A custom AI solution is an intelligent ecosystem that connects people, data, and proprietary processes. It’s a strategic ally that simplifies business complexity.That’s all fantastic! But why do 95% of AI projects fail?Discover what you need to know and how we can help you build your personalized AI solution, without unpleasant surprises.
Generic AI tools operate in silos: one task, one tool.An AI enterprise solution, however, is an intelligent system designed to integrate with your existing systems (ERP, CRM, knowledge base, operations, etc.). It is capable of orchestrating end-to-end business processes and ensures full control over your data.In practice, adopting AI solutions for businesses means integrating artificial intelligence into the organization’s key processes to achieve measurable results with a real business impact.
The right questions to ask yourself
Inference determines where, how, and on what data the AI operates.
Knowing how to choose and manage inference models is essential to maintain security, privacy, and compliance, preventing business data from falling out of control.
An effective chunking strategy divides and organizes business data so that the AI can return precise, up-to-date, and relevant information.
This ensures chatbots, knowledge bases, and search engines truly meet user needs and adapt to evolving business processes.
Every day, new challenges force companies to rethink how to automate, integrate, and protect data and processes. Developing a tailor-made AI solution is the only effective answer when a standard tool is no longer sufficient.Not a blind race, but a well-reasoned AI project, tailored to your highest-impact business areas.
Talk to us about your challengesYour organization must coordinate activities involving multiple teams and business systems, going beyond the simple automation of a single task.
You handle confidential, sensitive, or regulated information: security and compliance are a priority for your company.
You need a solution that integrates natively with existing ERP, CRM, and platforms, without forcing compromises.
You don't just want to 'optimize': you want to create agile services and operations that differentiate you from competitors and are not easily replicable.
With SparkFabrik, you bring agentic Artificial Intelligence into your company, designed to concretely address your operational challenges. Whether you want to automate complex processes, make data truly accessible, or enhance marketing, you are in the right place.
We work alongside you to develop autonomous agents that make business flows more efficient. The application scenarios are endless: from document management to customer support.
Start here →Sales Teams: CRMs enriched with sentiment analysis, data enrichment, and agents like appointment setters, to focus attention only on the most promising leads.
Healthcare Facilities: Automation of clinical information management, with full protection of patient privacy and confidentiality.
Service Companies: AI agents that sort internal requests, respond promptly, and immediately involve the right contact person for every need.
Human Resources: Automatic CV screening and support for new employee onboarding.
The AI technological partner must know how to integrate tailor-made agentic solutions into the company’s real processes, guaranteeing security, scalability, and human control.
In the White Paper “Agentic AI: 6 immediately realizable application scenarios” you will find concrete examples and the SparkFabrik methodology for transforming AI from a simple promise into an operational result.
At SparkFabrik, we adopt a proven methodology: we always start from the concrete needs of the client, we design modular and open architectures (without technological lock-in), we work with low-risk pilot projects, and we focus on measurable and concrete results.
A custom AI solution is an artificial intelligence system designed specifically for a company's processes, data, and objectives. It uses agentic architectures, where multiple AI agents with specialized tasks collaborate and integrate with your business systems, offering a solution perfectly embedded in daily activities.
A custom AI solution is created based on your specific operational needs, adapting to the systems in use and foreseeing personalized flows. A generic solution, on the other hand, is pre-packaged, offers standard functions, and does not deeply integrate with your processes or data: it often consists of isolated tools that do not communicate with each other. Thus, they intervene only on single activities and not on the entire process, with limited results.
Inference is the phase in which the already trained Artificial Intelligence model is used to process new data and produce useful output: this happens in real-time, on real business data, often directly within the company's systems or in the cloud, depending on security and performance needs. The technological partner can suggest the most suitable Inference model for your needs.
Chunking consists of dividing large volumes of data or text into smaller, orderly portions ('chunks'), facilitating analysis and searching for AI models. A good chunking strategy increases the precision and timeliness of responses, both in chatbots and in semantic engines or knowledge bases.
The AI is connected via connectors and APIs to business systems (ERP, CRM, management systems), dialogues with them, and automates existing processes without replacing the technologies already in use.
If you operate in a regulated sector, data security is not just strategic, but a real requirement that precludes standard tools. With a custom AI solution, you have full control over the data: you decide where it resides, how it is processed, and who can access it. The infrastructure can be on-premise or cloud, always in compliance with current regulations (such as GDPR), with maximum attention to security, traceability, and privacy protection.
Agentic AI is based on an architecture composed of several AI agents, each responsible for a specific task (such as analysis, automation, interaction with users). These agents collaborate, communicate, and coordinate activities among themselves, managing complex processes while maintaining human control over critical decisions.
Recap: 95% of AI projects fail. Do you want to be part of that 5% that truly succeeds?
Let's talk and find the right solution for your company, together.
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