When AI Gets It Wrong: Risks Field Teams Should Understand
Artificial intelligence is becoming an increasingly useful tool for field sales teams in industries like medical technology and life sciences. Reps are beginning to use AI to summarize research, prepare for meetings, draft follow-up messages, and organize information more efficiently.
But like any emerging technology, AI has limitations.
In regulated industries such as healthcare, it is especially important for sales teams to understand where AI can be helpful — and where it can create risks if used incorrectly.
Why AI mistakes matter in healthcare sales
In many industries, a minor factual error generated by AI might simply be inconvenient. In healthcare, however, inaccurate information can create much larger problems.
AI models sometimes produce incorrect or invented information, a phenomenon often referred to as “hallucination.” This can include things like fabricated citations, incorrect summaries of clinical evidence, or overly confident statements about topics where the model lacks reliable data.
For field sales teams working with clinicians, hospitals, and healthcare organizations, accuracy matters.
That is why many organizations are beginning to experiment with AI cautiously and test where it performs well — and where it breaks down.
Examples of AI hallucinations
Several experiments with AI systems have shown how easily errors can appear when prompts are not carefully structured.
For example, one experiment documented how AI could confidently invent expertise for a physician when asked to summarize a key opinion leader’s background. The example is explored in detail in this KOL Hallucinated Expertise Test.
In another scenario, AI generated claims about clinical evidence that did not actually exist. This type of error highlights why outputs must always be verified, particularly when dealing with medical information. A detailed example is described in the Clinical Evidence Invented Test.
These examples illustrate an important point: AI can be extremely helpful, but it should never be treated as a primary source of truth.
AI mistakes in medtech sales scenarios
Similar risks appear in medtech sales environments. AI tools may produce misleading positioning statements, incorrect clinical claims, or overly simplified explanations when summarizing complex procedures.
In one field test examining surgeon meeting preparation, AI produced information that sounded convincing but required careful verification before being used in a real conversation. The test is documented in AI Field Test: Surgeon Meeting Preparation.
More broadly, several real-world examples of AI breakdowns in healthcare sales environments are discussed in AI Failures in Healthcare and MedTech Sales.
These examples highlight the importance of responsible AI use in regulated industries.
How sales teams can use AI responsibly
The key lesson is not that AI should be avoided. Instead, sales teams should develop clear practices for using AI responsibly.
These practices often include:
using AI primarily for preparation and drafting
verifying any factual claims before sharing them externally
avoiding reliance on AI for clinical evidence without confirmation
treating AI outputs as starting points rather than final answers
When used with those guardrails, AI can still provide significant productivity benefits.
The bigger opportunity
AI will likely continue to become a standard part of the sales workflow across many industries. The teams that learn how to use it effectively — while understanding its limitations — will be better positioned as the technology evolves.
For field sales teams in healthcare, the most productive approach is often to experiment with real workflows, understand where AI performs well, and document both successes and failures.
Resources such as the KOL Hallucinated Expertise Test, the Clinical Evidence Invented Test, and field experiments like AI Field Test: Surgeon Meeting Preparation provide useful examples of how these systems behave in real-world scenarios.
Links referenced in this post:
KOL Hallucinated Expertise Test
https://lifesciencesaiplaybook.com/stress-tests/kol-hallucinated-expertise
Clinical Evidence Invented Test
https://lifesciencesaiplaybook.com/stress-tests/clinical-evidence-invented
AI Field Test: Surgeon Meeting Preparation
https://medtechaiplaybook.com/article/ai-field-test-surgeon-meeting-prep-generic
AI Failures in Healthcare and MedTech Sales
https://medtechaiplaybook.com/article/ai-failures-healthcare-medtech-lessons
