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Botpress AI support agents for teams that need answers they can stand behind

Botpress AI customer support agent automation that answers from your knowledge bases, uses only permitted tools, is tested before publishing and hands over with the history

Every Botpress agent starts with an Autonomous Node in its main workflow, where a language model decides what to say and which tools to use, so the quality of a support agent rests on the instructions it is given and the tools it may touch. BoldBellows records the conversation ID, the channel and the bot version that answered before a reply is drafted, answers only from the knowledge bases it may search and hands over with the history when it should not decide, then writes the node's instructions around your policies, gives it only the tools a support question needs, such as a read-only order lookup, ties each topic to the knowledge base meant for it, adds exit conditions so a conversation can end or escalate, and tests the result in the built-in test chat before publishing. The Monitor section keeps every conversation with a JSON record of each message, so what the agent did can be read back.

View Pricing

From $925, paid once. Build a Botpress support agent.

Botpress AI customer support agent automation that answers from scoped knowledge bases uses only permitted tools is tested in the built-in test chat before publishing and hands over to a person with the conversation history, built by BoldBellows

The guarantees behind the Botpress AI workflow

  • Answers from your sources scoped knowledge bases
  • Tools on a short list read-only where possible
  • Tested before publish test chat and emulator
  • Handoff with history nothing repeated
  • No lock-in The configuration stays yours if you stop working with us
  • No meter running $925 covers design, build, tests and handover; nothing accrues afterwards

01 · the confident-guess problem

An agent that sounds sure is the riskiest kind

A language model answers fluently whether or not it is right. Left to itself, a support agent quotes a refund rule that changed last quarter, promises a delivery date it cannot see and handles an angry customer in the same cheerful tone as a simple question. A change to its instructions that fixes one answer can quietly break another, and the team learns about it from a complaint. When it does need a person, the person receives a customer and no context, so the customer starts again.

A confident wrong answer

General knowledge replaced your policy.

A promise nobody approved

The agent could do too much.

A fix that breaks another answer

Nothing was tested first.

Before Botpress to AI workflow automation: manual messages exports, duplicates and broken formulasThe old way: a terminal log full of duplicate, #REF! and failed export errors, and a note to rebuild it again on Monday.export_run.log[WARN]duplicate row 214 (#1042)[ERR ]#REF! in Reports!C9[FAIL]messages_export_FINAL_v3.csv[WARN]queue count differs by 3[ERR ]status change 1039 not found[WARN]file 37 of 37 unmerged[ERR ]formula broke in row 88[FAIL]monday export late 3 days[WARN]duplicate row 214 (#1042)[ERR ]#REF! in Reports!C9[FAIL]messages_export_FINAL_v3.csv[WARN]queue count differs by 3[ERR ]status change 1039 not found[WARN]file 37 of 37 unmerged[ERR ]formula broke in row 88[FAIL]monday export late 3 days$MON 8:47rebuild again!
Before the copy drifts from Botpress
  • The same change can land more than once
  • The agent answers from whatever the model remembers
  • Changes ship without a test
After Botpress to AI workflow automation: one clean workflow that matches BotpressThe new way: a steady locked waveform with readouts for match 100%, zero duplicates, latency and proposal count.SIGNAL · LOCKEDIN SYNCMATCH100%DUPES0LATENCY1.2sPROPOSALS1,204
After a record you can trust
  • What is already there is found by a reference made from the conversation ID, the message ID, the knowledge base and the model run
  • The agent answers from sources you chose
  • Every change is tried first and every conversation can be read back

02 · how it works

How a customer question becomes a grounded answer or a documented handoff

For Botpress AI Customer Support Agent, what reaches the AI workflow has passed a rule, a key check and a search.

How Botpress to AI workflow automation works: messages in, one clean proposal each, on a scheduleYour Botpress bot chip sends data through read-only traces to the BoldBellows sync chip, which checks on a schedule and writes to your AI workflow chip with zero duplicates.Your Botpress botread-only accessBoldBellows syncchecks on a scheduleYour AI workflowin your AI workspaceREAD-ONLY0 DUPLICATESCHECKS ON A SCHEDULESYNCLIVEHow Botpress to AI workflow automation works: messages in, one clean proposal each, on a scheduleYour bot, the sync, your workflow.Your Botpress botread-only accessBoldBellows syncchecks on a scheduleYour AI workflowREAD-ONLY0 DUPES
  1. 01

    Open the event properly

    Identifiers and time are recorded, the source state is read and the Botpress event is assessed against the route brief.

  2. 02

    Search, check, answer

    The question triggers a search of the knowledge base meant for the topic, the answer is checked against the passage, and the reply goes out.

  3. 03

    Act, escalate, review

    Allowed tools run, hard cases go to a person with the history, and the conversation is saved for review.

Behavior we rely on in Botpress and in the model

  • Knowledge is scoped, not dumped

    The default Search Knowledge card searches every knowledge base, and its list of included knowledge bases can be narrowed, so a support agent reads only the sources meant for the question.

  • Secrets stay out of instructions

    Keys and tokens sit in configuration variables and are referenced through env, so none is ever typed into a prompt or written to a log.

  • Safe to repeat

    Repeating an event is harmless because the AI workflow is consulted through a reference made from the conversation ID, the message ID, the knowledge base and the model run before any change.

03 · what ships in the build

Inside the support agent: the parts that search, check and hand over

Clear is the minimum for live use; Careful and Continuous add the parts that matter once volumes grow.

What lands in your workflow: messages, queues and reports from BotpressQueue queue in AI workflow as a heat matrix: seven flows by seven days, brightest where queue is full and orange where it is low.STATUS HEAT · 7 DAYS2 LOWMonTueWedThuFriSatSunWelcome70907070909035Welcome359070100903520Message7050352090100100Receipt2090707010010090Promo100359020902020Survey request20353590207050Shipping alert709035903510050lowfull

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Entry rule checker

Tests every event against the entry rule and records which clause it passed or failed.

Clear

Stable identity ledger

Writes the inputs, evidence and approval for each Botpress proposal to a ledger your team can search.

Clear

Redaction rules

Applies redaction rules for sensitive Botpress values before anything leaves for the AI workflow.

Clear

Knowledge selector

Chooses which knowledge base answers the question and which stay out of it.

Careful

Conversation matcher

Classifies each arrival against a reference made from the conversation ID, the message ID, the knowledge base and the model run, leaving ambiguity to a named owner.

Careful

Tool and exit matrix

Decides which tools are allowed and when the agent must stop and hand over.

Careful

Conversation register

Turns silent drift between Botpress and the AI workflow into a short, dated worklist.

Continuous

Instruction regression check

Reruns a set of test questions before each publish.

Continuous

Open-case summary

Gives the route owner a short summary of open cases and their ages.

Continuous

04 · who it's for

For public services, then for those who build a Botpress support agent that answers from the right knowledge base, uses only the tools you allow, is tested in the built-in test chat before it is published and hands over to a person with the history

Customers want a correct answer fast, and support leaders want proof that the agent gives one.

Customer

"Give me a right answer."

It comes from your policy.

Support lead

"Fewer repeat questions."

The agent resolves the routine ones.

Owner

"Don't promise things."

The tools are limited.

QA lead

"Prove it works."

Test questions and reviews show it.

Developer

"Change safely."

Changes are tried in the test chat first.

Escalation agent

"I am picking this up cold."

The conversation arrives with me.

Priced by questions, answers and handoffs

Cost your support agent, one guardrail at a time

Packages start at $925.

View Pricing
  • One setup fee
  • Range shown first
  • PDF handover included

05 · compare your options

A chatbot that answers from whatever the model remembers, zap or a Botpress support agent with scoped knowledge and tools: which carries Botpress into the AI workflow?

Each can chat. Only one answers from approved sources, limits its tools and tests before it ships.

Comparison table: A chatbot that answers from whatever the model remembers, zap or a Botpress support agent with scoped knowledge and tools: which carries Botpress into the AI workflow?
How a question startsA scripted botA generic chatbotOur grounded support agent
What starts the workSomebody with a spare minuteEvents without a qualification stepA Botpress event matching the route brief
How identity is decidedHunted through both toolsEmail aloneOne reference: conversation ID, message ID, knowledge base and model run
What reaches the AI workflowWhatever seemed importantOne row of raw valuesA grounded answer with its source, or a handoff with the history
After an uncertain resultLeft for the next personReports an error, nothing moreSearches, compares, repairs or hands to a named owner
By handstops to export, copy, paste, fixAutomatedno stops · every 15 minutes

Late event, settled state

A notice that arrives after the Botpress record has moved on is logged and closed; the proposal in the AI workflow stays correct.

A policy changes on Monday morning

The knowledge source is updated or re-crawled, the test questions rerun against the new policy, any failing answer is fixed before publishing, and customers never hear the old rule. The verdict comes from a reference made from the conversation ID, the message ID, the knowledge base and the model run: absent, matching, differing or ambiguous, all recorded. The result is recorded either way, so the decision can be audited.

A reference made from the conversation ID, the message ID, the knowledge base and the model run goes in first, then the mapping, then the branches.

Pricing

Build your Botpress AI Customer Support Agent price

Pick a package, answer three short questions about how Botpress data should reach AI Customer Support Agent, and your price and turnaround move as you choose.


Choose your packageRequired

The three packages differ by how much routing, reconciliation and governance sits around the Botpress to AI Customer Support Agent route.

A focused production route for one Botpress event family and one governed support agent queue, delivering Botpress AI customer support agent automation that answers from scoped knowledge bases, uses only the tools you allow, tests every change in the test chat and hands over to a person with the conversation history with identity, evidence and failure controls from day one.

  • One approved Botpress event family and business-state admission rule within the Botpress AI Customer Support Agent service.
  • One authorized account, workspace, organization, or base boundary within the Botpress AI Customer Support Agent service.
  • One AI Customer Support Agent object contract with field and relationship mapping
  • Stable matching through Botpress workspace plus bot, conversation, user, message, execution, integration, or event ID and source identity paired with the authoritative ai customer support agent record, execution, conversation, transaction, or decision identifier
  • Tests for duplicates, stale events, malformed data, denied access, and timeouts within the Botpress AI Customer Support Agent service.
  • Implementation map, test record, and premium PDF operations handover within the Botpress AI Customer Support Agent service.

Adds branching, existing-record matching and a bounded historical pass for teams whose Botpress signals need more than one approved support agent path, while still delivering Botpress AI customer support agent automation that answers from scoped knowledge bases, uses only the tools you allow, tests every change in the test chat and hands over to a person with the conversation history.

  • Everything in Core
  • Up to four approved routing or state-transition branches within the Botpress AI Customer Support Agent service.
  • Existing-record resolution and one bounded historical checkpoint within the Botpress AI Customer Support Agent service.
  • Lookup-before-replay protection for uncertain writes
  • Named exception ownership and a decision-ready evidence packet within the Botpress AI Customer Support Agent service.
  • Field, permission, and destination-state validation before mutation within the Botpress AI Customer Support Agent service.

Adds reconciliation, drift detection and an aged-exception report for teams that now depend on support agent proposals every day.

  • Everything in Managed
  • Scheduled source-to-destination reconciliation
  • Schema, field, scope, and webhook drift checks within the Botpress AI Customer Support Agent service.
  • Volume-aware retry ceilings and stale-event protection
  • Aged-exception reporting with ownership status
  • Thirty-day release watch and operating review

In this Botpress AI Customer Support Agent design, multi-business-unit routing, unrestricted bidirectional synchronization, regulated archives, unsupported extensions, or additional destination systems receive a separate written quote. Third-party subscriptions and usage charges are excluded.

Which Botpress changes should be allowed to start an AI support agent decision?Required

Governed lifecycle set: Use this when several documented Botpress states must converge on one support agent decision.

How should a Botpress record that already has an AI support agent decision be recognized?Required

Ambiguity queue: Send zero-match and multi-match support agent cases to a named reviewer instead of letting the model guess.

What should happen when an AI support agent action can't be confirmed?Required

Managed repair case: Give every uncertain support agent action an owner, a live-state comparison and an approved replay decision.

How soon do you need it live?Required

Standard follows the schedule your other choices set. Pay to move up the queue and go live sooner.

Optional extrasOptional

Each one begins switched off. Turn on what your rollout needs, watch the total, switch it back off.

06 · process & getting started

Six steps from a chatbot to a grounded support agent

No surprises: six steps, with the output of each one agreed in advance.

  1. Step 01

    Gather the sources

    We collect the help center, policies and product facts and decide which documents are the single source of truth.

  2. Step 02

    Approve access

    Limited rights to Botpress, a model connection you control and a written approval path are in place before the build starts.

  3. Step 03

    Agree the guardrails

    What the agent answers, which tools it may use, when it escalates and what it must never say are written out and approved first.

  4. Step 04

    Prove it on a copy

    Every path, including the failing ones, is run against a copy of the AI workflow before production is switched on.

  5. Step 05

    Launch with notes

    The last step is release: a defined start, a review window and a PDF you can keep.

  6. Step 06

    Live check-in

    On this Botpress AI Customer Support Agent service, we compare live behavior with the brief and update the handover wherever reality differed.

Handover for Botpress to AI workflow automation: notes, a checked run and a health checkHandover timeline: brief, map, build, test and hand over, five steps in a proposal with the current one lit.MISSION TIMELINE1BRIEF1 page2MAPfields3BUILDsync4TEST48 events5HAND OVERPDF packFrom first brief to a workflow that runs itself

07 · turnaround

How long the AI Customer Support Agent packages take

Timing starts as soon as Botpress access and the model connection are in place.

Clear

6 to 10 business days

Careful

10 to 16 business days

Continuous

16 to 24 business days

08 · before we start

What we ask of you

  • Authorization to reach the Botpress objects in scope

  • A Botpress workspace and bot, your help center and policies in a readable form, and a named person for each escalation topic

  • Approval to read the Botpress fields listed in the map

  • Your current manual steps for this Botpress event, so we can match them

  • Who signs off the handover notes at the end

  • A backup contact for approvals

09 · security and ownership

Secure by being small: few fields, few permissions

Scoped access to Botpress, a minimal prompt and an approval gate mean the model advises and your rules decide.

Read-only Botpress to AI workflow access: your data stays yoursA glowing shield with a tick at the centre of rings, with read-only lines in and named-people lines out, keeping your data yours.READ-ONLYYOUR ACCOUNTNAMED PEOPLEYOUR DATA STAYS YOURS

Only what the platforms allow

Every action taken in Botpress and the AI workflow is one their own documentation supports; nothing relies on an unofficial shortcut.

Scoped, revocable access

Permissions are written down, minimal and reversible.

A deliberately small payload

Keeping the payload small reduces risk and makes each write to the AI workflow faster to check and easier to repair, in the Botpress AI Customer Support Agent service.

Reconcile, do not resend

A retry reconciles what the AI workflow already holds against what was intended, then writes only the difference.

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.

10 · verified reviews

What BoldBellows clients say

Verified reviews from business owners who use BoldBellows automations every day, from marketing and sales to support and operations.

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.

Samuel BoatengVerifiedAccra, Ghana

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.

Nadia HassanVerifiedCairo, Egypt

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.

Maria GonzálezVerifiedMadrid, Spain

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.

Daniel BrooksVerifiedToronto, Canada

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.

Aisha MohammedVerifiedDubai, UAE

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.

Lucas SteinerVerifiedMunich, Germany

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.

Chloe AndersonVerifiedMelbourne, Australia

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.

Emily CarterVerifiedLondon, United Kingdom

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.

Kenji NakamuraVerifiedOsaka, Japan

11 · questions

Botpress support agents: what support leaders ask

We collected the questions that decide most purchases and answered them.

PriceTimeAccessHandover?Every question, answered
Is a Botpress AI step in Zapier or Make enough?

A zap delivers customers answered correctly on your website and messaging channels, with a person ready for the hard cases. It leaves you to answer from approved sources, limit what the agent can do or test a change before customers see it. It is that layer the packages price.

Does the agent answer from general knowledge?

Not for company questions. Its instructions and knowledge bases limit it to the sources you chose.

How do you test changes?

With a fixed set of test questions run in the test chat and the emulator before every publish.

Can it take actions?

Yes, only the tools you list, such as a read-only order lookup.

What does the person receive on handoff?

The conversation history and a short summary.

How do you measure quality?

By reading saved conversations and tracking resolution and handoff counts.

Which channels work?

Webchat and any channel Botpress supports, such as WhatsApp or Telegram.

Is the Botpress field list reviewed with us?

It is included. We list the Botpress fields in scope and decide which are shown, which are masked and which are never sent.

Can we limit which Botpress changes qualify?

Yes. The approval path, the proposal types and the escalation rules are written for your team, from $925.

Who owns the route after handover?

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. Related searches this service covers include custom botpress ai customer support agent automation.

Put a support agent in front of customers that you can prove is right

Give your customers answers they can rely on

Pick one Botpress signal to start with. We build the route, prove it and document it, with Clear from $925.

Unusual volumes or extra systems are quoted on request.