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Solution

Answers with sources, permissions and a quality score. Not a chatbot over a folder.

A governed knowledge system that lets teams ask questions across policies, procedures, contracts and internal expertise, and get answers they can verify and act on.

The problem

What this costs today

  • Knowledge lives in drives, wikis, tickets, inboxes and a few experienced people. The same questions are answered again every week.
  • Onboarding is slow because nobody can point to a single current version of how things are done.
  • Decisions get made on outdated policy because the latest one was never found.
The system

What Infinity Labs builds

Data → reasoning → action, with typed steps and explicit human control.

  1. InputQuestion
  2. DeterministicPermission check
  3. AIRetrieve sources
  4. AICompose answer + citations
  5. Human approvalLow confidence → expert
  6. OutputAnswer + feedback
DeterministicAIAgentHuman approvalIllustrative workflow. Actual step types are decided with you during design.
  • Ingestion pipelines that keep the knowledge base current from your document stores and systems.
  • Retrieval that respects existing permissions: people only get answers from what they are allowed to read.
  • Answers with citations, confidence handling and an explicit “I don’t know” path.
  • An evaluation set built from real questions, run on every change to models, prompts or content.
  • Feedback loops that route wrong or missing answers to the owners of the content.
Outcomes

What changes for the business

Quantified results are published only with client approval. Until then, this is what the system is designed to change.

  • Faster resolution of internal and customer questions
  • Consistent answers across teams and channels
  • Less dependence on a handful of experts
  • A measurable quality baseline you can report on

Typical environments

  • SharePoint, Google Drive, Confluence, Notion
  • Policy and procedure libraries
  • Contracts and legal repositories
  • Helpdesk and ticketing history

Next step

Is Enterprise Knowledge the process to start with?

A Sprint scores it against the other opportunities in your operation, or we can go straight to a scoped build if the case is clear.