PROCESS DISCOVERY AND ASSESSMENT
Identify high-effort workflows across finance, middle office, compliance, and reporting, and prioritize automation opportunities based on impact and feasibility.
Practical Automation for Investment Operations
Recurring reporting, reconciliations, and operational processes create significant manual effort. Stable Rock helps identify automation opportunities and implement practical solutions that reduce friction and improve repeatability across workflows.
Automation and AI support tailored to fund, GP, and management company workflows.
Identify high-effort workflows across finance, middle office, compliance, and reporting, and prioritize automation opportunities based on impact and feasibility.
Workflow redesign and implementation of lightweight automation to streamline recurring processes, reduce manual steps, and improve consistency.
Connect systems and data sources to reduce manual data movement and improve accuracy across reporting, reconciliations, and operational deliverables, including administrator and prime broker inputs where applicable.
Apply AI-supported analytics and reporting enhancements to accelerate recurring reporting tasks, variance analysis, and ad hoc insights where it adds real value.
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Standardize and automate document-driven processes, including templates, reporting packages, and marketing or investor presentation workflows.
Automation roadmap development tied to fund launch or operational scaling
Shadow NAV validation automation, including break reporting and variance checks
Integration of administrator reports into internal reporting packages
Automated validation across position, P&L, and cash reporting
Standardized and automated investor reporting, board materials, and marketing presentations using templates and automated data pulls
Answers to help you understand how we support AI and automation engagements.
Automation often focuses on trade validation, reconciliations, NAV review, reporting inputs, investor reporting preparation, compliance documentation, and recurring data consolidation tasks.
Most automation is layered onto existing systems through integration, workflow tools, and process redesign rather than full system replacement.
Improvements are designed with review checkpoints, documented workflows, and audit trails so reporting speed increases without compromising governance.
AI can support faster analysis of recurring data sets, assist with exception identification, and enhance reporting workflows when it adds measurable operational value.
We evaluate frequency, manual effort, control risk, and reporting impact to identify workflows where automation will meaningfully reduce friction and improve consistency.
Let's identify the workflows with the highest automation impact.