Advisory and implementation services across agentic AI, AI-enabled engineering, AI FinOps and modern Data platforms
From governance and strategy to delivery, we help organizations put AI agents and data to work
Choose the right AI use cases and govern them properly, including autonomous agents, with a clear view of what each one costs and returns
Build agentic workflows and production ML systems that automate complex work under human control, and bring coding agents into your own software delivery
Build the data platforms and analytics that make your data trustworthy and ready for AI
Industry knowledge built into every engagement
Agent governance, audit trails, model risk management
Put AI agents into regulated processes with the controls and audit trail that supervisors and model risk teams expect View case studyAgentic KYC and onboarding, legacy modernization, fraud detection
Shorten client onboarding with governed AI agents and modernize aging core systems with AI-assisted engineering View case studyResearch copilots, trading operations, market risk
Give analysts research copilots and bring auditable AI agents into trading operations and market risk View case studyAgentic reconciliation, advisor assistants, portfolio reporting
Clear reconciliation breaks with AI agents and give advisors assistants that are affordable to run at scale View case studyClaims automation, underwriting, AI cost control
Automate claims and underwriting work with generative AI, with clear visibility into what each use case costs View case studyCoding agents, payments fraud, lending models
Roll out AI coding agents across engineering teams and build the fraud and lending models behind new products View case studyPatient care pathways, diagnostic accuracy, pharma AI strategy
Improve patient care pathways and diagnostic accuracy in hospital systems, and help life sciences companies focus their AI investment View case studyPersonalized shopping, supply chain optimization, demand forecasting
Personalize the shopping journey, optimize complex supply chains, and improve demand forecasting accuracy View case studyProduction throughput, predictive maintenance, quality control
Boost production throughput, implement predictive maintenance schedules, and enhance quality control measures View case studyContract analysis, regulatory monitoring, risk assessment
Automate contract review and analysis, monitor regulatory changes in real-time, and streamline compliance workflows with AI View case studyGrid optimization, consumption forecasting, asset management
Optimize energy distribution, forecast consumption patterns, and improve asset lifecycle management with AI View case studyAI-enhanced services, resource optimization, security improvements
Leverage AI capabilities to enhance cloud service offerings, optimize resource management, and improve security posture View case studyAI product features, platform development, user analytics
Embed AI features into existing products and build new platforms on them, from SaaS applications to developer tools View case studyCustomer experience, content personalization, churn prediction
Enhance customer experience across channels, deliver personalized content, optimize network performance, and reduce churn through predictive analytics View case studyMeasured outcomes from recent client engagements
Four AI agents prepare the full KYC file and an analyst approves every one, which took onboarding from 23 days to just over 7
A managed rollout of coding agents to 300 engineers, with review standards and measurement built into the delivery pipeline
Every dollar of generative AI spend traced to a use case, then cut through model routing and caching as volumes grew
A collaborative engagement model designed to deliver results you can own
Stakeholder workshops to define success criteria, scope constraints, and priorities
Rapid prototypes and proof-of-concepts that validate the approach before full commitment
Agile delivery sprints producing production-ready solutions integrated into your workflows
Knowledge transfer and team upskilling so your organization becomes self-sufficient
Ongoing advisory and optimization as your needs evolve and new opportunities emerge
Perspectives on AI strategy, implementation, and industry trends
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