We built the thing we always needed on the sales floor.
Fourteen years. That is how long I spent inside GTM machines of all shapes and sizes. I started knocking on doors, moved to call centres, worked my way up through SDR, AE, and CS roles, and eventually found myself managing a portfolio generating over $40 million in ARR with clients like Unilever and PwC. I have done every part of the revenue cycle. Prospecting on Apollo and LinkedIn, scraping lists, cold calling, running demos, closing, onboarding, and renewing. I know the full motion because I have lived every part of it.
And here is what I know: the work that makes a great sales person great is almost none of the work we actually spend our time on. In my last role, I watched my team spend more than 60% of their week moving data between systems. Updating the CRM. Pulling reports from Gong. Chasing follow-ups. We even had a Thursday slot dedicated entirely to tool updates, because Fridays I would spend manually pulling everything together to present to leadership. The worst part of the job. And the irony: we were selling a product that automated email follow-up. When I pushed to deploy it internally, the answer was no.
"I was selling a product that automated email follow-up. When I pushed to deploy it internally, the answer was no. That frustration built this company."
I have also been on the outbound side. Spending hours every week manually researching prospect companies across Apollo, Lusha, LinkedIn, and company websites just to build a list of people worth calling. Then researching those same people again before each demo to personalise the pitch. Spending more time preparing to sell than actually selling. And still walking into calls missing details, arriving unprepared because the research took too long.
The average sales rep spends 71% of their week on tasks that have nothing to do with selling. (Salesforce). That number tracks exactly with what I experienced. And it is not a discipline problem. It is a systems problem. The sales team is not the bottleneck. The manual processes around them are.
The rise of AI agents changed what was possible. Not chatbots. Not basic automation. Agents that hold context, make decisions, and take action across complex workflows. I knew what this meant for a sales team the moment I understood it. You could build a system that handles the Thursday admin, the Monday research, the post-call CRM updates, the follow-up sequences, the meeting briefs. All of it. Permanently. So that the human could do the one thing AI cannot: build a relationship, read the room, ask the right question, and close the deal.
That is what AI Automation Labs builds.
Built by veterans who got tired of watching revenue bleed into spreadsheets.
14 years across the full GTM stack. From cold calls and door-to-door sales to closing enterprise accounts with Unilever and PwC and managing $40M+ ARR portfolios. Ali has held every revenue role and felt every pain point from the inside. He brings the customer obsession, the strategic lens, and the GTM experience. He drives every client conversation at AI Automation Labs and every system we build is grounded in what he has lived.
Pure builder. Amit brings deep technical expertise in AI engineering, agentic systems, and workflow automation. He has built and deployed AI systems across GTM, CS, and operations for multiple products. Where Ali identifies the problem and designs the solution, Amit turns that design into something that runs in production. He is the reason every system we ship actually works.
We did not plan this. We solved our own problem and realised others had it too.
Before this, we were both employees. Good ones. But we were both the kind of people who cannot stay still inside someone else's system for long. Ali had started side ventures at almost every company he had worked at. Within a month or two of starting a new role, the notebook would come out and the planning would begin. Amit was the same. We both had the founder instinct, the allergy to bureaucracy, and the belief that there was always a better way to build things.
We met at a Gen AI cohort called 100X Engineers, where we were both trying to understand how large language models and AI agents were actually being applied in businesses. Not the hype. The real applications. We ended up on the same project team, building an AI-powered event management platform together. Ali ran the customer conversations. Amit built the system. The dynamic was obvious from week one.
"Between projects, Ali would surface new problems from the founders he was talking to, bring them back, and Amit would build solutions. One project turned into two. Two into three. By the third one, we looked at what we had built and the pattern was clear: we were already an agency. We just had not named it yet."
AI Automation Labs started the day we stopped treating these builds as side projects. Ali was the sales and GTM brain. Amit was the technical engine. The problems were real, the demand was there, and we had the exact combination of skills the market needed. That same dynamic still runs every project today.
AI should do the work.
Humans should do the selling.
The biggest mistake companies make with AI is using it to replace the human. The right move is using it to free the human. A sales person's value is in the conversation, the relationship, the instinct. Not the spreadsheet.
Agents find. Humans close.
The agent handles research, meeting prep, follow-up sequences, CRM updates, and lead routing. The human shows up for the conversation that actually matters: fully briefed, with nothing left to do but sell.
Signal beats volume.
Sending 500 generic emails is not prospecting. It is noise. We build systems that act only on real signals: funding announcements, hiring surges, intent data, leadership changes. Every outreach feels personal because it is grounded in something real.
Every repetitive task has a home. It is not a human.
Following up after a meeting, updating the CRM, sending a proposal, booking a calendar slot, pulling a weekly report: none of this should require a person. We build the agents that handle it permanently.
Own your system. Forever.
Every agent we build runs on your infrastructure. The code is yours. The documentation is yours. No monthly licensing fees to us. No vendor lock-in. We build it, hand it over live, and you own it.
We connect to the tools your team already uses.
Nothing gets ripped out and replaced.
The GTM tech stack has grown to over 15,000 tools. Your team already uses a dozen of them. Our agents work inside your existing stack.
Proof over promises.
Every case study below is a real deployment. Every number is from a live system.
How a Sales Team Eliminated 3 Hours of Daily Prep with One AI System
Auto-generated meeting briefs, call intelligence extraction, and weekly GTM reports. 3 hours of weekly prep per rep eliminated permanently.
Read the story →How a GTM Team Turned 20 Newsletters Into One Intelligence Brief
AI agent ingests 20+ sources, extracts signals, maps them to CRM accounts, and delivers one structured brief every Monday morning.
Read the story →How One Company Boosted Lead Conversions by 42% Without Hiring a Single SDR
11 automated GTM funnels. 60-second lead response across 6 channels. Full lifecycle automation from first contact to reactivation.
Read the story →Quick answers.
Your team is one Discovery Sprint away from its first live AI agent.
If you are a GTM leader who is tired of watching your team spend their best hours on tasks that should not require a human, the Discovery Sprint was built for you. One week. One clear blueprint. No obligation to continue if it does not feel right.
Not ready yet? See what we have already built before you decide.