When is a research agent ready to rely on?
Decide which parts of a research workflow can be delegated and what evidence is required.
Editorial synthesis · Prepared 7 September 2026 · Based on the dated session records below.
What the sessions suggest
The New York panel and the Deutsche Bank research session put evaluation, structured knowledge and observability ahead of prompt refinement. Start with a bounded task and an observable definition of a useful result.
The trade-off
Automation can save research time, but a fluent response can conceal missing data or an unsupported inference. A narrower workflow with explicit failure handling is easier to evaluate than an unrestricted assistant.
Questions to take into your project
- What is the task-level ground truth, and who maintains it?
- Can the agent show its inputs and intermediate evidence?
- When must it abstain or request a human decision?
Evidence and limitations
The sessions provide practitioner views; this brief does not establish comparative accuracy, financial performance or independent validation.
- Industry Talk #2: What It Takes to Deliver on Agentic AI for Investment Research at Deutsche Bank
12 March 2026 · Wai-Chung Ip · Transcript available
- Panel Discussion
25 September 2025 · Christos Koutsoyannis, Didier Rodrigues Lopes, Jason Strimpel, Michael Watson, Kirk McKeown · Transcript available