BUILT with Otavio Pailo

By Otavio Pailo

How can you create a business that never stops growing? My name is Otavio Pailo and for the last seven years, I've built solutions and eliminated bottlenecks across more than fifteen regulated industr... more

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FAQs about BUILT with Otavio Pailo:

How many episodes does BUILT with Otavio Pailo have?

The podcast currently has 21 episodes available.

BUILT with Otavio Pailo episodes:

August 28, 2026 Simple Method to Make Any Business Workflow More Efficient
If you're a $3M+ business in a regulated industry, we'll find the #1 constraint bottlenecking your business and the best solution to solve it - whether it's AI or not - for free: https://alreadybuilt.ai/strategy?r=y26p&utm_source=podcast&utm_medium=description&utm_campaign=Y26-the-work-is-waiting&utm_content=desc_top
Every job in your business runs on two clocks. The first is the one you quote, from the request landing to the work going out. The second is the one almost nobody measures, which is the minutes anyone actually spent doing it. Subtract the second from the first and what is left is waiting. Otavio breaks down how to measure one job end to end, why most AI builds get aimed at the smaller piece of the clock, and where your next build actually belongs.
In this episode:
00:00 The question nobody asks
01:25 Every job has two numbers on it
01:59 Subtract them and you find the waiting
02:21 An afternoon lost to one client question
04:34 103 hours on the clock, 4.5 hours of work
06:37 The biotech bottleneck that moved
07:43 Automation relocates a bottleneck, it never deletes it
10:09 The two numbers to write down this week
More Value:
Learn the tactics my team and I are using as we scale to delivering $1B+ in client value: https://alreadybuilt.ai/built-brief?r=brief&utm_source=web&utm_medium=description_cta&utm_campaign=brief&utm_content=desc_footer
Watch my latest YouTube videos: https://www.youtube.com/@otavio_pailo
DISCLOSURE: Information shared here is for educational purposes only. Individuals and business owners should evaluate their own business strategies and identify any potential risks. The information shared here is not a guarantee of success. Your results may vary. Copyright © 2026.
...more
12min
August 27, 2026 Why Your Team Rejects AI (and How to Fix It)
If you're a $3M+ business in a regulated industry, we'll find the #1 constraint bottlenecking your business and the best solution to solve it - whether it's AI or not - for free: https://alreadybuilt.ai/strategy?r=y24p&utm_source=podcast&utm_medium=description&utm_campaign=Y24-the-incentive-collision&utm_content=desc_top
You paid for AI. It works exactly the way you designed it. And almost nobody on your team is using it.
That is not an attitude problem, and it is not a training problem. Using the system exactly as designed is costing someone on your team money, status or convenience, and until you take that cost away, no mandate is going to move them. What you are reading as resistance is usually somebody protecting a number they are judged on.
Otavio walks through the four steps for aligning what your team is actually rewarded for with the AI adoption you want to see, including what eight weeks inside the mergers and acquisitions practice of one of the hundred biggest law firms in the US turned up: $1.7 million a year in AI spend, with 83% of what came out of it being redone by hand.
In this episode:
0:00 You paid for it, it works, and nobody is using it
1:13 Step one, find what using it exactly as designed costs each role
1:58 The three columns, and why the third one is the hard one
4:42 Eight weeks in a top 100 law firm, and what the measurement found
5:26 How you know step one is actually finished
6:59 Step two, change what the role is graded on
8:20 Rewrite the number, or change what counts toward it
9:25 Why rewriting the number beats paying a bonus
10:49 What school and trading taught me about incentives
16:19 Step three, the handoff where two numbers pull opposite ways
18:13 Step four, give your most senior person a bigger job
20:31 The escalation rules, and what the freed capacity booked
More Value:
Learn the tactics my team and I are using as we scale to delivering $1B+ in client value: https://alreadybuilt.ai/built-brief?r=brief&utm_source=web&utm_medium=description_cta&utm_campaign=brief&utm_content=desc_footer
Watch my latest YouTube videos: https://www.youtube.com/@otavio_pailo
DISCLOSURE: Information shared here is for educational purposes only. Individuals and business owners should evaluate their own business strategies and identify any potential risks. The information shared here is not a guarantee of success. Your results may vary. Copyright © 2026.
...more
22min
August 24, 2026 4 Reasons AI Keeps Failing in Regulated Sectors
If you're a $3M+ business in a regulated industry, we'll find the #1 constraint bottlenecking your business and the best solution to solve it - whether it's AI or not - for free: https://alreadybuilt.ai/strategy?r=y23p&utm_source=podcast&utm_medium=description&utm_campaign=Y23-four-reasons-ai-fails-to-grow&utm_content=desc_top
You spent real money on AI. The system is live, it works the way it was promised, and your revenue and margins have barely moved. That is not a technology problem, and a second round of spending against the same four decisions buys you the same result, because almost every one of those decisions was settled before anybody wrote a line of code. In this episode Otavio ranks the four reasons the AI you paid for failed to grow the business by how much damage they do: buying on a demo, which tells you almost nothing about the work you would actually put in front of that system; mandating usage and trusting a dashboard, which can only manufacture logins; nobody in the room being paid to say no; and the one that does the most damage, aiming the AI at the loudest pain instead of the actual constraint. Along the way: GPT-4 scoring 298 out of 400 on the bar exam while attorneys using AI get sanctioned for citing cases that do not exist, and an AM100 law firm where usage went from 32 percent to 72 percent and work that needed redoing fell from 83 percent to 24 percent, after his team replaced a breached cloud AI vendor with an on-prem build that backs every answer with the firm's own work. He also breaks down how his own business actually runs: why they tell clients when the answer is not AI, and why a no still pays.
In this episode:
00:00 You spent the money and nothing moved
00:42 Reason one: you bought on the demo
02:56 What happens when AI is graded on the whole job
07:11 Reason two: you mandated usage
08:09 Inside an AM100 law firm's M&A group
10:46 Measure the rework rate, not the logins
14:12 Reason three: nobody was paid to say no
16:45 How we actually run this business
24:23 Reason four: you aimed at the loudest pain
26:47 Tripling leads beats a better close rate
30:45 The two questions to ask before you fund anything
...more
32min
August 21, 2026 Why Hiring AI Talent Is the Riskiest Move Right Now
If you're a $3M+ business in a regulated industry, we'll find the #1 constraint bottlenecking your business and the best solution to solve it - whether it's AI or not - for free: https://alreadybuilt.ai/strategy?r=y27p&utm_source=podcast&utm_medium=description&utm_campaign=Y27-scope-the-problem-not-the-title&utm_content=desc_top
The budget is approved and you're about to open a role. But "AI engineer" describes two completely different jobs, and one of them costs about four times the other. This episode is the one sentence to write down before any role goes up — the sentence that decides which of the two you're buying, and whether you need to hire at all.
Otavio walks through why the best recruiters in the world can't rescue a role nobody scoped, why the recruiting funnel is borrowed from a sales pipeline that assumes demand you don't have, and two businesses that asked for more headcount when headcount was never the constraint.
In this episode:
0:00 Two jobs, one job title, four times the price
0:50 Who this isn't for — and the one sentence everyone else should write
1:24 The reasonable decision that goes wrong: a title with no problem behind it
1:58 A market you can't read from the outside, and "remainder hiring"
5:05 The law firm: four systems, two days a week, and two very different hires
6:28 What the gap actually costs — base salary, and the under-1% problem
9:24 Writing the sentence: the problem, the cost, and the answer it hands you
10:41 Systems thinking, one layer deeper — on the role itself
12:35 The private equity firm: seven analysts to four, and a $22M deal
14:22 If you don't hire, who maintains it? The options nobody sees
15:38 The recruiters themselves are now the bottleneck
16:12 The third option — and how it goes wrong if you name a solution
17:58 Write the sentence before you write the job post
More Value:
Learn the tactics my team and I are using as we scale to delivering $1B+ in client value: https://alreadybuilt.ai/built-brief?r=brief&utm_source=web&utm_medium=description_cta&utm_campaign=brief&utm_content=desc_footer
Watch my latest YouTube videos: https://www.youtube.com/@otavio_pailo
DISCLOSURE: Information shared here is for educational purposes only. Individuals and business owners should evaluate their own business strategies and identify any potential risks. The information shared here is not a guarantee of success. Your results may vary. Copyright © 2026.
...more
20min
August 19, 2026 Your AI Build Saved $0 (Here's Why)
If you're a $3M+ business in a regulated industry, we'll find the #1 constraint bottlenecking your business and the best solution to solve it - whether it's AI or not - for free: https://alreadybuilt.ai/strategy?r=y25p&utm_source=podcast&utm_medium=description&utm_campaign=Y25-hours-are-not-dollars&utm_content=desc_top
Somebody handed you a number for what your last AI build saved the business, and you have been repeating it ever since. Most people go and check whether that number is true, but true is not the test. A number can be completely true on the outside and still be built on the wrong metric, because most AI results get measured in hours saved, and saved hours are not saved dollars. That matters because the number does not stay on a slide. You say it out loud to your board, to a client, to somebody buying your business, and a figure you cannot back up never falls alone. It takes every other number you have given them with it. In this episode Otavio gives the two tests to run before you repeat that figure again: the law firm spending 141,000 dollars a month, about 1.7 million a year, on cloud AI that his team eliminated with an on-prem build, and the private equity firm whose analysts got through four times the work, where they refused to attach a dollar figure until three roles were actually gone.
In this episode:
00:00 The number you have been repeating
00:41 What this episode covers
00:56 A figure with no evidence never falls alone
01:47 Test 1: did an invoice or a role actually go away
03:00 The law firm paying 141,000 dollars a month
03:57 Why those hours were never converted to dollars
04:14 Test 2: did the hours leave the cost base
05:12 The private equity firm that waited
06:18 The honest metric is hours
06:34 What to say next time someone asks
...more
7min
August 17, 2026 Why AI won't grow your business
If you're a $3M+ business in a regulated industry, we'll find the #1 constraint bottlenecking your business and the best solution to solve it - whether it's AI or not - for free: https://alreadybuilt.ai/strategy?r=y22p&utm_source=podcast&utm_medium=description&utm_campaign=Y22-ai-wont-grow-your-business&utm_content=desc_top
Your agents are running, your team is trained, and your AI bill is bigger every month. A year later your revenue is where it was, your headcount is where it was, and your margin is worse, because the only line that moved is the bill. That is not a broken tool and it is not you being bad at AI. AI multiplies whatever you point it at, which means owning it was never the advantage, and nobody checked what yours was pointed at. In this episode Otavio makes the case with the work: the build two other attempts could not finish, a 240,000 dollar automation that left a company with exactly as many customers as it started with, the 22 million dollar deal a system surfaced that no banker ever listed, and the law firm paying 141,000 dollars a month for a tool its own attorneys refused to use. Then the part that cannot be handed to AI at all, and the one question to answer before spending another dollar on it.
In this episode:
00:00 Your AI bill went up and nothing else moved
01:36 What this episode covers
02:01 The build two other attempts could not finish
05:10 The pilot that never got killed
06:27 AI did not eliminate capital, reach, or talent
07:20 The 240,000 dollar automation that changed nothing
09:51 Bottlenecked deal flow, and the 22 million inside it
13:47 I sent my best offer to 10,000 attorneys
17:50 The one part you cannot hand off
26:38 141,000 dollars a month for a tool nobody used
33:41 Somebody has to carry the consequence
40:50 Before you spend another dollar on AI
...more
43min
August 14, 2026 3 Tactics to get your time and attention back
If you're a $3M+ business in a regulated industry, we'll find the #1 constraint bottlenecking your business and the best solution to solve it - whether it's AI or not - for free: https://alreadybuilt.ai/strategy?r=y21p&utm_source=podcast&utm_medium=description&utm_campaign=Y21-focus-by-default&utm_content=desc_top
You already picked the one thing that will move your business this year. It still gets whatever is left at the end of the week — and not because you lack discipline. Nothing in the business was set up to protect it.
This episode is three changes you make once, so the work you would have had to turn down never reaches you in the first place. Each one removes a whole category: an opportunity, an interruption, or a decision. I run all three on my own company, and I walk through where each change has to live so it holds without you enforcing it, and how to tell when it's actually in place.
In this episode:
0:00 Why the one thing you already picked still gets your leftovers
1:32 Change 1: put the floor where first contact happens
2:38 Our own floor — why we don't take work under $3M a year
3:26 The 40-lawyer firm whose Tuesday had four intake calls
7:14 Change 2: make your best hours unbookable
9:42 Maker time vs manager time, and how I actually run my week
12:15 What splitting a maker's attention really costs
13:41 The four calendar settings you change once
15:43 Change 3: hand over the decision, not just the task
More Value:
Learn the tactics my team and I are using as we scale to delivering $1B+ in client value: https://alreadybuilt.ai/built-brief?r=brief&utm_source=web&utm_medium=description_cta&utm_campaign=brief&utm_content=desc_footer
Watch my latest YouTube videos: https://www.youtube.com/@otavio_pailo
DISCLOSURE: Information shared here is for educational purposes only. Individuals and business owners should evaluate their own business strategies and identify any potential risks. The information shared here is not a guarantee of success. Your results may vary. Copyright © 2026.
...more
19min
August 12, 2026 You're setting business goals wrong
If you're a $3M+ business in a regulated industry, we'll find the #1 constraint bottlenecking your business and the best solution to solve it - whether it's AI or not - for free: https://alreadybuilt.ai/strategy?r=y20p&utm_source=podcast&utm_medium=description&utm_campaign=Y20-qualify-the-goal&utm_content=desc_top
If you can say the number you want your business to hit this year, but you cannot say in one sentence why that number is important to you, then you are carrying a goal you inherited instead of one you chose. Your budget, your hires, and the thing you end up building all inherit it too. The problem is that an untested goal never fails loudly. It quietly aims a year of work at the wrong target, and everything downstream of it looks like progress the whole time. In this episode, Otavio walks through the four steps we run at the start of every engagement, before we solve anything, so that by the end you have one sentence you can hold against any spending decision. Why the obstacle you are most certain about is the one least likely to ever get tested. Why the gap you measured from where you stand today charges your goal for growth that was already coming. What 187,000 dollars a month of preventable waste looks like inside companies that had passed every budget review. And the goal that hit its number exactly as designed while costing him his sleep.
In this episode:
00:00 A goal you inherited instead of one you chose
01:24 Step one, get four things onto one page
05:24 Step two, interrogate the goal until the reason holds
07:30 The goal that hit its number and cost me my sleep
12:58 Step three, subtract where you are already headed
17:00 What 187,000 dollars a month of invisible waste looks like
22:18 Step four, pick one goal so the no becomes automatic
25:13 One real conversation, start to finish
29:13 Your actual job as the owner
More Value:
Learn the tactics my team and I are using as we scale to delivering $1B+ in client value: https://alreadybuilt.ai/built-brief?r=brief&utm_source=web&utm_medium=description_cta&utm_campaign=brief&utm_content=desc_footer
Watch my latest YouTube videos: https://www.youtube.com/@otavio_pailo
DISCLOSURE: Information shared here is for educational purposes only. Individuals and business owners should evaluate their own business strategies and identify any potential risks. The information shared here is not a guarantee of success. Your results may vary. Copyright © 2026.
...more
31min
August 10, 2026 How We 4x'd a Client's Profit With AI: $1.1M to $4.6M in One Quarter
If you're a $3M+ business in a regulated industry, we'll find the #1 constraint bottlenecking your business and the best solution to solve it - whether it's AI or not - for free: https://alreadybuilt.ai/strategy?r=y19p&utm_source=podcast&utm_medium=description&utm_campaign=Y19-market-data-4x-profit&utm_content=desc_top
A client selling market data to hedge funds and private equity firms came to us with the AI project already scoped and written down. We never built it. We could have, and it would have worked on a technical level, but it would not have changed anything, because the real bottleneck sat somewhere nobody had thought to look. In three months their profit went from about 1.1 million to about 4.6 million. In this episode, Otavio walks through the build we ran instead, stage by stage, in the order we run it for every engagement. What one week of measuring the work actually found, why their fifteen year archive was both the product and the bottleneck, how six months of their own answers became the test set for the AI, why the trust had to be earned from their clients rather than their staff, and what changed once the business owned the system outright. The whole thing turns on one decision you can make yourself before you fund anything.
In this episode:
00:00 The 4x that came from the build we never made
01:05 Stage one, find the bottleneck actually capping the business
04:59 Stage two, rebuild the data everything else stands on
08:42 Stage three, prove it against work they had already delivered
11:53 Stage four, earn the trust or the hours come straight back
14:49 Stage five, hand over ownership so it can keep growing
16:39 What taking out the real constraint actually bought them
18:08 The one week that finds your real constraint
More Value:
Learn the tactics my team and I are using as we scale to delivering $1B+ in client value: https://alreadybuilt.ai/built-brief?r=brief&utm_source=web&utm_medium=description_cta&utm_campaign=brief&utm_content=desc_footer
Watch my latest YouTube videos: https://www.youtube.com/@otavio_pailo
DISCLOSURE: Information shared here is for educational purposes only. Individuals and business owners should evaluate their own business strategies and identify any potential risks. The information shared here is not a guarantee of success. Your results may vary. Copyright © 2026.
...more
20min
August 03, 2026 Engineer the First Win: How to Roll Out a Tool So People Actually Keep Using It
If you're a $3M+ business in a regulated industry, we'll find the #1 constraint bottlenecking your business and the best solution to solve it - whether it's AI or not - for free: https://alreadybuilt.ai/strategy
You bought the tool, you talked it up at the launch, and the first time someone pointed it at something real and hard, it stumbled. That one experience is usually what kills the rollout, not the tool. In this episode, Otavio breaks down why the first run decides adoption and walks through the four moves that make it land. Pick the one task the tool is almost certain to nail, deliberately promise less than it can do, give people a place to practice where a mistake costs nothing, and say plainly what it cannot do. Set the bar low, clear it clean, and let the tool earn its own reputation.
In this episode:
00:00 Why most rollouts die on the first try
02:19 Most doctors use AI now, and most are still uneasy
03:43 Step one, do not oversell it
05:30 Step two, engineer a guaranteed first win
07:28 Step three, make the first try easy and safe
09:33 Step four, be honest about what it cannot do
11:50 What a botched first impression actually costs
13:47 Do this before your next rollout
More Value:
Learn the tactics my team and I are using as we scale to delivering $1B+ in client value: https://alreadybuilt.ai/built-brief
Watch my latest YouTube videos: https://www.youtube.com/@otavio_pailo
DISCLOSURE: Information shared here is for educational purposes only. Individuals and business owners should evaluate their own business strategies and identify any potential risks. The information shared here is not a guarantee of success. Your results may vary. Copyright © 2026.
...more
15min

FAQs about BUILT with Otavio Pailo:

How many episodes does BUILT with Otavio Pailo have?

The podcast currently has 21 episodes available.