it works
Upload → retrieve → cite — a clear path from documents to trusted answers.
STEP 1
Upload
Add PDF, DOCX, and XLSX files. We extract, chunk, and embed them into your private knowledge base.
STEP 2
Ask
Employees search or chat in plain language. Retrieval finds the most relevant passages for your tenant.
STEP 3
Cite
Answers include source citations so teams can open the passage and verify before they act.
Platform capabilities
Available today for document RAG and LangGraph agents on paid plans. Roadmap items are clearly labeled.
AI Knowledge Assistant
Faster decisions, fewer repeated questions, and answers teams can verify before they act.
Learn more →Cited Answers & Security
Teams ship answers they can defend — with company knowledge kept isolated.
Learn more →Document Intelligence
New knowledge becomes searchable within minutes — not after another training deck or wiki rewrite.
Learn more →Enterprise Search
Operators, analysts, and support agents find the right procedure on the first try.
Learn more →API Integrations
A knowledge layer that fits your stack instead of forcing another disconnected portal.
Multi-Agent Workflows
Faster, more reliable answers for ops, support, and HR — with source citations. Included on paid plans (not on free trial Search-only access).
Learn more →Built for document-heavy teams
Detailed use cases for the problems your teams actually face.
Healthcare AI Assistant
Healthcare AI Assistant
Help clinical and admin staff find policies, protocols, and operational guidance with verifiable sources.
Read use case →Financial Document Analysis
Financial Document Analysis
Accelerate compliance, operations, and research teams with secure search across policies and client documents.
Read use case →Customer Support AI
Customer Support AI
Give support agents instant answers from product docs, runbooks, and past resolutions — with sources attached.
Read use case →HR AI Assistant
HR AI Assistant
Answer employee questions about handbooks, benefits, and policies without flooding HR with the same requests.
Read use case →Legal Document Search
Legal Document Search
Surface clauses, playbooks, and prior guidance across contracts and legal knowledge bases — with citations.
Read use case →Frequently asked questions
Quick answers about our RAG platform, security model, and rollout.