AI Workflows
How AI-assisted workflows appear across chat, feasibility, generation, and review in TrialStack.
Keep AI inside the workflow
flowchart LR
Context[Workflow context] --> AI[AI assistance]
AI --> Review[Human review]
TrialStack uses AI in specific product surfaces, not as an unbounded assistant detached from the rest of the operating model.
Bound the experience
mindmap
root((AI families))
Knowledge
Insights Chat
Feasibility
Generation
Actions and runs
AI appears in workflow families such as:
- context-backed questioning through Knowledge and Insights Chat
- generation and drafting flows such as Protocol Feasibility, persona generation, and document or evidence hydration
- execution flows where AI may be part of Actions & Runs
Across all of them, the product stance stays the same: the output is scoped, reviewable, and tied back to specific workflow context.
Use it for assistance, not authority
flowchart LR
Draft[Draft or question] --> AI[AI workflow]
AI --> Team[Team decision]
AI workflows are useful when teams want faster drafting, comparison, or exploration while keeping the surrounding records, history, and review responsibility visible.
Keep the review boundary clear
flowchart LR
Fluent[Fluent output] --> Review[Review]
Review --> Governed[Governed adoption]
A fluent answer is not proof of good grounding. Organization defaults can shape the experience, but they do not remove the need for human review, and completed AI-assisted work should not silently become governed truth.