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Dialogflow Google Chat bots for companies that live in Google Workspace

Dialogflow Google Chat bot automation that answers where the question is asked, routes requests and logs the gaps

The Dialogflow CX Google Chat integration needs a Google Workspace account with Chat, a Google Cloud project where both the Google Chat API and the Dialogflow API are enabled, and an app name and avatar. BoldBellows records the Chat space, the sender and the message ID before an answer is drafted, replies in the space where the question was asked and keeps private questions private, then builds the intents and flows for your most frequent questions, such as password resets, leave balances and expense rules, answers from your policy documents, routes a request that needs a person to the right owner with the details already filled in, logs every question the bot could not answer, and reports the top gaps to the policy owners each week. Private questions stay in direct messages.

View Pricing

From $1,685, paid once. Build a Dialogflow Chat bot.

  • Build a Dialogflow Chat bot
  • Answers where asked
  • Gaps logged for owners
Dialogflow Google Chat bot automation that answers IT HR and policy questions in the space where they are asked routes requests to the right person and logs unanswered questions for the owners, built by BoldBellows

What Dialogflow Google chat bot is built never to do

  • Answers in the spacewhere it was asked
  • Requests routedwith details filled in
  • Gaps loggedfor the policy owners
  • Private questions privatein direct messages
  • Plain-language notesOperators get notes written for operators, not developers
  • Handover includedthe $1,685 entry package ends with a written runbook you keep

B2Before and after

Everyone asks the same ten questions in a channel full of people

Internal questions arrive in whichever channel is closest: where is the leave policy, how do I reset my VPN, who approves a purchase. The same ten questions are answered by the same three people every week, and the answer lives in a chat thread that no one will find next month. The handbook is out of date because no one sees which questions it fails to answer. A bot that answers in the wrong place can also expose a private question to a whole room.

Sound familiar?

The same ten questions weekly

Answers lived in threads.

A handbook nobody opens

It was hard to find.

Gaps nobody sees

Unanswered questions were not logged.

A request lost in a thread

It had no owner.

A private question made public

The bot replied in the room.

An out-of-date answer

Sources were not refreshed.

The same company, with answers where people already ask

Before

Before Dialogflow to Google Chat automation: manual messages exports, duplicates and broken formulasThe old way: a spreadsheet with a duplicated message, #N/A and #REF! errors and a note asking which row is right.messages (2).csvstatus changes v3.csvmessages_export_FINAL_v3.xlsxMessageContactRepliesStatus#1048Maya Chen9Delivered#1049Omar Hale14Delivered#1049Omar Hale14Duplicate#1050Lena Brooks#N/ADelivered#1051Sam Ortiz21#REF!Which row isthe right one?
  • Whatever Dialogflow sends, the Chat space receives
  • The same questions are answered by hand every week
  • Nobody knows which questions the handbook fails

After

After Dialogflow to Google Chat automation: one clean space that matches DialogflowThe new way: a five-week calendar grid coloured by daily net conversions, from low to high.Replies conversions by dayLast 5 weeksMTWTFSS9k13k13k14k18k15k19k19k16k16k20k16kLowHighUpdated live
  • The message ID and its space ties the the Chat space message to the Dialogflow event
  • Common questions are answered in seconds, in place
  • Unanswered questions are logged for the owners

D4How it works

How a question in Chat becomes an answer, a routed request or a logged gap

Events are filtered, keyed, searched and then written, with a record at each stage.

How Dialogflow to Google Chat automation works: messages in, one clean message each, on a scheduleYour Dialogflow agent sends data through a read-only link to the BoldBellows sync, which removes duplicates and handles status changes, then fills your Google Chat on your schedule.Your DialogflowagentContacts,conversations,MessagesQueueStatus changesBoldBellows syncReads only, writes onceNo duplicate messagesEdits and status changes updateYour time zone and settingsYour Google ChatspaceSpaces, reportsand a dashboardRead-onlyYour scheduleHow Dialogflow to Google Chat automation works: messages in, one clean message each, on a schedule, stacked: your agent, the BoldBellows sync, then your Google Chat space.Your Dialogflow agentContacts, conversations,messagesMessagesQueueStatus changesBoldBellows syncReads only, writes onceNo duplicate messagesEdits and status changes updateYour time zone and settingsYour Google Chat spaceSpaces, reports and a dashboardRead-onlyYour schedule

1. Receive, log, qualify

The event arrives from Dialogflow, is logged with its identifiers, and is qualified or set aside.

2. Match, answer, route

The question is matched to an intent or document, answered in place, or routed to an owner.

3. Log, report, refresh

Gaps are logged, the weekly report goes to the owners, and sources are refreshed.

E5Inside your space

Built-in safeguards and builders for Dialogflow to the Chat space

Direct makes the route safe to run. Managed makes it complete. Watchful makes it last.

What lands in your space: messages, spaces and reports from DialogflowGoogle Chat split view: raw messages scroll in on one space while a summary space fills itself with totals and a trend line.MessagesSummaryMessageContactReplies#1053Kai P.6#1054Zoe L.14#1055Ben R.3#1056Ada M.10#1057Noah S.7#1058Eva T.21#1059Liam D.4#1060Mia K.9#1053Kai P.6#1054Zoe L.14#1055Ben R.3#1056Ada M.10#1057Noah S.7#1058Eva T.21#1059Liam D.4#1060Mia K.9auto-fillsMessages1,2041,208Replies conversions4.82k4.84kStatus changes1213Replies conversions, last 14 daysMessagesMessagesDaily messagesQueueStatus changesReportsContactsDashboard

Direct

Source state reader

Reads the current Dialogflow state behind the event so stale or partial notices are not acted on.

Direct

Stable identity ledger

Holds the Dialogflow identifier next to the Google chat bot outcome it created, which lets a retry confirm the work rather than repeat it.

Direct

Required-field check

Stops an incomplete Dialogflow record before it produces a half-filled message in the Chat space.

Managed

Question matcher

Gives every event one of four outcomes using the message ID and its space: new, update, done or unclear.

Managed

Sender recognizer

Recognizes the employee and the space they asked in.

Managed

Owner and topic matrix

Decides who owns each topic and which requests need a person.

Watchful

Gap register

Compares state across Dialogflow and the Chat space and ranks each gap by age.

Watchful

Source monitor

Flags policy documents that have not been refreshed.

Watchful

Ownership map

Shows who is responsible for each class of exception between Dialogflow and the Chat space.

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G7Who it is for

Who uses this: energy retailers, all needing to put a Dialogflow bot in Google Chat for your own team: answer IT, HR and policy questions in the space where they are asked, log what could not be answered and route requests to the right person

Employees want an answer where they already ask, and policy owners want to know which questions the handbook cannot answer.

Employee

"Answer me now."

I get it in Chat.

IT lead

"Stop the repeats."

The bot answers the usual ones.

HR lead

"Show me the gaps."

Unanswered questions are logged.

Manager

"Route my request."

It reaches the owner filled in.

Privacy lead

"Keep private things private."

Direct questions get direct answers.

Owner

"Keep it current."

Sources are refreshed.

Budget is driven by spaces, questions and requests

Find the right the Chat space package, see the price now

Decide the scope of Dialogflow Google chat bot in the panel below and read a firm figure and a delivery range. It begins at $1,685.

View Pricing

One setup fee

I9Your options

Choose your route from Dialogflow to the Chat space: a shared document nobody opens, zap or a Dialogflow Google Chat app with a request log

Each can post an answer. Only one answers in place, routes requests and logs what it could not answer.

Comparison table: Choose your route from Dialogflow to the Chat space: a shared document nobody opens, zap or a Dialogflow Google Chat app with a request log
The first stepa shared document nobody opensA marketplace connector for the Chat spaceBoldBellows and its Dialogflow Google Chat app
What starts the workWord of mouth in the teamEvery delivery attemptAn event admitted by rule, not by default
How identity is decidedA manual lookup each timeA field anyone can editSpace name, sender and message ID, with the matched topic
What reaches the Chat spaceAnything that fits the formA single-step writeAn answer in the space, a routed request, or a logged gap
After an uncertain resultDiscovered at month endTries again without checkingHolds the case with evidence for an owner
By handstops to export, copy, paste, fixAutomatedno stops · every 15 minutes

Old news arrives after new

Each event carries its own time, and the route applies it only if it is newer than what the Chat space already shows.

An employee asks a question in a direct message

The bot answers in the direct message and not in any shared space, and if it cannot answer, the gap is logged without naming the person. With the message ID and its space the route can say whether the work is missing, done, off, or unclear, and it says so in the log. Matching and differing records are handled separately; only a missing one is created.

Choosing the message ID and its space is step one; the field map and the branches are built on top of it.

Pricing

Build your Dialogflow to Google Chat Bot price

Pick a package, answer three short questions about how Dialogflow data should reach Google Chat Bot, 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 Dialogflow to Google Chat Bot route.

A focused production route for one Dialogflow environment and one Google Chat Bot destination, delivering Dialogflow Google Chat bot automation that answers IT, HR and policy questions in the space where they are asked, routes requests to the right person and logs unanswered questions for the owners with identity and failure controls from day one.

  • One approved Dialogflow event family and business-state admission rule within the Dialogflow Google Chat Bot service.
  • One authorized account, workspace, organization, or base boundary within the Dialogflow Google Chat Bot service.
  • One Google Chat Bot object contract with field and relationship mapping
  • Stable matching through Google Cloud project plus location, agent, environment, session, intent, page, or webhook request ID and source identity paired with the authoritative google chat bot record, execution, conversation, transaction, or decision identifier
  • Tests for duplicates, stale events, malformed data, denied access, and timeouts within the Dialogflow Google Chat Bot service.
  • Implementation map, test record, and premium PDF operations handover within the Dialogflow Google Chat Bot service.

Adds branching, matching and a bounded historical pass for teams whose route into Google Chat Bot cannot be one straight-through action, while still delivering Dialogflow Google Chat bot automation that answers IT, HR and policy questions in the space where they are asked, routes requests to the right person and logs unanswered questions for the owners.

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

Adds reconciliation and governance for teams that now depend on Dialogflow Google Chat bot automation that answers IT, HR and policy questions in the space where they are asked, routes requests to the right person and logs unanswered questions for the owners, with drift detection and an exception register for Google Chat Bot.

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

For the Dialogflow Google Chat Bot service, 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 Dialogflow events should reach Google Chat Bot?Required

Governed lifecycle set: Use this when several approved Dialogflow transitions must converge on one Google Chat Bot message.

How should Google Chat Bot recognize a Dialogflow record it has already handled?Required

Ambiguity queue: Route zero-match and multi-match cases to an owner instead of letting Google Chat Bot guess.

Which Dialogflow events should reach Google Chat Bot?Required

Managed repair case: Capture evidence, ownership and a safe next action whenever a Google Chat Bot write is uncertain.

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.

J11The process

Six steps from a buried handbook to a bot in Chat

A short, repeatable process of six steps, ending in a launch review.

  1. Collect the questions

    We gather the questions people ask most, the documents that answer them and who owns each topic.

    Day 1
  2. Approve access

    A restricted login for Dialogflow comes first, the same for every tool Google chat bot writes to, followed by an agreed list of matching keys.

    Access review
  3. Agree the scope

    Which topics the bot answers, which it routes and what it must never answer are written out and approved first.

    Build phase
  4. Test what goes wrong

    Duplicate deliveries, slow events, blank fields and denied permissions are run in a test copy of the Chat space.

    Before you review
  5. Launch with notes

    Handover closes the project: a live route, a checkpoint to prove it, and documentation to run it.

    Release day
  6. Launch support

    For a short period after launch we respond quickly to anything unexpected in the live route.

    Day 1
Handover for Dialogflow to Google Chat automation: notes, a checked run and a health checkHandover timeline: brief, map, build, test, hand over and a week of support, with the current step highlighted.From first brief to a space that runs itself1Brief1 page2MapFields3BuildSync4TestEdge cases5Hand overPDF pack6Support1 weekClear scopeSet onceTested on real messagesZero duplicatesOwned by youPlain notes

K12Turnaround

Days to delivery, package by package

The range begins on the day access to Dialogflow and the connected tools is confirmed.

Direct

6 to 10 business days

Managed

10 to 16 business days

Watchful

16 to 24 business days

L13Getting started

Items to hand over at kickoff

Consent from your Dialogflow owner to read the agreed records

A Google Workspace account with Chat, a Cloud project that hosts the Dialogflow agent, and your policy documents with named owners

Test records in Dialogflow for the acceptance runs

Names of the people who decide when a Dialogflow event is valid

Your rule for what to do when Dialogflow and the Chat space disagree

A decision on whether history should be loaded or only new events

M14Safety and ownership

A route that borrows access, never rewrites your tools

Dialogflow data is read through an account you control, kept to the Google chat bot fields, and never copied beyond what is needed.

Read-only Dialogflow to Google Chat access: your data stays yoursA Google Chat space covered by a padlock with a note that you own it and access is read-only.Messages (read-only)You own itRead-only access

Reversible by design

Because nothing inside Dialogflow or the Chat space is modified, switching the route off returns both tools to how they were.

Scoped, revocable access

Connections are restricted to the objects on the approved list.

A purpose for every field

Each mapped field has a reason recorded beside it, so a later review can tell why it was sent.

Find first, write second

The route finds the message through the message ID and its space before choosing between create, update and leave alone.

Minimal logging

Only technical identifiers reach the run history.

Full handover

The finished route and its explanation are delivered together.

N15In their words

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 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.

Sofia DimitrovVerifiedSofia, Bulgaria

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.

David KimVerifiedSeoul, South Korea

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

P16FAQ

Dialogflow Chat bots: what internal teams ask

The essentials in question-and-answer form, with room for your own in the quote request.

PriceTimeAccessHandover?Every question, answered
Will a ready-made Dialogflow zap do Google chat bot?

To get employees answered in Chat in seconds, with the questions no one could answer logged for the owners, a connector will do. To answer in the space where the question was asked, keep private questions private or log the gaps, you need a designed route. Each of those is covered, tested and handed over in writing.

What does the integration need?

A Google Workspace account with Chat and a Cloud project with the Chat and Dialogflow APIs enabled.

Is the integration generally available?

No. It is pre-GA, so we plan for that.

What input does it take?

Text in the agent's default language.

Where does the bot answer?

In the space where the question was asked, or in a direct message.

How are requests routed?

To the owner of the topic, with the details filled in.

What happens to unanswered questions?

They are logged and reported to the policy owners.

Does the work cover mapping Dialogflow values for Google chat bot?

Yes. We draw up the field map for Dialogflow Google chat bot, you check it line by line, and nothing is built until you agree.

Does the route allow different rules for different cases on the Dialogflow Google Chat Bot service?

Yes. We write your conditions for Google chat bot into the build, from $1,685.

Is Google chat bot protected from Dialogflow releases?

Dependencies are listed at handover. A breaking change pauses just the part it touches and alerts your owner, and post-review fixes are quoted separately. Related searches this service covers include custom dialogflow google chat bot automation.

Q17Put the answers where your team already asks

Give your team a handbook that answers back

One trigger, one result, one person for exceptions: with those, Dialogflow Google chat bot is priced from $1,685.

  • From $1,685, paid once
  • Answers in the space
  • Gaps logged
  • No monthly fee from us

For enterprise-scale or multi-region needs, request a tailored quote.