Stop killing a fly with a cannon

Artificial Intelligence has become the default answer to almost every business problem.

Need to analyse documents? Use an LLM.

Need to extract data? Use an LLM.

Need a summary? Use an LLM.

But are organisations using the right tool for the job?

Increasingly, businesses are discovering that throwing a generic Large Language Model at vast quantities of unstructured data is an expensive way to solve relatively straightforward problems. When the invoices arrive, many realise that a more focused approach would have delivered better results at a fraction of the cost.

Bigger isn’t always better

Many organisations remain stuck in the first wave of AI, treating the technology as little more than a sophisticated chatbot.

Deploying a multi-billion-parameter, general-purpose language model to process individual documents or extract a handful of fields is rather like using a cannon to kill a fly. It is computationally excessive, energy intensive and unnecessarily expensive. More importantly, these models are designed to predict language—not to perform precise, repeatable business processes.

The result?

Hallucinations, inconsistent outputs and unreliable data. That may be acceptable for creative writing, but it is not acceptable when your business relies on accurate information.

Businesses need a better option

Today, organisations often find themselves choosing between two extremes.

On one side are the large public AI models developed by the world’s biggest technology companies. They are powerful, but generic, and rarely designed for the specific operational needs of an enterprise.

On the other are highly customised AI platforms delivered by global consulting firms. These solutions can be effective, but their complexity and cost place them beyond the reach of many individual departments.

There is another way.

At Kentivo, we’ve engineered an architecture that delivers precision without unnecessary complexity. We call it Agentic Business Processes.

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AGENTIC BUSINESS PROCESSES

What are Agentic Business Processes?

Rather than relying on one enormous AI model to solve every problem, Kentivo Agentic Business Processes are built from a network of specialised micro-agents.

Think of it as a team of experts rather than one overworked generalist.

An agent retrieves the information it needs from other agents to perform its own specific task. Each micro-agent is responsible for completing a specific task. They work together in an agent environment that is set up to do exactly what is needed for a particular organisation or department.

Instead of asking one AI model to do everything, each agent focuses on what it does best. Together, they create an efficient, accurate and highly specialised business process.

Data Ingestion

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Entity Agent
Uses a lightweight, specialised language model.

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Relevance Agent
Applies deterministic analysis and statistical filtering.

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Clustering Agent
Connects to a vectorised Neo4j graph database to identify relationships and context.

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Verified Business Insight

The Right Technology for the Right Task

Specific stage of a process, eliminating unnecessary complexity and cost.

Task-Specific Micro LLMs: If an agent only needs to extract a contract date or purchase value, invoking a massive foundation model is overkill. We use compact, specialised language models engineered for specific tasks—making them faster, highly consistent, and significantly more cost-effective.
Hybrid Intelligence: AI isn’t always the optimal tool. Our micro-agents pair language models with deterministic algorithms, statistical methods, and graph-based data structures (like vectorised Neo4j databases). Conventional software handles calculations and sorting efficiently, reserving LLMs solely for what they do best: understanding context and intent.
Architectural Benefits: This decoupled approach ensures you are never locked into a single vendor’s roadmap. Furthermore, because Kentivo hosts its infrastructure on dedicated servers within secure European data centres. Finally, this modular setup is built for change; we can upgrade individual micro-agents as AI evolves without disrupting your broader operations.

Agentic Business Processes: Example of a flexible environment with AI-agents

Production AI that makes business sense

Enterprise AI shouldn’t demand multi-million-pound consulting fees, nor should it rely on generic public chatbots for mission-critical workflows.

Kentivo delivers specialised, production-ready Agentic Business Processes that are practical, affordable, and secure. By blending targeted AI with rigorous software engineering, we help organisations automate complex workflows with higher accuracy, lower operational overhead, and total architectural flexibility.