Dialogflow CX Development
Enterprise conversational AI on Google Cloud.
Dialogflow CX is Google’s platform for structured, large-scale conversational agents. We design the intents and flows, connect Google Cloud and your business systems, and run it for chat and voice.
Why Choose GetAIChatBots for Dialogflow CX Development
Dialogflow CX development is the right call when a conversational agent needs structure, volume and governance rather than a quick prototype. GetAIChatBots builds Dialogflow CX agents for contact-center automation, multi-language support and teams already working in the Google ecosystem. We build on Dialogflow CX, design the flows and intents, connect fulfilment webhooks to your systems, and hand the project over with the documentation your engineers need.
Volume grows faster than your support team.
A contact center that adds headcount for every new product line never catches up. Simple requests such as order status, address changes and appointment slots take the same agent time as hard cases, languages multiply, and a prototype bot that worked in a demo breaks down once real customers phrase things differently.
- Routine requests consuming expensive agent time
- Each new language treated as a separate project
- A prototype bot that collapses on real phrasing
Three steps from call to launch.
Model the journeys
We map the top request types, define intents, entities and the pages each journey moves through, and agree what is automated.
We start from real requests, not from the tool’s features. The most common journeys are mapped first, with a clear line between what the agent does and what stays with people.
- Top request types ranked
- Intents, entities and pages defined
- Scope of automation agreed
Build and integrate
We build the agent, add fulfilment webhooks to your CRM, order system or calendar, and test with real customer phrasing.
Fulfilment webhooks connect the agent to your systems, so it can look things up and take action. Testing uses the exact phrases customers use, including the messy ones.
- Agent built in Dialogflow CX
- Webhooks to CRM, orders or calendar
- Tested with real customer phrasing
Deploy and monitor
We connect your channels, set up logging and review dashboards, and hand over documented flows and handover notes.
Channels are connected one at a time, with logging switched on from day one. Dashboards show what the agent handled and where it failed, so improvements are targeted.
- Channels connected and tested
- Logging and review dashboards
- Documented flows and handover notes
What we build on Dialogflow CX.
Conversation flows with decision trees, intents and fallback handling
Flows and pages in Dialogflow CX that guide each journey and recover from misunderstandings.
- Intents, entities and pages
- Fallback and no-match handling
- Clear exits to a person
An AI layer (GPT or Claude) for generative replies inside structured flows
Generative answers where they help, inside a structure you control.
- Generative fallback with guardrails
- Answers from your own content
- Fixed flows for sensitive actions
CRM integration with GoHighLevel, HubSpot, Pipedrive, Zoho, Sheets or Notion
The agent reads from and writes to your CRM through fulfilment webhooks.
- Customer lookups during the chat
- Records created and updated
- Fields mapped with you
Payments and calendars through Stripe, Calendly, GHL calendars or Cal.com
Booking and payment steps run inside the conversation.
- Live availability checks
- Payment links on request
- Confirmations sent automatically
Lead capture and scoring, with qualified leads sent to your sales team
Leads are captured, scored and sent to sales with their answers.
- Questions tuned to your process
- Scores you can read and change
- Alerts to the right team
Human handoff with live agent escalation and full context transfer
When the agent should step back, a person continues with full context.
- Escalation by rule or request
- Transcript and intent passed on
- Handoff to your live chat or phone
Dialogflow CX agents that stay accurate as traffic grows
Structured flows make an agent predictable: each page has a clear purpose, transitions are explicit and fallback behavior is defined rather than accidental. We keep intents tidy, test with a broad set of phrasings, and add logging so you can see which utterances fail. Language support is designed in from the start so a second or third language reuses the same flow structure. Sensitive data is handled according to your Google Cloud project settings, and anything the agent cannot resolve goes to a person with the context already collected.
Book a Call ↗When Dialogflow CX is the right choice, and when it is not.
Dialogflow CX is Google Cloud’s advanced edition of Dialogflow, built around a visual flow and page model that suits large, complex agents with many journeys. It integrates with other Google Cloud services and is commonly used for contact-center chat and voice. It rewards careful design, which is why we recommend it for teams with real volume rather than for a first simple bot.
Choose Dialogflow CX when
You expect high volume, need multiple languages, work in Google Cloud, or want to automate parts of a contact center with predictable, governed flows.
Choose something else when
You need a social lead bot fast, which ManyChat does well, or you want collaborative voice design, where Voiceflow is friendlier to non-engineers.
Works with your stack.
A Dialogflow agent earns its keep by calling your systems. These are the platforms we most often connect to it.
Book a Call →Where Dialogflow CX fits best.
Dialogflow CX fits where request volumes are high and journeys repeat, such as call centers, banking, travel and aviation.
Three tiers. One platform.
Fixed scope. Fixed timeline. No surprise invoices.
Starter
Dialogflow CX starter build.
- 1 channel + 5 conversation flows
- CRM / Sheets connection
- Documentation + Loom handoff
- 7–10 day delivery
- 14-day support
Growth
Most chosenDialogflow CX growth build.
- 2–3 channels + 15 flows + GPT layer
- CRM + payments + calendar / alerts
- Lead scoring or error monitoring
- 14-day delivery
- 30-day support
Enterprise
Dialogflow CX enterprise build.
- Omnichannel + RAG + custom AI
- Analytics dashboard
- Monitoring + alerting
- 30-day delivery
- 60-day support + monthly tune
A knowledge base over 10k docs as an embedded widget
A cybersecurity SaaS wanted customers to get answers from its full documentation without opening a ticket. We built a RAG-powered chat over the whole doc corpus, embeddable in any customer portal: 10k+ documents indexed, answers in under two seconds on average and 65% of support questions deflected. It was not built on Dialogflow, but it shows the outcome a well-grounded support agent aims for: customers get a fast answer and routine questions stop reaching human agents.
Dialogflow CX agents designed for real traffic.
Large agents fail when the design is rushed. We work remotely with teams across the United States and worldwide, from our Austin, TX and Pakistan offices, and we treat journey mapping as the main deliverable, not an afterthought.
Journeys before intents
We map the top request types with your support leads, then build only what is worth automating.
Tested on real phrasing
We test with actual customer wording and edge cases, not only the clean examples in a design document.
Documented for engineers
Flows, webhooks and logging are documented, inside your own Google Cloud project with delegated access.
Often built together.
AI Agents & Voice
Sales agents, support agents, voice receptionists and appointment setters that book calls and qualify leads around the clock.
- Voice & chat sales and support agents
- Books qualified calls into your CRM
- Scores and routes leads automatically
- Escalates to a human on intent
RAG Pipeline Architecture
We design and build the retrieval layer behind your AI agents, connecting them to your real business data so answers are accurate, not generic.
- Data source mapping & ingestion
- Vector database setup & tuning
- Retrieval accuracy testing
- Ongoing monitoring & re-indexing
PBX/SIP Integration
We connect your AI voice agents directly to your existing phone infrastructure, PBX systems and SIP trunking, so calls route through the systems you already run.
- SIP trunk configuration & testing
- PBX integration (on-prem or cloud)
- Call routing & IVR handoff logic
- Uptime & failover monitoring
AI Chatbot Development
WhatsApp, Instagram, Messenger, web, SMS and voice bots that sell, support and qualify 24/7, built on the Static / Dynamic / Hybrid model.
- Static, Dynamic and Hybrid models
- GPT and Claude answering layer
- Lead capture synced to your CRM
- Human handoff on buying intent
Business Automation
n8n, Make, Zapier and Pabbly workflows that connect your tools and take repetitive work off your team.
- Workflow, CRM and sales automation
- Two-way sync between your systems
- AI steps for triage and drafting
- Error alerts, retries and logging
CRM Development
GoHighLevel, HubSpot, Zoho and Salesforce builds wired to your stack: pipelines, automations and integrations a setup assistant cannot deliver.
- CRM setup, migration and cleanup
- Custom funnels, fields and pipelines
- API and webhook integrations
- White-label and SaaS-mode portals
Marketing Automation
Automated nurture sequences, lead scoring and campaign triggers that run without a marketing ops hire.
- Lead scoring & segmentation setup
- Multi-channel nurture sequences
- CRM-triggered campaigns
- Reporting dashboard handover
No-Code Development
We build on no-code and low-code platforms so you can maintain and extend what we ship without needing a developer on staff.
- Built on tools your team can actually edit
- No vendor lock-in to custom code
- Faster iteration than a full custom build
- Handover training included
What founders & agencies say.
We were losing patients every lunch hour and after 5 PM. Now the voice agent answers every call, books straight into our calendar, and sends reminders. Our front desk finally gets to focus on the patients in the chair.
Leads used to wait hours for a reply, and by then they’d called another agent. The chatbot qualifies buyers in under a minute and drops them into our CRM with budget and timeline already filled in.
Our office was buried in service requests and callbacks. Now emergencies get routed to the on-call tech instantly and routine jobs book themselves. It’s like we hired two dispatchers.
Most of our bookings start in Instagram DMs, and we couldn’t keep up. The bot answers pricing questions, books consultations, and even suggests add-on treatments. Our DMs actually make money now.
Leads used to wait hours for a reply, and by then they’d called another agent. The chatbot qualifies buyers in under a minute and drops them into our CRM with budget and timeline already filled in.
Our office was buried in service requests and callbacks. Now emergencies get routed to the on-call tech instantly and routine jobs book themselves. It’s like we hired two dispatchers.
Most of our bookings start in Instagram DMs, and we couldn’t keep up. The bot answers pricing questions, books consultations, and even suggests add-on treatments. Our DMs actually make money now.
We were losing patients every lunch hour and after 5 PM. Now the voice agent answers every call, books straight into our calendar, and sends reminders. Our front desk finally gets to focus on the patients in the chair.
Our office was buried in service requests and callbacks. Now emergencies get routed to the on-call tech instantly and routine jobs book themselves. It’s like we hired two dispatchers.
Most of our bookings start in Instagram DMs, and we couldn’t keep up. The bot answers pricing questions, books consultations, and even suggests add-on treatments. Our DMs actually make money now.
We were losing patients every lunch hour and after 5 PM. Now the voice agent answers every call, books straight into our calendar, and sends reminders. Our front desk finally gets to focus on the patients in the chair.
Leads used to wait hours for a reply, and by then they’d called another agent. The chatbot qualifies buyers in under a minute and drops them into our CRM with budget and timeline already filled in.
Most of our bookings start in Instagram DMs, and we couldn’t keep up. The bot answers pricing questions, books consultations, and even suggests add-on treatments. Our DMs actually make money now.
We were losing patients every lunch hour and after 5 PM. Now the voice agent answers every call, books straight into our calendar, and sends reminders. Our front desk finally gets to focus on the patients in the chair.
Leads used to wait hours for a reply, and by then they’d called another agent. The chatbot qualifies buyers in under a minute and drops them into our CRM with budget and timeline already filled in.
Our office was buried in service requests and callbacks. Now emergencies get routed to the on-call tech instantly and routine jobs book themselves. It’s like we hired two dispatchers.
Answers, before you book.
Quick answers to the questions we hear most about Dialogflow CX.
Why pick Dialogflow CX over the alternatives?
Dialogflow CX offers strong language understanding and deep Google Cloud integration, and it suits agents that must handle a lot of conversations in a structured way, including voice. For a quick lead-capture bot, a lighter tool is usually faster.
How fast can you ship?
Starter in 7–10 days. Growth in 14. Enterprise in 30. The exact timeline is written into your fixed-scope quote, which arrives within 24 hours of your call.
Whose account is the work done in?
Yours. We work inside your subscription and cloud project with delegated access, and you get a full handoff when the project closes.
Can one agent support several languages?
Yes. Dialogflow CX supports multiple languages, and we design the flow structure once so each added language reuses it. Wording and test phrases are reviewed per language, ideally by a native speaker on your team.
Can you migrate from another platform?
Yes. We have migrated builds from every major chatbot platform to Dialogflow CX and back. We rebuild the journeys, test against real customer phrasing and run both versions together until the switch is safe.