Custom LLM Deployment
Professional services firm. Delhi NCR. 80 employees.
The Context
A mid-sized chartered accountancy firm had accumulated eleven years of working knowledge — client correspondence, tax advisory notes, compliance frameworks, internal procedures, and case precedents — spread across shared drives, email archives, and the institutional memory of six senior partners.
When a senior partner retired, the firm lost approximately thirty per cent of its practical knowledge base. New hires took four to six weeks before they could operate independently. Internal queries consumed two to three hours of senior partner time every day.
The Work
We conducted a full knowledge audit, ingested and structured eleven years of documentation, and deployed a Custom LLM on the firm's private infrastructure. The model was trained to answer queries in plain language, cite its source documents, and escalate questions it could not answer with sufficient confidence.
Measured Outcomes
- New hire operational independence: 6 weeks → 4 days
- Senior partner time recovered from internal queries: 2.5 hours/day
- Knowledge base utilisation: from 8% of documents actively referenced to 74%
- Onboarding cost reduction: 67%
- ROI timeline: 58 days post-deployment
- Deployment type: On-premise
- Timeline: 6 weeks
- Practice: Custom LLM & On-Premise AI
