Scoped agents ensure every response respects permissions, sensitivity levels, and business context automatically—no prompt hacking or manual guardrails needed.

We built retrieval + scope enforcement into every step of the pipeline so the LLM only sees what a user is allowed to see, and it cites every source.

Company org charts become scopes; access tokens map to those scopes so finance, HR, and ops each get the right slices of knowledge.

Every chunk we ingest is labeled with scope, owner, and lineage, so downstream answers carry the same labels and can be audited instantly.

Our RAG chain performs a scope check before the model call and strips out anything outside the user’s permissions, preventing over-broad answers.

We log every retrieval hop with source, scope, and timestamp so compliance teams can verify why an answer was produced.

Turkish-language grounding and citation quality were tuned together, ensuring local nuance without leaking cross-entity data.

Enterprises roll this out per workspace first, then expand scopes gradually—keeping risk low while unlocking faster answers for every team.