A promise nobody made
The model invented a policy.
BoldBellowsLiveChat AI automation for support teams that want help from a model without handing it the keyboard
LiveChat AI customer support automation that drafts replies, tags intent and summarizes chats while an agent approves everything a visitor sees
A LiveChat event can be marked as visible to agents only, which makes a private note the natural place for anything a model writes. BoldBellows notes the license ID, the chat ID, the thread ID and a model-run ID before any draft is made, shows the model only the messages you approve, keeps private notes out of what it reads and holds every proposal for an agent's decision, then builds LiveChat AI customer support automation around that note: when a visitor writes, the model proposes a reply from your canned responses and help content plus an intent tag from your list, when the chat ends it proposes a short summary, and each one is a validated proposal that an agent can accept, edit or discard, with the chat, thread, model run and policy version kept in one decision record.
View Pricing
From $1,655, billed once.
- Draft LiveChat replies with AI
- Intent tags and chat summaries
- An agent approves every reply
Four promises the LiveChat AI route keeps
- Private notes onlya draft never reaches the visitor
- Approved sourcesyour canned responses and help content
- Typed proposalschecked before they are stored
- One decision recordchat, thread, model run and policy
- Tested failure pathsDuplicates, late events and permission loss are exercised before launch
- No meter running$1,655 covers design, build, tests and handover; nothing accrues afterwards
01the unsupervised-bot problem
A model that answers visitors speaks for the business whether or not it is right
Put a model in front of visitors and it will promise a refund policy you do not have, guess a delivery date or answer a billing question with the confidence of a manager. The visitor reads every word as the company speaking. Inside LiveChat an agent often cannot see what the model was shown, a reopened chat can ask for the same draft twice, and a bot that is out of its depth can leave a visitor in a loop with no person in sight.
A guess about an order
A plausible date filled the gap.
A private note leaked
Internal context went into a reply.
The same LiveChat inbox, with a model that drafts and a person who decides
Before: events become proposals unchecked
- Notifications are forwarded without a check
- A bot answers visitors and nobody checks the wording
- Nobody can say what the model had read
After: events are admitted by rule
- Records are matched on a decision key made of the chat ID, the thread ID, the model-run ID and the policy version, not on names
- The model drafts into a private note and an agent decides
- Each proposal keeps its inputs, tag and policy version
02how it works
How a visitor message becomes a draft an agent can trust
Qualify first, match second, write last; that order is what stops duplicates.
- Verify and decide. The incoming LiveChat event is checked for authenticity, its identifiers are recorded, and the route decides whether the chat event qualifies.
- Admit, trim, ask. A new message passes your eligibility rule, the model is shown only approved content and returns a typed proposal for a reply, an intent tag or a summary.
- Validate, note, record. The proposal is checked against your policy, placed in the chat as a private note and stored with its evidence and the agent's decision.
The LiveChat rules and model limits we design around
- Bots are agents too. A LiveChat bot is created as an agent through the Configuration API, and a chat can be transferred between a bot and a human, so the build treats every hand-off as a change of owner that must be recorded.
- Canned responses are the source. Saved replies are wording your agents already trust, so the model is asked to build from them first and to say so when none of them fits the question.
- Recovery. Anything unclear is reconciled against the AI support workflow through a decision key made of the chat ID, the thread ID, the model-run ID and the policy version, then repaired, closed or handed to an owner.
03The deliverables
The parts of a governed LiveChat AI route, and what each one does
With LiveChat AI Customer Support in place, three layers, in order: Capture for eligibility and identity, Coordinate for the proposal itself, Audit for drift and exceptions.
CaptureCoordinateAudit
Scope filter Capture
Applies the in-scope list to every LiveChat event, so the AI support workflow sees only what you approved.
Stable identity ledger Capture
Remembers what was proposed for each LiveChat item and what a person decided, so a repeat is recognized.
Field-level filter Capture
Drops, masks or transforms each LiveChat value according to the rule written beside it.
Eligibility gate Coordinate
Tests each new message against your rule, the group it landed in and the hours you set before a model is asked anything.
Thread-and-run guard Coordinate
Keys every proposal to the thread and the model run, so a repeated delivery returns the draft already filed.
Policy and approval matrix Coordinate
Decides, by group and confidence, whether a draft is shown as a note, offered as a one-click reply or sent to a senior agent first.
Decision register Audit
Holds every difference between LiveChat and the AI support workflow with its age and its owner.
Prompt and policy drift monitor Audit
Flags a changed prompt, model version or policy before quality shifts without anyone noticing.
Repair workbench Audit
Offers a safe next action for each stuck proposal instead of a blind retry, for this LiveChat AI Customer Support service.
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04Who it's for
When agencies also have to draft replies, tag intent and summarize chats faster while an agent approves everything a visitor sees
LiveChat is where a visitor asks; a model can help your agents prepare the answer, provided a person decides what is sent.
Support lead
"Help my agents, don't replace them."
Drafts appear as private notes, so agents answer faster and still decide.
Security lead
"Know what the model reads."
Only approved messages and help content are sent, and every request is logged.
Agent
"Don't make me retype the same answer."
A draft built from your canned responses is waiting before I open the chat.
Compliance lead
"Nothing unreviewed reaches a visitor."
Replies wait for the approval step you choose.
Operations director
"I want to automate LiveChat with AI and keep control."
Eligibility, validation and approval hold the model on a short lead.
Agency owner
"Every client has its own rules."
Policies, groups and approvers are set per client license, so nothing crosses over.
05Compare
LiveChat into the AI support workflow: a draft-and-approve support route, or the usual unsupervised bot replies and zap
Each can use a model. Only one keeps the model's words out of the visitor's sight until an agent approves them.
| How a run starts | A bot that replies by itself | A basic connector with an AI step | Our draft-and-approve route |
|---|---|---|---|
| What starts the work | Staff notice and act | The first matching notification | YesEvents inside the agreed scope only |
| How identity is decided | A person recalls the customer | Nothing stored, so nothing to compare | YesChat ID, thread ID, model-run ID and policy version |
| What reaches the AI support workflow | A partial copy | One object, no relationships | YesA typed proposal, a private note and an agent's decision |
| After an uncertain result | A manual clean-up later | It repeats the write | YesCompares what exists with what was intended |
The newer state is already there
On this LiveChat AI Customer Support service, when an older event shows up after a newer one, the route notes it and leaves the confirmed proposal alone.
A visitor reopens the chat after the model has drafted a summary
The reopened chat starts a new thread, the earlier summary stays with its own thread and the model drafts again only for the new messages. The existing proposal, if any, is found by a decision key made of the chat ID, the thread ID, the model-run ID and the policy version and judged against the payload before the route decides what to do.
The first design choice is a decision key made of the chat ID, the thread ID, the model-run ID and the policy version; identity, replay and repair all follow from it.
PricingChats, proposals and approvals decide the total
Choose the parts of your LiveChat AI route, and watch the price build
The AI route for LiveChat starts at $1,655.
One setup fee · Range shown first · PDF handover included
View Pricing
Pricing
Build your LiveChat AI Customer Support price
Pick a package, answer three short questions about how LiveChat data should reach AI Customer Support, and your price and turnaround move as you choose.
06The process
Six steps from a bot that talks to AI help your agents can rely on
The route is built in six steps, and nothing moves on until the last one is signed.
Choose what the model may do
We agree which chats it may read, which proposals it may make, such as a reply, an intent tag or a summary, and who approves each kind.
Approve access
Credentials for LiveChat are issued with narrow scope, the provider is settled and the decision identifiers are agreed.
Agree content, policy and approvers
The help content the model may quote, the policy for each proposal type and the approver for each are written out and signed off.
Prove the repairs
Each failure path, from a lost reply to a rejected value, is exercised in a test the AI support workflow before the live switch.
Launch with notes
The last step is release: a defined start, a review window and a PDF you can keep.
Early-life support
Questions about how the route behaves in production are answered during the launch window, and the notes are updated.
07Turnaround
How long the AI Customer Support packages take
The timeline begins when LiveChat access, the model and the reviewers are agreed.
Capture
6 to 10 business days
Coordinate
10 to 16 business days
Audit
16 to 24 business days
08Before we start
What we ask of you
Authorization to reach the LiveChat objects in scope
A LiveChat account where you can create an app or a personal access token, plus the model service you have approved
Permission to subscribe to the LiveChat events that start the route
Agreement on which chat events are in scope for the first release
A contact who can approve changes to the field map
Names of the people who will receive the handover notes
09Security and ownership
Least access, allowlisted fields, and a clean handover
The model works on minimized LiveChat data and answers in a fixed shape, which makes every proposal checkable.
No changes to either product
LiveChat and the AI support workflow keep their own code and settings; the route sits between them and uses only what each platform documents.
Scoped, revocable access
Permissions are written down, minimal and reversible.
A short list of fields
The mapping names every field that travels. Additions are agreed in writing, not picked up automatically.
No blind replays
The route never resends on hope. It checks the AI support workflow for the proposal through a decision key made of the chat ID, the thread ID, the model-run ID and the policy version and decides from what it finds.
Minimal logging
Evidence of a run is kept as references, not as copies of data.
Full handover
The PDF names each rule, credential and owner so your admins are never guessing.
10In their words
What BoldBellows clients say
Verified reviews from operations and finance teams who trust BoldBellows to keep their data moving correctly.
AI Workflow Automation for Agencies
Running a digital agency with many clients was overwhelming. BoldBellows built one automation dashboard that tracks tasks, sends updates and creates client reports automatically.
Clients love the transparency and we love the time we get back. Productivity is up, and project delays have dropped to almost zero.
AI Customer Journey Automation
We wanted a smoother path from first contact to purchase. BoldBellows built an AI system that guides each customer there automatically.
It sends personalized messages, recommends products and follows up at just the right moment. Customer retention has improved dramatically.
AI HR & Recruitment Automation
Our HR team was drowning in applications. BoldBellows automated screening, skills-based filtering and interview scheduling.
It saves us hours every week and means we only interview qualified people. Hiring is now faster, better organized and more professional.
AI Accounting & Invoice Automation
BoldBellows automated our whole invoicing process: creating invoices, sending reminders and tracking payments.
Late payments dropped sharply, and our accounting team finally has time for strategy instead of repetitive admin. Worth every penny.
AI Data Entry & Reporting Automation
We used to spend hours collecting data and building weekly reports by hand. BoldBellows automated all of it.
The reports are clean, visual and easy to read, and our managers rely on them for quick decisions. Human error is gone and our numbers are more accurate across the board.
AI E-commerce Listings Automation
BoldBellows automated our product listings. The AI writes descriptions, organizes photos and publishes listings across several marketplaces.
It even answers customer questions instantly. Our store looks more professional and sales have noticeably increased.
AI Document & Contract Automation
Onboarding was slow because we wrote every contract by hand. BoldBellows automated the lot: contracts, welcome emails and client setup.
What took 48 hours now takes under 10 minutes, and clients regularly tell us how professional it feels.
AI Social Comment & DM Automation
We get thousands of comments and messages every week. BoldBellows built an AI system that replies instantly, filters spam and surfaces the important ones.
Engagement is up and our page looks active around the clock. It’s like having a full social media team that never stops.
AI CRM Automation
Our CRM was barely used because updating it by hand was tedious. BoldBellows automated data entry, tagging, segmentation and follow-ups.
Now the CRM is always up to date and our campaigns are far more accurate. It improved our whole sales pipeline.
AI Chatbot & Customer Support
BoldBellows built an AI support chatbot for our online boutique, and it has changed how we run the business. We used to have two full-time staff answering the same questions all day. Now the AI handles order tracking, product recommendations and even refund requests on its own.
What surprised me most is how natural it sounds. Customers compliment the ‘agent’ without realizing it’s AI. Our support workload dropped by 75% and customer satisfaction went up dramatically.
AI Content & Social Media Automation
Our marketing agency couldn’t keep up with content. BoldBellows set up an AI content engine that writes blog posts and captions and even designs our social media creatives.
It spots trends and suggests topics for us, so we stay ahead of competitors. We now produce three times the content with the same team, and engagement has soared. They didn’t just automate our workflow, they lifted our whole brand.
AI Lead Qualification & Sales Automation
Our sales team wasted hours chasing cold leads. BoldBellows built an AI lead-scoring system that reads behavior, email engagement and buying signals.
It filters out weak leads and sends personalized follow-ups automatically, so our team only talks to people who are ready to buy. Conversions rose 40% in the first month. It paid for itself straight away.
AI Video & Voice Automation
We publish product videos every week, and BoldBellows introduced us to AI video automation. The system writes the script, voices it and produces the finished video in minutes.
The quality is remarkable: professional voiceovers, clean visuals and smooth editing. Production time went from three days to under 30 minutes, and we scaled our video marketing without adding cost.
AI Email & Smart Inbox Management
Our inbox used to be chaos. BoldBellows built an AI email system that sorts messages, drafts replies and flags anything urgent.
It learns how we write and gets better every week. We reply faster and no longer miss important messages. It feels like having a personal assistant working around the clock.
AI Booking & Scheduling Automation
Our coaching business needed a better way to schedule. BoldBellows automated all of it: bookings, reminders, cancellations and follow-ups.
No-shows fell by 60% and clients enjoy how smooth it is. It feels personal, not robotic. One of the best upgrades we’ve made.
AI Translation & Localisation
When we expanded abroad we needed fast, accurate translations. BoldBellows built an AI translation system that turns our content into several languages instantly.
The translations read naturally and suit each culture. We now serve customers in five new countries without hiring translators. BoldBellows helped us go global.
AI Voice Assistant
BoldBellows built a custom AI voice assistant for our customer hotline. It answers questions, books appointments and handles simple requests.
Customers love how fast it is, and our call-centre workload dropped dramatically. One of the smartest upgrades we’ve made.
AI Automation Partner
BoldBellows is hands-down the best AI automation partner we’ve worked with. Their systems are fast, reliable and built around how our business actually works.
Every automation they’ve delivered, from customer service to content, runs flawlessly. We’ve saved time, cut costs and grown faster than we expected.
11FAQ
LiveChat and AI support: questions from teams that want control
We collected the questions that decide most purchases and answered them.
Is this just a prompt behind a LiveChat webhook?
Need only a model that answers visitors? A zap handles that. It stops short of the work to keep a model on a short lead, with every proposal checked and approved by an agent. That missing layer is what you are paying for.
Can the AI answer visitors without an agent?
No. The model returns a proposal that reaches an agent as a private note, and nothing is shown to the visitor until the agent sends it.
What does a LiveChat AI integration need from our account?
An app or personal access token limited to the scopes for reading chats and adding private notes, plus tagging if you choose it, and nothing broader.
What does the model read?
Only the visitor's messages and the approved help content for that chat. Private notes, other chats and payment details stay out.
How is a reopened chat handled?
A new thread starts under the same chat ID, so proposals are keyed to the thread and an old draft is never offered for a new question.
Can the model tag a chat?
It can propose an intent tag from your list. The tag is applied to the thread only after an agent confirms it.
Which model is used, and can we change it?
The one you approve. Its name and prompt version are stored on every decision, so a later change is visible and reversible.
How is the model's view of LiveChat kept small?
A field map is standard. It records the role of every LiveChat field in the AI route and removes the ones the model does not need.
Can we add rules later?
Yes. Approval can be automatic for low-risk proposals and manual for the rest, from $1,655.
Who handles a change to the LiveChat API?
The handover lists every interface the route uses. If one changes, the affected item stops and is flagged instead of being written from a guess. Repairs after your review window are quoted separately.
Next stepLet a model draft the answer and keep your agents in charge
Give your inbox AI help with a person in charge
One signal, one proposal type, one approver: that scopes the first LiveChat AI route, from $1,655.
- From $1,655, paid once
- Agents approve
- Evidence kept
- No monthly fee from us
Unusual volumes or extra systems are quoted on request.