AI and Managed Services

AI as a managed service provides ongoing expertise and operational support for planning, building, deploying, governing, and improving AI capabilities. Instead of managing every specialized function internally, an organization can work with a technology partner across AI engineering, data platforms, automation, monitoring, and optimization. The approach can help regulated enterprises adopt AI while maintaining security, auditability, and alignment with business workflows.

Hexaview supports financial services and fintech organizations including wealth management firms, asset managers, hedge funds, fund administrators, and neo banks. Its broader customer segments also include Fortune 500 companies, capital markets organizations, healthcare businesses, travel companies, insurance organizations, family offices, fund services providers, startups, and banking and financial services firms.

AI and automation services can support data processing, trading workflows, underwriting, fraud detection, customer service, and other operational processes. Hexaview builds intelligent workflows and decision-support models intended to improve data analysis, business flow automation, accuracy, visualization, performance, and reliability. The specific opportunity is assessed against an organization’s processes, data readiness, risk requirements, and desired outcomes.

An AI consulting engagement can include identifying high-impact use cases, assessing data readiness, and creating a transformation roadmap. For financial services organizations, planning may address portfolio analytics, client reporting, risk modeling, customer experiences, governance, and applicable US financial regulations. The work is tailored to the organization’s operating model and focuses on connecting technology priorities with practical business value.

AI Labs support rapid prototyping, proofs of concept, and solution testing before full-scale deployment. Financial services and fintech organizations can use this approach to validate use cases such as algorithmic trading, client personalization, reporting automation, and risk analytics. Testing early helps stakeholders evaluate feasibility, data requirements, workflow fit, and governance considerations before committing to broader implementation.

Yes. Hexaview’s legacy modernization service transforms legacy systems into cloud-native, API-driven architectures. The work can improve performance, reduce technical debt, and create a stronger foundation for AI adoption across trading systems, reporting platforms, and operational workflows. The modernization scope is shaped around the existing environment, integration needs, data architecture, and the organization’s transformation priorities.

Hexaview emphasizes governed delivery for enterprise AI and technology initiatives. Relevant credentials include SOC 2 Type 2 Certification, an Information Security Management System aligned with ISO, and AWS Select Tier Service Partner status. Depending on the engagement, governance can include secure tool integration, audit trails, code traceability, model lifecycle management, and controls designed for compliance-heavy operating environments.

Hexaview can support the full lifecycle of selected AI, data, Salesforce, and platform initiatives, including strategy, implementation, optimization, and ongoing support. The available operating model depends on the solution and engagement scope. Organizations can discuss their current environment, desired level of assistance, governance expectations, and operational priorities to determine an appropriate managed services arrangement.