Win the technical deal — AI helps you discover, design, and de-risk faster.
Get the Solutions Architect briefIn 2026, AI is reshaping the technical pre-sales motion. Solutions Architects use it to turn discovery calls into clean requirements, draft a reference architecture for a prospect in minutes, and prepare answers to the security and IT questions that stall deals. The architect still owns the trust and the trade-offs, but spends far less time on first drafts, RFP responses, and demo prep — and more time in front of the customer, removing the technical risk that stands between them and a signature.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
Here are my notes from a prospect discovery call: [paste notes]. Extract functional requirements, non-functional requirements, technical constraints, and the open questions I still need answered before I propose a solution.Act as a Solutions Architect. Given these requirements: [requirements], propose a reference architecture on [platform] for [prospect]. List components, data flow, integration points, and three tradeoffs I should walk the customer through.We're selling [product] into [industry]. List the top 10 security, compliance, and integration questions their IT and security teams are likely to raise in the deal, and draft a confident, honest answer to each.Help me design a proof-of-concept for [prospect] evaluating [product]. Define 3 measurable success criteria tied to their business goals, the scope to include and exclude, and the demo moments most likely to win over a technical buyer.Write the solution overview section of a proposal for [client] based on this architecture: [paste]. One page, written for a non-technical executive, connecting each choice to a business outcome.The full library of tools, prompts, and tricks for your role — updated every week. Tap any card for a step-by-step walkthrough and examples.
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