Analysis of your business processes
We start from your processes, not from the technology: where time is lost, where errors creep in, what repeats.
At Konekto, AI is not a sales pitch. It is a technology we deploy when it creates real value, with the same standards we have applied to critical projects since 2019.
We build our AI offering on a proven engineering foundation. Every solution goes through the same rigorous steps: needs understanding, testing, secure integration, production deployment.
We work mainly in Belgium. We also have a client in France, and we can work in Luxembourg.
A short engagement with a defined scope and price, to identify where AI will bring you real value. The ideal entry point to start without risk and avoid investing in what will not work.
We start from your processes, not from the technology: where time is lost, where errors creep in, what repeats.
We identify the AI use cases worth the investment, and those that are not.
A concrete deliverable: which processes to automate, with what estimated impact and in what order.
Each option is costed, so you decide knowing the effort involved.
We present the conclusions to your decision-making teams.
An engagement of a few days, with scope and price fixed in advance. The online simulator gives a first orientation before the first conversation.
A few days: it is a short engagement with a defined scope.
The price is fixed in advance, before the engagement starts.
A concrete report: the processes to automate, the estimated impact of each and the order in which to tackle them.
No. We start from your business processes; the audit exists precisely to find out whether AI brings real value there, and where.
Design of AI agents and automated workflows to cut repetitive tasks and free up your teams. Built-in supervision, error handling and output evaluation: not a mere script, a robust solution.
Design of AI agent teams (CrewAI, LangChain) that orchestrate complex tasks: document processing, tender responses, business data analysis.
Workflows that connect your tools and handle repetitive tasks without human intervention, with built-in supervision and error handling.
Response evaluation, hallucination detection, alerts and supervision: an AI in production has to be watched.
We automate the process end to end, but a human stays in the loop where judgement matters: AI assists the decision, it does not replace human judgement.
A program that relies on a language model to complete a task in several steps. Several agents can share roles, like a small team.
Yes. Supervision is built in, and human review is planned at the steps where judgement matters.
Through testing, output evaluation, hallucination detection, alerts and monitoring in production.
A script executes; a robust solution also handles errors, supervises its results and evaluates how reliable they are.
No need to rebuild everything. We enrich your current applications with targeted AI features: semantic search, automatic classification, assisted generation, with secure integration into your system.
Content generation, summarisation, automatic classification and structured information extraction, added to your existing applications.
Search engines that look for meaning rather than keywords, with secure access to your internal document bases (Retrieval-Augmented Generation).
Automatic categorisation, scoring and prioritisation of requests, tickets or content, to reduce the load on your processing teams.
AI results are evaluated and followed once in production, not only tested beforehand.
We plug into what exists: AI arrives as a feature of your application, with its own access control, traceability and supervision.
No. We add targeted features to the existing application, with secure integration.
Retrieval-Augmented Generation: the model draws on your own documents to answer, instead of relying on its memory alone. Access is controlled and answers are traceable.
Yes, within a defined frame: on Atlas Contrôle's inspection module the business edits its control criteria without a redeployment, and the safeguards stay out of its reach.
Outputs are evaluated and monitored in production, with hallucination detection and alerts.
These use cases correspond to needs we have already addressed or evaluate during AI audits. Not an exhaustive list — an honest selection of what works.
Automatic information extraction, classification and summarisation of complex documents (contracts, reports, forms). Human review is integrated into the process.
Replacement of repetitive manual tasks by supervised AI workflows: data entry, validation, routing, notification.
AI agents that analyse specifications, identify key requirements and generate draft responses — already implemented at Konekto.
Intelligent access to your internal documents via a natural language interface — with access control and traceability.
Automatic categorisation, scoring and prioritisation of requests, tickets or content — to reduce the load on your processing teams.
Synthesis of complex information, pattern detection, alerts: AI as a decision support tool — without ever replacing human judgement.
An AI audit is a short, scope- and price-defined mission. At the end, you have a concrete report: which processes to automate, with what estimated impact, and in what order. The simulator below provides an initial orientation.