A retrieval-augmented agent trained on your industry's regulations, policies, and internal compliance playbook — so your team gets defensible answers in seconds, not days. For regulated industries (healthcare, legal, finance, insurance, construction), 'what does the regulation say' questions stall projects daily. A trained RAG agent answers them instantly with the actual regulation text cited — defensible, auditable, and…
Compliance is a structural bottleneck in every regulated industry. A nurse asks 'can we share this discharge summary with the patient's primary care doc without a fresh consent?' and the answer is in a 400-page HIPAA reference somewhere. A loan officer asks 'is this fee disclosable under TRID for this loan type?' and the answer is in TRID rule text plus three CFPB clarifications. A roofing contractor asks 'is this membrane code-compliant for a coastal Florida install?' and the answer is in the Florida Building Code plus a county amendment plus the manufacturer's ICC report. In every case the answer exists, is knowable, and is in writing — but finding it takes 20 minutes to 4 hours, depending on who has the question and who they can ask.
The system is built as a two-tier RAG architecture optimized for high-stakes retrieval. Tier 1 — indexing: we ingest your industry's authoritative sources (regulation text, manufacturer documentation, internal policy docs, prior-decision logs) into a Pinecone vector index with hybrid sparse-dense retrieval (Cohere embed-v3 dense + BM25 sparse, fused with reciprocal-rank fusion). Documents are chunked with overlap-preserving boundaries, with structural metadata (section, subsection, jurisdiction, effective date) preserved per chunk. Tier 2 — query-time: the user query goes through Cohere rerank-v3 over the top-50 candidate chunks to surface the 5 most relevant, which are passed to Claude 3.5 Sonnet with a strict 'answer only from the provided context; if the answer is not in context, say so' system prompt.
A mid-size mortgage brokerage with 14 loan officers saw median TRID-question resolution drop from 47 minutes to 8 seconds. Loan officers cleared 19% more files per day. Compliance staff time freed up from 6 hours/day of FAQ work to 4 hours/day of actual review work. ROI breakeven hit in week 5.
Starts at $8,500 build. Ongoing: $1,299/mo + per-query pass-through (~$0.02 per query). Ships in 21 days to live · corpus ingestion continues past launch. Delivered as Compliance Knowledge Base Agent, available across United States.
Three guardrails. First, the system prompt explicitly forbids answering from model parametric knowledge — only from the retrieved context. Second, we use Cohere rerank to surface high-confidence chunks only; if no chunk passes the relevance threshold the agent returns 'I don't have an authoritative source for that — please consult [escalation path]'. Third, every answer cites its source so the human can verify. The result is meaningfully lower hallucination rate than general-purpose ChatGPT — we've measured <0.4% in production deployments.
We monitor the Federal Register, CFR updates, and your state-level regulatory sources (we set this up during build based on your jurisdictions). Changes are re-indexed within 24 hours of publication. We also push a quarterly summary of all changes that affected your corpus so your team knows what's new.
By design, no. We constrain it strictly to your corpus — answering outside scope is where hallucination risk lives. For genuinely out-of-scope questions, it returns 'this is outside my knowledge base; here's who to ask'.