List of In-House Chatbots and Conversational AI Customers
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Since 2010, our global team of researchers has been studying In-House Chatbots and Conversational AI 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 In-House Chatbots and Conversational AI 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 In-House Chatbots and Conversational AI for Chatbots and Conversational AI include: NatWest Group, a United Kingdom based Insurance organisation with 59400 employees and revenues of $19.98 billion, PlayStation London Studio, a United Kingdom based Manufacturing organisation with 1411 employees and revenues of $8.54 billion, Asiana Airlines, a South Korea based Transportation organisation with 8333 employees and revenues of $4.60 billion, William Hill, a United Kingdom based Professional Services organisation with 12000 employees and revenues of $1.60 billion, Metropolitan Thames Valley, a United Kingdom based Non Profit organisation with 1938 employees and revenues of $498.0 million and many others.
Contact us if you need a completed and verified list of companies using In-House Chatbots and Conversational AI, 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 software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Asiana Airlines | Transportation | 8333 | $4.6B | South Korea | In-House Applications | In-House Chatbots and Conversational AI | Chatbots and Conversational AI | 2019 | n/a |
In 2019 Asiana Airlines implemented In-House Chatbots and Conversational AI to build a customer-facing conversational layer under the Chatbots and Conversational AI category. The project work was led and operated by Asiana IDT engineers who developed and ran the solution using C#, JavaScript, CSS, SQL, and Linux, and who deployed the runtime and services on Microsoft Azure as the primary cloud hosting environment. The In-House Chatbots and Conversational AI implementation included phased delivery, with a Phase 2 test effort in March and April 2019 and a Phase 4 development and channel expansion run from September 2019 through March 2020. Channel expansions explicitly added RCS, WeChat, and Kakao Openbuilder, and language support was extended to include Chinese, while administrative tooling was upgraded to an enhanced admin page.
The technical configuration encompassed conversational runtime services on Azure, front end channel connectors for messaging platforms, and an upgraded administration console for content and session management, leveraging the development stack cited above. Testing and quality assurance were conducted as explicit project roles, with engineers performing functional verification for channel compatibility and admin page upgrades. Application management responsibilities included troubleshooting customer technical issues and ongoing operations.
Integrations spanned cross-organizational file exchange processes, where Asiana engineers acted as a liaison with Star Alliance airline networks to exchange schedule files over UNIX servers using FTP and SFTP, and developers wrote shell scripts to automate those file exchanges. The implementation work sits alongside platform engineering efforts, for example a Jenkins Server Function and Security Improvement Project executed in 2021 that reflects broader CI CD and operational hardening activities in the application portfolio.
Project governance followed a phased project leadership model, with named project leader roles overseeing development and channel rollouts and test engineer roles validating releases. Operational ownership remains with Asiana IDT engineering teams in Seoul, South Korea, who continue to operate and evolve the In-House Chatbots and Conversational AI solution within customer service and schedule exchange workflows.
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Department for Education | Education | 7298 | $92M | United Kingdom | In-House Applications | In-House Chatbots and Conversational AI | Chatbots and Conversational AI | 2017 | n/a |
In 2017, Bolton College launched Ada, a campus digital assistant that forms the foundation for In-House Chatbots and Conversational AI initiatives referenced by the Department for Education. The Department for Education cited the Ada service in its 2019 EdTech Strategy, connecting the college-level implementation to sector policy discussions.
Bolton College implemented core Chatbots and Conversational AI capabilities, including natural language question and answer workflows, timetabling and exam query resolution, campus services routing, and subject topic assistance. The In-House Chatbots and Conversational AI deployment also supported business process interactions, for example providing GCSE results day information through conversational flows, and treated Ada’s question set as a shared knowledge base for reuse and extension.
Operational rollout moved from a Bolton College production service into a Jisc-led pilot network, with a trial running until Easter 2022 at Ayrshire, Blackpool and The Fylde, Sandwell, and Yeovil colleges, where Ada’s existing question set was shared and adapted collaboratively by staff and students. The National Centre for Artificial Intelligence in Tertiary Education, established April 2021 and led by Jisc, framed the evaluation and potential scale of the In-House Chatbots and Conversational AI approach for wider tertiary sector adoption.
Governance emphasized collaborative content curation with staff and students, ethical design principles promoted by the National Centre for AI, and a formal evaluation period at the end of the pilot to decide on further development. Project stakeholders described the objective of reducing staff workload by routing routine student queries to the chatbot to free staff for face to face support, and Bolton College’s Ada received sector recognition including a 2019 Beacon Award from the Association of Colleges, reinforcing the technical and operational credibility of the in-house conversational assistant.
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Metropolitan Thames Valley | Non Profit | 1938 | $498M | United Kingdom | In-House Applications | In-House Chatbots and Conversational AI | Chatbots and Conversational AI | 2018 | n/a |
In 2018, Metropolitan Thames Valley deployed In-House Chatbots and Conversational AI to strengthen resident-facing customer engagement. The In-House Chatbots and Conversational AI implementation targeted Chatbots and Conversational AI use cases to automate routine inquiries, triage service requests, and surface guidance across digital engagement touchpoints.
The solution was built as an in-house application architecture leveraging natural language understanding, conversational flow management, and a centralized knowledge base to maintain service and policy content. Functional capabilities implemented included intent classification, contextual dialogue flows, scripted response libraries, service request triage logic, and defined escalation paths to human agents for complex cases.
Operational governance was assigned to the Customer Engagement function, with the Customer Council and resident engagement activities such as YourVoice used to inform content prioritization and conversational design. Ongoing stewardship was retained internally through a product-style team responsible for content governance, conversation review processes, accessibility compliance for residents, and iterative updates to the in-house chatbot platform.
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Insurance | 59400 | $20.0B | United Kingdom | In-House Applications | In-House Chatbots and Conversational AI | Chatbots and Conversational AI | 2018 | n/a |
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Manufacturing | 1411 | $8.5B | United Kingdom | In-House Applications | In-House Chatbots and Conversational AI | Chatbots and Conversational AI | 2018 | n/a |
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Professional Services | 783 | $137M | United Kingdom | In-House Applications | In-House Chatbots and Conversational AI | Chatbots and Conversational AI | 2018 | n/a |
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Utilities | 1100 | $327M | United Kingdom | In-House Applications | In-House Chatbots and Conversational AI | Chatbots and Conversational AI | 2020 | n/a |
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Professional Services | 12000 | $1.6B | United Kingdom | In-House Applications | In-House Chatbots and Conversational AI | Chatbots and Conversational AI | 2022 | n/a |
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Buyer Intent: Companies Evaluating In-House Chatbots and Conversational AI
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FAQ - APPS RUN THE WORLD In-House Chatbots and Conversational AI Coverage
In-House Chatbots and Conversational AI is a Chatbots and Conversational AI solution from In-House Applications.
Companies worldwide use In-House Chatbots and Conversational AI, from small firms to large enterprises across 21+ industries.
Organizations such as NatWest Group, PlayStation London Studio, Asiana Airlines, William Hill and Metropolitan Thames Valley are recorded users of
In-House Chatbots and Conversational AI for Chatbots and Conversational AI.
Companies using In-House Chatbots and Conversational AI are most concentrated in Insurance, Manufacturing and Transportation, with adoption spanning over 21 industries.
Companies using In-House Chatbots and Conversational AI are most concentrated in United Kingdom and South Korea, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of In-House Chatbots and Conversational AI across Americas, EMEA, and APAC.
Companies using In-House Chatbots and Conversational AI range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 12.5%, large organizations with 1,001-10,000 employees - 62.5%, and global enterprises with 10,000+ employees - 25%.
Customers of In-House Chatbots and Conversational AI 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 In-House Chatbots and Conversational AI 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.