How an RIA Scaled Advisory Capacity with Agentic AI

• Company: Independent RIA (anonymized)
• Industry: Registered investment advisory
• Team Size: 25 advisors and operations professionals
• Headquarters: United States
• Use case: Advisor capacity, portfolio operations, and client reporting

The Challenge

The RIA was adding households faster than its operations team could comfortably support. Advisors were spending too much time preparing review packets, checking drift, coordinating rebalances, and translating portfolio analysis into client-ready explanations.

Hiring more operations staff would have helped, but it would not have fixed the underlying workflow problem: too many recurring tasks were still manual, repetitive, and hard to audit.

What Celestice Changed

Celestice gave the firm a governed operating layer for portfolio work. Model assignments, drift checks, tax-aware rebalance proposals, and review packets moved into a single workflow. Advisors still approved the meaningful decisions, but the system prepared the evidence, highlighted exceptions, and preserved the lineage behind each recommendation.

Client reporting also became more consistent. Instead of rebuilding a packet from scratch, advisors started from generated materials tied to current holdings, risk analytics, and planning context.

Why It Mattered

The firm expanded capacity without lowering the standard of review. Advisors could serve more households because the platform handled the repeatable work and escalated the judgment calls that needed human attention.

Client perspective

Celestice helped us scale the service model without turning advisors into spreadsheet operators. The team spends more time with clients and less time assembling the same portfolio work by hand.

Anonymized RIA

Chief Operating Officer