Agentsway specialises in agentic AI workflow automation — identifying manual and semi-manual processes within organisations and systematically transitioning them into autonomous, production-grade agentic AI systems. We research, engineer, and deploy.
We work directly with business teams to map existing workflows — every decision, exception, handoff, and tool. Domain knowledge, not just engineering, drives what gets automated.
We surface workflows that are manual, repetitive, and decision-intensive — the processes that benefit most from end-to-end agentic ownership, not just task assistance.
We architect a network of single-responsibility agents — each with a clear role, fine-tuned LLM, tools, and memory. A reasoning model coordinates and validates across the network.
We run human and agent workflows in parallel during handover, validating outputs before full agentic ownership. Deployment is containerised, observable, and production-ready.
Humans act as orchestrators, not operators. Agents handle execution continuously; the human supervises, steers, and makes decisions where oversight is required.
We also help organisations understand and navigate the transition to agentic AI — through practical, hands-on engagements.
Hands-on sessions to map your workflows, identify automation candidates, and design an agentic transition roadmap with your team.
Structured programmes to upskill engineering and operations teams on agentic AI system design, deployment, and human-in-the-loop operation.
Conference talks, keynotes, and team briefings on the practical realities of agentic AI — grounded in real deployments and published research.
Advisory engagements for organisations planning an agentic transition — covering strategy, tooling, responsible AI, and organisational readiness.
Real-world agentic AI workflow transitions we've designed, built, and deployed.
End-to-end automation of retail supply chain operations — demand forecasting, procurement, supplier coordination, and replenishment — for large-scale supermarket chains.
Agentic AI workflow automation for Arctic tourism SMEs in Lapland — planning, booking, transport, supplier coordination, and customer inquiry handled by a supervised agent network.
Autonomous multimodal news analysis and podcast generation — content discovery, script generation via LLM consortium, audio and video production, and publication to GitHub.
Peer-based mental health support for battlefield environments — recovered soldiers augmented by a consensus-driven multi-agent system for triage, interventions, and clinical escalation.
Autonomous monitoring of e-invoicing and VAT compliance changes across jurisdictions — source discovery, topic filtering, content generation, validation, and publication to SharePoint.
We are a group of researchers and engineers working at the intersection of AI systems, automation, cybersecurity, and neuroscience. We publish, we build, and we deploy.
Our team is intentionally small. A few humans at the centre, surrounded by a growing network of agents — sales, research, content, engineering, ops, and CS — that handle the rest. We're not just building agent systems for others — we run one ourselves.
We are an agents-first company. We don't just build AI systems — we use AI to build them. Every line of code, every research paper, every deployment is driven by agents. Engineering, research, operations — all AI-native.
One engineer. Augmented by Claude Code, Codex, and a growing network of specialised agents. The systems we deliver were built the same way we build everything else — with AI.
We work closely with universities, research labs, and industry partners who share our interest in autonomous systems and the future of work.
Interested in collaborating?
Get in touch →An end-to-end engineering guide covering workflow decomposition, multi-agent design, MCP and tool integration, deterministic orchestration, and responsible AI. Demonstrated through a multimodal news-analysis and podcast-generation workflow.
A pragmatic framework for transitioning organisations from manual and semi-manual processes to fully agentic AI systems. Covers domain-driven use case identification, systematic delegation to agents, and human-in-the-loop orchestration models.
Introduces Rovanima, an agentic AI workflow automation framework deployed for Arctic tourism SMEs in Lapland. A human orchestrator supervises a network of specialised agents built on a consortium of fine-tuned LLMs and a reasoning model.
Recovered soldiers act as peer facilitators augmented by agentic AI for battlefield mental health support. A consensus-driven multi-agent system handles symptom triage, peer-support interventions, and clinical escalation.
A Responsible and Explainable AI Agent Architecture for production-grade agentic workflows based on multi-model consensus and reasoning-layer governance — enforcing safety constraints, mitigating hallucinations, and producing auditable decisions.
An automated threat modeling platform for AI agent-based systems, extending STRIDE with a new threat category for agent-specific attacks — prompt injection, unsafe tool invocation, and reasoning subversion.
We are an agents-first company. We don't just build agentic AI — we run on it. No physicality. We exist where agents run.
Whether you want to automate your workflows, collaborate on research, or just understand what agentic AI can do for your organisation — drop us a line. Your message goes to an agent first. A human follows up when needed.
We exist where agents run.
Across 3 continents, cloud regions — always on, always responsive