Every objection is a signal that the prospect is thinking about it seriously. These are the six you'll hear most — with the reframe, the proof, and the question that moves the conversation forward.
They've been here before. They rolled out a mobile tool. It took months. Adoption is still patchy. The operations director doesn't want to fight that battle again.
The adoption problem isn't change fatigue — it's that previous tools asked technicians to do data entry on top of their real work. Resolve inverts this. The AI does the admin. The technician focuses on the repair. Natural language. Works offline. No training manual needed.
Every AI pitch assumes clean, structured, well-governed data. The prospect knows their reality: incomplete asset records, inconsistent fault descriptions, years of paper-based history that never made it into a system. They feel they need a data transformation programme before they can benefit from AI.
They're not wrong about their data. They're wrong about the prerequisite. The question isn't whether the data is ready — it's whether waiting makes it any better.
They've seen generic AI tools hallucinate. They've seen ChatGPT make things up. A wrong diagnosis on critical equipment isn't a minor inconvenience — it's a safety risk, a cost, a compliance issue. The scepticism is earned.
The fear is that AI in their environment means general-purpose guesswork applied to safety-critical decisions. The distinction that matters is where the knowledge comes from — and whether the technician can verify it before acting.
They assume Resolve requires IFS Cloud. Or they're on Salesforce, SAP, Dynamics, or something else entirely and think they're disqualified. This is one of the most common misconceptions — and one of the easiest to clear up.
IFS Cloud is not a dependency. Resolve works alongside whatever systems the customer already uses. It reads from and writes to existing systems via API — Salesforce, SAP, Dynamics, Maximo, Sage, or IFS Applications 10. Resolve is the AI layer at the point of work, not a platform replacement.
They have other priorities. A digital transformation in flight. A restructure. Budget cycles. It's not that they don't see the value — the timing feels wrong.
The question isn't whether they have capacity for a major programme. Resolve isn't one. First value is delivered in weeks, not quarters — with ROI within months and in-year savings. A proof of value runs on a single site, a single team, with minimal disruption. The cost of waiting isn't zero — every month without Resolve is another month of return visits, lost knowledge, and reactive maintenance eating margin.
They need to build a business case. The CFO wants numbers. They've been burned by AI vendors who promise ROI but can't quantify it in their specific context.
The ROI case for Resolve isn't theoretical. It's built from measurable operational levers the prospect already tracks: first-time fix rate, reactive-to-planned ratio, technician utilisation, parts waste, compliance cost, and revenue captured per visit. We quantify the case using their data, not industry averages.
Prospect interested? Flag the opportunity and we'll join your next call — prepared with a tailored demo and the technical depth to back it up.
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