AI SDR Agent
Finds companies matching your ideal customer profile, researches each one, and writes a genuinely specific first message — not a mail-merge.
Result: A full pipeline of researched prospects without hiring three SDRs.
03 · AI Sales Agents
The average salesperson spends less than a third of their time actually selling. The rest goes on research, data entry, follow-up reminders and writing the same email again. Every one of those is an agent-shaped problem.
The problem
Deals do not usually die at the pitch. They die at follow-up number four, which nobody sent because everyone was busy.
What we build
Each one is a page of its own — pick the closest match, or tell us your problem and we'll point you at the right one.
Finds companies matching your ideal customer profile, researches each one, and writes a genuinely specific first message — not a mail-merge.
Result: A full pipeline of researched prospects without hiring three SDRs.
Reads the prospect's site, recent news and role, then writes an opener that proves you looked. Runs at hundreds per day.
Result: Personalisation at volume, which is the only thing that still works.
Manages connection requests, follow-ups and reply triage on LinkedIn within safe daily limits.
Result: Consistent presence without living inside LinkedIn.
Turns call notes into a formatted, priced, on-brand proposal in minutes instead of the two days it currently takes.
Result: Quotes go out same-day, while the prospect is still warm.
Listens to calls and emails, then writes the notes, updates the stage and sets the next action — so the CRM is accurate without anyone maintaining it.
Result: A CRM you can actually trust for forecasting.
Scores every inbound lead on fit and intent, then routes it to the right person instantly based on territory, product or value.
Result: Your best leads reach your best closer within a minute.
Chases every unanswered thread on a sensible schedule, across email and WhatsApp, and stops the moment a human replies.
Result: The revenue already sitting in your pipeline actually closes.
Five minutes before every call, your rep gets a one-page brief: who they are, what was said last time, what to ask, what the risk is.
Result: Nobody walks into a call cold again.
What you get
How it's built
We pick tools per project rather than forcing every client onto the same stack. If something in your business already works, we build around it instead of replacing it.
In depth
Most Indian SMBs do not have a lead problem. They have a follow-up problem — enquiries arrive, get one call, and are never contacted again. AI sales agents exist to close that gap, not to replace the people who close deals.
Ask a business owner why sales are flat and you will usually be told they need more leads. Look at the CRM and the picture is different: a large share of last quarter's enquiries were contacted once, marked as not interested or not reachable, and left there.
Two things cause this. The first is speed — an enquiry that arrives at eight in the evening gets a call the next afternoon, by which time the buyer has spoken to two competitors. The second is persistence. A buyer who is genuinely three months from deciding needs eight or nine touches, and almost nobody in a small sales team makes touch number six.
Neither is a motivation problem. A person handling forty active enquiries physically cannot sustain that cadence while also doing the selling.
| Agent | The job it takes over | What your team still does |
|---|---|---|
| AI SDR agent | First contact, qualification, meeting booking | Runs the meeting, closes |
| Lead qualification agent | Scoring and routing every enquiry | Works the qualified ones |
| Follow-up agent | Touches 2 through 9, on schedule | Steps in when there is interest |
| Quotation agent | Drafting the quote from the conversation | Approves and negotiates |
| Proposal writer | First draft from your past proposals | Adds the judgement |
| Meeting notes agent | Notes, actions, CRM entry | Actually listens in the meeting |
| Cold email agent | Research and personalised outreach | Handles replies |
| WhatsApp sales agent | Conversational selling and catalogue | Takes over on intent |
A sales agent that will not let go of a conversation loses deals. The moment a buyer shows genuine intent — asks about price seriously, mentions a deadline, raises a specific objection — a human should be in that conversation within minutes.
We build the handover triggers explicitly rather than leaving them to the model: named intent signals, any request for a person, any frustration, any question outside the agent's scope, and a hard limit on how many turns it will spend on a single point.
The agent's job is to fill the pipeline, book the meeting and keep the dormant enquiries warm. It is not to close. A vendor pitching you an AI that closes deals is selling you something that will annoy your best prospects.
Two structural reasons, both underappreciated.
Most agents in this category deploy in four to ten weeks and start between ₹1,80,000 and ₹4,00,000. Running costs are usage-based: WhatsApp is billed by Meta per 24-hour conversation window, voice runs ₹4–₹12 a minute, and model usage for a busy pipeline is typically ₹3,000–₹10,000 a month.
The return should be measurable within a quarter, and we set the measurement up before go-live: speed to first response, proportion of enquiries receiving four or more touches, meetings booked per hundred enquiries, and conversion rate on the enquiries the agent handled against a held-back control group.
If those numbers do not move, the honest conclusion is that follow-up was not your constraint, and we would rather establish that in month three than have you renew on faith.
If your enquiry volume is under about thirty a month, a person with a diary and a reminder does this job adequately and the automation will not pay for itself.
If your sales cycle is a single conversation at a counter, there is no follow-up sequence to automate.
And if your problem is genuinely that not enough people know you exist, an agent will follow up impeccably on a pipeline that is too small. That is a marketing problem, and we will say so.
FAQ
Not if it is built properly. We set up domain warming, sending limits, SPF/DKIM/DMARC and reply monitoring. Volume without deliverability engineering is how companies destroy their domain.
Your choice. Most clients start with approve-before-send and move to fully automatic for the top of the funnel once they trust the output.
Zoho, HubSpot, Salesforce, Pipedrive, Freshsales and custom-built CRMs — including the Lacewing Real Estate CRM.
Other AI service lines
Next step
A 30-minute call. We'll tell you what we'd do, roughly what it costs, and whether it's worth doing at all.