enosix

10/07/2026

One sales order. Six small breaks. A month of accounts receivable cleanup.

A configuration slightly off. A price that changes. A ship date promised on inventory already allocated. A split shipment, an invoice that doesn't match the PO, and a customer who short pays.

Order to cash is the path from a customer's order to collected cash, and it's where Nick Fera, Chief Executive Officer of enosix, says AI should be working. At $1 billion in annual credit sales, every extra day of days sales outstanding ties up about $2.7 million.

Which step in your order to cash breaks most often?

Read Nick's full article: link in the first comment.

10/06/2026

The Bad Transaction Test, from Gerald Schlechter, Founder and Chief Strategy Officer of enosix, is a five-question check for AI agent governance. Swipe through for the questions and the fix.

The fix isn't a smarter model or a second copy of your SAP rules. It's letting AI run the live SAP process that already knows the answer.

Governed ex*****on means every action an AI agent takes can be traced to the rule that made the call, the data it used, and the limits it was given. That's what arnold® AI by enosix is built for: governed AI ex*****on on live SAP logic.

Our offer: bring us the SAP workflow your AI can't finish. Not the easy one. The one where it breaks. One account, one real workflow, about ten business days.

Book a Working Session: link in the first comment.

10/01/2026

A bad answer is annoying. A bad transaction hits the P&L.

AI agents now price orders, allocate inventory, and extend credit inside SAP. When one gets it wrong, the mistake shows up in revenue, working capital, and customer trust.

Smart is getting cheap. Right is not.

Gerald Schlechter's whitepaper includes the Bad Transaction Test: five questions to answer before an agent touches a live SAP transaction.

Which of those mistakes would cost you most?

Download link in the first comment.

09/29/2026

Gartner expects the average Fortune 500 enterprise to run more than 150,000 AI agents by 2028, up from fewer than 15 in 2025. Only 21% of leaders say their organization has a mature governance model for agentic AI (Deloitte).

Most enterprise AI governance today checks what an agent can access. Very little checks whether the decision it made was right: which rule made the call, which data it used, and what it was allowed to do.

That logic isn’t missing. It has lived in SAP for decades: pricing conditions, availability rules, credit limits, configuration constraints. What gets dismissed as legacy baggage is operating expertise, earned one decision at a time.

In his new article, Gerald Schlechter, Founder and Chief Strategy Officer of enosix, makes the case for letting AI agents use that expertise instead of rebuilding it somewhere else.

Is your team governing agents, or governing decisions?
Read the article: https://bit.ly/4ylEHwI

09/25/2026

Before an AI agent touches a live SAP transaction, can you answer these five questions?
1. Which rule made the call?
2. How fresh was the data?
3. What action was it allowed to take?
4. Can you replay it?
5. Can you undo it?

If not, you don't have governed ex*****on yet. You have an experiment with permission to transact.

Gerald Schlechter breaks down the Bad Transaction Test in his latest article, AI Is Getting Smarter. Don't Let It Make Your Business Dumber: https://bit.ly/3TuIJDM

AI is getting smarter. Don't let it make your business dumber. The output must be right, economically and operationally, inside the rules that run the business.

06/24/2026

"Where's my order, and why was I billed twice?”

A simple customer question. But when the answer is scattered across four systems, your rep is guessing and your customer is escalating.

enosix has spent over a decade making SAP work in real time. Now arnold™ pulls the full customer picture from live SAP and acts on it, with your team making the call.

See arnold™ in action: https://bit.ly/4oOIsaj

06/17/2026

When your customer service system hedges, your customer pays for it.

arnold™ completes the work. Your team makes the call.

See arnold™ in action: https://bit.ly/3SLyEBG

05/05/2026

Faster quotes. Fewer errors. Deals that don't stall waiting on SAP data & logic. Here's how we're making that possible inside Microsoft 365.

SAP holds your most critical business data. Microsoft 365 is where your teams actually work. Those two worlds have stayed frustratingly separate—slowing decisions, stalling quotes, and creating workarounds that cost time and margin... until now.

arnold™ by enosix is coming soon as a launch partner plugin for Microsoft 365 Copilot Cowork, enabling your teams to work seamlessly with the full context of live SAP truth—without changing how they already work.
Less friction. Faster decisions. Better ex*****on.

Book a meeting with our team to see your own workflows live: https://bit.ly/4ezQRLH

Whatever tools your teams run on, you’ll be able to bring them into Cowork. Learn more about it by reading Microsoft’s recent article, link in comments.

04/27/2026

Time is running out to register for Thursday's webinar: Accelerate B2B Sales via B2B Commerce, with Real-Time SAP Ex*****on.

Register now: https://bit.ly/4conTgh

Join Paul do Forno, Dwayne Doshier, and Gerald Schlechter on Thursday, 4/30, at 12:00 pm CT to learn how Deloitte Digital, Shopify, and enosix are redefining what’s possible in modern commerce.

SAP-connected commerce is no longer a niche problem. It is a growth problem, and B2B enterprises deserve a real answer, not a sales pitch.

04/23/2026

Your buyers expect accurate pricing, real inventory, and instant order confirmation. SAP-connected commerce is no longer a niche problem. It’s a growth problem that you need to solve to get ahead.

Join Deloitte Digital, Shopify, and enosix next Thursday (4/30) at 12:00 pm CT to learn how: https://bit.ly/4conTgh

Digitally mature B2B companies are growing 110% faster than their peers. The difference isn't ambition. It's ex*****on.

Paul do Forno, Dwayne Doshier, and Gerald Schlechter will share what they are seeing in the market, what is working, where companies get stuck, and what separates momentum from drag.