Proposal draft from approved facts with source table and partner review.
Keep the first workflow at draft or review-support level before any real-world use.
Proposal, research, meeting-note, and delivery-checklist AI workflows with partner review and source discipline.
Keep the first workflow at draft or review-support level before any real-world use.
Use diagnostics, training, pilot design, governance, or simulation according to the workflow risk.
Training is personalized to role, workflow, tool stack, risk profile, data boundary, and approval responsibility.
Source: professional-services-ai-adoption-handbook-v0.1.md. Source title: Professional Services AI Adoption Handbook v0.1.
The sections below expose the actual handbook material: business context, workflows, first safe workflows, map, boundaries, simulation example, checklist, fictional/synthetic sample teaser, recommended AequAI path, 30/60/90 roadmap, and public-safe no-go wording.
Professional services firms use proposals, research, briefs, customer materials, delivery checklists, and advisor-prep documents. AI can help draft and organize, but review ownership and source discipline are central.
Every training path is personalized to the person, team, role, workflow, tool stack, risk profile, business context, workflow maturity, data boundaries, and approval responsibilities.
Proposal drafts, research summaries, meeting notes, delivery checklists, source maps, advisor-prep packs, and project documentation.
| Function | Opportunity | Training Need | Gate |
|---|---|---|---|
| Partners/owners | Decision briefs | Review discipline | Partner review |
| Sales/account | Proposal drafts | Claim-safe wording | Account owner review |
| Delivery | Checklist drafts | Source and scope control | Delivery lead review |
| Research | Summary drafts | Citation/source discipline | Research lead review |
| Admin | Meeting notes | Data boundaries | Owner review |
Do not present AI output as professional conclusion, customer result, advisor replacement, or public proof. Keep customer confidential materials restricted and use fictional/sanitized examples for training.
Synthetic scenario: a consulting team drafts a proposal from approved service facts, logs source sections, and requires partner review before sending.
Fictional/synthetic sample: "Professional Services Proposal Approval Gate." Shows a proposal workflow, claim review, and practice plan. It is not customer proof.
Department AI Pilot Design -> AI Literacy Training -> AI Governance Starter Kit -> AI Workflow Simulation Lab if tool-connected workflows emerge.
30 days: proposal approval gate. 60 days: source discipline and delivery checklist. 90 days: team AI operating rules.
Use draft support, source map, approval gate, and advisor-prep wording. Avoid outcome and endorsement claims.
Start with one workflow, one review owner, one data boundary, and one evidence log. Expand only after a reviewed pilot shows what to proceed with, shrink, park, or stop.