Fujitsu’s Azure AI Agent Service is transforming the effectiveness of sales.
Boosting sales efficiency to focus on high-value projects
Fujitsu, a Japanese ICT giant, innovates to increase output and efficiency. Fujitsu wanted to improve sales efficiency by automating the tedious sales proposal process.
The substantial time commitment required to create proposals prevented sales teams from concentrating on high-value tasks like strategic planning, fostering client relationships, and customising solutions to meet the demands of customers. New salespeople found it difficult to obtain scattered expertise and manage Fujitsu’s wide range of products. The identification of current data sources, their calibration and consolidation from across Fujitsu’s extensive infrastructure, and the creation of precise, client-specific offers presented difficulties for both new and experienced employees.
In order to overcome these obstacles, Fujitsu created an AI-powered solution that automates tedious work, freeing up sales people to concentrate on more strategic, customer-focused initiatives.
Using Azure AI Agent Service to automate thinking
Fujitsu leveraged Azure AI Agent Service within Azure AI Foundry to create a scalable, intelligent AI agent for sales automation, extending its long-standing collaboration with Microsoft. The project, which was overseen by Hirotaka Ito, Lead Engineer of AI, Digital System Platform Unit, Fujitsu, made use of Microsoft’s platform-as-a-service (PaaS) capabilities to guarantee a smooth integration into Fujitsu’s current workflows. This allowed the agent to handle foundational proposal tasks that previously required teams to put in hours of labour.
In a fraction of the time, the AI-powered agent synthesises data from many sources, analyses user inputs, and generates accurate, current proposals. Fujitsu Kozuchi Composite AI, which is the foundation of the solution, is driven by Semantic Kernel, a program that coordinates several specialised AI agents. By continually retrieving and synthesising information from disparate internal sources, these agents guarantee that proposals are customised and informed by data.
“We needed more than just retrieval-automation-generation (RAG), conversational AI, and conventional generative AI,” Ito-san explains. “We are orchestrating multiple specialised AI agents and an orchestrator AI to coordinate them to answer questions as a team using Microsoft’s Semantic Kernel and Azure AI Agent Service,” he continues.
In addition to creating proposals, the AI agent also functions as a knowledge retrieval system, giving new hires strategic direction and comprehensive product information.
Using input from sales teams, Fujitsu improved the AI agent’s usability throughout the proof-of-concept stage prior to its complete implementation. The AI agent is one of the 38,000 users empowered by Fujitsu AI tools.
Creating an influence and influencing AI’s future at Fujitsu
Measurable outcomes have been obtained since the agent’s launch. The production of sales proposals has increased by 67%, saving countless hours that might be used for strategic planning and client interaction. For filling in knowledge gaps and enabling them to forge closer bonds with customers, sales teams have commended the tool.
Fujitsu intends to advance the usage of this and other AI agents in the future to tackle more general organisational issues, such as automating strategic planning, boosting knowledge exchange, and increasing customer contact. Optimising AI agent collaboration and tackling increasingly complicated tasks are the goals of future versions.
The insights gained from this internal project are also providing important direction for other AI-based projects at Fujitsu. Its development and principles are contributing to the company’s ongoing initiatives, such as Fujitsu Kozuchi and its Composite AI platform, which is a collection of safe and dependable AI services used by Fujitsu’s clients to increase connectivity among enterprise tools and boost employee productivity and workflow.
Teams at Fujitsu are investigating how Azure AI Agent Service could improve and increase the scalability and capabilities of Composite AI, which is used by a large number of Fujitsu’s clients. The capabilities of these tools could be further enhanced by Azure AI Agent Service’s modular design and orchestration characteristics, according to Ito.
Utilising Microsoft Azure’s cutting-edge tools and infrastructure, Fujitsu has increased sales productivity and set the stage for a more extensive AI-driven revolution. Through this collaboration, Fujitsu and its clients may benefit from how AI automation can strengthen teams, streamline processes, and add value.
Composite AI
What is Composite AI?
A system that integrates many AI technologies to produce a more sophisticated AI system is known as composite AI. Compared to traditional AI, which often employs a single methodology, this approach to AI is more adaptable and advanced.
What is the process of composite AI?
It blends many AI methods like computer vision, natural language processing, and machine learning.
- It improves problem-solving skills and enables businesses to more successfully address difficult problems.
- Even with smaller datasets, it can yield insightful information, enhance decision-making, and offer a greater contextual knowledge.
What advantages does composite AI offer?
- It expands the techniques of AI abstraction.
- It offers a platform for more efficiently resolving a greater variety of business issues.
- It can enhance performance and more successfully handle challenging issues.
