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Service Line 03 · The Capability StackA private AI that has actually read your firm's documents.
Retrieval-augmented assistants trained on your own case files, contracts, product catalogues, policies and SOPs — answering questions in seconds, with the source on screen. Your data stays private and inside your engagement.
Your own knowledge, finally retrievable.
A Retrieval-Augmented Generation assistant indexes the documents your business already has — contracts, case files, SOPs, product catalogues, vendor agreements, training material — and answers questions against them, with citations to the underlying source.
The answers are grounded in your data, not in the open web. Sensitive material stays in your private instance under the DPDP Act 2023, and access is restricted to people you nominate.
It does not replace your senior people. It removes the hours your team spends finding what the firm already knows.
For teams whose knowledge is locked in documents.
A junior at a CA firm, mid-deadline.
An article assistant at a CA firm is preparing a tax filing and hits an edge case. The standard play is to interrupt a senior partner — or to spend two hours searching the firm's folders for a similar past matter.
Instead, she asks the firm's RAG assistant: "Have we handled this specific 80G exemption scenario before?" The assistant answers in seconds, with three relevant past matters cited and the relevant paragraphs surfaced — all from the firm's own files.
The partner's day is not interrupted. The article does not re-research a solved question. The firm uses the knowledge it has already paid to build.
What you were doing before.
Knowledge that lives in folders and senior memory is knowledge the firm cannot easily reuse.
- Folder hunts on shared drives nobody has tidied in years
- Juniors interrupting seniors for questions the firm has answered before
- The same SOP being re-explained on every new hire's first week
- Generic public chatbots that hallucinate instead of citing sources
- Knowledge that walks out of the firm when a senior leaves
Transparent starting points.
The RAG Knowledge Assistant module starts at ₹4,500/month. Setup is 50% of your monthly recurring, one-time, and includes document ingestion. Model-usage tokens are passed through at cost — no markup. Final pricing is confirmed in the configurator.
Private assistant trained on your firm's case law, contracts and SOPs.
Indexing of your existing document corpus during the Day 1–15 window.
Per-query model and embedding fees billed through transparently.
RAG works best composed with these.
Add RAG Knowledge Systems to your stack.
Configure your modules, see transparent pricing and get a custom proposal — backed by the Confidence 30 Guarantee.
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