List of Google Dialogflow AI Platform Customers
Google
1600 Amphitheatre Pkwy,
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United States
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Communications
1700
$425M
Since 2010, our global team of researchers has been studying Google Dialogflow AI Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Google Dialogflow AI Platform for Chatbots and Conversational AI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Google Dialogflow AI Platform for Chatbots and Conversational AI include: Marks & Spencer_x000D_, a United Kingdom based Retail organisation with 64000 employees and revenues of $18.10 billion, KLM Royal Dutch Airlines, a Netherlands based Transportation organisation with 21670 employees and revenues of $13.96 billion, Admiral Group, a United Kingdom based Insurance organisation with 13000 employees and revenues of $5.10 billion, Domino's, a United States based Retail organisation with 21366 employees and revenues of $4.71 billion, Ticketmaster, a United States based Professional Services organisation with 6678 employees and revenues of $3.10 billion and many others.
Contact us if you need a completed and verified list of companies using Google Dialogflow AI Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the Artificial Intelligence software purchases.
The Google Dialogflow AI Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of Artificial Intelligence software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Abtran | Professional Services | 1600 | $340M | Ireland | Google Dialogflow AI Platform | Chatbots and Conversational AI | 2017 | n/a |
In 2017, Abtran implemented Google Dialogflow AI Platform for customer-facing automation and conversational routing within its Contact Centre technology stack. The deployment targeted Chatbots and Conversational AI use cases tied to Telephony and Customer Interaction Systems, and it was managed alongside enterprise responsibilities for payment systems, enterprise content management systems, CRM systems, and printing and scanning systems.
The implementation included the design and development of multiple Google Dialogflow AI Platform chatbots, with configuration of intent models, natural language understanding, and webhook fulfillment to support conversational workflows. Workstreams covered requirement analysis, functional design, development and support, and the role owned the application SDLC including writing Business Requirements Specifications and Functional Design Specifications to ensure the BRS mapped to the FDS.
Integrations were anchored on the Genesys PureConnect platform and related Genesys components, with Dialogflow bots integrated into Genesys WebChat and supported by custom handlers developed in Genesys Interaction Administrator, Interaction Designer, and Interaction Attendant. The program addressed multi-channel IVR, web chat, email, social engagement, and SMS interactions, and relied on REST and SOAP web services to exchange data with downstream systems and client applications. Front end and middleware work used standard web technologies including HTML, CSS, Bootstrap, jQuery, React, JavaScript, ASP.NET Core, and PHP to present chat interfaces and fulfillments.
Governance and rollout emphasized structured SDLC ownership and project leadership for small and medium sized IT projects, with responsibilities for requirements gathering, test phase support, writing commercial proposals, and ongoing application delivery governance. The implementation positioned the Google Dialogflow AI Platform within Abtran as a core Chatbots and Conversational AI capability supporting customer service and contact centre orchestration, while maintaining accountability for the technology roadmap and total cost of ownership of the combined application estate.
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Admiral Group | Insurance | 13000 | $5.1B | United Kingdom | Google Dialogflow AI Platform | Chatbots and Conversational AI | 2020 | n/a |
In 2020, Admiral Group deployed the Google Dialogflow AI Platform as a core component of its Customer Contact Transformation programme. The implementation targeted the Chatbots and Conversational AI category to deliver a cloud native, channel‑blended engagement layer across Operations and Claims, with explicit aims to optimise the customer experience, enrich the agent experience, drive operational efficiency and instill continuous innovation.
The technical implementation centered on Google Dialogflow AI Platform agents configured for intent classification, context management and conversational flow control, with webhook based fulfillment used to orchestrate downstream actions. Conversation routing logic and decisioning were applied in real time to resolve simple interactions and to escalate or route complex queries to human agents, supporting blended interactions that combine voice, chat, email and SMS within a single conversation thread. Unified agent desktop integration was a stated objective, enabling agents to see conversational context and handoffs without forcing customers to repeat information.
Integrations focused on connecting Dialogflow to cloud contact centre capabilities via Google CCAI and CCaaS patterns, and to multiple Systems of Record used by Claims and Operations to surface customer data during interactions. Channel endpoints spanned voice and digital channels, with architecture designed to allow orchestration between automated conversational flows and human assisted service. The design accounted for data governance and InfoSec controls around conversational data and integration points.
Governance and delivery practices were anchored in enterprise architecture oversight and agile engineering disciplines, with the Head of Tech role responsible for technical design, engineering quality, management of technical debt and alignment to technology roadmaps. The programme referenced collaboration with architecture leads, InfoSec and Data Governance, and used tools such as Jira and Confluence within scaled agile ways of working, alongside expectations for professional cloud and architecture qualifications to support ongoing capability development.
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Domino's | Retail | 21366 | $4.7B | United States | Google Dialogflow AI Platform | Chatbots and Conversational AI | 2016 | n/a |
In 2016, Domino's implemented the Google Dialogflow AI Platform to provide a conversational ordering experience. Domino's Google Dialogflow AI Platform in the Chatbots and Conversational AI category was configured to accept natural language pizza orders and simplify the customer ordering path.
The implementation centered on Dialogflow agent design, including intent modeling, entity extraction, context management, and fulfillment hooks to drive order assembly. The deployment used cloud-hosted Dialogflow agents and webhook-based fulfillment to connect the conversational layer to Domino's online ordering systems and digital ordering workflow. Rollout focused on customer-facing channels and required mapping conversational intents to order validation and payment flows within existing operational processes. The integration simplified ordering pizza through conversational technology.
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KLM Royal Dutch Airlines | Transportation | 21670 | $14.0B | Netherlands | Google Dialogflow AI Platform | Chatbots and Conversational AI | 2016 | n/a |
In 2016, KLM Royal Dutch Airlines implemented Google Dialogflow AI Platform to build BB, a booking and packing bot deployed under the Chatbots and Conversational AI category. The initiative focused on customer-facing conversational experiences to handle reservation and packing guidance queries through automated dialog flows.
Google Dialogflow AI Platform was configured to model conversational intents and entities, provide natural language understanding, and manage session state for multistep booking and packing workflows. Functional modules implemented include intent classification for reservation inquiries, entity extraction for passenger and flight details, dialog fulfillment hooks to invoke transactional booking logic, and conversation state management to support follow-up prompts and clarifications.
The deployment used a cloud-centric Dialogflow runtime integrated with KLM back-end booking services and customer messaging channels to expose BB across service touchpoints. Operational scope included customer service and digital channels teams, with governance emphasizing conversational design standards, intent lifecycle management, and monitoring of fulfillment endpoints to ensure booking and packing workflows remained consistent with airline operations.
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Marks & Spencer_x000D_ | Retail | 64000 | $18.1B | United Kingdom | Google Dialogflow AI Platform | Chatbots and Conversational AI | 2018 | n/a |
In 2018, Marks & Spencer deployed Google Dialogflow AI Platform as a strategic component of its Chatbots and Conversational AI rollout. The deployment followed a Twilio trial and a collaborative build with DVELP to create an intelligent natural language routing solution, which was rolled out nationwide.
The solution architecture pairs Twilio telephony and Speech Recognition with Google Dialogflow for natural language understanding, enabling real time transcription of caller speech into text and automated intent classification via Google Dialogflow AI Platform. Intent signals feed an IVR orchestration layer that routes calls to the appropriate department, store, or contact centre agent to resolve the customer inquiry.
Functional modules implemented include speech to text, intent determination, IVR routing, and orchestration for multi channel inbound voice handling within the Chatbots and Conversational AI category. The system was designed to handle more than one million inbound telephone calls per month and to surface caller intent to downstream agents and store contacts.
Operational scope covered nationwide store and contact centre routing, impacting customer service, contact centre operations, and store level customer handling. Governance centered on intent driven routing policies and real time speech analytics, implemented in collaboration with Twilio and DVELP, with Google Dialogflow AI Platform providing the core conversational intelligence.
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Professional Services | 6678 | $3.1B | United States | Google Dialogflow AI Platform | Chatbots and Conversational AI | 2016 | n/a |
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Buyer Intent: Companies Evaluating Google Dialogflow AI Platform
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Google Dialogflow AI Platform. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Google Dialogflow AI Platform for Chatbots and Conversational AI include:
- Radford University, a United States based Education organization with 684 Employees
- Axis Communications, a Sweden based Manufacturing company with 4210 Employees
- The Village At Terra Bella, a United States based Leisure and Hospitality organization with 10 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
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Radford University | Education | 684 | $150M | United States | 2026-03-31 |
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Axis Communications | Manufacturing | 4210 | $1.6B | Sweden | 2026-03-11 |
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The Village At Terra Bella | Leisure and Hospitality | 10 | $1M | United States | 2025-08-19 |
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Professional Services | 10 | $1M | India | 2025-03-03 |
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Consumer Packaged Goods | 3534 | $760M | United States | 2025-01-02 |
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Banking and Financial Services | 60000 | $24.8B | Netherlands | 2024-12-12 |
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Professional Services | 60 | $5M | Hong Kong | 2024-09-05 |
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Professional Services | 130000 | $38.2B | India | 2024-06-28 |
FAQ - APPS RUN THE WORLD Google Dialogflow AI Platform Coverage
Google Dialogflow AI Platform is a Chatbots and Conversational AI solution from Google.
Companies worldwide use Google Dialogflow AI Platform, from small firms to large enterprises across 21+ industries.
Organizations such as Marks & Spencer_x000D_, KLM Royal Dutch Airlines, Admiral Group, Domino's and Ticketmaster are recorded users of
Google Dialogflow AI Platform for Chatbots and Conversational AI.
Companies using Google Dialogflow AI Platform are most concentrated in Retail, Transportation and Insurance, with adoption spanning over 21 industries.
Companies using Google Dialogflow AI Platform are most concentrated in United Kingdom, Netherlands and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Google Dialogflow AI Platform across Americas, EMEA, and APAC.
Companies using Google Dialogflow AI Platform range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 66.67%.
Customers of Google Dialogflow AI Platform include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Google Dialogflow AI Platform customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Chatbots and Conversational AI.