Case studies

Systems put to work.

Real problems. Production systems. Owned by the teams that use them.

Conversational AI · HR

Policy answers without the ticket queue.

Challenge
Employees waited on HR for answers buried in policy documents.
Built
A context-aware assistant over HR policies and internal tools, with role-based access.
Outcome
Instant, cited answers employees can verify — with a full audit trail.
  • LLM assistant
  • RAG
  • RBAC
  • Audit
Assistant answering an employee question about severance policy, with verified HR policy sources
Document intelligence · Legal

From thousands of files to one verified answer.

Challenge
Keyword search returned thousands of contracts — not answers.
Built
Semantic search that extracts direct answers with clause-level evidence.
Outcome
Verified answers with sources, permissions enforced, in place of manual review.
  • Semantic search
  • Answer extraction
  • Citations
Verified answer summarising contract termination risks with clause references
Data analysis · Finance

Plain-English questions. Board-ready charts.

Challenge
Every business question needed an analyst and a SQL query.
Built
Natural language → governed SQL → live visualisation, with guardrails.
Outcome
Self-serve analytics for leaders — revenue, growth and variance on demand.
  • NL-to-SQL
  • Visualisation
  • RBAC guardrails
Pipeline from a natural-language question to SQL to a revenue chart
Private AI · Regulated industries

Enterprise AI where data never leaves.

Challenge
Sensitive data couldn't be sent to third-party LLM APIs.
Built
A fine-tuned SQL model on the client's own servers, with field-level masking.
Outcome
Full data sovereignty — every query governed per role and logged.
  • On-prem LLM
  • Field masking
  • Audit trail
Architecture: user question, intent engine, query generation, governance layer, live data, visualisation

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