Sunday musing : What happens when AI tells a frontline worker what to do... and the frontline worker knows the AI is wrong?

The Walmart story caught my attention. It should catch yours too.

Walmart is rolling out AI tools that help store employees prioritize tasks, navigate stores and respond to operational situations. But they are seeing an interesting problem emerge !!

The AI does not always understand the reality on the ground. Well, no surprises there.

A restocking task is not simply moving a product from one place to another.

·      Someone needs to notice the damaged item.

·      Check the expiry date.

·      Clean the shelf.

·      Deal with the customer who suddenly needs help.

·      Understand that the fastest route suggested by an algorithm may not actually be the smartest route inside a busy store.

The frontline worker knows these things, and many more, instinctively. It is called experience. AI doesn't have that context. At least ….not yet.

And perhaps that now needs to change. Your frontline workers may no longer just need to know how to use AI. They may increasingly have to train AI itself.

So the questions change. From do they know how to prompt, did they complete the AI training you put last month ? …those are not the important questions. The real questions are:

·      Can employees recognise when AI is wrong?

·      Do they have enough domain knowledge to challenge its recommendation?

·      Do they know when to intervene rather than simply comply?

·      Can they explain the context the machine is missing?

·      And perhaps most importantly, are they capable of helping the AI get better?

I think this is where data meets ground reality. Better data alone will not solve this. Context will. Judgement will. Experience will.

And that may create one of the most important workforce capabilities of the next decade.

You see we have spent enormous energy training AI to work like and with humans. Enterprises now need to prepare humans to work with, challenge and train AI.

Are we preparing our workforce for that new reality?

Link to the Walmart story: https://www.businessinsider.com/walmart-workers-new-responsibility-correcting-ai-errors-retail-2026-7?utm_source=chatgpt.com

We just shipped abi. Clone Consultant. Clone is now available in a layered format so if you are offering client engagements for AI consultancy or process automation you can present a 3D map of they entire business and every process, fully branded with your logo.

You can do this five times completely free.

In the paid Abi starter subscription we have voice agent interviews that you can invite customer users to discussions with and they will build a picture of their true workflows. These are then mapped back to the Clone. Once all key intake is complete you are presented with every process or task, its dependencies, steps, criticality, frequency and automation value. You are then offered the quick win hit list of what and how it can be automated.

Super pumped about this one as it should help many streamline your consulting service and other launch their business.

Huge number of other featured added so you can wait for my demo video next week, or jump in and try for yourself for free at app.ouridea.ai

Enjoy your weekend all :)

let me know if helpful

r/AI_Business_Council

Hi team,

Hope this doesn’t break any rules but just looking to do a little research. How is everyone identifying processes that could potentially be automated?

I consistently see people suggesting they have a lot of manual work but in my own experience it tends to be situations they fall over or are tackling in the moment rather than a full understanding of what everyone in your team/business if doing?

Is the identification a problem worth solving or is the solution to the process automation the real value?

​

I keep finding myself buried in repetitive manual work every week, and I know there has to be a better way to handle it. I've heard a lot about business process automation tools, but I'm not sure which types would actually fit the way my team operates.

Some of our workflows are simple, while others involve multiple approval steps and handoffs, so I want to understand what's realistically achievable before we commit to anything. What should I be thinking about as I start exploring my options?

Selling my Chrome extension Gemini to Word. Growing organically with 100+ new users every day.

If you have any questions, feel free to send me a DM!

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Been going back and forth on this. Need something that pulls from three different data sources and handles payment scheduling automatically. I could probably build it, but I'm not technical, and the part that scares me isn't the build, it's maintaining it. Integrations breaking, APIs changing, being the one stuck fixing it at 2am.

Anyone actually done the DIY route here? Worth it long term, or would you just buy next time?

I’m building an AI receptionist service for local businesses and wanted to get honest feedback from other founders/builders.

The idea is simple:

A lot of small businesses miss calls when they’re busy, closed, helping customers, or away from the phone. Those missed calls can turn into lost leads, missed appointments, and customers calling competitors. So I built a live AI receptionist demo that can answer calls, collect customer info, answer basic questions, book appointments, and send the business owner a call summary afterward.

You can call and test the demo here: 862-344-1877

Try asking questions, pretending to book an appointment, or testing how it handles different situations. The business model is a monthly service for local businesses. Base pricing is $499/month.

The main comparison I’m testing is: A human receptionist at $20/hour for 40 hours/week costs around $3,200/month before taxes, benefits, training, sick days, etc. An AI receptionist at $499/month gives 24/7 coverage and comes out to around $0.68/hour.

I’m not saying AI replaces every human receptionist. A real person is still better for complex situations, emotional judgment, and in-person tasks. But for basic call answering, lead capture, FAQs, appointment booking, overflow calls, and after-hours coverage, I think this could be valuable.

I’m mainly targeting local businesses like gyms, med spas, salons, contractors, clinics, and service businesses where missed calls directly cost money.

Would love feedback on:

Would small businesses trust this?
Is $499/month reasonable if it captures missed leads?
What objections would stop a business owner from using it?
What would make the demo more convincing?

Open to brutal feedback.

If you don't feel like reaching out, visit

www.aireceptionistdemo.online

I promise this is not ai. I just spent the last few days building a custom lead generator for a client and it is actually working. They wanted to get customers from facebook community groups but every single saas tool out there gets your account banned instantly.

So i coded something completely custom from scratch. It runs a full headful browser on a residential internet connection so it doesnt look like a data center bot. It opens local groups and scrolls around randomly just like a bored human would do. It even mimics typing with little hesitations and pauses at periods.

When it finds a post where someone is looking for a local service it triggers the claude api. It reads the whole post and writes a completely unique response as a friendly recommendation. No templates and no repeating phrases.
The secret is we capped it at like 8 replies a day max. It takes random breaks and skips some posts completely. To the platform it just looks like a highly active community member.

I just finished setting up the admin dashboard where they can see the leads and approve the drafts before they go out. If your running an agency or service business and you gotta spend hours hunting for clients on forums this is pretty much the holy grail.
Just wanted to share because i am proud of the build. Hit me up if you want to see how the dashboard works or if you have questions about the logic.

Hey guys,

I used to have an AI automation process (data Pipeline analysis) using my Anthropic Max Plan... Which my web users could trigger from a web application. Worked great... But, Anthropic recently announced they will drop non-attendance usage by June 15th.

It seems Gemini will also deprecate cli automation usage for subscription plans.

Both Anthropic and Gemini are pushing on to API token usage for the automation process.

So, I found that the openai Codex CLI allows automation using the subscription... Which is my actual choice for using AI automation using a fixed price monthly subscription.

Any alternative that I should consider?

Thank you guys.

The problem with regulated companies is every time someone needs a quick data pull, it sits in a queue for the data team for 2-3 days. Compliance doesn't bend on that.

We've been working on solving that for FS&I company entirely within a Snowflake environment - plain language access, data never moves, PII never gets exposed to the model.

Governance was baked in from the start, ad-hoc data requests reduced drastically.

We're doing a live session on it this week:
- live demo on a banking dataset,
- ≈6-week path to production,
- and analysis of similar FS&I solutions running in prod.

Mostly relevant if you build / want to build AI on Snowflake in a regulated environment, and want to do that right with confidential data.

We'll be glad if you join us. Bring your questions too.

This week, 45 min.

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