Alex Porcelli

Co-Founder @ Aletyx - Bridging Symbolic AI + GenAI for Enterprise AI | PPMC Apache KIE - 17+ yrs Driving Drools, jBPM and Kogito | ex-IBM ex-Red Hat

[Alex Porcelli @porcelli]

@mcuban is not wrong.

But consistency is only part of the story.

The real challenge shows up when AI is used to make decisions in high-stakes systems.

In those environments, domain knowledge and human judgment help, but they are not enough. You still need decisions that are applied consistently and are auditable, reproducible, and explainable against policies and regulations.

That is a problem that has been around for a long time. It just moved layers.

It used to be built into enterprise systems. Now those same guarantees have to hold at the AI layer.

Been working on this space for close to two decades. Going deeper on it at @QCon AI Boston

[Mark Cuban @mcuban]

I’m coming to the conclusion that the biggest challenge for Enterprise AI, and AI in general , as of now, is that it’s still impossible to make sure that everyone gets the same answer to the same question, every time.

Which is a great response to the doomers. AI doesn’t know the consequences of its output.

Judgement and the ability to challenge AI output is becoming increasingly necessary, and valuable.

Which makes domain knowledge more valuable by the second.

Am I wrong ?

[Alex Porcelli @porcelli]

and yesterday I also announced the release of @aletyxai Kogito AI AddOns that enables Kogito workflows to coordinate and orchestrate AI Agents alongside humans.

https://t.co/DPtDMrftNl

Demo from my presentation of @arcofai that leveraged the Kogito AI AddOn:
https://t.co/mTt3kxexAh

[Alex Porcelli @porcelli]

early this week I announced the Apache KIE 10.2.0 release

Apache KIE is the umbrella project for Drools, jBPM, Kogito and OptaPlanner

https://t.co/rBDx5r2E09

[Alex Porcelli @porcelli]

"The model said so" isn't an answer regulators and auditors are looking for.

That's why AI is still locked out of the high-stakes core of the business. Loan approvals. Insurance claims. Regulated workflows. Healthcare.

I'll be talking about how to change that at @QCon Boston AI on June 2.

Live on stage: a corporate decision model driving Agents, Skills, and Guardrails with NVIDIA NeMo. That's how the agentic stack becomes accountable.

https://t.co/ULmuPfVhQx

[Alex Porcelli @porcelli]

it’s a wrap!

this 2nd edition consolidated @arcofai as a must-attend conference on the circuit.

grateful to have presented at both editions, and already looking forward to coming back next year with more to share on AI.

[arcofai @arcofai]

#ArcOfAI 2026 was one for the books! 🤖

An amazing week packed with learning, big ideas, and an incredible community. From deep-dive sessions to hallway moments—so much to take away.

Huge thanks to our speakers, attendees, & everyone behind the scenes.

🚀 See you next year!

[Alex Porcelli @porcelli]

When they agree? No human needed!

Fully automated, with every input, output, prompt, and decision logged and auditable.

[Alex Porcelli @porcelli]

Yesterday I had the privilege to present at @arcofai about bringing agents into mission-critical systems in a governed way.

Demo video coming this week.

slides: https://t.co/5niDJM9hKF

[Alex Porcelli @porcelli]

Three patterns I explored:

1. Cluster tasks that agents handle. When the agent can't, a human steps in.
2. Add a deterministic gate after those clusters.
3. When the gate conflicts with the AI recommendation, bring a human into the loop with full context.

[Alex Porcelli @porcelli]

the nicest part of early flights

[Alex Porcelli @porcelli]

on my way to @arcofai

really excited to talk about AI in the enterprise for mission critical systems, where determinism, explainability, and guardrails matter

[arcofai @arcofai]

We’re live 🚀

#ArcOfAI starts today with hands-on workshops, followed by an evening of connection:
🎟 Check-in
🍽 Dinner
🎤 Keynote
🥂 Social hour (hosted by Azul)

A full day of learning, ideas, and networking—let’s go 👀

🔗 View schedule: https://t.co/BFkGZk7e0d

#AI #Tech

[Aletyx @aletyxai]

In agentic architectures, not every step can be probabilistic.

When the decision affects a loan, a patient, or a claim, the output needs to be deterministic and explainable.

@porcelli at Arc of AI on exactly this. April 13-16, Austin.

#ArcOfAI April 13-16

[Alex Porcelli @porcelli]

@Sharat_Chander @Oracle WHAT? How’s that possible? I’m sorry to hear that.

It’s a shock how Oracle can make such a big mistake, and let it go such a Java community leadership role model.

Sending virtual hugs

[Alex Porcelli @porcelli]

@brunoborges @GergelyOrosz there’s a banner in my user - that’s how I got informed.

[Alex Porcelli @porcelli]

@brunoborges @GergelyOrosz this is confusing as hell =/

paying user here, the org has nothing related to this, however my personal account does.

[Alex Porcelli @porcelli]

@rayploski cool stuff you working on @rayploski

[Alex Porcelli @porcelli]

@brunoborges but what nobody is talking about….. 😁

[arcofai @arcofai]

Calling all meetup organizers, user group leaders, publishers & community builders👋

Arc of AI supports your community with free ticket raffles, complimentary leader passes & exclusive discounts for members.

👉Join us: https://t.co/a7IxvMivkI
More info: https://t.co/LLtRPWI4oj

[Aletyx @aletyxai]

Policy changed.
Analyst knows what to do.
But the decision model? 12 tables + dozens of expressions must stay consistent.

That gap is where the time goes.

DM for the AI Assistant preview (Limited spots).