LLMs generate outputs. Requivo builds a governed operational knowledge layer that stays inside the organisation and compounds over time.
| Dimension | Requivo | General-purpose LLMse.g. ChatGPT, Claude, Copilot |
|---|---|---|
| What it is | An operational knowledge system | A general-purpose AI assistant |
| What it creates | A governed operational knowledge layer that stays in the organisation | Responses, drafts, summaries, and analysis |
| Input | Large volumes of scattered enterprise information, documents, workflows, and expert know-how | Prompts and context supplied by the user in the moment |
| Role of experts | Expert elicitation and validation are built into the core workflow | Expert input depends on the user's own interaction with the model |
| Knowledge handling | Builds a maintained knowledge layer with structure, validation, and ownership | Uses available context to produce an immediate answer — no persistent layer |
| Gaps & conflicts | Continuously surfaces weak, missing, or conflicting knowledge areas and routes them into structured expert follow-up | Can identify gaps when prompted, but only within the current interaction |
| Long-term value | Builds a reusable organisational knowledge asset that compounds over time | Produces useful outputs, but not a maintained knowledge layer by itself |
| Enterprise fit | Model-flexible by design — organisations retain choice of model, infrastructure, and data residency | Usually tied to the model, policies, and infrastructure of a specific provider |
LLMs respond to the context available in the moment. Requivo turns fragmented enterprise information into a governed operational knowledge layer that persists and evolves.
LLMs can identify gaps or conflicts when prompted. Requivo surfaces them systematically and routes them into structured expert follow-up — without requiring the right question at the right time.
LLMs produce useful outputs. Requivo builds a reusable organisational knowledge asset: validated, maintained, and available across teams, workflows, and AI systems.
Requivo turns fragmented enterprise information and expert know-how into a governed operational knowledge layer — a reusable organisational asset that can be validated, maintained, and used across teams, workflows, and AI systems.
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