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AI Automation
AI Lead Generation
AI-assisted prospecting and outreach that fills the top of the funnel.
Overview
What we do & why it matters
AI lead generation fills the top of your funnel with qualified prospects — combining intent data, enrichment and AI-assisted outreach — then hands them to nurture and your CRM automatically.
What’s included
- ICP & intent-signal targeting
- Data enrichment & list building
- AI-assisted personalized outreach
- Qualification & routing
- CRM integration
- Performance reporting
Part of our AI Automation engagement · from transparent pricing.
Honest framing
AI improves qualification more than it improves volume.
Language models are good at reading, sorting and drafting. They do not create demand. The dependable gains are in handling the demand you already have: faster response, better qualification, less time lost on records that were never going to buy.
Enrichment and triage
Public information can be gathered and summarised before a rep opens the record, so the first call starts informed.
Qualification from conversation
Transcripts and email threads contain the answers reps forget to log. Extracting them is a reliable, checkable use of a model.
Drafts, not sends
First-draft replies and follow-ups reviewed by a human are safe. Fully automated outbound is where brand damage happens.
Routing by fit
Matching an enquiry to the right owner and the right next step compounds quietly across every deal.
We would rather automate the twenty minutes before a call than promise a machine that books the call. The first is measurable; the second usually is not.
Implementation
What gets built.
The method
What we automate, and what stays human
Automated lead generation has a bad name because most of it is volume spam with a personalisation token. The parts worth automating are the research and preparation; the parts that must stay human are the ones where being wrong is visible to the prospect.
Automate: list construction
Finding companies matching real fit criteria, from signals rather than from a purchased list that eight competitors also bought.
Automate: enrichment
Firmographics, tech stack, hiring signals, funding. The research a good salesperson would do if they had the hours.
Automate: trigger detection
The events that make now the right moment — a role being hired for, a product launch, a regulatory change in their sector.
Automate: preparation
A brief per account with the relevant context assembled, so the person writing the message starts from understanding rather than a blank page.
Human: the message
What gets sent, by a person who read the brief. This is the step where automation at volume destroys the thing it is trying to build.
Human: the judgement to skip
Deciding this account is not a fit, or now is not the moment. Automated systems do not skip, which is why they annoy people.
The output is a smaller number of well-prepared approaches rather than a larger number of poor ones. That is a deliberate trade and it is the whole method.
Fit criteria
Defining who is actually worth contacting
Most outbound underperforms because the list is wrong, not because the message is. Tightening fit criteria is unglamorous, reduces volume, and improves results more than any amount of copy iteration.
From closed-won, not from aspiration
What your best customers actually have in common, derived from CRM data rather than from the ideal customer profile slide.
Negative criteria too
Who reliably wastes your time — too small, wrong stack, procurement that takes a year. Excluded deliberately rather than discovered painfully.
Timing signals
Fit tells you who; a trigger tells you when. Contacting a perfect-fit account at the wrong moment produces a polite no you cannot revisit for a year.
Buying committee mapped
Who is affected, who decides, who blocks. Contacting one person at a company where three must agree is a slow way to lose.
Existing relationships checked
Current customers, open deals, former conversations, anyone your team already knows. The most common and most embarrassing outbound failure.
Size the list honestly
If strict criteria leave four hundred accounts, that is your market and the approach must suit it. Loosening criteria to fill a quota defeats the point.
The work
What an engagement actually contains
Built around preparation quality rather than send volume.
If your sales team does not have capacity to write and send the messages, this produces briefs nobody uses. We check that before building the pipeline.
Measurement
Judging outbound without fooling yourself
Outbound reporting is unusually easy to flatter. Volume metrics always look like activity, and reply rates can be inflated by counting the wrong replies. These are the numbers that actually tell you whether it is working.
Positive reply rate
Replies expressing genuine interest, counted separately from polite declines and automatic responses. The headline number worth tracking.
Meetings held, not booked
Booked meetings include the ones nobody attends. Held meetings is the number that correlates with pipeline.
Opportunity conversion by segment
Which fit criteria actually produce deals, fed back into the targeting rather than reported and forgotten.
Cost per opportunity
Including the preparation and the sales hours, compared honestly against your other channels rather than against a vendor's benchmark.
Account burn rate
How much of your addressable market you have contacted. In a small market this is the constraint that matters most and it is almost never tracked.
Complaint and bounce rates
The early warning that targeting or messaging has drifted. Watched continuously, because reputation damage is slow to repair.
If the honest numbers say this channel is worse than your alternatives, the recommendation will be to move the budget, and we would rather reach that conclusion in a quarter than in a year.
Honest limits
What this will not do
Outbound is a legitimate channel with real constraints, and it is sold with claims that ignore all of them.
Work without a real proposition
Cold contact requires a reason the recipient should care. Preparation cannot manufacture relevance that does not exist.
Scale infinitely
Quality preparation has a cost per account. A system producing ten thousand briefs a month is producing bad briefs.
Replace brand familiarity
Outbound into a market that has never heard of you converts worse than outbound supported by presence. They compound; neither substitutes.
Work in every jurisdiction
Consent rules differ substantially. Some markets and some channels are effectively closed, and we will say which rather than letting you find out.
Survive bad follow-up
A well-prepared approach that gets a reply nobody answers for three days wastes the entire effort.
Produce results in week two
List building, enrichment, trigger detection and the sales cycle itself all take time. A quarter is the honest horizon for judging it.
More AI Automation
The rest of the AI Automation stack.
Questions
AI Lead Generation, answered.
Is this cold spam?
No — we target ICP-fit accounts with relevant, personalized outreach and human oversight, not blast spam.
How does it connect to the rest?
Generated leads flow into nurture and your CRM, so outbound and inbound feed one tracked pipeline.
Is this cold spam?
No, and the distinction is in the volume and the preparation rather than in a disclaimer. Spam is high volume, low relevance, sent on the assumption that a small percentage will respond. What we build is the opposite trade: fewer accounts, selected against criteria derived from your actual closed-won data, with real research assembled per account, and a message written by a person who read it. If the system cannot produce a genuine reason to contact a particular company, that company does not get contacted.
Do you send the emails?
No, and that is deliberate rather than a limitation. We build the pipeline that finds the right accounts, enriches them, detects the right moment and prepares a brief. Your team writes and sends. The moment sending is automated at volume, the economics push toward more messages and less thought, which is exactly how outbound programmes become the thing everyone complains about. If your team lacks capacity to send, we will say so before building the pipeline rather than after.
What about GDPR and other consent rules?
They constrain this work substantially and we scope to them rather than around them. Requirements differ by jurisdiction and by channel — what is permissible for B2B contact in one market is not in another, and legitimate interest has conditions rather than being a blanket permission. We build with lawful basis, data handling, opt-out mechanics and record keeping defined for the markets you are contacting. Where a market or channel is effectively closed to cold outreach, we will tell you instead of leaving you exposed.
How many leads will this produce?
We will not quote a number before looking, because it depends on how many accounts actually fit, how strong your proposition is in their eyes, and how well your team follows up. What we can say is the shape: a tighter list with better preparation produces fewer approaches and a higher reply rate, and the total meetings booked usually exceeds what a higher-volume approach achieves while doing far less damage to your sending reputation and your brand.
Where does the data come from?
A combination of enrichment providers, public sources, job postings, technology detection and your own CRM history — with the reliability of each source documented, because they vary considerably and some are confidently wrong. We do not buy scraped contact lists of questionable provenance; beyond the legal exposure, those lists are sold to everyone in your category and the recipients are already saturated.
Can this work alongside our SDR team?
That is the arrangement it is designed for. The system does the research an SDR would do if they had the time — account selection, enrichment, trigger detection, brief preparation — and the SDR spends their hours on the part that requires a person. Teams usually find they can cover more accounts properly rather than covering more accounts badly, which is a different and better outcome than a volume increase.
What if our market is only a few hundred companies?
Then this approach suits you better than it suits a large market, not worse. With a small addressable market, every approach matters and volume tactics are actively harmful because you cannot afford to burn accounts. The preparation per account can be deeper, the triggers can be watched more closely, and the whole thing starts to resemble account-based marketing — which is what it should be at that scale. We would also pair it with LinkedIn advertising against the same list, since the two compound.
How does this connect to the rest of the programme?
Through the same CRM and the same fit criteria. Outbound outcomes tell you which accounts actually convert, which sharpens the targeting for paid campaigns and the topics for content. In the other direction, prospects who have encountered your content or ads respond to outbound at a visibly different rate, which is why running outbound into a market with no presence is the hardest version of it. We report them together for that reason.
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