ELYSAI
AI TRANSFORMATION ENGINEERING

From an AI plan toa system that delivers in daily work.

You have an idea that would change how the work runs, and a PoC has shown it can. What is needed next is building it into something the team can actually use.

ELYSAI works inside your team to map the work and start with the improvement that matters most, connecting AI to the systems you already run — through development, production rollout and measurement.

Discuss your operationsSee how it works in practice

The first conversation is online and free. Nothing to prepare beforehand.

WHO WE WORK WITH

For companies facing these challenges.

  • AI is a priority, but you have not decided which workflow to start with
  • Your PoC showed promise, but you have not been able to move into production
  • You have a strategy or plan, but lack the people or team to implement it
  • Your internal team understands the business but needs additional AI and software engineering expertise or capacity
ILLUSTRATION

Where the work changes, and how.

These are illustrations of how a workflow could be rebuilt, not delivered projects. Impact depends on the work and the state of the data, so no figures are shown.

Illustration

Document intake and data entry

Documents arrive in a different format from every counterparty, and the fields are retyped by hand. Checking and correcting takes time, and accuracy varies by person.

  1. Intake
  2. Field extraction
  3. Items flagged for review
  4. Exception routing
  5. Written to the system
People handle
Checking what was extracted, and judging documents that are incomplete or off-format
What to measure
Total time including checking and correction, error rate, number of cases that still needed manual work
Illustration

Internal enquiry handling

Questions about policy and procedure land on the same few people, and finding the basis for an answer takes time. The level of detail varies from answer to answer.

  1. Classify the enquiry
  2. Find the source material
  3. Draft the answer
  4. Approve or hand over
People handle
Approving the answer, and taking the cases that need judgement
What to measure
Time to a first answer, rework rate, how often the answer was actually used
TEAM

Who you would be working with.

The founders take the first conversation themselves. Who is involved after that, and in what shape, is decided together once the problem is clear.

  • CEO & Co-FounderTran Thuy Linh

    CEO & Co-Founder of ELYSAI, leading business strategy, project execution, organization building, and talent development. After graduating from National Economics University in Vietnam, she developed experience in project management and international business development, building a management style that connects strategy with day-to-day execution. At ELYSAI, she is building the Japan–Vietnam business foundation and driving the company's AI Transformation business, with a focus on turning AI initiatives into practical operational and business outcomes.

  • CTO & Co-FounderHoang Ngoc Sinh

    CTO & Co-Founder of ELYSAI with 15+ years of experience leading projects end-to-end, from planning and requirements definition through architecture, development, production rollout, and operations. He specializes in working directly with customers to define business problems, assess technical feasibility, and turn ideas into production systems. His career spans roles from QA Tester and Project Manager to Executive Officer at a Japanese company. He holds Google certifications in AI and Project Management as well as JLPT N1, and leads ELYSAI's technology strategy around AI Transformation and Forward Deployed Engineering.

Meet the team
Services

From business challenges to AI in everyday operations.

We support problem definition, feasibility and impact validation, design and development, production deployment, operations and adoption. We join at the stage you need to help transform your workflows with AI.

  1. 01
    AI Transformation DiscoveryThe problem to start with, and a basis for the investment decision
  2. 02
    Forward Deployed BuildQuick Win: prioritise small, high-value improvements, deliver quickly and measure the impact.
  3. 03
    Production & ScaleThe organisation can keep using and operating it
Explore how we can help
DEFINITION

From introducing AI to transforming operations.

ELYSAI supports both AI use in individual tasks and the redesign and adoption of new workflows across your operations.

ApproachIntended outcome
Introducing AIAI is added to the existing workflowMore efficient individual tasks
AI transformationRedesign workflows and people’s roles around the use of AIHigher productivity and quality across operations
PROCESS

The ELYSAI AX Loop

Discover identifies business challenges; Define sets priorities and an impact hypothesis. Build implements and tests the solution, Deploy brings it into production, and Scale supports adoption and expansion. Measured results and user feedback guide the next Discover cycle.

PROBLEMAre we focusing on a problem worth solving?
  1. 01 · DISCOVERProblem discoveryWhere are the obstacles to better business results?
  2. 02 · DEFINEDefine the problem and hypothesisWhich problem should we prioritize, and what impact should we aim for?
SOLUTIONDoes the solution deliver value in everyday operations?
  1. 03 · BUILDBuild & validateBuild a focused solution and test its expected impact
  2. 04 · DEPLOYProduction deploymentCan it fit into existing workflows and operate reliably?
  3. 05 · SCALEAdoption & scaleCan sustained use extend its business impact?
Explore our approach to AI transformation
DELIVERY MODEL

Carrying the context from concept to product.

ELYSAI supports you from shaping the concept and running the PoC through to building the production system. The business background, constraints and reasons behind design decisions that validation brings to light become the shared foundation for development. They also inform AI-assisted design, build and testing, which engineers review — so development moves faster with fewer misunderstandings and less rework.

How we work: FDE
Deciding the problem
Setting out the purpose, flow and constraints of the work as common ground
Deciding the technology
Choosing an approach from what validation showed, and recording why
Building the production system
Using the shared context to guide AI-assisted work, with engineers checking it fits the business
Getting it into use
Designing where a person checks and where exceptions go
Checking it worked
Measuring against the agreed indicator and deciding the next improvement
BLOG

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FAQ

Frequently Asked Questions

The questions we are asked most often before a first conversation.

Contact

Take the next step with AI.

From shaping an idea and testing feasibility to preparing data, integrating systems, deploying and supporting adoption, tell us where you are and what you want to achieve.

Talk to us about your AI challenge

60 minutes, online, at no cost