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IT consulting
Clarify business issues, workflows, systems, and data opportunities, then define a roadmap that can move into implementation.
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knot-in ai is an AX/DX partner that connects business consulting, UX design, AI and data, cloud-native engineering, sales promotion, and team enablement. We help teams start small, build what gets used, and keep improving after launch.
- From strategy to implementation
- AI / Data / Cloud / UX together
- Enablement after launch
Solutions
Combine the expertise needed from strategy to growth.
IT consulting
Clarify business issues, workflows, systems, and data opportunities, then define a roadmap that can move into implementation.
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UX design
Use research, journey design, prototyping, and UI design to create services customers and teams can use with confidence.
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AI and data science
Validate and implement generative AI, machine learning, analytics, RAG, and business automation for practical use cases.
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Cloud-native engineering
Build web apps, APIs, data platforms, and cloud infrastructure with scalability and operations in mind.
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Sales promotion
Shape value propositions, landing pages, sales materials, campaigns, and customer journeys that support growth.
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Training and enablement
Design AI, data, development, and workflow training so teams can keep improving independently.
Talk to us →02
UX design
Use research, journey design, prototyping, and UI design to create services customers and teams can use with confidence.
Talk to us →03
AI and data science
Validate and implement generative AI, machine learning, analytics, RAG, and business automation for practical use cases.
Talk to us →04
Cloud-native engineering
Build web apps, APIs, data platforms, and cloud infrastructure with scalability and operations in mind.
Talk to us →05
Sales promotion
Shape value propositions, landing pages, sales materials, campaigns, and customer journeys that support growth.
Talk to us →06
Training and enablement
Design AI, data, development, and workflow training so teams can keep improving independently.
Talk to us →Process
Start small, validate quickly, and grow what works.
We do not assume a large transformation program on day one. We reduce risk by moving through discovery, short validation, implementation, and enablement.
How we work
Map the current state
Review business goals, workflows, data, systems, and customer touchpoints to narrow the first theme.
Design the experience
Clarify the user, team, and operator experience, then define scope, success metrics, and required functions.
Build and validate
Combine AI, data, cloud, and applications, then iterate through short build-and-review cycles.
Enable adoption
Create operating rules, documentation, training, and improvement loops so the work keeps moving.
Public case studies
DX/AX patterns from public case studies.
Generative AI / secure platform
Daiichi Sankyo
Built an internal generative AI system with Azure OpenAI Service as part of an ABCDX transformation strategy.
Relevant to AI policy, security requirements, and enterprise-ready AI environments.
View sourceMicrosoft Customer StoryAI portal / RAG
Japan Post
Rolled out a generative AI portal and created more than 70 mini apps in six months to grow practical usage.
A useful reference for expanding small use cases while building adoption and internal capability.
View sourceMicrosoft Customer StoryDelivery experience / location APIs
7-Eleven Japan
Used mobility services in 7NOW to show delivery location and estimated arrival, connecting online and store experiences.
Relevant to customer experience, API integration, and scalable service design.
View sourceGoogle Cloud Customer StorySales DX / data activation
Sansan
Connected Looker and Gemini so sales data visualization can lead directly to concrete actions.
Relevant to using data platforms and AI to connect decisions with behavior change.
View sourceGoogle Cloud Customer StoryDX training / field adoption
JR East
Expanded app development and usage through DX professionals while targeting 30,000 digitally skilled employees.
A reference for hands-on training and field-led improvement cycles.
View sourceMicrosoft Customer StoryDX talent development / skill transfer
Shiseido
Used Google Cloud Skills Boost to develop internal digital talent after relying heavily on external contractors.
Relevant to enablement design, skill transfer, and moving from outsourcing toward internal capability.
View sourceGoogle Cloud Customer Story*These are case studies from other companies.
FAQ
Frequently asked questions
When can we start talking to you?
You can talk to us before strategy is clear, after initial validation, during implementation, or when you need enablement and training.
Can we ask only about AI adoption?
Yes. We support focused themes such as generative AI, RAG, analytics, and automation, as well as broader workflow and cloud implementation.
Can we ask only about UX or promotion?
Yes. We support service experience design, landing pages, sales materials, campaign planning, and customer journey improvement.
Can you support internal enablement?
Yes. We help with operating models, hands-on training, documentation, and knowledge transfer so teams can keep improving.
Are the external cases knot-in ai results?
No. The external cases are public reference examples. They do not indicate customer work, implementation results, or partnerships by knot-in ai.
Discuss AX/DX strategy, implementation, and adoption together.
Share your business issue, workflow, customer touchpoint, or AI/data/cloud/UX theme. We will help clarify the first practical scope.