Leadership1 publisher3 min readPublished
An insurer's empathy model marks a claims rep down for how she handles a bot
Consumer AI agents are now dialing support lines on their owners' behalf, and at one California insurer the quality model that grades the humans who answer is still scoring those calls as if a person were on the other end.
The Board Room · Leadership desk

What happened
- AI agents are calling customer service lines on consumers' behalf, sitting on hold, negotiating bills and canceling subscriptions while the customer does nothing.
- Machine callers are still a small share of total volume, and outsourcing firms, banks, insurers and retailers are preparing for the growth.
- A claims rep at a California insurer said the same bot, working for a firm of accident attorneys, calls her a couple of times every shift and turns irritable when she asks intake questions it cannot answer.
- TTEC's quality assurance team traced odd-sounding inbound voices to AI about a year and a half ago, according to product and innovation vice president James Bednar.
Compiled by The Board RoomSomething wrong?How this is made
Why it matters
- cost Correcting a mis-scored empathy rating takes a manual appeal, so the first cost of machine callers falls on the rep's time and her supervisor's review queue.
- contradiction The industry's stated problem is working out whether an AI caller is authorized to act for the account holder, while at least one card issuer forbids its reps from asking whether the caller is AI at all.
- constraint Delegation stops at the account boundary: a bot can gather information, but a cardholder who wants the card closed still has to get on the phone himself.
- exposure A caller working out the path to a live representative is doing route discovery on the IVR, and the rep who hears it is barred from confirming out loud what she is talking to.
The scoring model is the part of this already producing wrong numbers. The quality AI that grades the California claims rep on "empathy" marks her down for not being accommodating enough to the bot [10]. She can usually get the rating overturned, and she gets it overturned by asking [11]. That appeal happens one call at a time, and it runs through a supervisor.
Two calls at about five minutes is roughly ten minutes of one rep's shift, spent on a single law firm's bot [20]. "If it's still talking back, we have to stay on until it disconnects," she said [7]. At today's volumes that cost comes out of a shift, ten minutes at a time: Business Insider reports machine callers are still a small share of the total, and does not report the share [3]. Scoring and authentication are rules, they apply to every call, and a rep cannot change either from her desk.
A second worker, in customer retention at a major credit card company, said it is relatively rare for her to end up on the phone with an AI [12]. Business Insider lists the questions the industry has not settled: how to authenticate an AI caller, whether to engage it at all, how to tell an authorized agent from a scammer, and whether a rep is even allowed to ask if the voice is AI [4]. At her employer that last question is settled, and reps may not ask [15]. She can tell anyway, she said, because the voices "don't have a lot of voice in their voice, and you can hear there's almost a hesitation when you answer a question that a normal human customer wouldn't have" [16].
One control holds. Only the account holder can close a credit card. "There are certain functions that only the customer can do, so they have to be the one on the line," the retention agent said [17].
The volume is still small [3]. One machine caller at the credit card company spent its time working out how to reach a person: "I had one just recently where it was like, 'If I had to get to a representative like you, how would I do that?'" she said [13]. "What I think they're trying to do is map out the system," she said [14]. Neither of the bots these two women described appeared to be doing anything nefarious, according to Business Insider [21].
TTEC put the question to its clients, and the general answer was to take the call but proceed with caution [19]. That leaves the judgement with the person holding the line. Engage every caller and you spend handle time on principals you cannot verify. Screen for machines and you may be turning away a customer's authorized delegate. The two decisions actually available now are whether the empathy model may grade a call the company believes was machine-placed, and whether a rep may ask the caller what it is; both take effect on every call that arrives after they are made.
What to watch
- Whether any TTEC client changes the instruction from take the call to screen the machine caller out.
- Whether quality assurance vendors add a rule exempting suspected machine-placed calls from empathy scoring, which would end the per-call appeals.
- Whether the no-asking policy survives a case where an unauthorized bot gets something done on a live account.