Custom software for businesses
Platforms and applications built to last, integrate with what you already run, and stay maintainable. Less guesswork, more decisions grounded in evidence.
Devisia designs digital systems for organisations that cannot afford black boxes: platforms, governed AI and operational compliance where data, processes, accountability and evidence stay readable.
Technology does not rescue an opaque flow. When roles, data and constraints are explicit, custom software development and AI integration increase quality, control and operational capacity.
We do not ship disconnected modules. A useful system connects custom software for businesses, governed AI and operational proof.
Platforms and applications built to last, integrate with what you already run, and stay maintainable. Less guesswork, more decisions grounded in evidence.
Assistants, RAG, agents and workflows only where there is a control model: boundaries, logging, validation, human oversight and clear accountability.
Not a pile of policies, but the ongoing ability to show what was done, by whom, when and with which evidence.
This is not a checklist. It is a chain of control: understand where risk begins, design the boundaries, and make each decision readable when it needs to be evidenced.
We interview operators, exceptions and unwritten rules before choosing interfaces, automations or AI components.
A production AI system needs limits, logs, validation, policy, oversight and human accountability.
GDPR, NIS2, DORA and ISO 27001 become sustainable when every control produces readable proof.
Devisia Chat
Grounded answers, visible boundaries, no black box.
A guided assistant helps you explore services, method and AI governance without hunting through every page. It answers only from public Devisia content and makes the technical perimeter visible: exported Markdown, indexed knowledge, Toolhouse orchestration and server guardrails.
Open a dedicated page for longer questions, or use the floating assistant while browsing.
Public pages are exported to clean Markdown with frontmatter, so every answer starts from content that is readable, versionable and traceable.
The exported content is split into retrieval chunks, letting the assistant select relevant passages before composing a reply.
Requests pass through `/api/toolhouse-chat`: Toolhouse handles the agent flow, while credentials stay server side.
The chat keeps to public content, sanitises Markdown output and avoids collecting secrets or private operational data.
Collect, organise, validate and export evidence for audits, compliance and security. AI-assisted where it helps, human control always. It is how we turn method and governance into an operational product.
Explore AuditReadyShare process, data, risk, constraints and people involved. The first goal is to align context, boundaries and success criteria, not to sell a ready-made bundle.
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