Our deepest industry specialization. 16+ years of SAP IS-U architecture and delivery across major U.S. and international regulated energy utilities — covering billing, device management, S/4HANA transformation, AI-enhanced billing reliability, and cloud migration. We understand the complexity of high-volume utility billing, deregulated market operations, NERC CIP compliance, and the operational demands of serving millions of customer accounts without disruption.
High-volume billing accuracy — complex rate structures, FQEVENTS, and billing schemas supporting millions of accounts with zero tolerance for errors.
S/4HANA Utilities migration — transitioning legacy IS-U environments without disrupting live billing cycles across large regulated customer bases.
NERC CIP & regulatory compliance — cloud architecture and AI deployments built to meet utility regulatory standards from day one.
AI-enhanced operations — ML-based anomaly detection, predictive maintenance, and smart metering integration for modern utility operations.
Led IS-U billing architecture, complex rate structure design, ABAP RAP/Fiori modernization, and ML-based anomaly detection for a major U.S. regulated energy utility — delivering reusable migration and validation frameworks designed to support future IS-U transformation programs across the sector.
Zero billing disruptions — ML anomaly detection in productionExtensive delivery experience across enterprise insurance operations — life and annuity, specialty lines (Property, Cyber Risk, Professional Liability), and financial services platforms. We bring deep knowledge of insurance underwriting workflows, claims processing, policy administration, and the regulatory compliance requirements that govern AI-driven decisions affecting policyholders. Responsible AI governance is not optional in insurance — and we build it in from day one.
AI-driven underwriting & claims — LLM/RAG deployment, agentic AI workflows, and model validation with hallucination detection, bias evaluation, and full audit traceability.
Responsible AI compliance — bias/fairness evaluation across demographic slices, explainability validation, and state insurance regulatory alignment for AI-assisted decisions.
Process automation — RPA and Camunda-based claims orchestration, document processing, and workflow automation with compliance auditability.
Data platform modernization — consolidating policy, claims, and financial data for AI model training and operational analytics across multi-line insurance portfolios.
Engineered LLM/RAG platform for life and annuity underwriting at a top-tier U.S. life insurance company — including multi-agent orchestration, OCR document classification, hallucination detection, demographic fairness evaluation, and compliance guardrails. Also delivered multi-line AI governance across Property, Cyber Risk, and Professional Liability lines for a leading specialty insurer.
40% faster underwriting decisions — bias & compliance controls validatedTechnology delivery in healthcare demands a higher standard — where AI model errors affect clinical decisions, data breaches carry regulatory consequences, and system downtime disrupts patient access. We have delivered quality engineering and AI/ML validation for national healthcare platforms serving millions of members, validated AI-driven clinical decision support systems for appropriateness and consistency, and built HIPAA-compliant data platforms consolidating complex multi-source healthcare data landscapes.
AI clinical decision support validation — model behavior testing, clinical appropriateness evaluation, prediction consistency, and demographic fairness across diverse patient populations.
HIPAA-compliant data platforms — consolidating EHR, claims, and operational data with full compliance governance, lineage, and access controls.
Platform reliability at scale — continuous quality assurance for digital health platforms serving millions of members where downtime directly impacts patient access.
Mobile & telehealth validation — iOS, Android, and web platform testing for telehealth, benefits, and Virtual Primary Care applications.
Led quality engineering for a national health plan's digital platform — covering telehealth, claims, benefit verification, and Virtual Primary Care across iOS, Android, and web. AI-assisted test generation accelerated coverage expansion under peak demand; CI/CD quality gates ensured system stability while validating AI/ML clinical decision support features for prediction consistency and clinical appropriateness.
Uninterrupted healthcare access — AI/ML clinical features validated at scaleBanking programs demand rigorous governance, zero tolerance for data errors, and the ability to automate complex, high-volume processes while maintaining full regulatory auditability. We have founded and operated RPA Centers of Excellence for major North American banks, built Camunda-based process orchestration replacing legacy BPM systems, and delivered AI governance frameworks aligned to banking regulatory requirements. Our staffing practice also places niche technology talent for bank technology transformation programs.
RPA & process orchestration — Camunda and Agentic AI-powered workflow automation for claims, approvals, and compliance workflows with full audit trails.
AI governance & compliance — Responsible AI frameworks aligned to banking regulatory requirements for AI-driven lending, fraud detection, and customer service decisions.
Data platform modernization — scalable, governed data platforms for analytics, AI model training, and regulatory reporting in high-volume banking environments.
Technology transformation staffing — placing niche SAP, AI/ML, cloud, and automation engineers for large bank technology programs where specialist expertise is critical.
Founded and led an RPA CoE using Blue Prism for a major North American bank — establishing governance standards, PDD/SDD/TDD documentation, reusable component libraries, BOT testing processes, and enterprise lifecycle management. Also delivered Camunda + Agentic AI claims orchestration replacing a legacy BPM system, automating 14 manual process steps and reducing processing time by 55% with full compliance auditability.
Enterprise RPA CoE established — 55% faster claims processingGovernment AI programs carry a unique responsibility — decisions affect public services, public trust, and in many cases, civil rights. We have architected Responsible AI governance frameworks for government and higher education organizations aligned to NIST AI RMF and federal AI executive orders, designed AI validation strategies for workforce and operational systems, and supported cloud and automation programs for state-level government organizations where regulatory compliance and public accountability are paramount.
Responsible AI for public sector — governance frameworks aligned to NIST AI RMF, federal AI executive orders, and state-level AI policies governing AI use in public services.
Bias & fairness in government AI — evaluation across demographic groups, explainability standards, and human-in-the-loop oversight for AI systems affecting public decisions.
FedRAMP-aligned cloud programs — secure, compliant cloud architecture meeting federal and state security standards for government workloads.
Workforce & operational AI validation — AI system validation for HR, payroll, and workforce management platforms ensuring accuracy, fairness, and regulatory compliance.
Delivered a comprehensive AI validation framework and Responsible AI governance program for a large government and higher education organization deploying AI-driven workforce and operational systems — covering NIST AI RMF alignment, bias evaluation protocols, human-in-the-loop oversight design, and governance documentation ensuring reliable, fair, and compliant AI operations across thousands of employees and stakeholders.
NIST AI RMF-aligned governance — delivered in 10 weeksBeyond our five core industry focuses, we bring enterprise technology delivery and technical staffing to Retail & E-Commerce, Manufacturing & Supply Chain, and adjacent sectors requiring SAP, AI/ML, cloud, and quality engineering expertise.
SAP automation frameworks, Selenium/WebDriverIO test automation, and AI-assisted QE for large-scale retail digital commerce platforms — with Fortune 500 retail delivery experience across Agile programs spanning 15+ engineering teams.
SAP implementation support, data engineering for supply chain analytics, and AI-driven process automation for manufacturing operations — with expertise in integrating SAP with IoT, MES, and third-party logistics platforms.
AI governance and validation for university workforce, payroll, and operational systems — with experience deploying AI validation frameworks covering labor compliance, federally funded research tracking, and Responsible AI policies for academic institutions.
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