Digirise's New AI Internalization Support Service: FDE
Digirise Inc., headquartered in Minato, Tokyo, has officially launched a new service aimed at supporting the internalization of AI within companies, dubbed the FDE (Forward Deployed Engineer) service. This initiative marks an important step towards enhancing productivity and efficiency through AI technology in various industries. With a proven track record of assisting over 560 companies and nurturing more than 40,000 AI professionals, the launch of the FDE service solidifies Digirise's position as a leader in AI implementation support.
Overview of the FDE Service
The FDE service is designed to meet the growing demand among businesses that, after establishing a foundation in AI through training, now seek to fully transform their operations with advanced AI systems. Digirise's dedicated AI engineers will work closely on-site with client organizations, guiding them through the entire process - from initial AI diagnostics and proof of concept (PoC) to complete system development and integration. Additionally, Digirise is currently inviting partnerships from organizations interested in collaborating on the FDE initiative.
The Growing Need for AI Internalization
Recent trends have highlighted a shift in focus among companies that have successfully adopted basic AI training. Enterprises are now expressing a stronger desire to ‘reengineer’ their operations through AI, moving beyond simple automation to develop comprehensive systems that enhance overall productivity. This demand illustrates a readiness to invest in the infrastructure necessary for AI maturity.
Global Trends in FDE
Notably, global leaders in technology are also adopting the FDE model. For instance, Fujitsu's recent partnership with US companies Anthropic and OpenAI underscores the increasing acceptance of this operational approach. By deploying AI engineers directly to client sites, these companies aim to resolve client challenges effectively and create tailor-made AI solutions. However, mid-sized enterprises often face obstacles in accessing these benefits due to the scarcity of specialized talent.
Digirise aims to fill this gap with its FDE service, leveraging the extensive knowledge gained from previous consulting and training engagements.
AI Maturity Model
The foundation for Digirise’s service is based on its unique AI maturity model, which categorizes the level of AI usage across organizations into five stages:
1.
AI Mastery: Employees utilize generative AI in daily tasks, laying the groundwork.
2.
Routine Automation: Common tasks are automated using AI, allowing for increased operational efficiency.
3.
Workflow Reconstruction: Cross-departmental workflows are redesigned using AI technologies.
4.
Simplified Coding: Organizations enable staff to build AI applications and automation solutions independently.
5.
Full-scale Development: AI systems are integrated into core operations through thorough development processes.
The FDE service will specifically engage at the latter stages to enhance organizational productivity significantly.
Key Features of the FDE Service
Digirise’s FDE has three standout features:
1.
Dedicated On-Site Engineers: FDEs will spend one to five days on-site per week, providing immediate assistance and fostering seamless communication through platforms like Slack and Teams.
2.
Integrated Approach: The service combines training, consulting, and development into a cohesive experience rather than stopping at proposal stages. Utilizing innovative tools like Claude Code, Dify, and Cursor, the team will implement ‘active AI’ solutions alongside necessary education and governance structures.
3.
Vendor Neutrality and Subsidy Assistance: FDE will focus on constructing an optimal AI stack without being restricted to specific SaaS or models, while also assisting clients in utilizing various subsidies to reduce costs.
Implementation Phases
The deployment of the FDE service will unfold in three phases:
- - Phase 1: Initial AI diagnostics, stakeholder interviews, problem identification, and strategic planning over 1-2 weeks.
- - Phase 2: Tailored consultations, developing workflows, and validating PoC within a three-month period.
- - Phase 3: Complete development of AI systems over approximately three months, ensuring integration and operational governance.
Success Stories and Case Studies
Digirise's approach has already successfully helped numerous companies in various sectors, including retail, finance, and real estate. Some significant outcomes include:
- - Assisting a leading internet group in generating an estimated 6,000 hours monthly through AI integration.
- - Transforming a law firm’s workflow, leading to an 85% reduction in email drafting and a 75% decrease in documentation preparation time.
- - Implementing automated processes for a retail business, showcasing how AI can streamline operations significantly.
Future Prospects and Conclusion
In light of these robust developments, Digirise anticipates that its initiatives will not only promote internal AI capabilities among various enterprises but will also elevate the company to the forefront of AI support in Japan. As AI continues to transform business operations, Digirise remains committed to guiding organizations through every step of the process, ultimately aiming to boost Japan’s competitiveness in the global AI landscape. Companies interested in AI transformation, including those looking to partner as FDE collaborators, are encouraged to contact Digirise for consultations and further information on advancing their AI journey.