Your SaaS product's AI support brain.
SupportGraph turns your docs, website, and support history into a product knowledge graph, then helps your team resolve tickets with source-backed AI answers.
Built for SaaS teams that need faster support without hallucinated answers.
- Source citations
- Confidence scoring
- Fully automated
Sources unified
Docs · Web · PDFs · Tickets
Citations per draft
Always attached
Reply approval
Human-in-the-loop
- Built for SaaS founders
- Designed for support teams
- Source-backed AI answers
- Fully automated
- Knowledge graph powered
Support knowledge is scattered. AI answers should not be.
Most SaaS support stacks have answers everywhere and confidence nowhere. SupportGraph closes that gap.
Knowledge is scattered
Product answers live across docs, Notion, websites, PDFs, Slack, and past tickets.
Generic chatbots hallucinate
Models without grounded sources guess at policies, plans, and product behavior.
Agents repeat themselves
Support teams answer the same question dozens of times every week.
Ramp time is slow
New agents take weeks to learn what the product can and cannot do.
Trust erodes without sources
Customers lose confidence when answers are not backed by evidence they can verify.
One product knowledge layer for every support answer.
Ingest, structure, retrieve, draft, and approve in one workflow. Built so support teams stay in control.
01
Ingest everything
Add your docs, website pages, PDFs, FAQs, and previous support conversations.
02
Extract structure
Identify entities, features, plans, policies, errors, workflows, and relationships.
03
Build the graph
Map your product into a knowledge layer that grows with every new source.
04
Retrieve grounded context
Combine vector retrieval with graph traversal to surface the right sources fast.
05
Draft with citations
Generate AI support drafts that cite the exact passages they relied on.
06
Approve and improve
Humans review, edit, approve, and feed every correction back into the system.
From scattered docs to grounded support replies
Four steps. One workflow. Built so your team can review, approve, and keep improving the system.
Connect your product knowledge
Add your docs, website, PDFs, FAQs, and previous support conversations. SupportGraph normalizes them into a single knowledge layer.
Build the product graph
SupportGraph maps features, workflows, policies, integrations, errors, plans, and relationships into a queryable graph.
Generate grounded replies
For each ticket, SupportGraph retrieves the relevant sources and drafts a contextual response with citations and a confidence score.
Approve and improve
Your team reviews, edits, and approves each reply. Every correction sharpens the system over time.
Everything you need to ground AI in your product
A focused toolkit for SaaS support teams. Honest status badges. No production claims we can't back up yet.
Website & docs crawler
Crawl your public site and documentation to keep the knowledge layer current.
PDF & CSV upload
Upload knowledge from PDFs, runbooks, and CSV exports of past tickets.
Product knowledge graph
Entities and relationships across plans, features, policies, and workflows.
AI ticket resolution copilot
Drafts contextual replies for each ticket with citations and confidence.
Source-backed answers
Every reply links back to the exact passages that justify it.
Confidence scoring
See how well retrieved evidence covers each customer question.
Human-in-the-loop approval
Review, edit, and approve drafts before anything is sent.
Missing documentation detection
Spot questions where your knowledge base falls short and needs to grow.
Conversation history
Use prior tickets as context so similar issues get faster, sharper replies.
Analytics dashboard
Track approval rate, draft quality, response time, and topic coverage.
Ticketing integrations
Bring SupportGraph into Intercom, Zendesk, Freshdesk, and more.
Multi-channel readiness
Designed for email, chat, and shared channels as integrations roll out.
A support inbox that always shows its work
Three columns: tickets, the AI draft with citations, and the sources that justify it.
Ticket T-2031 · Maya Chen · Lumenway
Does the Growth plan include Slack integration and custom roles?
Customer
Hi team, we're upgrading from Starter and need to confirm two things before billing approves it: does the Growth plan include the Slack integration, and can we configure custom roles for our workspace admins?
AI draft · grounded in 4 sources
EditableYes, both are included on the Growth plan. Slack integration is available out of the box and can be connected from Settings → Integrations → Slack. Custom roles are available for workspace admins, with permissions managed under Settings → Roles & Permissions.
- cite: Pricing page
- cite: Slack setup
- cite: Roles doc
- cite: Ticket #1827
Built for retrieval, reasoning, and trust.
From source ingestion to a reviewed customer reply. Designed for evaluation, guardrails, and accelerated infrastructure as the product matures.
Step 1
Sources
Docs, web, PDFs, tickets
Step 2
Ingestion
Crawl, fetch, normalize
Step 3
Parsing
Chunk, extract, structure
Step 4
Embeddings & RAG
Vector retrieval
Step 5
Knowledge Graph
Entities & relations
Step 6
AI Draft
Grounded reasoning
Step 7
Human Approval
Review & edit
Step 8
Reply
Sent with citations
GPU-accelerated retrieval ready
Architecture designed to take advantage of accelerated inference and vector search as we scale.
Evaluation and guardrails
Confidence scoring, source coverage, and review-first design baked into the workflow.
Source traceability
Every reply links to the documents and passages that justify it, end to end.
What teams use SupportGraph for
Honest, focused outcomes for SaaS support teams in their first phase of AI adoption.
Reduce repetitive SaaS tickets
Free your team from typing the same answer for the tenth time this week.
Turn docs into a support copilot
Activate the documentation you already wrote into a working AI assistant.
Ramp new agents faster
Let SupportGraph surface the right context so new hires answer with confidence.
Find documentation gaps
Surface customer questions your knowledge base does not yet cover.
Trusted AI replies with sources
Send drafts that include citations, not just plausible-sounding text.
Prepare support to scale
Build the workflow once, then keep up as your product and customer base grow.
Designed for trustworthy AI support.
Trust comes from showing your work. SupportGraph is built around source-backed answers, human review, and clear confidence.
Source-backed answers
Every draft cites the documents and passages that justify it.
Human approval before sending
No AI reply leaves the system without a teammate explicitly approving it.
Confidence indicators
See coverage and confidence per draft so judgment scales with volume.
Audit trail direction
Designed for traceable history: who approved what, with which sources.
Compliance certifications such as SOC 2 are part of our roadmap. We will announce status publicly as each milestone is completed.
Entities
Plans · Features · Errors
Relations
Gates · Limits · Steps
Sources
Docs · Web · Tickets
Pricing built for SaaS teams
Plans for every stage. Pick the one that matches where your team is today.
Starter
LiveFor founders and small SaaS teams validating AI support workflows.
- Product knowledge ingestion
- AI ticket draft preview
- Source-backed answers
- Human approval workflow
- Product updates
Startup
PopularFor growing SaaS teams with recurring support tickets and a real backlog.
- More knowledge sources
- Ticket imports
- Team workspace
- Analytics
- Integration roadmap access
Growth
For support teams that need higher volume, deeper workflows, and security review.
- Advanced knowledge graph
- Custom workflows
- Security review
- Integration support
- Priority roadmap input
Answers about SupportGraph
Questions we hear from founders, support leads, and engineering teams evaluating AI support tools.
SupportGraph turns your docs, website, FAQs, PDFs, and past tickets into a product knowledge graph. It uses that graph to draft source-backed replies for support tickets, with a confidence score and human approval before anything is sent.
No. A chatbot answers without showing its work. SupportGraph drafts a reply, cites the exact passages it relied on, scores how well the evidence covers the question, and waits for a human to approve before sending.
Most AI support tools wire a model to a vector store. SupportGraph adds a structured product graph on top, so we can reason about plans, features, policies, and relationships instead of guessing from similar-looking text alone.
Yes. The crawler ingests public docs and website pages and keeps them refreshed. Internal sources can be uploaded directly.
Yes. Upload PDFs, runbooks, FAQs, and CSV exports of past tickets. SupportGraph parses, structures, and links them into the same knowledge layer.
No. SupportGraph drafts replies that humans review, edit, and approve. The goal is to make support teams faster and more confident, not to remove them from the loop.
For every ticket, the system retrieves relevant passages from your knowledge layer and drafts a reply that cites them. You can click any citation to verify the source before approving.
Ticketing tools like Intercom, Zendesk, Freshdesk, HubSpot, and Help Scout are on the roadmap, alongside Slack, Microsoft Teams, email, REST API, webhooks, Zapier, and Make.
It is built for them. SupportGraph is the right fit if you have docs, a growing support load, and want a workflow you can grow into rather than rip out later.
Book a demo and we'll walk through SupportGraph on your own docs and tickets, then get your workspace set up.
Turn your product knowledge into faster support answers.
Book a demo and we'll show you the AI support brain running on your own docs and tickets.