Use Cases
Applied AI in practice.
Real-world AI deployments and the measurable outcomes they produced.
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Cross-industry
AI Attack Surface & Threat Modeling
Identify weak points in AI-enabled systems and design defenses that hold up in production.
Mar 2026 Read case → -
Cross-industry
Evaluation Harness & Regression Gates
Keep quality stable: golden sets, automated evals, and release gates for prompt/model changes.
Mar 2026 Read case → -
Cross-industry
LLM Cost Tracking & Budget Policies
Control spend without killing quality: per-request cost tracking, routing, caching, and budget gates.
Mar 2026 Read case → -
Cross-industry
Prompt Injection Defense & Tool Authorization
Make agentic systems safe: strict tool boundaries, least privilege, and robust input handling.
Mar 2026 Read case → -
Cross-industry
Secrets & PII Leakage Prevention
Prevent sensitive data leaks through logging, prompts, retrieval, and tool outputs.
Mar 2026 Read case → -
software
Prompt Injection Defense for a Customer-Facing AI Assistant
A SaaS company hardened a customer-facing LLM assistant against prompt injection attacks before public launch, adding layered input validation, output sandboxing, and pre-deployment red-teaming.
Feb 2026 Read case → -
professional-services
Per-User Data Access Governance for an Internal LLM API
A professional services firm built a permission-aware LLM API that enforces document-level access controls, ensuring users can only retrieve and reason over data they are authorised to see.
Feb 2026 Read case → -
financial-services
LLM Audit Trail for a Regulated Financial Workflow
A financial services firm implemented an immutable audit log for an AI-assisted analysis workflow, making every generated output fully reconstructable and attributable for compliance purposes.
Jan 2026 Read case → -
financial-services
Automated Financial Report Generation
An asset manager reduced monthly reporting time by around 70% by deploying a validated LLM pipeline that drafts variance commentary directly from ERP data.
Jan 2026 Read case → -
software
AI-Powered Customer Segmentation for Targeted Campaigns
A B2B software company cut campaign cost-per-qualified-lead by 40% after replacing manual segmentation with an ML-based clustering pipeline.
Jan 2026 Read case →