Support OS for ops leads
Stop guessing why AI gets
your replies wrong.
Built for ops leads who've tried every AI reply tool and still end up rewriting everything. Work Hat tells you why.
No credit card. No noise. We review every request.
How it works
A support command center that shows its work
Inspired by focused product systems, this demo frames the whole support loop: triage, AI guidance, human edits, and QA intelligence in one connected operating surface.
Northstar Home
Urgent: order still shows label created
AI confidence
Yellow
Nina Patel
09:08Hi team, my order still shows "label created" and the last agent said it should move today. I need a real update because this is for a client install.
AI draft
Human-approved reply, not auto-send
Thanks for your patience, Nina. I can see the order is still awaiting carrier movement, and I do not want to promise a delivery time until we confirm the latest checkpoint.
Current chapter
Inbox becomes an operating picture
Every conversation arrives with owner, risk, contact context, and the exact AI confidence posture your team should trust.
4 high-risk
threads surfaced
01
Email in. Context assembled.
Inbound email via our Gmail connector gets matched to the contact and company. Advanced intent classification enables instant skill-based routing before anyone opens the thread.
02
AI drafts using what it actually knows.
The draft is built from 5 layers: your system behavior, org policy, knowledge base snippets, conversation history, and a structured output schema. Confidence score and risk flags are always surfaced — never hidden.
03
Agent edits. Everything is captured.
When your team modifies the draft and sends, Work Hat runs a 3-step analysis: word-level diff, heuristic classifier, LLM verification. Edit type (tone, policy gap, factual error, full rewrite) and intensity score are stored permanently.
Features
Built for the ops lead who runs the whole support system
Context-aware AI drafts
Every draft reads the full customer history, company tier, account owner, and your org policy. Not just the last message.
Edit analysis & Self-learning
3-step analysis on every send: diff → heuristic classification → LLM verification. Corrections feed into a self-learning panel dynamically.
AI improvement dashboard
Acceptance rate, edit intensity, edit reason breakdown, and QA queue — all built from real send data. Not a guess.
Knowledge base & Global Search
Policy docs, SOPs, tone guides — stored, versioned, and retrieved by fast, global search query handling on every single draft.
Intent classification & Skill-routing
Every thread is automatically categorized by intent with dynamic UI pills, enabling skill-based routing before anyone opens the thread.
Deep Platform Integrations
Plug directly into Gmail and handle your support flow smoothly with robust org-level security guards and unlimited human seats.
Early access
Join the waitlist
Work Hat is in early access. We review every request and onboard teams that are serious about measuring AI quality in their support operations.