FINANCIAL ADVISOR WORKFLOWS
Teach agents how expert advisory work gets done.
A private-data program grounded in access to a network of 150+ advisors, spanning research, portfolio review, client service, compliance-aware steps, exceptions, and outcomes.
Discuss private advisor data- request
- received
- systems
- crm / erp / email
- exception
- resolved
- outcome
- complete
LONG-HORIZON WORK
From client or portfolio context to verified resolution.
Advisory work crosses research, portfolio, CRM, reporting, and communication systems. Training data should preserve the complete sequence and its quality criteria.
CAPTURE LAYERS
The behavior, context, and consequences behind every action.
Screen recordings alone miss the signals that explain why a workflow unfolded the way it did.
Application context
The active system, interface state, available records, and relevant business context.
User intent
The objective behind the task and what a successful resolution requires.
Action sequence
Clicks, entries, searches, tool calls, navigation, and cross-application transitions.
Decision points
What choices appear, what evidence matters, and why an action is selected.
Exceptions + approvals
How people surface ambiguity, resolve edge cases, escalate, and seek authorization.
Outcome
The resulting system state, task resolution, quality signal, and downstream effect.
WORKFLOW DOMAINS
Train on real operating environments.
Initial collection design can focus on a defined advisory task family, system stack, exception type, or performance boundary.
- Investment research workflows01
- Portfolio review02
- Client preparation03
- Advisor operations04
- Compliance-aware handoffs05
- Report generation06
- Exception handling07
- Quality + outcome evaluation08
TRAINING ENVIRONMENTS
Turn workflows into structured learning episodes.
Align interface state, user action, event logs, decision rationale, and task outcome into a trajectory that can support supervised training, evaluation, agent simulation, and process intelligence.