Architect
revenue-obsessed
AI
automations
AI workflows forged under ROI pressure - tuned to activate data, accelerate decisions and surgically unlock profit
No commitments.
The Problem
Most AI automations sound impressive, until implemented
They look slick in demos. Ping dashboards and trigger notifications.
But don't fuel pipeline, shorten deal cycles or yield returns
You've integrated AI tools and still chase outcomes
You're buried in activity metrics, but don't know whats actually moving the needle ?
You've integrated AI tools and still chase outcomes
You're buried in activity metrics, but don't know whats actually moving the needle ?
You've integrated AI tools and still chase outcomes
You're buried in activity metrics, but don't know whats actually moving the needle ?
You have signal rich data - but still leave money on the table ?
You're hoarding data, from start to finish. The noise is deafening, but revenue numbers are not up ?
You have signal rich data - but still leave money on the table ?
You're hoarding data, from start to finish. The noise is deafening, but revenue numbers are not up ?
You have signal rich data - but still leave money on the table ?
You're hoarding data, from start to finish. The noise is deafening, but revenue numbers are not up ?
Your automations looked perfect. Until they didn't
It looked seamless on day one. But one spike or a missed trigger and they snapped.
Your automations looked perfect. Until they didn't
It looked seamless on day one. But one spike or a missed trigger and they snapped.
Your automations looked perfect. Until they didn't
It looked seamless on day one. But one spike or a missed trigger and they snapped.
Solution
AI infused automations, Engineered to deliver, not just integrate
Every system justifies it's place in performance, not optics Because your pipeline cant afford dead weight
Step 1
Deconstruct revenue mechanics, not just pipeline
Friction points, operational drag and leakage risks get mapped. The playbook isn't theory. Its built from living inside complex sales cycles
Step 1
Deconstruct revenue mechanics, not just pipeline
Friction points, operational drag and leakage risks get mapped. The playbook isn't theory. Its built from living inside complex sales cycles
Step 2
Identify systems that adapt to buyer speed
We are averse to tech bloat and vanity metrics. Only AI tools that make data speak and move the needle get our preference
Step 2
Identify systems that adapt to buyer speed
We are averse to tech bloat and vanity metrics. Only AI tools that make data speak and move the needle get our preference
Step 3
Deploy, battle test and scale what earns it keep
We move quick and measure relentlessly.If it compounds growth, we scale it. If it clogs the pipeline, it gets scrapped
Step 3
Deploy, battle test and scale what earns it keep
We move quick and measure relentlessly.If it compounds growth, we scale it. If it clogs the pipeline, it gets scrapped
How we work
Stacked with Purpose,
Perfectly aligned to deliver
Tech fluency with funnel expertise which means no automation ships without a job to do
Lynchpin Automations
Wielding the right foundational tools
From LLMs to logic layers, every live automation anchors a system - not decorate it
Lynchpin Automations
Wielding the right foundational tools
From LLMs to logic layers, every live automation anchors a system - not decorate it
Revenue Systems Thinking
Buying signals reverse engineered
Mapped to real buyer behaviour from lived experience across product, tech and sales
Revenue Systems Thinking
Buying signals reverse engineered
Mapped to real buyer behaviour from lived experience across product, tech and sales
Rollouts Without Drag
No bloated handoffs
No bloated handoffs, filler flows or "let's automate this just because"
Rollouts Without Drag
No bloated handoffs
No bloated handoffs, filler flows or "let's automate this just because"
Work
Some of our client work
Audience Engagement Flywheel
Automate both ends of your funnel—AI-curated newsletters and hyper-personalized prospect icebreakers—so your team can focus on strategy, not manual work. Boost engagement and outreach ROI in one seamless system.
Uses Apify to scrape Reddit, X, or any forum of your choice
Newsletter cadence is fully customizable
Integrates with Instantly, Smartlead, and others for personalized outreach
Audience Engagement Flywheel
Automate both ends of your funnel—AI-curated newsletters and hyper-personalized prospect icebreakers—so your team can focus on strategy, not manual work. Boost engagement and outreach ROI in one seamless system.
Uses Apify to scrape Reddit, X, or any forum of your choice
Newsletter cadence is fully customizable
Integrates with Instantly, Smartlead, and others for personalized outreach
Audience Engagement Flywheel
Automate both ends of your funnel—AI-curated newsletters and hyper-personalized prospect icebreakers—so your team can focus on strategy, not manual work. Boost engagement and outreach ROI in one seamless system.
Uses Apify to scrape Reddit, X, or any forum of your choice
Newsletter cadence is fully customizable
Integrates with Instantly, Smartlead, and others for personalized outreach
Self Serve HR Agent
AI-powered HR assistant—handles employee queries in seconds, from leave balances to payslips. It connects directly with HRMS, reducing HR team load while improving employee satisfaction.
RAG based system to answer queries related to company policies
Handles common HR queries: leave, payroll, IT declarations
Customizable workflows for different org needs
Self Serve HR Agent
AI-powered HR assistant—handles employee queries in seconds, from leave balances to payslips. It connects directly with HRMS, reducing HR team load while improving employee satisfaction.
RAG based system to answer queries related to company policies
Handles common HR queries: leave, payroll, IT declarations
Customizable workflows for different org needs
Self Serve HR Agent
AI-powered HR assistant—handles employee queries in seconds, from leave balances to payslips. It connects directly with HRMS, reducing HR team load while improving employee satisfaction.
RAG based system to answer queries related to company policies
Handles common HR queries: leave, payroll, IT declarations
Customizable workflows for different org needs
Idea Alchemy Engine
Turn raw audience feedback into high-impact video ideas—fast. This system scrapes thousands of YouTube comments, filters for substance, and uses GPT to extract and score the best concepts. It then auto-generates hooks, outlines, and drafts—pushing them straight to your CMS.
Uses Apify to scrape Youtube comments (5+ words)
GPT-powered scoring + classification via Content Catalyst
Integrates with Typeform and your CMS
Idea Alchemy Engine
Turn raw audience feedback into high-impact video ideas—fast. This system scrapes thousands of YouTube comments, filters for substance, and uses GPT to extract and score the best concepts. It then auto-generates hooks, outlines, and drafts—pushing them straight to your CMS.
Uses Apify to scrape Youtube comments (5+ words)
GPT-powered scoring + classification via Content Catalyst
Integrates with Typeform and your CMS
Idea Alchemy Engine
Turn raw audience feedback into high-impact video ideas—fast. This system scrapes thousands of YouTube comments, filters for substance, and uses GPT to extract and score the best concepts. It then auto-generates hooks, outlines, and drafts—pushing them straight to your CMS.
Uses Apify to scrape Youtube comments (5+ words)
GPT-powered scoring + classification via Content Catalyst
Integrates with Typeform and your CMS
FAQ's
I have a few questions about your company
How long have you guys been around for? I dont see much info online
23ML has been around for 5 years. A lot of our best work is tucked behind NDAs — a convenient excuse, sure, but also the truth. The few logos we are allowed to share? You probably saw them the moment you landed on this page.
Are you good at what you do ?
Who are you guys ?
Do I trust you ? Do you have refunds ?
How long have you guys been around for? I dont see much info online
23ML has been around for 5 years. A lot of our best work is tucked behind NDAs — a convenient excuse, sure, but also the truth. The few logos we are allowed to share? You probably saw them the moment you landed on this page.
Are you good at what you do ?
Who are you guys ?
Do I trust you ? Do you have refunds ?
Why 23 ML
Let’s cut through the noise.You’ve heard about AI. You’ve read the threads.
You’ve seen the CEOs and C-Suite execs announcing org-wide AI rollouts like they just discovered fire.If you’re reading this, you’re either one of them or you’re the one expected to make it actually work.Odds are, you fall into one of three buckets:
1. You’ve been burned : promised magic, got a broken Zap and a Slack ping.
2. You’ve got bloat : automations that looked great in theory, dead weight in reality.
3. Or this is your first AI rollout : and you’d rather not be someone’s “what went wrong” story.
Wherever you sit, one thing’s true: You don’t need more hype.
You need systems that work that are fast, lean, and without drama.
We’ve built product. We’ve closed deals. We’ve debugged broken flows at 2AM because a pipeline depended on it.We don’t build for show. We build for performance.
The point of AI is simple:
Let machines do what humans are bad at without errors, drag, or excuses.
But most deployments? Overbuilt. Maintenance-heavy. All talk, no lift.
At 23 ML, we reverse-engineer from revenue , not buzzwords.
Every automation we ship is a revenue lever.
If it doesn’t move numbers, it doesn’t go live.
Have a chat with us and we’ll show you where the leverage lives in your funnel — and what’s worth automating.
No fluff. No dashboards-for-show.
-23 ML
Why 23 ML
Let’s cut through the noise.You’ve heard about AI. You’ve read the threads.
You’ve seen the CEOs and C-Suite execs announcing org-wide AI rollouts like they just discovered fire.If you’re reading this, you’re either one of them or you’re the one expected to make it actually work.Odds are, you fall into one of three buckets:
1. You’ve been burned : promised magic, got a broken Zap and a Slack ping.
2. You’ve got bloat : automations that looked great in theory, dead weight in reality.
3. Or this is your first AI rollout : and you’d rather not be someone’s “what went wrong” story.
Wherever you sit, one thing’s true: You don’t need more hype.
You need systems that work that are fast, lean, and without drama.
We’ve built product. We’ve closed deals. We’ve debugged broken flows at 2AM because a pipeline depended on it.We don’t build for show. We build for performance.
The point of AI is simple:
Let machines do what humans are bad at without errors, drag, or excuses.
But most deployments? Overbuilt. Maintenance-heavy. All talk, no lift.
At 23ML, we reverse-engineer from revenue , not buzzwords.
Every automation we ship is a revenue lever.
If it doesn’t move numbers, it doesn’t go live.
Have a chat with us and we’ll show you where the leverage lives in your funnel — and what’s worth automating.
No fluff. No dashboards-for-show.
-23ML
