// case study 01
Logistics operation · private LLM deployment
A logistics workflow was relying on a patchwork of external tools for routine document and query handling. The replacement system consolidated the work into a private stack with internal retrieval and task-specific flows.
- Outcome: 70% cost reduction versus the previous tool mix
- Why it worked: fewer vendors, lower recurring cost, better control over internal context
- Best lesson: private AI becomes compelling when the workflow is repeated daily and the context is business-specific
// case study 02
NBFC workflow · AI document pipeline
A document-heavy financial process needed faster extraction and routing without collapsing quality. The solution combined OCR, document parsing, and domain-tuned validation logic.
- Outcome: 99% accuracy on the tuned document pipeline
- Why it worked: the system was built around document shape, not generic prompting alone
- Best lesson: AI performance improves sharply when workflow rules are encoded instead of left implicit
// case study 03
Compliance team · AI audit system
A manual review process was expensive and hard to scale. The replacement system reduced repetitive review load and gave operators a clearer way to inspect exceptions rather than reading everything from scratch.
- Outcome: roughly ₹8L annual saving versus the manual-heavy path
- Why it worked: automation focused on triage and scoring, not replacing every final decision blindly
- Best lesson: the best AI systems reduce operator drag without removing audit visibility