Decision Support for Managers
Leaders want structured thinking without black-box automation.
User Story
"I'm a VP of Product, and I need to make strategic decisions quickly. I want AI assistance to structure my thinking—summaries, trade-offs, options—but I need to make the decision myself. I don't want black-box automation. SUPERWISE /chat gives me decision support with complete auditability. Every conversation is traceable, so I can show my reasoning to stakeholders and board members."
Scenario
- Role
- VP of Product
- Industry
- Any
- Challenge
- Need structured thinking for strategic decisions without black-box automation
- Solution
- Decision support Customer-Owned Agent with Knowledge collection in SUPERWISE /chat
- Outcome
- Structured analysis with complete auditability for stakeholder accountability
How It Works
Step-by-step workflow with feature references
Create Decision Support Agent
Manager creates Customer-Owned Agent: "Strategic Decision Support". Agent system prompt: "You are a decision support assistant. Help structure thinking by providing summaries, trade-offs, and options. Do not make decisions—present analysis for human decision-making. Always cite sources and assumptions." Agent is configured with relevant Knowledge collections (if needed).
Decision Context Setup
Manager uploads decision context to Knowledge collection: Market research, Financial data, Stakeholder feedback, Competitive analysis. Knowledge collection is bound to decision support agent.
Decision Analysis
Manager starts chat with decision support agent. Asks: "I need to decide whether to enter a new market. Summarize the key factors I should consider." Agent uses Knowledge collection to generate structured analysis: Market opportunity, Competitive landscape, Resource requirements, Risk factors. Manager asks: "What are the trade-offs between Option A and Option B?" Agent presents structured comparison with pros and cons.
Decision Documentation
Manager makes decision based on analysis. Manager asks: "Document my decision and reasoning for stakeholder review". Agent generates decision document using conversation context. Manager exports conversation (audit trail) for stakeholder review.
Decision Review
Manager uses conversation search to find past decisions. Reviews decision history for board presentations. Shares decision audit trail with stakeholders for accountability. Complete auditability enables governance and learning from past decisions.
Feature Mapping
SUPERWISE and Open WebUI features that power this use case
SUPERWISE Features
- •Customer-Owned Agents (5+ in Professional)
- •Complete audit trails
- •Policy enforcement (no silent actions)
Open WebUI Features
- •Customer-Owned Agents (specialized decision support)
- •Knowledge collections (context documents)
- •Conversation search (review past decisions)
- •Saved prompts (decision frameworks)
Feature Combinations
- →Decision support agent with Knowledge collection for structured analysis
- →Audit trails with conversation search for decision accountability
What You Get
- Clearer thinking.
- No silent actions.
- Full auditability.
Why SUPERWISE
Every decision support conversation is auditable. Leaders get AI assistance with complete accountability for their decisions.
Ready to Get Started with Decision Support for Managers?
See how SUPERWISE /chat enables safe, confident AI use for your team.
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