Agent Intelligence
AI Agents That Actually
Know Your Business.
Your AI agents are fast and capable. But they give answers drawn from internet training data — not from your organization's actual knowledge. The institutional intelligence layer is the fix. Here is how it works.
The Difference the Knowledge Layer Makes
Without Argus Intelligence
Your agent is asked a complex regulatory question. It draws on general training data and gives a plausible-sounding answer. It might be right. It might be outdated. It might not reflect how your organization actually handles this. You cannot tell. There is no citation. There is no traceability.
With Argus Intelligence
Your agent queries the knowledge graph first. It surfaces relevant past decisions, your documented methodology, the experts who handled similar situations, applicable updates, and a confidence score on each piece of knowledge. The answer is grounded in your organization's actual experience. Cited. Traceable. Defensible.
The Technical Architecture
01
Hybrid Search
Queries match meaning, not just keywords. Our retrieval combines vector similarity search with knowledge graph traversal — finding relevant concepts and the explicit relationships between them.
02
GraphRAG
Graph-augmented retrieval goes beyond standard RAG by traversing entity relationships in the knowledge graph. Connections between a regulatory change, past decisions, a client relationship, and a risk protocol become explicit and queryable.
03
Confidence Scoring
Every piece of knowledge carries a confidence score — how well-validated, how recent, how frequently accessed. Agents distinguish between established institutional fact and a tentative hypothesis.
04
Full Traceability
Every answer comes with a citation trail. Where does this come from? When was it validated? Who approved it? That traceability is what makes AI defensible in professional services environments.
Connect Your Agents to What Your Organization Actually Knows.
Generic agents give generic answers. Knowledge-grounded agents give your answers — with citations, confidence, and accountability.