Supercharge your enterprise capabilities with AI
Supercharge your enterprise
capabilities with AI
From Insight to Implementation:
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We guide your company to find its way in the AI driven era
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B.R.I.A.N.
- Business Relevant Intelligent Agent Network -
Digital data scientist on the team
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AI READINESS & STRATEGY
Lay the foundation for your organization's AI readiness.
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COPILOT ADOPTION & CHANGE MANAGEMENT
Structured implementation, active usage, measurable business impact.
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Our clients say
Pharmaceutical Company Richter’s data science team leader
“The systematic development of competencies during the joint project work with the expert of Neuron Solutions enables the team of Gedeon Richter Plc, after the implementation of the pilot project, to be able to start and execute AI development projects on its own or, if necessary, to select and apply supplier AI systems.”
Innovation manager of Hungarian Electricity Works MVM
“Neuron Solutions talked about the basics of this technology and possible benefits of its use in business through several use cases which included success stories in the electricity and energy industries. Following the training session, they gave advices to two MVM organisational units on how their operations can be improved by introducing AI-based enterprise applications. The training with 50 participants was successfully completed with a lot of positive feedback afterwards.”
Knorr Bremse’s R&D director
“The implementation and effectiveness of the project demonstrated very well that the application of AI is no longer just the prerogative of high-budget research institutes: in a short time, using reasonable resources, engineering tools can be created to speed up and facilitate engineering work in almost any company.”
BLOGS
Beyond the Pilot Phase: The Age of Agents and the New Blind Spots of Corporate AI Strategy
Beyond the Pilot Phase: The Age of Agents and the New Blind Spots of Corporate AI Strategy We are witnessing a clear step up in the enterprise adoption of artificial intelligence. The era of ad-hoc prompting and simple assistant features is over. Chatting with models has now taken a back seat; the focus has unequivocally shifted toward delegating tasks to controlled runtimes. With the emergence of autonomous agents, the emphasis is moving away from merely accessing software and toward actual outcome ownership. However, this technological and structural maturity presents decision-makers with entirely new, previously unknown organizational and leadership dilemmas. In his presentation at the Smart Bar X conference, Dr. Levente Szabados pointed out with pinpoint accuracy the blind spots that
Agentic GenAI: Where We Are Going
Agentic GenAI: Where We Are Going The next frontier is outcome ownership: agents will be managed, measured, governed, and bought as work capacity. The near-future direction of agentic GenAI is a shift from software access to business outcomes. Bain’s advice to SaaS leaders – price for outcomes, not log-ons – captures the commercial pressure, while McKinsey describes the rise of “service-as-software,” where platforms, AI agents, automation, and expert support are bundled into outcome-oriented solutions. Sierra’s outcome-based pricing model for AI agents is an early commercial pattern: pay when the agent resolves, completes, saves, or converts. In boardroom terms, the unit of value is moving from seat, API call, or subscription to “resolved incident,” “completed migration,” “reconciled account,” or “qualified customer.”
Agentic GenAI: Where We Are Now
Agentic GenAI: Where We Are Now The last six months have turned agents from impressive assistants into execution environments that can touch real systems. Over the last 3–6 months, agentic GenAI has crossed a practical threshold: the center of gravity is no longer “chat with a model,” but “delegate work into a controlled runtime.” Claude Code, OpenAI Codex, and Cursor’s cloud agents all point in the same direction: agents that read codebases, run commands, use tools, operate in browsers or VMs, and produce reviewable artifacts rather than just suggestions. For executives, this is the first major reframing: the agent is becoming a junior digital operator with a workspace, permissions, memory, and a manager-not a smarter autocomplete box. [1][2][3][4] The connective