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Bird AI chatbot automation for teams that talk to customers on several channels

Bird AI chatbot automation that answers from approved knowledge on WhatsApp, SMS and email, acts only within set limits and hands over with the context a person needs

A scoped assistant answers from an authorized record, never from the wording of an earlier message, and passes the goal, the order and the steps it tried to a person whenever a request sits outside its authority. BoldBellows records the contact, the channel and the knowledge version before a reply is drafted, checks suppression and opt-in first, then replies once, within the channel's rules, then finds the answer in your approved knowledge, confirms who is asking before it reads anything private, drafts a short reply for the channel in use, performs only the actions you have allowed, such as checking an order status, and sends the rest to a named person in your support queue. Outside the WhatsApp service window the assistant switches to an approved template.

View Pricing

From $1,470, paid once. Automate Bird AI replies.

Bird AI chatbot automation formerly MessageBird that answers customers on WhatsApp SMS and email from approved knowledge takes only permitted actions and hands over to a person with the goal and the steps already tried, built by BoldBellows

What a governed Bird AI route has to prove first

  • Approved facts only knowledge versioned
  • Identity first before private data
  • Actions on a list nothing else is done
  • Handoff with context goal and steps tried
  • Stated limits Anything outside the agreed scope is quoted separately
  • No meter running $1,470 covers design, build, tests and handover; nothing accrues afterwards

01 · the answer-everything problem

A chatbot that guesses is worse than none at all

Most chatbot builders sit at one of two extremes. One answers only a short menu and sends everyone else to a form. The other answers everything, including a refund nobody approved or a delivery date nobody checked. On a multi-channel platform the risks multiply: the same customer writes on WhatsApp, follows up by email, and the assistant has no idea who they are or what was promised. Outside the WhatsApp service window it cannot reply at all without an approved template, and when it fails the customer starts again with a stranger.

A refund nobody approved

The bot improvised.

A private detail shared

Identity was never checked.

A customer asking twice

Channels did not share context.

Before MessageBird 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 a retry is a second proposal
  • Repeats are not recognised
  • The assistant answers a menu, or answers anything
  • Context is lost between channels and between people
After MessageBird to AI workflow automation: one clean workflow that matches MessageBirdThe 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 retry changes nothing
  • A second delivery resolves to the same proposal via one key built from the contact, the channel, the knowledge version and the model run
  • Replies come only from approved knowledge
  • Handoffs carry the goal, the order and the steps tried

02 · how it works

How a customer message becomes an accurate reply or a clean handoff

Judgement comes before writing, and the search comes before creating, on the Bird AI Chatbot service.

How MessageBird to AI workflow automation works: messages in, one clean proposal each, on a scheduleYour MessageBird workspace 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 Bird workspaceread-only accessBoldBellows syncchecks on a scheduleYour AI workflowin your AI workspaceREAD-ONLY0 DUPLICATESCHECKS ON A SCHEDULESYNCLIVEHow MessageBird to AI workflow automation works: messages in, one clean proposal each, on a scheduleYour workspace, the sync, your workflow.Your Bird workspaceread-only accessBoldBellows syncchecks on a scheduleYour AI workflowREAD-ONLY0 DUPES
  1. 01

    Read, record, decide

    Account, resource and time are captured from the Bird event, and the Bird event is tested against the trigger.

  2. 02

    Identify, find, draft

    The customer is identified, the answer is found in approved knowledge, and a short reply is drafted.

  3. 03

    Check, act, hand over

    The reply is checked, any allowed action is taken, and anything else goes to a person with context.

The Bird behaviour and model limits behind the design

  • Know when to hand over

    A scoped assistant answers from an authorized record, never from the wording of an earlier message, and passes the goal, the order and the steps it tried to a person whenever a request sits outside its authority.

  • Read, don't assume

    The assistant reads an order or booking from its owning system before it speaks, so a reply about status is a fact from a record and not a guess from an earlier message.

  • Unclear outcomes

    They are settled by reading the AI workflow on one key built from the contact, the channel, the knowledge version and the model run; a guess is never written.

03 · what ships in the build

Inside the Bird assistant: the parts that find, check and hand over

Intake admits and identifies, Logic builds and places, Oversight reconciles and reports.

What lands in your workflow: messages, queues and reports from MessageBirdQueue queue in AI workflow as a heat matrix: seven templates 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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Eligibility gate

Stops anything outside the agreed scope at the door and records what it stopped.

Intake

Stable identity ledger

Stores the Bird object ID, the model run and the policy version beside every proposal, so each decision traces to its source.

Intake

Schema-aware mapper

Checks each mapped value against what the AI workflow accepts before a write is attempted, on the Bird AI Chatbot service.

Intake

Knowledge answerer

Finds the approved passage and drafts a short reply, on the Bird AI Chatbot service.

Logic

Contact-and-thread matcher

Resolves each event against one key built from the contact, the channel, the knowledge version and the model run so the same change always lands the same way.

Logic

Action and handoff matrix

Decides which actions are allowed and who receives each handoff.

Logic

Conversation register

Reviews both systems on a timer so a slow drift does not stay hidden, in the Bird AI Chatbot service.

Oversight

Claim checker

Holds a reply that mentions a price, date or promise you have not approved.

Oversight

Review queue

Surfaces ambiguous matches and permission failures for a quick human decision.

Oversight

04 · who it's for

Designed for utilities and telecoms and for the people who answer customers on WhatsApp, SMS and email through Bird from approved knowledge, take only the actions you permit and hand anything else to a named person with the goal and the steps already tried

Customers want a quick, accurate answer on the channel they already use, and the business wants every reply to be one it would sign.

Customer

"Answer me now."

I get a reply in seconds.

Support lead

"Take the repeats off me."

Routine questions are answered for me.

Operations lead

"One view of every channel."

Threads join up by contact.

Compliance lead

"Show what was said."

Replies cite a knowledge version.

Owner

"Don't promise things."

Replies are checked before they go.

Agent

"Give me the story."

Handoffs carry the steps tried.

Scope is questions, answers and handoffs

Cost your Bird assistant, one guardrail at a time

Shape the Bird AI route with three choices and see the price and the timeline move. Intake opens at $1,470.

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

05 · compare your options

A chatbot builder that answers everything or nothing and zaps versus a scoped, knowledge-grounded assistant

Each can send a reply. Only one answers from approved knowledge, stays inside each channel's rules and hands over with context.

Comparison table: A chatbot builder that answers everything or nothing and zaps versus a scoped, knowledge-grounded assistant
How a message startsA menu chatbotA generic chatbotOur scoped, knowledge-grounded assistant
What starts the workWhoever sees it firstEvery event, in any orderA qualifying Bird event confirmed against Bird state
How identity is decidedBy whoever remembersThe last value seenOne key: contact, channel, knowledge version and model run
What reaches the AI workflowText retyped by handAn untyped bundleA short checked reply, or a handoff with the goal and the steps tried
After an uncertain resultA spreadsheet of mismatchesSends the same request againLooks before it writes again
By handstops to export, copy, paste, fixAutomatedno stops · every 15 minutes

Out-of-sequence updates

The route keeps the latest confirmed state for each record and refuses to let an earlier event replace it.

A customer asks for something the assistant may not do

The request is recognized as outside its list of actions, the customer is told a person will take it, and the handoff carries the goal, the order and what was already tried. A lookup by one key built from the contact, the channel, the knowledge version and the model run gives one of four verdicts, and each verdict has its own prepared response. The decision to create follows the search, never precedes it.

The route is only as reliable as one key built from the contact, the channel, the knowledge version and the model run, which is why it is designed first and tested hardest.

Pricing

Build your Bird AI Chatbot price

Pick a package, answer three short questions about how Bird data should reach AI Chatbot, 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 Bird to AI Chatbot route.

A focused production route for one Bird event family and one governed chatbot queue, delivering Bird AI chatbot automation, formerly MessageBird, that answers customers on WhatsApp, SMS and email from approved knowledge, takes only the actions you permit and hands over to a person with the goal and the steps already tried with identity, evidence and failure controls from day one.

  • One approved MessageBird event family and business-state admission rule within the Bird AI Chatbot service.
  • One authorized account, workspace, organization, or base boundary within the Bird AI Chatbot service.
  • One AI Chatbots object contract with field and relationship mapping
  • Stable matching through Bird workspace plus contact, message, conversation, journey, call, or channel ID and source identity paired with the ai chatbots record, conversation, case, event, or result identifier
  • Tests for duplicates, stale events, malformed data, denied access, and timeouts within the Bird AI Chatbot service.
  • Implementation map, test record, and premium PDF operations handover within the Bird AI Chatbot service.

Adds branching, existing-record matching and a bounded historical pass for teams whose Bird signals need more than one approved chatbot path, while still delivering Bird AI chatbot automation, formerly MessageBird, that answers customers on WhatsApp, SMS and email from approved knowledge, takes only the actions you permit and hands over to a person with the goal and the steps already tried.

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

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

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

Within the Bird AI Chatbot scope, 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 Bird changes should be allowed to start an AI chatbot decision?Required

Governed lifecycle set: Use this when several documented Bird states must converge on one chatbot decision.

How should a Bird record that already has an AI chatbot decision be recognized?Required

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

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

Managed repair case: Give every uncertain chatbot 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 menu bot to a scoped assistant

You see something concrete at every one of the six steps.

  1. Step 01

    Gather the knowledge

    On this Bird AI Chatbot service, we collect the facts customers ask about and decide which documents are the single source of truth.

  2. Step 02

    Approve access

    Scoped access to Bird, a model service you have approved and a written list of decision identifiers are set up first.

  3. Step 03

    Agree the limits

    Which topics are answered, which actions are allowed, who takes each handoff and what a reply may never say are agreed in writing first.

  4. Step 04

    Check the failure paths

    With Bird AI Chatbot in place, we confirm that a duplicate, a stale event and a denied request each end in the right outcome in a test the AI workflow.

  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

    Keep an eye on it

    After go-live the route is watched for drift, permission changes and unusual volumes.

Handover for MessageBird 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 Chatbot packages take

The clock starts once Bird access and the model connection are approved.

Intake

6 to 10 business days

Logic

10 to 16 business days

Oversight

16 to 24 business days

08 · before we start

What we ask of you

  • Authorisation to reach the Bird objects in scope

  • A Bird workspace with the channels you use, your approved knowledge documents and a named person for each handoff topic

  • A Bird login or API key for the account, scoped to this route

  • A short description of what done looks like in the AI workflow

  • A list of existing the AI workflow records the route must not touch

  • Agreement on how quickly exceptions need an answer

09 · security and ownership

What crosses is written down, and so is how to switch it off

The model sees only the Bird fields you approve, and nothing it proposes is applied until the rule you set says so.

Read-only MessageBird 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

No plugin, no patch

Nothing is added to Bird or the AI workflow themselves. The route connects at the documented edges and stays there.

Scoped, revocable access

Permissions are written down, minimal and reversible.

Masked where needed

Values that should not be visible downstream are dropped or masked first, with the decision written into the handover.

Uncertainty is investigated

The proposal is found, compared and either left alone or corrected.

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 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.

Hannah JohnsonVerifiedChicago, USA

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.

Kwame MensahVerifiedKumasi, Ghana

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

11 · questions

Bird AI chatbots: what support teams ask

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

PriceTimeAccessHandover?Every question, answered
Is a Bird automation with an AI step enough?

You can get customers answered across channels in seconds, with accurate replies and a person ready for the rest from a no-code recipe. Such a recipe will not answer from approved facts, stay inside the channel's window or hand over with the context a person needs. Filling those gaps is most of the job.

Is Bird the same as MessageBird?

Yes. MessageBird now operates as Bird, and this service works with its current platform.

Which channels can the assistant use?

WhatsApp, SMS and email, within each channel's rules.

Does it answer everything?

No. It answers what your knowledge covers and hands the rest to a person.

What happens after the WhatsApp window closes?

It uses an approved template, or holds until the customer writes again.

Can it take actions?

Only the ones you list, such as reading an order status.

Who sees the conversations?

Only the people you name, in your own support queue.

Do you decide which Bird fields the model sees?

Included in every package: each Bird field is assigned to the model prompt, a proposal field or a log, with a purpose written next to it for your sign-off.

Can the AI route follow our own rules in the Bird AI Chatbot service?

Yes. A custom Bird AI route can branch by type, urgency or owner. Treat it as design advice plus the build, from $1,470.

What happens if Bird or the model changes later?

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. It is also the answer to custom bird ai chatbot automation.

Answer customers on every Bird channel while they are still there

Give your customers accurate answers, fast

Intake starts at $1,470.

Unusual volumes or extra systems are quoted on request.