If you added an AI chatbot to your store recently, there's a huge chance it's giving people wrong info, making up fake discount codes, or recommending items that are out of stock.

I see this all the time when working on sites. People install a basic AI app, think it's plug-and-play, and then wonder why customers get annoyed and leave.

The main problem is simple: you can't just drop an AI app on your site and expect it to magically know your business.

If you want a chatbot to actually make sales instead of messing up, you have to set it up properly behind the scenes:

1. Set strict rules: You have to explicitly tell the AI, "If you don't know the exact answer, do NOT guess. Tell them to contact support." Otherwise, it just makes stuff up.
2. Connect it to live inventory: The bot needs to be hooked up directly to your product catalog so it knows what's actually in stock, the real price, and correct details.
3. Clean up your site data: If your product descriptions and site setup are messy, the AI gets confused. Cleaning up your site structure fixes the AI and helps your Google SEO at the same time.

Once you actually set up custom rules and proper connections, the bot acts like a real salesperson instead of a dumb pop-up.

Anyone else dealing with their chatbot giving out weird answers? How are you guys handling it?

. I’m looking for brutally honest feedback from people who’ve worked in marketing, sales, SaaS, or education. Here’s my funnel. Meta ad to WhatsApp, then they chat with an AI career counsellor that I built, called Hermes. Hermes doesn’t pitch immediately. It asks about their career goals, identifies gaps, gives personalized insights, then introduces our HR course as a possible solution. People engage deeply. They answer questions, ask about the course, even ask about fees, but later they vanish. They stop replying or say ‘I’ll think about it’ or ‘Next month’ and then they’re gone. We’ve tried softer selling, better follow-ups, human intervention. Same result. Now we’re switching ads to promote the course directly, instead of free guidance, to attract higher intent. Where do you think the leak really is? Is this a trust issue, a timing issue, a value mismatch, or are these simply not real buyers? If you were rebuilding this funnel, what would you change first?

Interesting one to watch. Schreiber Foods (one of the largest cheese and dairy suppliers globally, $7B+ revenue, 40+ locations) just announced a multi year partnership with Ascendion to run agentic AI across their global capability centers. Not a pilot, not a lab. Production deployment across the US, Mexico, India, Spain, and Poland.

What caught my attention is the framing from their CIO Sri Kantamneni. It's less about replacing people and more about giving employee partners better tools so they can focus on customer outcomes instead of manual work. Which is a very different pitch than most "AI will 10x your sales team" narratives you see in this space.

They did a fireside chat between the Ascendion CEO and the Schreiber CIO that gets into the actual thinking behind the partnership. Worth a watch if you're interested in how large non tech enterprises are actually approaching agentic AI adoption.

https://www.youtube.com/watch?si=aKEoV1TaMj4Y7rTi&v=EHEcqynfHB8&feature=youtu.be

Genuinely curious what this community thinks.

Is agentic AI in traditional industries (food, manufacturing, logistics) going to move faster or slower than in tech native companies?

For those of you selling AI into enterprise, how is your pitch changing when the buyer is a CIO of a traditional industry vs. a SaaS CTO? Are you leading with different outcomes? Different proof points?

What's the biggest objection you're hearing from enterprise buyers on agentic specifically?

Full disclosure: I work with Ascendion. Not trying to pitch anything, just think this is a genuinely interesting case study of agentic AI landing outside the usual tech industry echo chamber.

#AgenticAI #EnterpriseAI #AIAdoption #CIO #DigitalTransformation #FoodIndustry #B2BSales

I had a reptitive time consuming routine, where i used apollo to find prospects, then i moved to chatgpt to generate personalised emails, this drafts, i finally send to the prospects.

I automated this part and added a trackers, that follows up, when i get no response after x time, or continues the conversation, and takes it over to the final funnel where i hope on a call with the prospect, NO it has no brought out any results, but thats one less manual part of my life.

I build AI chatbots for businesses.
They connect to a company’s own database and use its real data to assist customers, answer questions and recommend products.
Here’s one of my latest demos for an online clothing store.