
Advisory documentation is written after the fact instead of in the process.
In finance and insurance, traceability is mandatory: advisory documentation, suitability, withdrawal periods. What is not documented did not happen, and what gets documented after the fact is a risk.
Policy administration and sales are often separate: the intermediary knows the customer, the policy system knows the contract, and the connection is made by asking around. Cross-selling stays accidental.
AI is attractive and delicate at once: decisions that affect customers face heightened requirements, up to and including classification under the EU AI Act.

Advisory documentation is written after the fact instead of in the process.

The policy system and the sales picture are not connected.

An audit is coming and evidence has to be hunted down.

AI initiatives stall because the regulatory classification is missing.

Intermediaries keep their own spreadsheets alongside the system.
01
Advisory documentation is created where the advice happens, not afterwards from memory.
02
Policy book and customer picture brought together so demand becomes visible.
03
Evidence, permission states and history are retrievable instead of hunted down.
04
Use cases rated by risk class, obligations derived and anchored in the platform.
Four services from the Agentic Growth Stack, picked for what moves first in this industry.
Permissions, logging and evidence maintained in operation.
Approvals, audit trails and EU AI Act classification.
A data model with advisory documentation and clean permissions.
Connect policy administration to the CRM, with clear leadership per object.