Post-Sales and Support

Ada

Overview
Ada, named after Ada Lovelace, the mathematician who wrote the first computer algorithm and envisioned machines solving complex problems, is a post-sales support AI coworker that handles the technical issues customers face after purchase. Like her namesake, Ada excels at breaking down complex problems into clear, actionable solutions. By providing instant troubleshooting guidance, installation support, and maintenance answers, Ada enables support teams to resolve issues without engineering escalations.

Any Rep Can Solve Any Problem

01

Customer downtime doesn't wait for the right expert. Ada enables any available field rep or customer support agent to handle technical issues, even for products they haven't been trained on. When issues arise, the closest team member gets step-by-step troubleshooting guidance for fault codes, wiring diagrams, and configurations. Problems get resolved by whoever is available, not just specialists.

Support New Products Immediately

02

Product launches create support gaps. Customers need help, but teams haven't been trained yet. Ada understands new product specifications and procedures from day one, eliminating the training delay. Support teams handle questions about new offerings confidently without waiting months or weeks for expertise to develop. As Ada resolves issues, it learns which approaches work best.

Preserve Customer Context

03

Support tickets lose the technical details from sales conversations. Customers repeat themselves. Agents re-escalate problems that were already solved. Ada maintains the complete customer history, what was specified, what was sold, what matters for their application. Support teams see the full picture and resolve issues faster without reconstructing lost context.With our platform, healthcare providers can identify high-risk patients, anticipate disease progression, and develop targeted treatment plans.

Discover how Bardin accelerates technical deals and scales expertise across your industrial sales team.

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