Success stories from global engagements.

The Challenge

A global customer's finance team manually validated thousands of supplier invoices each month, while sales and marketing worked from stale, disconnected data. Cycle times were long and error rates were rising with volume.

What We Built

• Built a Claude-based extraction and validation layer for invoices, with confidence scoring and human-in-the-loop review for exceptions.
• Connected CRM, billing and campaign data into a single governed context the models could safely reason over.
• Enabled sales with AI-generated account briefs, next-best-action prompts and automated follow-up drafting.
• Gave marketing campaign-performance summarization and audience segmentation driven by live intelligence.

Outcomes

The Challenge

Onboarding vendors and employees required manual ticket chains across identity, cloud and application teams. Access was granted inconsistently, and audit evidence was assembled after the fact.

What We Built

• Modelled every role, entitlement and compliance control as machine-readable policy.
• Deployed AI intelligence that interprets onboarding requests and generates the exact resource set required — no more, no less.
• Enforced least-privilege, segregation of duties and time-bound vendor access at creation time.
• Produced continuous audit evidence and automatic drift correction for out-of-policy resources.

Outcomes

The Challenge

Security signals lived in tooling that application owners never opened. By the time a threat reached the right team, the window for cheap remediation had closed.

What We Built

• Instrumented the customer's applications and cloud environment with unified telemetry.
• Deployed AI intelligence that correlates behavioural anomalies, configuration drift and identity signals into ranked threat narratives.
• Surfaced alerts directly inside the customer's own apps, in the context the owning team already works in.
• Attached recommended containment steps and one-click automated responses to every alert.

Outcomes

The Challenge

A large reporting team spent most of its capacity rebuilding recurring regulatory and executive reports by hand, with heavy overtime around every close cycle.

What We Built

• Catalogued every recurring report, its true consumers and its underlying data lineage.
• Rebuilt mission-critical reporting as automated pipelines with AI logic handling reconciliation and narrative commentary.
• Added anomaly detection so analysts review exceptions instead of whole datasets.
• Retrained the team onto higher-value analysis while automation carried the recurring load.

Outcomes

The Challenge

Dozens of cloud accounts across multiple providers had drifted: idle capacity, unowned resources, inconsistent resilience posture and faults that were only caught by customers.

What We Built

• Established a single intelligence plane across all public cloud accounts and providers.
• Applied continuous rightsizing, commitment coverage and idle-resource reclamation.
• Deployed automated fault detection with self-healing runbooks for known failure classes.
• Enforced resilience baselines — multi-AZ, backup and failover — as automated policy.

Outcomes