Auditable results. Brands under seal.
Anonymized cases — sector, problem, approach and metric measured in production. No logos, no screenshots, no cross-identification.
Real metrics, protected identities
Three engagements with distinct profiles. Sector, problem, approach and metric — exactly as we measure in production.
- Problem
- Distributed operations across multiple countries with legacy systems that did not communicate. Manual, slow consolidation.
- Approach
- Custom platform with real-time integration between legacy systems, consolidated analytical base and operational dashboards.
- Metric
- 73% reduction in data consolidation time, eliminating 12 weekly hours of manual work.
- Problem
- High volume of manual documents — contracts, reports, invoices — with frequent errors and no traceability.
- Approach
- AI pipeline with automatic extraction, classification by type and urgency, and validation against business rules.
- Metric
- 85% fewer processing errors and review cycle reduced from 6h to 40min.
- Problem
- Distributed teams with manual request, approval and execution. Chronic bottleneck, low governance.
- Approach
- System with an AI agent — receives the request, checks the rule, routes approval and executes within an audited permission boundary.
- Metric
- 60% reduction in operational cycle, 100% of actions with auditable trail.
Process · Engagement kickoff
How confidentiality operates, in practice
Confidentiality is operational design, not a promise. Every engagement starts with three steps before the first line of code.
Blind discovery before NDA
Initial conversations do not mention company names, internal systems or people — only the nature of the problem.
Dedicated credentials vault
Client secrets live in a dedicated vault with documented rotation. Nothing lives on a laptop, git repository or inbox.
Per-engagement audit trail
Every technical access is logged and exportable on client request, from discovery to contract close.
Want to see if it makes sense to follow the same path?
A call under NDA to map the real problem, compare with adjacent cases and size the formal discovery.