Case Study / Finance

Wealth advisory workflows move from vendor SaaS dependence to fixed infrastructure.

Anonymized deployment profile for a finance environment balancing client trust, internal research velocity, and governance.

Situation

Advisory teams needed AI speed without expanding external exposure.

Internal reporting, portfolio notes, and proposal assistance were drifting toward public AI tools while CRM and workflow costs kept rising with scale.

Constraint

Client-sensitive financial context could not continue to sit inside fragmented vendor systems without governance discipline.

Need

Private summarisation, internal research support, and workflow automation on self-hosted infrastructure.

Timeline

4 weeks

to deploy reporting assistance and private research workflows.

Tool Spend Offset

EUR 1.6k/mo

across reporting and AI-assisted research workflows.

Recovered Time

7h/wk

from faster internal summaries and adviser prep.

Control Gain

Private

client reporting context no longer routed through public AI usage.

Deployment

Internal reporting assistant

Private model and retrieval layer supporting note synthesis, internal knowledge retrieval, and advisor workflow assistance.

Workflow

CRM-adjacent automation

Workflow orchestration reduces repetitive coordination without paying expanding usage rent across multiple SaaS layers.

Outcome

Predictable economics

The firm moves toward a fixed infrastructure position rather than deeper dependence on variable-cost operational tooling.

Before

Adviser productivity depended on public tools

Internal summaries and portfolio-adjacent research were becoming faster, but the data boundary was unacceptable over time.

After

Research and reporting run inside owned infrastructure

The advisory group retained the productivity gains while shifting the intelligence layer inside its own governance perimeter.