5 Ways to Protect Your Company from AI Pitfalls

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Going into 2024, AI is shaping increasingly features of our model expertise, together with customer support.

Nevertheless, whereas AI can deliver quite a few advantages — from automated workflows to elevated productiveness amongst workforce members — there are lots of potential pitfalls that may hurt companies. Even tech leaders like Invoice Gates, Elon Musk and Geoffrey Hinton have warned in opposition to AI applied sciences.

So, what missteps do it’s essential to keep away from when harnessing AI for your online business, particularly for customer support? And what methods are you able to leverage to take action?

This is the complete run-down.

1. Develop a complete understanding of AI

To start with, it’s essential to spend a while growing a complete understanding of AI earlier than you consider deploying it. Many pitfalls originate from a lack of awareness about what AI really is and what it could — and might’t — do.

Many companies see AI as a magic wand to extend their effectivity effortlessly. This impression is fuelled by on-line hype discourse in addition to the gross sales copy utilized by suppliers of AI instruments.

To demystify AI, it’s best to familiarize your self with primary terminology, the importance of coaching knowledge and the various kinds of fashions and machine studying algorithms on the market. This information may even assist you to severely assess any AI instruments you may think about using in your online business.

Associated: Does AI Deserve All of the Hype? This is How You Can Really Use AI in Your Enterprise

2. Resist the urge to hurry forward

A second technique to protect your online business’ customer support from AI-related pitfalls is to withstand an urge to hurry.

Over the previous 12 months, AI adoption has been speedy in numerous sectors of the net sphere. It is simple to get the sensation that your organization will likely be left behind when you do not undertake AI instantly.

To a sure extent, that is true. AI is rapidly changing into normal in lots of areas. Nevertheless, it should be carried out with care, particularly in external-facing areas like customer support. A botched roll-out of an AI-based buyer communication instrument, for example, will do extra long-term reputational injury than an extended delay in adopting it.

3. Perceive the liabilities and limitations of AI instruments

Subsequent, it’s essential to acquire a greater understanding of the weaknesses and limitations of customer-facing AI instruments.

Whereas the capabilities of generative AI like ChatGPT, Jasper and Bard are actually spectacular, it is essential to needless to say their efficiency relies on an enormous quantity of coaching knowledge and statistics. These fashions have been skilled to acknowledge patterns and to mimic them, to not be modern, perceive nuance or remedy issues by means of artistic and interconnected considering.

As an example, researchers have discovered that ChatGPT can solely remedy between 40 and 75% of a set of commonsense questions.

Equally, generative AI fashions are liable to misread colloquialisms, neglect cultural context and fail to contemplate nuances in skilled jargon. All of this can be problematic relying in your area of interest in addition to the placement and demographic traits of your clients.

One strategy to mitigate that is to make use of superior contextual reasoning AI fashions and fashions that combine structured data bases. These are inclined to carry out significantly better at differentiating between literal and figurative language, for example.

Associated: Why Are So Many Corporations Afraid of Generative AI?

4. Determine delicate domains

One other technique to stop any damaging results on customer support is to determine domains and conditions which can be too delicate for AI to deal with.

As an example, AI chatbots could possibly maintain routine inquiries reminiscent of scheduling appointments or giving updates on the standing of orders. However when a buyer has a posh query that requires an understanding of data fragmented throughout completely different conversations, it’ll most probably require a human agent to deal with it.

Equally, when an upset or agitated buyer reaches out, relegating them to an AI agent can amplify these damaging feelings, particularly if the AI offers responses that, whereas right, can simply seem uncaring or callous.

Associated: Tips on how to Flip an Upset Buyer Into Your Firm’s Finest Advocate

5. Spend money on meticulous model calibration

Lastly, one essential technique to hold your organization secure whereas reaping the advantages of AI for customer support is to put money into model calibration.

Your voice is an important component of your model id. The voices of profitable manufacturers — the tone and method during which they convey with clients — are immediately recognizable and constant. If you implement AI, it is essential to make sure that it is able to reproducing your voice. In any other case, your clients will discover the discrepancies, resulting in model dilution.

As talked about above, all AIs depend on coaching knowledge. Many instruments on the market can use brand-specific knowledge to calibrate and modify the voices and modes of output.


For customer support, AI brings unprecedented alternatives for enhancement, in addition to probably disastrous pitfalls.

By adopting the methods above, you may profit from the previous with out struggling the latter. With them in thoughts, rigorously re-evaluate any instruments you utilize already and totally assess new ones earlier than deploying them.

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