@olnlabs

AI-first Product & GTM studio. Software, AI, and go-to-market systems that help you sell more, run better, and scale faster. Live in weeks, not quarters.

Bengaluru
Joined October 2025
When growth slows, where do you look first? It’s tempting to launch another campaign, redesign the website or automate a process. Before committing, find where progress breaks down. Five places to investigate: Too few relevant enquiries Are the right buyers finding you—and understanding the problem you solve? Enquiries rarely turn into customers What stops people from committing? Look at objections, pricing, urgency and the buying process. People buy but struggle to get started How much work must they do before receiving something useful? Customers get started but don’t return Does the value last? Does the need recur? Does the experience meet expectations? Demand exists but delivery is slow or expensive Where do queues, handoffs, manual work and avoidable errors build up? Several problems may exist at once. Pick one worth addressing now, gather evidence and define what improvement would look like. Use the guide below to start that conversation with your team. Full blog linked in the reply.
🤖 Made with AI
1
1
1
17
AI can qualify an inbound lead in seconds. But it should never own the lead. As AI takes on more of the first sales conversation, one distinction becomes important: Qualification is execution. Ownership is accountability. A good inbound system should assign a responsible human the moment a lead enters the business, then let AI handle the repetitive qualification work. That way: The lead always has a clear owner AI can qualify without creating an accountability gap A human can step in naturally when judgment is needed If the AI pauses or the conversation stops midway, the lead still belongs to someone Routing a lead and owning a lead remain two separate things The goal of AI-first sales should not be to keep humans away for as long as possible. It should be to remove repetitive work while keeping human responsibility clear. The AI can own the conversation. A human should own the customer.
🤖 Made with AI
1
6
A software project can be complete while the business problem remains fully employed. Software delivery should not end with working features. It should stay connected to a business number. Our latest article: blog.olnlabs.com/outcome-as-…
1
62
Most companies are being asked to make the wrong choice about AI. Keep a human involved in every action. Or give the AI broad autonomy and hope the guardrails hold. But autonomy is not a switch. It is a ladder. An AI can: 1. Observe 2. Recommend 3. Act within limits 4. Run a bounded workflow Each step gives the system more authority. That authority should increase only when the consequences are understood, the limits are clear, and the action can be monitored or reversed. Letting AI update a follow-up date is not the same as letting it offer a discount, contact a customer, or change a contractual commitment. These actions should not receive the same permissions. The goal is not maximum autonomy. The goal is maximum useful autonomy inside clear boundaries. We wrote a detailed guide on how teams can decide what AI should observe, recommend, execute, and own.
🤖 Made with AI
1
6
Traditional CRMs are often good at storing structured information. The problem is the operating assumption behind the update. The rep is expected to finish the customer conversation, return to the correct record, translate natural speech into formal CRM language, type a useful note, select the right stage, set the right follow-up date, and perhaps fill several mandatory fields. Later. After the next call. Or after the meeting. Or after reaching the hotel. Or before the manager’s review. This design separates selling from capturing. The customer conversation happens when the information is rich. The CRM update happens when the rep finally has administrative time. Those are rarely the same moment.
1
1
9
Open your CRM and filter for overdue follow-ups. Zero results. Every open lead has a next date. The dashboard is green. The sales process appears disciplined. This is the moment you should worry. Because a future follow-up date proves only one thing: the CRM contains a future follow-up date. It does not prove that the rep contacted the lead. It does not prove that the customer replied. It does not prove that anyone learned something new. It does not even prove that the date was chosen for a commercial reason. Sometimes the date exists because yesterday’s overdue task was automatically moved to tomorrow. Then tomorrow becomes next Monday. Next Monday becomes the end of the month. The lead remains perfectly followed up on paper while the customer relationship quietly disappears. The most dangerous stale lead is not always the one with a missing follow-up. It is the one with a perfectly valid future date.
8
Why we made smartbdm.ai voice-first We built SmartBDM around a simple observation: Salespeople speak for a living. Then most CRMs ask them to stop speaking and become data-entry operators. In SmartBDM, a rep can record a voice note from the web or mobile app immediately after a conversation. They can speak naturally in English, Hindi, or another major Indian language. The system transcribes and analyses the note, creates a summary, extracts customer context, and proposes—or, when enabled and safe, applies—the relevant stage and follow-up updates. The rep remains in control. AI actions are visible, subject to guardrails, and reversible. Voice notes and their AI transcription are free and unlimited on every SmartBDM plan. That matters because a capture method only works when people can use it without calculating cost, saving credits, or postponing the update. This is not about replacing the salesperson’s judgment. It is about preserving that judgment while it is still available. The wider organisation benefits too. Managers can review what was actually learned. Lead scores have better evidence. Discovery gaps become clearer. Follow-ups carry a reason, not only a date. And the AI is less likely to act on incomplete context
1
1
1
23
The most valuable thing a CRM holds isn't the contact list. It's the running history of every customer — every call, every message, every promise made, every reason a deal stalled or moved. That history is what lets a manager forecast, lets a new rep pick up an old account, and lets any AI feature give advice worth following. It only exists if the people having those conversations are actually in the system, putting them in. Here's the catch most teams miss. The people talking to customers aren't just your senior closers. They're junior reps chasing new enquiries, telecallers doing first calls, field staff on site visits, channel partners closing deals over WhatsApp, an ops person answering a delivery question. Every one of them learns something the CRM needs to know — a budget mentioned in passing, an objection raised on a call, a follow-up promised for Tuesday. Leave any of those people out of the system and the CRM goes blank exactly where the selling actually happened. This holds whether you run a 15-person team or a 1,500-person one. In fact the bigger the team, the more people you're tempted to leave out, and the bigger the gap gets. So the CRM you're trusting to run your pipeline isn't a record of what your company did. It's a record of what the people you paid for did — and those are two very different things
1
1
11
Most AI-agent evaluations concentrate on the conversation itself. Did it sound human? Did it understand the customer? Did it answer correctly? Did the person stay on the call? These are sensible questions. A voice agent that cannot understand the customer is not much of an agent. But they measure only the first half of the job. The real sales process continues after the automated conversation ends. Someone must decide whether the lead deserves human attention. Someone may need to call, demonstrate the product, answer a difficult commercial question, negotiate, reassure, or close. That is where expensive human judgment becomes useful. The expensive part of outbound is judgment, not dialing. The AI should not try to become the salesperson forever. It should recognise the point at which a salesperson becomes more valuable than another automated interaction. That point is the handoff. The conversation creates information. The handoff turns that information into action.
1
1
1
20
A Bengaluru sales floor: eight BDEs, ₹25,000 a month each. The best closer spends about 90 minutes of an 8-hour day actually talking to a customer. The rest is ringtones. Sixty to seventy dials a day off old lead lists. Most ring out. A good chunk hit "not interested" inside ten seconds. That's eight skilled people paid to mostly listen to a phone ring. Here's what that setup misses. The expensive thing a good BDE brings isn't the dialing — it's the judgment. Hearing the hesitation in someone's voice. Knowing when to push and when to back off. Turning a maybe into a meeting. None of that matters against a number that never picks up. Cold-outbound connect rates sit around 10 to 17%. A rep burns roughly eight dials to reach one live person, and spends the other seven on ringtones and voicemail. That's skilled-human pay for work that's mostly waiting. The dialing was never the job. It's the part everyone hates and everyone is bad at by call number 40. So hand it to something that doesn't mind. A machine makes the thousands of dials, weeds out the dead numbers and the instant no's, and hands the rep a short list of people who actually answered and actually qualified. The rep opens the day with four real conversations instead of dialing seventy numbers to find them. We built the AI Voice Caller inside SmartBDM to run exactly this play — dial your consented lists at scale, qualify in the customer's language, and hand each rep a ranked list of warm leads with the whole conversation attached. Your most expensive people should never be the ones listening to ringtones. Pull one rep's call log this week. Count the minutes in a real conversation against the minutes spent dialing. That gap is what you're paying for.
16
Your sales team isn't losing deals because of WhatsApp. They're losing them because of the Excel sheet sitting next to it. Here's the thing nobody wants to admit: WhatsApp is doing its job. It's where your customers actually talk to you. Instantly. In the channel they already live in. The conversation, the tone, the voice note where they said the budget moved — it's all there. That's the real record of the deal. Then someone has to turn that into a row in a spreadsheet. And that's where it dies. Because Excel was never built to be your memory. It can't remind anyone to follow up. A cell that says "call back Tuesday" just sits there. Tuesday comes. Nobody's nudged. The lead goes cold. It has no timeline. You see the current state of a row — never the sequence of what actually happened. Was this deal hot for three weeks, or did a rep flip it to "hot" yesterday to pad his numbers? You can't tell. It has no history. Anyone can change any cell at any time, and the change leaves no trace. A deal gets overwritten, downgraded, deleted — and there's no way to see who did it or what it said before. It's quietly wrong even when nobody's touching it. Decades of audits found ~88% of real-world spreadsheets contain at least one error. A forecast built on a sheet nobody trusts isn't a forecast. It's a wish with formatting. And the most expensive part? When a rep quits, the relationship walks out with them — because the chat lived on their phone and the spreadsheet only ever held "interested, budget moved." Not the 18 messages of context behind it. The new rep inherits a row and zero relationship. You didn't lose a person. You lost the memory of every deal they were carrying. The instinct is to blame the messaging app. Add more discipline. Make people update the sheet. But you can't out-discipline a missing feature. The channel is fine. The filing cabinet is broken. If you're running sales on WhatsApp + Excel right now — where do YOU see the deals leaking? Curious if it's the follow-ups or the rep-quitting one that hurts most.
21
A ₹60L deal died last week. The CRM said "lost on price." I pulled the timeline. The price was never the problem. Here's what actually happened, day by day. January 14 - The growth team at a B2B SaaS company runs a discount campaign. 5,000 contacts, 20% off annual plans, the usual new-year push. Three of those 5,000 contacts have acmecorpdotcom email addresses. Acme is already an open deal worth ₹60L. Nobody knows the discount went to them, because the tool that sent the campaign doesn't talk to the tool that holds the deal. Two systems, one customer, zero awareness. February 22 - The account executive gets on a call with Acme's VP of Engineering. Pitches the platform. Quotes list price — ₹60L, no discount. He has no idea his own company offered Acme 20% off six weeks earlier. The VP doesn't say anything. But he's done the math. The number he was shown in his inbox and the number the AE just quoted don't match. He goes quiet. The AE logs the call as "positive, needs follow-up." March 9- Someone on Acme's team starts a free trial to test the product before the contract. They hit a bug — a known one, already sitting in the backlog with a "won't fix this sprint" label. Support takes the ticket. The ticket never reaches the AE. The AE never calls Acme to say "I saw you ran into that, here's the workaround." From Acme's side, they reported a problem into a void. April 3 - The email comes in. Four lines. "Thanks for your time. We've decided to go in a different direction. Wishing you the best." The AE logs it: Closed · Lost. Reason: pricing. Here's the thing. It was never pricing. Acme talked to one company three times. They got a discount they were never told applied to them, a quote that contradicted it, and a bug report that disappeared. From the inside, that's three teams using three tools. From Acme's side, it's one vendor that couldn't remember a conversation it had two weeks ago. The competitor who won didn't have a better product. They had one that felt like it remembered who Acme was across every touchpoint. No seams. That's the actual gap. Not pricing. Not the product. Memory. Most companies have a growth tool, a sales tool, and a support tool that each hold a third of the customer and never compare notes. The customer feels every seam — and picks the vendor who doesn't have any. The next time a deal gets filed as "lost on price," pull the timeline. Count how many of your teams touched that customer, and how many of them knew what the others had said. we'd bet the real reason wasn't on the form.
1
1
1
42
Your best sales reps aren't slow. They've quietly become the integration your software was supposed to be. Here's the math no vendor will ever put in front of you. Take a 10-person sales team. Each rep loses roughly 40% of every working day moving data by hand — pulling a number out of the CRM into WhatsApp, pasting a WhatsApp reply into email, updating a sheet so the manager's dashboard isn't quietly lying. Across 250 working days, that's: → 1,000 person-days a year → The equivalent of 4 full-time people → ₹40L+ in cost that never lands on a single invoice Never a line item. Always on the P&L. And it isn't a people problem. It's structural: Your CRM tracks deals. It doesn't send WhatsApp. Your WhatsApp tool sends WhatsApp. It doesn't update the CRM. Your email tool sends email. It has no idea what the WhatsApp said. None of these tools talk to each other — so a human becomes the wiring between them. 5 tabs, copy, paste, switch, repeat, ~70 times a day. Quiet enough that it never shows up in a budget review. That's the real platform tax. And here's the trap: it scales with every head you add. So the instinct to hire your way out of flat output usually just buys more of the same problem. One question worth sitting with before the next "why is productivity flat?" meeting: How much of my team's day is spent being the integration? If you've watched this happen on your own team, we'd like to hear how you're thinking about it.
1
1
20
Marketing hit its KPI. Sales called the leads trash. Support is drowning. Ops is firefighting. Nobody's lying. Nobody's lazy. The problem isn't your team — it's that your company's information lives in 6 different tools. Here's how you actually lose revenue ↓ Shweta fills your form at 11:03 AM. Auto-email fires. WhatsApp pings her: "we'll call shortly." The rep is stuck on another escalation. The CRM has no clue that WhatsApp promise even exists. By 5 PM, she's bought from a competitor. Dashboard next week: "Not interested." A lie. And misalignment never announces itself. It sneaks in through the ordinary: • Two reps call the same customer • "Cost per lead dropped!" — so did quality • Support promises a fix Ops hasn't heard about • "Wait, that happened? Nobody told me" No dramatic failures. Just small cracks. Compounding. Every day. Here's the ironic part. When misalignment grows, people don't get lazy. They sprint harder. More calls. More campaigns. More SOPs. More standups. More review meetings. A football team where every player is talented — but no one knows the score. You don't fix this with more dashboards. Or more tools. Or more meetings. You fix it when every call, every message, every follow-up, every promise — lives in ONE place, on ONE timeline, visible to every team. That's when stress drops. Trust rises. Customers feel consistency. That's exactly why we built SmartBDM.
1
1
29
Why is your WhatsApp marketing suddenly dead? It’s not your copy. It’s not your offer. The rules changed — and most businesses are still stuck in 2023. A couple years ago you could upload contacts, blast a broadcast, and watch 80%+ open rates roll in. Replies flooding your inbox by evening. WhatsApp felt like printing money. That cheat code is gone. Meta quietly tightened policies throughout 2024–2025. Bulk broadcasting got dismantled. Delivery dropped. Flags increased. Costs per result climbed.If your campaigns feel throttled now, you’re not alone. The businesses still winning on WhatsApp in 2026 shifted completely — different setup, different messaging, different compliance flow. So want to know what changed recently, reply to this thread and we will DM you What’s been your experience lately with WhatsApp campaigns? Hit reply and tell me
1
21