Solutions Engineers (SEs) are the technical backbone of complex B2B sales. They translate business requirements into technical reality, build custom demos, and answer the grueling security questionnaires. The problem? SEs are often the biggest bottleneck in the sales process. Because their skills are highly specialized, they're spread thin across dozens of deals. They spend hours doing repetitive tasks—like answering the same technical questions or building boilerplate demo environments—leaving little time for strategic, high-impact consulting.
To unblock the sales pipeline, revenue teams must augment their SEs with Artificial Intelligence. By automating the routine technical tasks, SEs can reclaim their time and focus on what truly wins deals: building bespoke solutions for complex enterprise problems. This article explores how AI is transforming the SE workday, turning them from technical support into strategic deal orchestrators.
In this article, we will cover:
The 'AI-Augmented SE Workday' is a workflow where Artificial Intelligence handles the initial layer of technical inquiry, environment configuration, and documentation, allowing the human SE to focus exclusively on complex problem-solving and high-stakes prospect interactions. In a GTM context, it scales the technical capacity of the revenue team without requiring a massive increase in SE headcount.
Example: Instead of an SE spending 4 hours filling out a 100-question security RFP, an AI agent pre-fills 80% of the answers based on past responses and technical documentation, leaving the SE to only review the output and address the 20% of highly complex, bespoke questions.
Augmenting SEs with AI accelerates deal velocity and improves the quality of technical engagements.
H3 Automation 1: The AI-Powered RFP Responder
Objective: Eliminate the manual grind of filling out security and technical questionnaires.
Actionable Advice: Implement an AI tool specifically designed for RFP automation (like Loopio or specialized AI agents). Feed the system your historical RFP responses, technical documentation, and SOC2 reports. When a new questionnaire arrives, the AI generates the first draft instantly.
Best Practices: Always have the SE review the AI's answers for accuracy and nuance before sending them to the prospect. The AI is a drafter, not the final approver.
H3 Automation 2: Dynamic Demo Environment Generation
Objective: Reduce the time spent configuring standard demo environments.
Actionable Advice: Use AI to automate the population of demo environments with realistic, industry-specific dummy data. If you're pitching to a healthcare company, the AI should instantly populate the demo with relevant healthcare terminology and metrics, rather than generic data.
Best Practices: Create a library of 'AI prompts' that AEs can use to spin up these basic, tailored environments without needing SE intervention.
H3 Automation 3: Technical Call Synthesis
Objective: Ensure SEs have perfect context before joining a deal.
Actionable Advice: Before an SE joins a technical deep-dive, use conversation intelligence AI to summarize all previous calls. Instruct the AI to specifically extract any technical requirements, current stack details, or security concerns mentioned by the prospect.
Best Practices: The AE should review this AI-generated technical brief with the SE in a 10-minute prep sync before the prospect call.
Your Solutions Engineers are brilliant problem solvers; stop forcing them to do data entry. By augmenting their workflow with AI, you unlock their true potential and accelerate your most complex deals.
Start small: Have your SE team use a generative AI tool to draft the response to the next three technical questions they receive via email, rather than writing them from scratch. Ready to scale your technical sales capacity? See how Brazn's AI platform empowers Account Executives and Solutions Engineers.
Map your current tools and see how Brazn can connect the work between them.
Alex Margarit is a Sales AI Expert and SaaS Sales Leader with 25+ years of experience at BMC, ServiceNow, and DocuSign.