AI for Solutions Architects

Prompts for Solutions Architects, From Discovery to Delivery

1. The lessons

   1. Requirements Discovery: Turn messy client notes and briefs into clear, structured requirements you can design against.
   2. Architecture Design Drafting: Get a first draft of architecture options, diagrams, and decision records so you can refine rather than start from a blank page.
   3. Design Trade-Offs: Pressure-test your design and spell out the non-functional targets before it goes into review.
   4. Technical Proposals: Produce proposal sections that speak to the client's business, not just the technology.
   5. Feasibility And Risk: Structure feasibility analysis and build a first-pass risk register for a proposed solution.
   6. Cost And Effort Estimation: Build rough cost models and total-cost-of-ownership comparisons with clear assumptions and exclusions.
   7. Implementation Planning: Break a solution into phases and produce the checklists that keep delivery on track.
   8. Stakeholder Communication: Explain designs to business audiences and keep client sponsors informed without jargon.
   9. Pre-Sales And Admin: Speed up RFP responses and discovery call prep so you spend more time on the solution itself.
2. What the course covers

   The lessons move in order: requirements discovery, architecture design drafting, design trade-offs, technical proposals, feasibility and risk, cost and effort estimation, implementation planning, stakeholder communication, and pre-sales admin.

   You will use prompts for each step and keep your own review in the loop. The course does not ask you to trust the first output.

3. How the lessons connect

   Each lesson builds on the one before it. Requirements feed architecture options, architecture options surface trade-offs, and trade-offs shape the proposal, risk register, cost model, and delivery plan.

   The final lessons help you explain the work and respond to RFPs without starting over. You can jump to a lesson when a client task lands, then return to the full order later.

4. How to use the prompts well

   Give the AI the real context: the client's business goal, the constraints, and what a good outcome looks like. Ask it to list assumptions and open questions, then edit the draft to match your voice and your client's language.

   The prompt is a starting point, not the final answer. Your review is what makes it useful.

5. Who this course is for

   This course is for solutions architects, pre-sales engineers, technical account leads, and anyone who designs client solutions. It assumes you know the job, not that you know AI prompts.

   If you are client-facing and tired of starting from a blank page, the lessons will feel familiar.

6. Safety and privacy for this job

   Client names, contract terms, and sensitive data should not go into tools your company has not approved. Use the course prompts to work with sanitized notes, check your firm's policy, and review every output before it leaves your desk.

   Good habits here protect the client and protect you.

7. Your next step

   Pick one prompt from the lesson that matches this week's work, such as requirements discovery or a proposal section. Run it on a low-risk task, compare the draft to what you would have written, and keep the version that saves you time.