AI Assistant

The operational AI layer
for support teams.

Ticket summaries generated automatically. Churn signals flagged in real time. Account context, suggested replies, and next actions surfaced directly inside the conversation. Helply’s AI Assistant helps your team resolve more with less manual work.

The operational AI layer
rumble
portrait
mybaggage
paytrap
zulu
todayapp
proposify
etf
covidence
tads
booking-koala
streetfoodfinder
kami
kickbase
wise-agent
kindwise
testbirds
zetpy
kapwing
fund-easy
inner-circle
vinosmith
customerhub
camcloud
median
lingq
cast
socialtalent
oplacrm
simplefocus
unsplash
plato
infrakit
kulturra
xeropan
mailbutler

How the AI Assistant works.

Summarizes tickets and conversation history screenshot
01.

Summarizes tickets and conversation history

Long thread? Reopened ticket? Multi-day Slack escalation? The Assistant produces a one-paragraph summary the moment your agent opens the conversation. Plus the timeline, the resolution attempts already made, and the open questions still on the table. Your team picks up where the last person left off in seconds, not minutes.

Surfaces customer and account context inline screenshot
02.

Surfaces customer and account context inline

Plan tier, ARR, renewal date, last 5 product events, open Stripe issues, last AE call transcript: all loaded into the side panel before your agent reads the ticket. The Assistant pulls from your CRM, billing, product analytics, and call recordings, not just the helpdesk. No tab-switching to figure out who you’re talking to or why.

Suggests replies, next actions, and workflows screenshot
03.

Suggests replies, next actions, and workflows

A draft is waiting in the composer, in your team’s tone, with citations to the KB and past tickets. Beyond the reply, the Assistant suggests the operational moves a senior teammate would make: “Loop in CSM (renewal in 18d),” “Add Stripe credit ($120 for SLA),” “Run the seat-provisioning workflow.” Click to take the action, decline to skip.

Detects churn and escalation risk in real time screenshot
04.

Detects churn and escalation risk in real time

The Assistant scans every inbound message for risk language, pricing pushback, plan-limit hits, and competitor mentions. When a signal fires, it flags the ticket, surfaces the underlying account context, and tells the agent the suggested play (escalate to CSM, route to AE, run a save plan). Your team stops finding out at the QBR.

Retrieves the right knowledge instantly screenshot
05.

Retrieves the right knowledge instantly

Across your KB, past resolutions, internal runbooks, and Slack threads. The Assistant cites its sources inline so your agent can verify before sending. If the answer isn’t in any source, it says so plainly instead of inventing one. The retrieval gets sharper with every resolved ticket.

Resolve more, manually less.

Better decisions, more consistency, every conversation.

See AI Drafts

Why an internal AI layer beats a chatbot bolt-on.

01
It works alongside humans, not instead of them.

The Assistant doesn’t replace the agent. It sits behind every reply they send: summary, context, suggested action, retrieved knowledge. The tickets that need a person still get one, with a faster, more consistent answer.

02
It runs inside the helpdesk, not in another tab.

Drafts in the composer. Context in the side panel. Suggested actions one click away. The Assistant gives reps the operational layer they need without forcing them to switch between Helply, the CRM, the billing dashboard, and an LLM tab.

03
It compounds with every ticket your team resolves.

Every approved draft, every escalation taken, every action applied teaches the model what your team would do. The Assistant gets sharper, more on-brand, and more useful the longer it runs. No retraining engagement required.

What our customers are saying.

See customer stories
Sender.net

"Support used to be a cost line. Helply turned it into our most reliable signal, every onboarding question routes back to product the same week."

Edgaras Vaitkevičius
CEO at Sender.net
Read story
Covidence

"We support thousands of users a month and quality is everything. Helply now handles around 30% of our total volume automatically."

Razia Aliani
Senior Systematic Reviewer
Read story
Proposify

"We’re a lean team, so doing more with less is non-negotiable for us. Helply consistently resolves 30–35% of conversations for us."

Jacqueline Antworth
Director of Customer Experience
Read story
Kameleo

"Keeping our docs accurate used to be a constant struggle, with no way to measure impact. Helply changed all of that overnight."

Tamas Deak
Founder at Kameleo
Read story
AirGigs

"Airgigs is a two-sided marketplace, so support has to be fast and accurate. Helply has taken a significant amount of repetitive questions off our team’s plate..."

David Blacker
Founder at AirGigs
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Gatekeeper Press

"Helply has fundamentally changed how we communicate with our authors. We’ve handled over 1,400 conversations with a 91%+ resolution rate, and the answers..."

Rob Price
CEO & Founder
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LingQ

"LingQ has a powerful product, but for new users it can be overwhelming. Helply has been a game changer for onboarding."

Zoran Simicic
Head of Customer Support
Read story
MixWave

"We’d invested heavily in building a strong knowledge base, but we were still seeing a steady stream of repetitive questions coming through support."

Ernie Slenkovich
Vice President of Operations
Read story
MyBaggage

"Getting started with Helply was effortless thanks to the hands-on, one-to-one onboarding. The setup helped us uncover knowledge gaps in our existing support content..."

Anthony Gallagher
Head of Customer Support
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StaffTraveler

"For us, Helply isn’t about replacing human support. It’s about being available when our team isn’t. We handle around a thousand tickets a month, and Helply gives our..."

Laurens Maarschalkerweerd
Founder at StaffTraveler
Read story

Turn AI support into a
revenue engine.

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