The wrong product's answer
One store held every product.
Dialogflow data stores for teams whose documents change faster than their agent
Dialogflow knowledge base automation that scopes data stores by topic, keeps sources current and links the source behind every answer
A Dialogflow CX data store can draw on website URLs, BigQuery tables, Cloud Storage files and several other sources, and it can hold FAQ pairs as well as unstructured documents, with imports that either add and update documents or replace everything. BoldBellows records the source, its version and the date it was indexed before it can answer a question, searches only the data stores meant for the topic and links the source it used, then sorts your material into data stores by product or topic, chooses the right source type for each, sets the import mode so an update never wipes good content by accident, verifies the domains the website sources need, records the snippet each answer used, and saves the questions that found nothing. The owners of each topic receive that list so the next document fills the gap.
View Pricing
From $960, paid once. Build a Dialogflow knowledge base.
- Build a Dialogflow knowledge base
- Scoped by topic
- Source linked on every answer
Controls built into the Dialogflow AI route
- Data stores by topicsmall and focused
- Sources kept freshscheduled imports
- Source linkedon each answer
- Gaps listedquestions with no match
- Honest reportingFailed runs are reported with their cause, not hidden
- Predictable cost$960 to begin; Dialogflow and AI Knowledge Base subscriptions remain your own
B2Before and after
Point the agent at the whole site and nothing is found reliably
The quick start is to give the agent the whole website and every file. It answers well in a trial and then misleads in ordinary use: an old pricing page outranks the new one, a page about one product answers a question about another, and the answer carries no hint of where it came from. Importing new data with the wrong mode can replace good content, and a website that the search indexer has not crawled never appears at all. When a question has no answer, the agent either guesses or says nothing useful.
Sound familiar?
An old page outranking a new one
Sources were never refreshed.
A guess when nothing matches
Gaps were not handled.
An answer with no source
The snippet was not recorded.
Good content overwritten
The import mode was wrong.
A site that never appears
It had not been crawled.
The same business, with an agent that finds the right document
Before
- Each notice is trusted as it stands
- One crawl of everything, answering from the wrong source
- Nobody can tell where an answer came from
After
- Matching uses a pairing of the source URL or file, its version and the answer snippet; titles and labels are ignored
- Data stores scoped to a topic and kept fresh
- Every answer links to its source
D4How it works
How your documents become answers that name their source
The sequence is fixed so that a replay reaches the same answer every time.
1. Filter at the door
The Dialogflow event is authenticated and recorded first; only a Dialogflow event that matches the rule continues.
2. Sort, import, schedule
Sources are sorted by topic, imported in the right mode and refreshed on a schedule.
3. Search, link, log gaps
The agent searches the right store, links the source and saves what it could not find.
E5Inside your workflow
Inside the knowledge base: the parts that sort, search and link
Each layer adds one job: Kickoff decides, Build-out delivers, Review verifies.
Kickoff
Qualification check
Applies the written qualification rule to each event and keeps the result beside it.
Kickoff
Stable identity ledger
Logs who reviewed which Dialogflow proposal and when, alongside the evidence they were shown.
Kickoff
Mapping documentation
Produces the field map as plain documentation your team can read and keep.
Build-out
Source classifier
Decides which data store each page or file belongs to.
Build-out
Snippet matcher
Checks a pairing of the source URL or file, its version and the answer snippet in the AI workflow before any write, which is what makes replays harmless.
Build-out
Scope and schedule matrix
Decides which stores an agent may search and when sources refresh.
Review
Gap register
Flags any proposal whose content no longer mirrors Dialogflow, and says since when.
Review
Freshness monitor
Flags sources that missed their refresh.
Review
Exception alerts
Notifies the right person when an exception appears, not the whole team.
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G7Who it is for
Fits software vendors and whoever must make a Dialogflow CX agent answer from your documents: organize sources into data stores by topic, keep them fresh, link the source behind each answer and show what could not be found
Customers want the answer from the current document, and content owners want to know which documents are missing, on the Dialogflow Knowledge Base service.
Customer
"Give me the current answer."
Sources are refreshed.
Content owner
"Show me the gaps."
No-match questions are listed.
Support lead
"Fewer wrong answers."
Each topic has its own store.
Engineer
"Keep imports safe."
The mode is chosen on purpose.
Compliance lead
"Show the source."
Every answer links to it.
Owner
"Keep the cost down."
Searches are scoped.
What changes the price: sources, snippets and answers
Cost your knowledge base, one source at a time
Price the route that suits you: three decisions, one live total, entry at $960.
View Pricing
One setup fee
I9Your options
Side by side: one big crawl of the whole website, a zap and a Dialogflow data store split by topic and kept fresh
Each can search. Only one scopes stores by topic, keeps them fresh and links the source used.
| How a source starts | A single help page | A generic chatbot | Our sourced knowledge base |
|---|---|---|---|
| What starts the work | An owner checking daily | Any update at all | Approved Dialogflow events only |
| How identity is decided | Decided case by case | The display text | One key: source URL or file, its version and the answer snippet |
| What reaches the AI workflow | A fraction of the record | A minimal record | An answer from the right data store with its source, or a logged gap |
| After an uncertain result | Re-run and hope | Retries on a timer | Proves the outcome before repeating anything |
A delayed event meets a newer record
The stored time of the last confirmed change guards every write, so a late Dialogflow event cannot regress the proposal.
A product page is rewritten overnight
The scheduled import replaces the old passages, the same question is asked again in the morning and the new wording is returned with its link. Searching the AI workflow on a pairing of the source URL or file, its version and the answer snippet shows whether the proposal is already there, and whether it is right. Nothing new is created unless the lookup comes back empty.
We begin by fixing a pairing of the source URL or file, its version and the answer snippet, and every test afterwards checks that it still holds.
Pricing
Build your Dialogflow AI Knowledge Base price
Pick a package, answer three short questions about how Dialogflow data should reach AI Knowledge Base, and your price and turnaround move as you choose.
J11The process
Six steps from a pile of pages to a governed knowledge base
Six steps from kickoff to a monitored route, each with a written result.
-
Day 1
Inventory the sources
We list your websites, files and tables, who owns each one and how often it changes.
-
Access review
Approve access
Before any build, Dialogflow access is scoped, the model is chosen and each proposal type is given an approver.
-
Build phase
Agree the structure
Which data stores exist, what goes in each, which agents may search them and how often they refresh are written out and approved first.
-
Before you review
Acceptance runs
Normal and awkward records are pushed through a test the AI workflow, and you sign off the results before go-live, for this Dialogflow Knowledge Base service.
-
Release day
Launch with notes
Launch day includes the switch-on, a first-run check and the PDF for whoever supports it next.
-
Day 1
Close the loop
A final review confirms the success measures agreed at the start and records what to watch next.
K12Turnaround
From approved access to live: the timings
We start counting when Dialogflow access and the model connection are signed off.
Kickoff
6 to 10 business days
Build-out
10 to 16 business days
Review
16 to 24 business days
L13Getting started
What we will ask you for
Confirmation of which Dialogflow records we may read
Access to your websites and documents, a Dialogflow CX agent to attach the data stores to, and a named owner for each topic
The Dialogflow account owner's sign-off for the connection
A list of the statuses or stages that matter to you
A short description of how the team works in the AI workflow today
Your retention rule for anything the route logs
M14Safety and ownership
Only listed fields move, and every permission is explained
Credentials stay with the route, never the model: it sees approved Dialogflow fields and returns proposals that wait for sign-off.
Outside the core
The route runs beside Dialogflow and the AI workflow, not within them, so neither vendor's own updates collide with it.
Scoped, revocable access
Every credential has an owner, a scope and an off switch.
Only approved values cross
What appears in the AI workflow is exactly what the Dialogflow field map lists, and the map is part of the handover.
Doubtful writes are verified
If a response goes missing, the AI workflow is searched by a pairing of the source URL or file, its version and the answer snippet and the outcome recorded before anything else happens.
Minimal logging
We keep proof that a step happened without keeping what it carried.
Full handover
The field map, credential inventory and recovery notes are yours to keep.
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.
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 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 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.
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 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.
P16FAQ
Dialogflow knowledge bases: what content teams ask
The questions that come up most while buyers compare options, answered once.
How is this different from a Dialogflow automation with a language-model action?
Answers that come from your current documents and say where they came from is easy. The hard part, which a zap skips, is to scope each data store to its topic, keep sources current or link the source behind an answer. That is the extra we deliver on top of the trigger.
Which sources can a data store use?
Website URLs, BigQuery, Cloud Storage and other supported sources.
Do websites need verification?
Yes, the domain has to be verified.
Can it hold FAQs?
Yes, as an FAQ data store.
How do I know which source was used?
The route records the snippet and its link with each answer.
What about a site with thousands of pages?
Up to 200,000 pages are indexed; beyond that indexing stops.
What about questions it cannot answer?
With Dialogflow Knowledge Base in place, they are saved with their wording so you can write the missing document.
What data from Dialogflow does the model never receive?
The first deliverable is the field map for Dialogflow.
Can the route respect our regions and teams in the Dialogflow Knowledge Base service?
Yes. The rules are yours: we turn them into conditions the route enforces on every proposal, from $960.
What if the schema of the answer changes in the Dialogflow Knowledge Base service?
Changes are expected, so the route fails safe: the affected record waits and is flagged. Anything needed after the review window is quoted separately. This page also answers searches for custom dialogflow knowledge base automation.
Q17Make your agent answer from the document that is true today
Give your customers answers with their source attached
Share the trigger, the outcome you want and the person who signs off, and the Dialogflow AI route is priced from $960.
- From $960, paid once
- Data stores by topic
- Source linked
- No monthly fee from us
Bigger rollouts can be split into phases, each quoted in advance.