Applied AI
Bring AI into a specific task, test its quality on real data, then integrate it into a workflow or product.
CAPABILITIES
AI needs a real job to do.
Start with the task, the available data, and a way to measure the result. Choose the technology after those are clear.
Find the right use case
Identify repeated work or bottlenecks where AI can help, with clear evaluation criteria.
Knowledge assistants
Help teams find and use information from documents and data they are allowed to access.
Workflow automation
Process documents, classify requests, or support repetitive steps in an existing process.
AI in products
Add search, recommendations, or assistance to an existing user experience.
Evaluation & monitoring
Check output quality, define approval steps, and track usage costs.
Test the right task before scaling.
From prototype to everyday tool, each step needs evidence that it works.
- 01 / 04
Select
Understand the workflow, data, and intended result.
- 02 / 04
Test
Try the idea on representative data and situations.
- 03 / 04
Integrate
Connect it to existing tools or products and test failure cases.
- 04 / 04
Monitor
Measure quality, gather feedback, and adjust as work changes.
WORK IN PRACTICE
AI in real products.
FinTech / PartnershipBizHub
AI Agent for tax consulting and financial health assessment, offering actionable recommendations and compliance guidance.
AI Agent / PartnershipEcommerce Assistant
AI Agent acting as a sales assistant: consulting, recommending products, and closing orders based on real-time data.
Culture / PartnershipDi san Viet
Digital museum app: explore Vietnamese heritage, artifacts, and relics accompanied by an AI chatbot.
What you receive
Agreed outputs include a way to check quality and handle uncertain AI results.
A prioritized use case and evaluation criteria
A prototype or AI feature within the agreed scope
Guidelines for checking outputs and handling uncertainty
Instructions for use, monitoring, and improvement
Frequently asked questions
Which task takes the most time?
Start with one concrete situation to see whether AI can help your team.
Discuss a project