The multi-agent AI assistant opens up new perspectives for businesses and revolutionises the management of business processes by offering intelligence capable of automating the most complex tasks.
Is there a highly experienced person in your company who knows everything about everything and can give you instant guidance in all areas of your business?
At our latest webinar, organised in conjunction with Sagacify, companies were able to explore a new approach to artificial intelligence, going well beyond the AI tools we’re all familiar with, such as ChatGPT and Copilot. The objective? To understand how an AI Assistant – and more specifically a multi-agent AI Assistant – can automate and transform complex business processes, while offering flexibility that supports long-term AI projects.
AI in business: beyond standard use cases
Today, AI in business is often confined to two main types of use: the automation of day-to-day tasks and the automation of business processes. AI tools, through chatbots or personal assistants such as ChatGPT or Copilot, are often used to answer simple questions or to improve productivity by assisting with specific tasks such as writing documents, generating code or summarising information. While these tools already deliver significant time savings, they are often limited to linear interactions and do not yet meet the more sophisticated needs of some businesses.
The technological evolution towards more advanced AI assistants is enabling companies to take the next step in automating their business processes, moving from simple operational support to assistants capable of managing several complex tasks simultaneously.
The webinar provided an opportunity to discover the possibilities of a latest-generation AI assistant capable of :
- Managing multi-function tasks
- Automate repetitive processes
- Optimising decision-making
- Increasing productivity
- Reducing costs
What is an AI Assistant?
Unlike a simple chatbot, an AI Assistant is a system capable of connecting directly to the company’s data to provide specific, contextual answers. It’s not just about answering a simple question based on an internet search, but interacting in a sophisticated way with the company’s internal systems to obtain complex information, automate processes and make informed decisions.
Examples of questions that an AI Assistant can answer:
- What amount was voted for the annual reserve fund at the 2023 Annual General Meeting?
- Can I add an item to the agenda for the AGM in three days’ time?
- Which supplier did we pay the least to this year and how much did it cost?
- Who is responsible for maintaining the lift and who should I contact if I have a problem?
Assistant IA vs Assistant IA multi-agent
Where the AI assistant really stands out is when it becomes a multi-agent AI assistant. A multi-agent assistant is capable of mobilising several specialised artificial intelligences, each with a specific function or expertise. For example, one agent could be dedicated to managing financial data, another to automating maintenance workflows, and another to managing human resources.
These agents work together to provide a more comprehensive response or solution, analysing multiple data sources and performing several tasks simultaneously. This ability to get multiple ‘agents’ to work together means that more complex requests, often inaccessible to traditional AI assistants, can be handled, such as managing enterprise data in real time or optimising complex decision-making processes.
Choosing the right AI Assistant
Deploying an AI assistant should not be seen as a one-off solution, but rather as a strategic investment that will support the company’s entire AI roadmap.
- Evolution: An AI Assistant must be able to evolve with AI technologies. For example, as new AI models emerge, the chosen solution must be able to integrate them easily, ensuring that the company remains at the forefront of innovation.
- Ownership: It is crucial that the company retains the intellectual property of its AI system. This allows the solution to be deployed on site or in the cloud of its choice, without depending on a single supplier or a ‘black box’ whose mechanisms are inaccessible.
- Durability: By choosing a technological solution that allows new models to be integrated or its architecture to be adapted, you avoid rapid obsolescence of the AI system.
- Flexibility: The choice of language model (open-source or proprietary) should be made according to needs and costs, without being locked in by a specific supplier. This allows you to keep costs under control and adapt the solution according to business requirements.
- Integration: An AI Assistant must integrate easily with all internal knowledge sources, whether they be databases, management systems or internal documents.
- Cost control: Using open-source models where appropriate helps to control deployment and operating costs, without sacrificing the quality of the answers provided.
- Quality and reliability of results: It is essential to define performance indicators (KPIs) to assess the quality and relevance of the responses provided by the AI assistant.
- Data confidentiality and security: Control of the infrastructure and data must be guaranteed. The AI assistant must be able to manage prompts and exchanged data confidentially, while complying with security standards.
How do you get started?
To successfully integrate an AI Assistant, it is crucial to prepare your organisation properly by identifying the right opportunities and structuring the project. Here are a few key steps to get you off to a good start:
- Educating teams: It is essential to train both management and operational teams in the use of AI, in order to maximise its adoption.
- Identify opportunities: Identify the business processes where an AI Assistant could have a rapid and significant impact.
- Quick Win Projects: Starting with quick win projects means you can demonstrate the added value of an AI Assistant from the very first stages of deployment.
- Find the right partner: Contact an IA supplier capable of supporting you throughout the project, from identifying your needs through to deployment and training.
- Take advantage of financial assistance: Several financial support programmes exist to help companies get their AI project off the ground quickly.
Conclusion
In short, a well-chosen AI Assistant can not only automate complex tasks, but also integrate seamlessly with a company’s digital strategy. It supports AI ambitions throughout the roadmap, offering flexibility and scalability to meet current and future needs.
The Contraste Digital and Sagacify teams are at your disposal if you would like to find out more or receive a presentation for your company.
Watch the replay of our webinar here.