Joseph Sticca

Executive Technology Leader | Helping drive Business Transformation through new, emerging #AI and #Web3 technologies

[Optimum Partners @OptimumDWC]

Your AI bill went up. The instinct is a cap. The problem is a cap can only see volume. It cuts volume. Your highest-volume people are usually your most productive.

One task. An agent pulling six fields from a customer email. Loose approach: $8.00. Scoped approach: $0.02. Same output. The gap was model choice, context resent every loop, reasoning tokens billed and thrown away, caching never on.

Uber capped at $1,500 per engineer. Microsoft cut Claude Code. GitHub moved to token billing. All three lowered a number. None closed that gap.

👇See where the money goes before you set a limit.
https://t.co/ilXeXutK3H

📩 Free AI implementation assessment. DM us before we close the spots.

#EnterpriseAI #AISpend

[Optimum Partners @OptimumDWC]

Knowing your bill went up is not the same as knowing why.

Uber capped every engineer at $1,500 a month. The invoice got predictable. The $8 task that should cost $0.02 kept running. Same context resent every loop. Same frontier model on routine work. Same reasoning tokens billed and thrown away.

A cap sees volume. That is it. The waste looks identical to the good work on every dashboard.

Full walkthrough: https://t.co/ilXeXuuhTf

💬 Free AI assessment. DM us before we close the spots.
#EnterpriseAI #AISpend

[Optimum Partners @OptimumDWC]

📉78% of financial firms have active AI pilots.
14% reached production-grade. The gap lives in operations, not technology.

AI added to a broken process makes it fail faster and at greater scale. The teams reaching production-grade defined where AI handles assembly work and where human judgment stays in the loop before selecting any model.

Most deployments skip that boundary. They find it when something goes wrong in production.

Worth a read.
https://t.co/Lqdlg59nIn
#AIinFinance #EnterpriseAI

[Optimum Partners @OptimumDWC]

This week was about what the deployment business case never modelled.

[Optimum Partners @OptimumDWC]

Giving someone AI tools without changing their job is giving them a faster treadmill.

Hours free up. You load more hours of the same work. They run harder. The role has not changed in any way that matters to them.

A real role change rebuilds the job around what the person can now do.

The compliance analyst spending 70% of their time on document review shifts to exception analysis and regulatory interpretation. The AI handles volume. The human handles judgment.

Most deployments skip that question. The plan ends at go-live. The role conversation starts when the resignation lands.

Walkthrough: https://t.co/jfwoH46oAd

#AIChangeManagement #EnterpriseAI

[Boring_Business @BoringBiz_]

CEOs walking into work after realizing that the AI tokens are going to cost more than the employees they fired

[Joseph Sticca @Joe_Sticca]

Oh we know this very well and helping others with our learnings.

#AITokens #AICosts

[Alberta Tech @albertadevs]

BREAKING: CEO discovers tokens cost money

[Optimum Partners @OptimumDWC]

Ask your fraud system and your onboarding system the same question about a customer. You'll get two answers. Both confident. Neither knows the other exists.

That's not a model problem. Each tool learned your business from whatever it was handed when it was set up. One got the policy doc. One got a spreadsheet. One got nothing.

Mustang is the knowledge layer underneath your whole AI stack. One source of truth your tools draw from instead of inventing their own.

What's the most expensive thing two of your systems disagree about?

[Optimum Partners @OptimumDWC]

Shadow IT used to mean a spreadsheet in the wrong place. Now it means a tool nobody approved is writing logic into a system that moves money.

An analyst built it in an afternoon to skip a backlog. It worked. People depended on it. Now it runs a step in your monthly close and no one who can read what it does has ever looked.

85% of people using these tools never got sign-off. The approval happened by default, one shortcut at a time.
Walkthrough: https://t.co/1vR624A1AX

What's the most load-bearing thing in your business nobody officially approved?

[Optimum Partners @OptimumDWC]

AI-generated code leaked 1.5 million API keys this year. Every one of them passed review.

Not skipped. Passed. Someone saw it run and approved it. Nobody traced what it actually did.

That's the gap. The code is plausible. Plausible isn't correct.

92% of US devs now write code with AI daily. That's what makes the call hard.

Who reviews AI-generated code at your company? Senior line-by-line, staging-passed-so-ship, whoever has capacity, or define "reviews"?

👇 Drop it below. Full read Tuesday.

[Optimum Partners @OptimumDWC]

The fastest-growing pile of untested code in your company is the code nobody actually wrote.

AI generates it in minutes. Your QA still verifies it against the spec, by checking the interface.

The expensive failures aren't in the interface. They're in your pricing rules and compliance exceptions, the logic the spec never captured.

The Tester is a team of AI agents, powered by Mustang, that tests against what your business actually requires. Continuously.

👇 Want a first look before launch? Comment DEMO.

[Optimum Partners @OptimumDWC]

70% of executives say their AI governance is not fit for the agents already running.

The policy exists. The foundation does not.

You cannot govern 1,600 agents when each one learned a different version of your business. Different context. Different rules. No two know the same company.

Mustang is the knowledge layer underneath your entire agent stack. One source of truth for your contracts, policies, and business logic.

Governance starts here.

👇 Comment MUSTANG for a private first look before launch.
#SovereignAI #AIGovernance

[Optimum Partners @OptimumDWC]

Ask your IT team how many AI agents are running.
Then ask engineering.

Then ask the three departments that have been building their own since last year.
The three numbers won't match.

[Optimum Partners @OptimumDWC]

Three changes separate the enterprises in control of their AI spend from everyone else.

All three are operational. Nothing in the stack changes. The way it's governed does.

You go from explaining last month's invoice to knowing this week's cost by workflow.

The walkthrough: https://t.co/cnd9K4Wbvn

#EnterpriseAI #AIFinOps

[Optimum Partners @OptimumDWC]

87% of your AI bill traces to one choice. Nobody made it on purpose.

[Optimum Partners @OptimumDWC]

AI got 67% cheaper this year. Your bill didn't.

A chatbot answers once. An agent loops until done. Every loop gets billed.

Same task, up to 30x the tokens.
Most teams can't say which part of the system is eating it.

Where does yours leak? Retry loops, context re-sent every call, always-on agents, or no idea?

Drop your answer below. Full breakdown Tuesday.
#EnterpriseAI #AIFinOps

[Optimum Partners @OptimumDWC]

The companies running AI that produces results built four things first.

Ontology. Rules. Exceptions. Boundary.
In that order. No shortcuts.

Most enterprises will skip the build and run more pilots instead. The two groups will look identical for a quarter. They diverge by the second.

Full breakdown: https://t.co/R9znDjDMSy

#EnterpriseAI #AIStrategy

[Squawk Box @SquawkCNBC]

"We saw the birth of these new platforms....we actually literally today just launched Circle Agent Stack," says @Circle CEO @jerallaire. "It’s for humans that want to go there and developers who are building AI agents, but it’s also for agents." https://t.co/B2dQW9bDim

[Optimum Partners @OptimumDWC]

The bug that makes it into your board deck is not a UI bug.

It is a business rule. A pricing clause that shipped wrong. A compliance check that skipped the exception.
Your QA was green the whole time. It was testing the button, not the rule.

The Tester, powered by Mustang, reads your contracts and policies the way your team does. Then tests the logic.

Comment DEMO.

#TheTester #SovereignAI