AI customer support for SaaS ✦

Zens AI

Support that never sleeps

Answer website and in-product questions around the clock, identify customers, and capture recurring feedback. A conversion copilot for independent developers.

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AI support performance

8,450resolved

Last 30 days+18.4%−9% handoffs

Conversation health

AI resolved8,450

Human handoffs1,284

Waiting32

Recent conversations

Time	Visitor	Topic	Status
10:42	Acme	Team permissions	AI drafting
10:31	Northstar	Security review	Resolved
10:18	Kite	Workspace setup	Resolved
09:56	Orbit	Billing limits	Assigned

Live product walkthrough · about 13 seconds

How AI customer support works

From the first question to verified context, grounded answers, human review, and product follow-through. Every step keeps its evidence and controls.

Jane · Northstar

Signed-in customer · Viewing pricing

Customer conversation

Today · 10:42

Will AI replies be sent to customers automatically? We want to review them first.

Jane · 10:42

Zens AIQuestion

Assembling customer context and product evidence…

No. This workspace uses review-first mode. AI prepares a draft, and the customer receives it only after your team approves and sends it.

Grounded in 2 product sources · 94% confidenceSend

Question resolvedAdded to “Reply controls” · 6 similar conversations

Add context or adjust the reply…

See what a support lead can dowith Zens AI

Catch identity, intent, risk, and the next team action inside every conversation.

Your agent

Zens AI workspace agent

connected

Find the three questions high-intent accounts asked most often in the last 7 days.

ZensAI successfully loadedDone

find_toolssearch_conversations

describe_toolcreate_product_brief

execute_toolcontext assembled

High-intent accounts are stuck on three issues

Seat limits and trial upgrade rules are unclear for 12 accounts.
8 accounts asked how to identify signed-in users after SDK install.
Teams need clearer control over whether AI drafts are sent automatically.

Ask a follow-up about this customer signal...

Product overview

See how Zens AI turns support into product progress

In 33 seconds, follow the loop from repeated questions and customer context to prioritized product work for Codex, Linear, Slack, and GitHub.

The real bottleneck

Support breaks when feedback cannot move

Zens AI starts from the painful moments that block SaaS growth: repeated support work, delayed replies, buried feedback, and a loop engineering system without enough user evidence.

What Zens AI changes

Every support conversation becomes product fuel

Capture the question once, answer faster next time, cluster the feedback, and hand the evidence to product, engineering, Codex, Slack, Linear, or GitHub.

Repeated answers drain support time

The same pricing, setup, login, and integration questions keep coming back, and teammates lose hours repeating answers that should already be captured.

Support time is spent on repetition instead of high-value users.

No one can answer every moment

When the team is away from the computer, high-intent visitors wait too long, lose momentum, and leave before a paid conversion can happen.

Slow replies turn purchase intent into missed revenue.

Feedback does not become requirements

Bugs, objections, and feature requests stay buried inside conversations instead of becoming clear product requirements with evidence and owner context.

Product teams miss the signals users already gave them.

The loop engineering system never closes

Without a steady user feedback layer, teams cannot build a self-iterating loop engineering system across support, product, engineering, and agents.

Every iteration starts from opinion instead of customer evidence.

Agent actions

Give support agents the ability to act

Zens AI turns in-product support into a searchable, clusterable, handoff-ready context layer, so teams and agents can start from real customer problems.

From conversation to implementation

Start coding agents with customer evidence

Zens AI packages repeated feedback into a brief with affected routes, reproduction details, and acceptance criteria.

Zens action runner

Codex

Ready

Customer signal

5 conversations report the same signed-identity failure

Search conversations

5 matching reports

Assemble evidence

/auth and /docs/install

Define acceptance

3 checks included

Codex

Implementation brief ready

Supported services

Everything a support loop needs

From identity to conversation summaries, from product feedback to Codex tasks, Zens AI turns real in-product problems into workflows your team can move forward.

Identity — 4 services

Signed user

Verify signed-in users and anonymous visitors

Account traits

Plan, role, lifecycle, and workspace context

Session timeline

Pages, events, and recent product behavior

Permission scope

Trim context by team role

Support — 5 services

AI inbox

Keep questions and account signals together

Live handoff

Attach summaries when handing off to a human

Reply drafts

Generate reviewable replies from trusted context

Help draft

Turn repeated questions into help content

SLA signals

Spot delay, escalation, and account risk

Feedback — 8 services

Bug themes

Cluster issues that block product use

Feature requests

Keep real requests with account evidence

Pricing objections

Find doubts before conversion

UX friction

Reveal page and flow blockers

Collaboration — 6 services

Codex brief

Move into implementation with evidence

Multica context

Give team agents customer background

Slack handoff

Push key conversations into channels

Linear issue

Create tasks with acceptance criteria

GitHub issue

Carry fix scope and evidence into GitHub

Weekly report

Summarize the team report automatically

Data — 5 services

Event stream

Connect product events and page context

Page context

Know where users ask for help

Revenue traits

Use plan and account data safely

Segment exports

Sync to analytics and growth systems

Workspace search

Search themes and customers across conversations

Security — 6 services

Signed identity

Prevent forged account context

Role controls

Limit visible fields by team role

Audit log

Record who viewed or exported data

No training

Keep customer conversations out of model training

Core capabilities

Why choose Zens AI

It is not another inbox for support. It turns customer context into a safe working layer for agents, product teams, and the rest of your company.

Zens AI capability

Unified identity

live

Context graph

visitor.anonymous_idanon_8372

user.idusr_2481

account.planGrowth trial

current.page/pricing

verified

summarized

actionable

How it works

Connect your support agent in three steps

You do not need to rebuild team workflows. Identify the user, connect the conversation, then send the insight to the engineering and collaboration tools you already use.

Register a site

Create a workspace, receive a site ID and signing secret, and decide which user fields are allowed in support context.

site: zens.ai
identity: signed
mode: review-first

Install the snippet

Add the SDK to your product, then sync user, account, plan, and current page after login.

<script src="https://zens.ai/sdk.js" />
Zens.identify(user, account)

Connect the team

Send repeated questions, human handoffs, and product briefs into the tools your team already uses.

Codex brief -> Linear issue
Slack handoff -> Support lead

FAQ

Frequently asked questions

How is Zens AI different from a regular live chat tool?

Zens AI is more than a chat window. It brings user identity, account state, current page, product events, and conversation history into one trusted context layer, so support replies, product feedback, and agent tasks all work from the same evidence.

Which teams is Zens AI built for?

Zens AI is built for SaaS teams that want support conversations to drive product improvements, especially founders, support leads, product managers, growth teams, and engineering teams adopting agent workflows.

Will AI replies be sent to customers automatically?

Review-first is the default. AI can draft replies, summaries, and recommendations, while your team controls what can be automated and what must be approved by a human.

Can Zens AI connect to Codex or other agent workflows?

Yes. Zens AI can turn repeated feedback into Codex-ready briefs and send context to Slack, Linear, GitHub, Multica, or other team agents.

Will customer data be used for model training?

Customer conversations are not used for model training by default. Zens AI emphasizes signed identity, role controls, private fields, and data minimization so agents only receive the context needed for the task.

Zens AI is readyfor your support agent

Use real customer context to drive replies, summaries, product improvements, and Codex tasks, turning every conversation into the next iteration.

Start free