Turgut Jabbarli

Building next gen Bus-Ops platforms by partnering with accounting and PE firms.
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[Turgut Jabbarli @tabbarli]

@Jason this was me with arsenal when they won epl finally after 22 years. feel you Jason!

[Turgut Jabbarli @tabbarli]

I had an interesting conversation with an accounting firm owner today.

He told me something that most AI discussions completely miss.

Reviewing a tax return can take him up to an hour.

Could AI review 95% of it? Probably.

Could it review 99% of it? Maybe.

But he still has to review the entire file himself.

Why?

Because if there's a mistake, he's the one carrying the liability, not the AI.

That's where many AI ROI calculations break down.

Automating 95% of a workflow sounds impressive.

But if a human still needs to perform a full review at the end, you haven't removed the bottleneck. You've just changed the way the work gets done.

In industries where accuracy matters more than speed, the last 1-5% is often worth more than the first 95%.

AI won't truly transform these workflows until it can either:

1. Reach near-perfect reliability, or
2. Change how trust, accountability, and liability are handled.

Until then, we need to be honest about what AI is actually saving and what it isn't.

[Turgut Jabbarli @tabbarli]

@wingedPigBBQ @sweatystartup AI race is much more concentrated unfortunately. Lets see how it opens up.

[Turgut Jabbarli @tabbarli]

@sweatystartup this is more likely the answer. i have been hearing from my network in these big tech companies and almost most of them go bcz of redundancies.

[Turgut Jabbarli @tabbarli]

@fin465 Send

[Turgut Jabbarli @tabbarli]

Dropping him out was the right call especially after Maguire’s ego-bruised statement

[Fabrizio Romano @FabrizioRomano]

🚨 Thomas Tuchel: “I was surprised to read Maguire’s statement [saying he was shocked]. We had a private conversation and he had the chance to express his feelings”.

“The decision is we stuck with the central defenders who carried us through the autumn”.

[Turgut Jabbarli @tabbarli]

I was in high school last time we were champs! 😍🔥

[Arsenal @Arsenal]

The Arsenal. Premier League champions. Read all about it 🗞️

[Turgut Jabbarli @tabbarli]

One of the most underrated approaches currently is to try to partner with industry veterans with deep networks who are bored with their life and looking for some energy. They have the tribal knowledge, and if you have the technical/AI edge, that can be a very productive relationship!

[Turgut Jabbarli @tabbarli]

Main Street will be biggest beneficiary of AI

[Boring_Business @BoringBiz_]

OpenAI is aggressively hiring leads to manage partnerships with private equity firms and drive efficiencies into their portfolio companies

Earlier today, Anthropic announced Claude for Small Business, which allows AI to work inside tools that are regularly used by SMBs

It is clear to me that the technology is slowly making its way down market to every corner of the economy

The adoption curve is moving beyond just the Fortune 500 or the tech startups in Silicon Valley

It is coming to your local HVAC repair shop, laundromat, restaurant, car wash and construction business, probably in the next 12-18 months

Things are about to get really interesting

[Turgut Jabbarli @tabbarli]

Market starting to realize the SMB market is going to be as important if not more in the next decade.

[Alex Lieberman @businessbarista]

Anthropic just made a massive bet on small business AI through Claude for Small Business.

This story is profound & personal for many reasons I'm about to share...

1) @tenex_labs is @AnthropicAI's official AI transformation partner for Claude for Small Business.

Some highlights of the partnership:
- We co-built the Cowork small business plugin: 31 skills built around the workflows SMB owners actually run (planning payroll, closing the month, chasing invoices, running campaigns).
- We co-created the Claude SMB Tour: a 10-city, free, half-day workshop for 100 SMB leaders per stop. Starting in Chicago today.

2) Bringing SMBs along for the AI ride is so important for our country:

- Small businesses are 44% of U.S. GDP. They're plagued by scarcity of money, of people, of time. AI can bring them abundance.
- If every SMB gets a 10% lift in profits from this technology, that's a $1.41 trillion increase in U.S. GDP.
- And the point most people miss: SMBs can move faster with AI than any Fortune 500. No crippling bureaucracy. No governance overhead. No corporate politics.

If you want to see what's possible, read the recent Fortune piece on Rick Chorney.

29-year-old high school dropout. Started a janitorial company in Abbotsford BC in 2023. Year one: 7am to 1am, 7 days a week, $14/hr.

One day he spent 4 hours figuring out how AI could help. Automated intake. AI receptionist for $99/month (replacing a $4K/month role). AI email triage cut his inbox to 20 minutes a day.

Year 1: $242K. Year 2: $1M. Year 3 (projected): $1.3M.

He works 8-hour days now. Takes vacations. Uses Claude as his business advisor.

Rick is the roofing contractor in Tulsa, the bodega owner in Queens, the local accountant in Birmingham. He is the gold standard of what we need to help every SMB in American become.

3) I was this SMB audience for a big chunk of my entrepreneurial career.

For most of @MorningBrew's life, we were a small business. Small team. No venture funding. Big aspirations. Scarcity was a breeding ground for creativity, but it was painful too. Worrying about payroll. Working insane hours. Saying no to anything that wasn't mission-critical.

When I look at what AI can do today, I can't stop thinking about how much further we could've gone, and how much faster, if we'd had this magic in our fingertips.

I want to make sure the next person building their version of the Brew gets to feel and harness that magic.

[Turgut Jabbarli @tabbarli]

A CTO asked me an interesting question today:

“How are you solving the reliability problem with AI agents?”

He brought up something most people in AI avoid talking about:

Agents hallucinate.
They get stuck in loops.
They fail silently.
And one bad decision can ripple through an entire workflow.

Honestly, I think the market is still overestimating how “autonomous” these systems are today - especially in real operational environments.

Our approach has been much more practical.

Instead of giving agents unlimited freedom, we constrain them:

* scoped permissions
* structured outputs
* validation layers between steps
* confidence thresholds + fallback logic
* human approvals for higher risk actions

We also log workflow states so failures can be replayed or rolled back instead of silently propagating downstream.

What we’re seeing is that businesses don’t actually want AI making every decision.

They want:

* less operational friction
* faster execution
* less repetitive coordination work
* better visibility across operations

Reliability matters more than autonomy right now.
Especially in traditional industries.

[Turgut Jabbarli @tabbarli]

Industry has been doing this for decades now doing with AI wrapper promising more in return.

[Alex Lieberman @businessbarista]

AI transformation is just a cooler way of saying data engineering, process mapping, change management and intelligent automation.

[Turgut Jabbarli @tabbarli]

To stand a chance of success in the world of generalized AI and LLM models you need to choose your domain of niche/expertise very carefully. It is not about execution anymore. Positioning and distribution will determine the scale of your success. We are early in this process ourselves. We can either spend time now to find your niche or waste time being mediocre.

[Turgut Jabbarli @tabbarli]

Rental search in the bay area is brutal. 3 months in we are still looking. No one is buying and all those qualified buyers are in the rental market. It is mot abnormal for bay area rental to get 20 plus applications.

[Turgut Jabbarli @tabbarli]

the biggest advantage in business used to be size. more people, more data, more budget.

now it's the opposite.

i watched a billion dollar software company quote a manufacturer 12 months to onboard. we did it in 4 with a fraction of the team.

the shift isn't AI vs no AI. it's who can move fast enough to use it before the committee finishes their vendor evaluation.

enterprise advantage is becoming enterprise drag. and the operators who figure that out first are the ones winning deals right now.

[Turgut Jabbarli @tabbarli]

my wife started making music a few months ago. no studio, no label, just her laptop and some free tools. now our kids only want to listen to her songs in the car. AI didn't replace her creativity. it just removed every barrier between her and the thing she wanted to make.

[Turgut Jabbarli @tabbarli]

@businessbarista AI-native

[Turgut Jabbarli @tabbarli]

we onboarded a manufacturing firm in 4 months. the billion dollar software company they were evaluating quoted 12 months. honestly i think big companies just sell timelines at this point. we showed up and needed to get the thing working so we did.

[Turgut Jabbarli @tabbarli]

@FaicelessC7398 Thats great we need to see accounting version of that now. Local models all around!

[Turgut Jabbarli @tabbarli]

I was speaking with an accounting firm around AI opportunities and one major risk factor is they can't use services like OpenAI or Claude as they deal with highly sensitive docs from clients. My guess we will see very hyper-niche companies serving that space by using local models