Winning with GenAI Adoption from a Management Perspective
A hands-on PoC to move fast, keep costs down, and build AI skills in-house
Challenges in Operations and GenAI Adoption
Operational Challenges
Labor shortages and operational inefficiencies are common challenges for Japanese companies.
Many companies likely want to strengthen service development and sales activities to grow revenue, yet struggle to find the capacity because day-to-day operations are too time-consuming and complex.
GenAI is drawing attention as a way to streamline operations and refocus on work that leverages your company’s strengths.
Challenges in GenAI Adoption
Even when organizations try to move forward with GenAI adoption, the following issues can become “roadblocks,” making it difficult to drive progress quickly.
- Not sure how to proceed with the evaluation
- Concerned about security risks
- No designers or engineers to lead the effort
GenAI is not a “brain” that proactively produces the right answers on its own—it’s a “component” that delivers value only when embedded in a properly designed operational process. Depending on how GenAI usage is designed, the risk of failure is far from negligible.
While facing urgent challenges such as labor shortages and inefficiency, many companies also lack the know-how and technical expertise needed to effectively leverage GenAI.
Our Services: Supporting Each Step of GenAI Adoption and Your Path to Self-Reliance
1
Analyze Challenges and Narrow Down the Best GenAI Use Cases
Success with GenAI depends not on “tool selection,” but on “which work (Where)” you apply GenAI to and “how (How)” you use it.
In addition to consulting grounded in proven problem-solving methods, we work with your team through workshop-style sessions to identify the “true issues” from a management perspective, with active participation from your stakeholders.
2
Define Objectives and Goals
We design your KGI and KPI framework by working backward from your business objectives.
3
PoC (Proof of Concept)
AI adoption is still in its early days, so there is no single “right answer” that guarantees results. For each company’s unique challenges, it’s essential to iterate through trial and error to discover how GenAI can drive outcomes.
That’s where a PoC (Proof of Concept) becomes critical. Through a PoC, you can determine where GenAI can be applied, make decisions based on quantitative results, and build internal alignment—enabling GenAI adoption that avoids costly missteps.
We provide training on how to use GenAI—such as prompt design—and then work with you to design how GenAI should be applied in practice. You can also use the PoC as an opportunity for education and skills development.
For the PoC technology platform, we use Dify, which enables rapid system development without programming. Compared to full-scratch development, it can reduce PoC time and cost to less than one-tenth.
4
Design and Implement the Production-Ready Solution
Leveraging our strengths in management issue analysis and solution design, we focus primarily on challenge analysis, goal setting, and PoCs.
For production rollout, we support you as a PMO (project management office). This includes neutral support such as drafting an RFP (Request for Proposal), selecting vendors and platforms, and managing the chosen implementation vendor.
On security, we help you assess your operations and data, and support the creation of security guidelines that balance risk and return.
5
Operations
Based on the goals you set, it’s important to continuously review your systems and processes in line with user feedback and ongoing advances in GenAI technology.
We support ongoing measurement and continuous improvement.
To help your organization build GenAI expertise in-house, we provide the knowledge and hands-on support you need as a partner at every step of the GenAI adoption journey outlined above.
The “Four Biggest Causes” of Failed GenAI Adoption
When GenAI adoption fails, four factors are commonly at play.
The “Four Biggest Causes” of Failure
| Starting with tool selection | Instead of clarifying “what’s causing the problem” and “what outcomes you want,” the project becomes about deploying a tool—making it hard to achieve impact. |
| Unclear objectives | When objectives aren’t clearly defined or shared among stakeholders, the project often loses direction and drifts. |
| Not defining success metrics | Because there are few established benchmarks for GenAI adoption, defining success metrics isn’t easy. However, if you start without them, evaluating outcomes (including ROI) becomes difficult, and the risk of failure increases. |
| Outsourcing everything and retaining no internal know-how | If you rely too heavily on external vendors or take a passive “teach us” stance, it becomes difficult to build internal, experience-based knowledge. |
From challenge analysis through implementation and operations, we provide hands-on, side-by-side support for a project your team drives. This approach helps you avoid these “four biggest causes” of failure.
Our Strengths
We leverage our expertise in strategy, GenAI, and security to support your GenAI adoption initiative end to end.
Strengths
| Hands-on, side-by-side support | We move the project forward in a workshop format, incorporating training as needed. Your team can build and retain practical GenAI know-how. |
| Expertise in GenAI and security | We support you by leveraging the technical and security expertise gained through developing and operating our own AI chatbots, including GenAI models like GPT and Claude and the Azure OpenAI platform. |
| Experience in strategy and project execution | We drive projects by leveraging experience in digital marketing strategy grounded in management strategy, as well as designing and operating large-scale initiatives. |
Service Comparison
Here’s a comparison of typical outsourced PoC support services and our workshop-based PoC support.
Workshop-based PoC Support (Our Service) | Outsourced PoC Support | |
|---|---|---|
Decision-making on project direction | Discuss strategy starting from management challenges, then define objectives | Define, agree on, and execute the scope to be outsourced |
Planning phase | Best suited for the exploratory phase, where you iterate quickly while refining the purpose itself | Best suited when detailed requirements are already finalized |
Planning & execution ownership | Jointly executed by the client and the provider (us) | Executed by the provider |
Your team’s workload | Your team members need to participate in the planning | Minimal effort since you can “hand it all off” |
Project risk | Delay risk if internal resources are insufficient | Risk that adoption becomes the goal itself |
Building prompt and GenAI know-how | Internalize know-how through hands-on experience | Hard to build know-how because there’s no chance to practice |
Your Partner for “Starting GenAI Utilization In-House—Right Now”
We help customers who want to:
- Start exploring concrete GenAI use cases right away
- Internalize GenAI “mindsets” and “how-to” as a company capability
- Have a hands-on partner who can adapt as you go
…and guide your GenAI adoption to success.
Free consultation—feel free to reach out anytime