EK
Process & Outcome Showcase

Selected case studies.

A representative sample of engagements across regulated industries — presented as executive case studies with the full thinking from challenge to outcome.

Case Study 01

Payment Gateway Platform

Banking · Payments
MicroservicesKafkaPCI-DSSKubernetes
Business Challenge
Legacy gateway constrained merchant onboarding and channel growth, blocking expansion into new merchant segments.
Assessment
Reviewed merchant journey, risk engine architecture and operational throughput across three regions.
Strategy
Modular API-first architecture, decoupled risk engine and a self-service merchant onboarding model.
Execution
Phased migration with parallel running, governance cadences and PCI-DSS aligned release pipeline.
Outcome
Onboarding reduced from weeks to days; unlocked SME and marketplace segments previously out of reach.
Lessons Learned
Modularization unlocked product velocity only after risk and compliance ownership was clearly redesigned.
Full case study on request
Case Study 02

Retail Banking Product Initiative

Retail Banking
Product DiscoveryJourney MappingOKRs
Business Challenge
Declining engagement and rising support volume on a flagship retail banking product.
Assessment
Customer journey research, channel analytics review and stakeholder mapping across product, ops and risk.
Strategy
Quarterly outcome roadmap built around activation, retention and self-service deflection.
Execution
Cross-functional squads with weekly delivery cadence and embedded design and analytics partners.
Outcome
Lifted activation rates and reduced support tickets across key digital channels.
Lessons Learned
OKR-aligned squads outperformed feature factories when paired with executive sponsorship.
Full case study on request
Case Study 03

Enterprise AI Manager

Enterprise AI
AI GovernanceUse-case ScoringChange Management
Business Challenge
Fragmented AI experiments across business units with no governance, prioritization or measurable ROI.
Assessment
Inventoried all active AI initiatives, scored against business value and feasibility, and mapped data dependencies.
Strategy
AI portfolio governance, use-case scoring rubric and pilot-to-scale pipeline.
Execution
Established AI Manager operating model with monthly stage-gates and shared platform investments.
Outcome
Concentrated AI investment on high-ROI use cases with measurable adoption across business units.
Lessons Learned
AI governance is fundamentally a product and portfolio problem — not a compliance exercise.
Full case study on request
Case Study 04

KonsultaAI

Healthcare · AI
LLMClinical UXEMR Integration
Business Challenge
Manual triage and consultation workflows slowed clinicians and degraded data capture quality.
Assessment
Shadowed clinical workflows, audited EMR data fields and mapped safety-critical decision points.
Strategy
AI-assisted consultation flow with clinical safety guardrails and human-in-the-loop checkpoints.
Execution
LLM-backed consultation UX integrated with existing EMR, rolled out via controlled pilot.
Outcome
Streamlined clinician workflow and improved structured data capture for downstream analytics.
Lessons Learned
Clinical AI adoption is gated by trust design, not model performance.
Full case study on request
Case Study 05

Government Digital Transformation

Government · Enterprise
Operating ModelProcess OptimizationChange Mgmt
Business Challenge
Slow, paper-heavy operating model across multiple agencies created poor citizen experience and long cycle times.
Assessment
Process mapping across agencies, capability assessment and change-readiness diagnostic.
Strategy
Operating model redesign anchored on digitized core services and cross-functional delivery teams.
Execution
Phased rollout with embedded change management, training and a centrally governed delivery PMO.
Outcome
Significantly shorter service cycle times and improved citizen experience metrics.
Lessons Learned
Transformation sticks when governance, capability and process are redesigned together — not sequentially.
Full case study on request