AI-Enabled Proposal and Solution Brief
Independent Project / Solution Architecture / Proposal Support
A sample sanitized solution brief for a fictional government or enterprise customer, demonstrating requirements decomposition, AI-enabled solution design, and proposal-style technical narrative.
Workflow
- 01Executive summary
- 02Customer problem understanding
- 03Requirements decomposition
- 04Assumptions and constraints
- 05Proposed AI-enabled solution
- 06High-level architecture
- 07Cybersecurity considerations
- 08Responsible AI considerations
Toolset
- Solution architecture
- Requirements analysis
- Generative AI
- Cloud services
- Technical writing
- Proposal support
Problem or objective
Capture and proposal teams need technical narratives that connect a customer's stated problem to a defensible, security-aware solution approach.
Rachel's role
Author of the sample brief: problem framing, requirements decomposition, architecture outline, risk analysis, and executive summary.
Process
- 01Executive summary
- 02Customer problem understanding
- 03Requirements decomposition
- 04Assumptions and constraints
- 05Proposed AI-enabled solution
- 06High-level architecture
- 07Cybersecurity considerations
- 08Responsible AI considerations
- 09Implementation phases
- 10Risks and mitigations
- 11Benefits and technical narrative
Case study
Fictional customer
Meridian Public Services Agency (fictional) needs to reduce the time analysts spend summarizing unstructured constituent correspondence while keeping a human decision-maker accountable for every response.
Requirements decomposition
- Functional: intake, classification, drafted summary, analyst review, audit record
- Non-functional: access control, logging, retention, availability
- Compliance: records retention and privacy handling
Assumptions and constraints
- Assumption: correspondence is text-based and already stored in an agency system
- Constraint: no automated decisions without analyst approval
- Constraint: data remains within agency-approved cloud boundaries
Risks and mitigations
- Model produces an inaccurate summary — mitigated by mandatory analyst review and acceptance checks
- Sensitive data exposure — mitigated by access control, encryption, and logging
- Over-reliance on AI output — mitigated by documented human-in-the-loop policy
Tools and technologies
- Solution architecture
- Requirements analysis
- Generative AI
- Cloud services
- Technical writing
- Proposal support
Security and ethical considerations
- Security requirements addressed alongside functional requirements
- Responsible AI section covering human review, bias, and data handling
- Fictional organization and fictional data used throughout
Outcome
A reusable brief template that shows how a customer problem becomes a phased, risk-aware, AI-enabled solution.
This brief uses a fictional organization and fictional data. It does not describe a real customer or contract.