1. Ask the real question
Start with the business issue in plain language: growth has slowed, margins are unclear, AI opportunities need prioritising, or a client deliverable needs structure.
How it works
From business question to reusable consulting output.
Consulting AIOS is designed for recurring advisory work: diagnose the issue, use evidence, create a useful deliverable, and keep the context available for the next decision.
2. Add the evidence
Attach source documents, notes, reports, exports, or project context so recommendations are tied to what the business actually knows.
3. Use consulting logic
The workspace applies structured diagnostic questions, methods, frameworks, and output formats instead of treating every request as a blank chat.
4. Create reviewable outputs
Turn the work into memos, action plans, issue trees, roadmaps, opportunity maps, and process notes that can be reviewed, revised, and reused.
Question to deliverable
The first answer is only the start.
Review the diagnosis interactively, ask follow-up questions, connect evidence, and save the work as a decision brief or action plan. Your next review begins with what the team already knows.
Why it is different
Keep the evidence, decisions, and outputs connected after the first answer.
- Private workspaces keep organisational context separate.
- Documents and source material stay attached to the work.
- Useful context can be remembered and reused later.
- Team access, usage, and review controls support real organisations.
Owners and executives
Clarify priorities, make better trade-offs, and turn scattered context into a practical plan without starting from a blank page.
Leadership teams
Keep leadership work, source documents, project history, and recommendations together across teams and recurring decisions.
Consultants and advisory firms
Convert playbooks, templates, diagnostic questions, and delivery methods into repeatable workflows and client-ready outputs.
Start practical
Bring one real business problem and judge the work.
A useful evaluation should produce a clearer diagnosis, better questions, a practical deliverable, and a more repeatable way to handle similar work next time.