Resolve tickets faster with an AI Knowledge Base.

Wavebase unifies ticketing, search, and content so customers find answers instantly—and your helpdesk closes more tickets with less effort.

Wavebase Demo
Tickets
Ticket
Cloud Account Baseline Hardening - New AWS Account
Status
OPEN
Priority
MEDIUM
Assignee
Hilma Heidenreich (Safety Officer)
Suggested Reply

Wavebase suggests: "Enable S3 Block Public Access at account level and verify bucket policies. See KB: Security > S3 Hardening (Rev 3)."

Prioritize, assign and resolve faster with AI-suggested answers. • Auto rotate: on

Why teams choose Wavebase

AI Knowledge Base

Hybrid search + AI citations deliver precise answers from your policies and runbooks.

Inbuilt Editor

Update content directly in Wavebase—no more attachments or version chaos.

Auto Tags & Summaries

New content is auto-tagged and summarized so search just works across your KB.

AI Revision Loop

Wavebase learns from tickets and suggests edits to reduce repeats and deflect cases.

ROI Estimator

Estimate monthly savings from fewer tickets and faster resolutions with Wavebase.

1,200
$45
18 minutes

Your Monthly Savings

Tickets Deflected
360
Hours Saved
284 hrs
Estimated Savings
$12,798

Assumptions: 30% fewer tickets via self-serve; remaining tickets and content edits are 70% faster with Wavebase.

From upload to answers—automatically

Step 1 Upload & Draft

Drop in DOCX/PDFs or paste content. Wavebase drafts title, summary, body and tags.

Step 2 Publish to KB

Click publish to index with hybrid search and embeddings. Ready for instant answers.

Step 3 AI Improvement Loop

Wavebase analyzes tickets and suggests edits so articles answer recurring questions.

Step 4 Faster Resolution

Agents get suggested replies with citations; customers self-serve more—fewer tickets, faster SLAs.

Outcomes for Support & Success Teams

Wavebase focuses on what matters: fewer tickets, faster SLAs, and happier customers.

Deflect repetitive tickets with AI answers and better articles

Cut resolution time with suggested replies and citations

Keep content fresh with the AI improvement loop

No more attachments—author in the built-in editor

Search that works: hybrid BM25 + vector embeddings

Clear ownership, revisions and effective dates

Ready to reduce ticket volume?

Book a 15-minute walkthrough of Wavebase.

Frequently Asked Questions

  • Most companies can experience with our product with a subset of their data and view immediate results. We can then estimate the migration based on the amount of data and how it is currently stored in your organisation.

    What this means for you: You see value almost immediately, with early wins that build momentum for broader transformation.

  • We follow enterprise-grade security protocols and are compliant with leading privacy and confidentiality standards. You can consult our security page for more information.

    What this means for you: Your client data is protected at the highest level, which is critical for maintaining trust.

  • Absolutely. Many companies begin with a limited pilot in one team or office.

    What this means for you: You can validate ROI in a low‑risk environment before scaling across the company.

  • Wavebase uses hybrid retrieval: combining BM25/FTS with vector similarity search. This blend gives strong keyword recall and semantic relevance across titles, summaries, body content and structured steps.

  • We combine structure‑aware chunking (sections, steps, tables) with hybrid fusion and document‑focused expansion when results cluster on a single source. Answers are grounded with citations that include section/step and effective date. A reranker (Phase 2) further improves precision while keeping costs low.

  • Our estimator models two drivers: ticket deflection from better search and articles (default 30%), and time saved on remaining work (default 70% faster to answer tickets and edit content). You can tune inputs like tickets/month, people, minutes/ticket and hourly cost to project yearly savings.