Between 15 and 50 qualified meetings booked into your team’s calendar every month, depending on your market. AI personalisation that doesn’t read as AI. Custom scrapers built per client around the signals that predict who’s in market for what you sell. Continuous improvement on live reply data. Your team turns up to the meetings and closes the deals.
PartnerBridge is an Edinburgh-based partner intelligence platform for B2B SaaS. Before working with us, the founder ran his own LinkedIn outreach between building the product and taking sales calls. Meeting count was inconsistent month to month. Every hour spent prospecting was an hour he wasn’t spending on the product.
Now he doesn’t touch outreach. We run his cold email and LinkedIn outreach as a fully done-for-you service. Over 15 qualified meetings appear in his calendar every month, he closes them, and the rest of his week goes back to product and partnerships.
Most B2B companies build their outbound one of three ways. All three are quietly broken.
A fully-loaded UK SDR costs £55-75k a year for a junior, £70-95k mid-level, before tools. Two SDRs and a manager land at £235-360k all-in. Median ramp is three to six months. Median tenure is under two years, and one in three churn every year. Add the manager hours keeping them on the rails and the maths gets worse. The strong rep eventually leaves with the playbook in their head. The cycle restarts.
Tens of thousands of emails sent in month one, a handful of booked meetings, most unqualified. The list is an Apollo export with half the contacts in the wrong vertical or already moved jobs. Targeting is title-based, missing the prospects in a real buying window. The AI personalisation is the same AI personalisation every other agency runs, with the same telltale rhythms and phrases buyers see all day. Reply rates collapse inside the first month. Replies sit unread for hours. A monthly PDF lands with opens, sends, and a story about why the numbers were soft. No specific actions. No channel breakdown that maps to your funnel. The founder reads the PDF, fires the agency, signs with the next one. The cycle restarts.
Thirty hours a week of someone's time goes into lead scraping, copy iteration, deliverability management, reply handling, and follow-ups. The list goes stale. Apollo data is wrong on half the rows. The AI personalisation reads like everyone else's AI personalisation, so reply rates collapse. The volume of genuinely personalised copy required to book 15 to 50 qualified meetings a month is more than any internal team can produce by hand at the quality needed. Even three full-time staff on it won't get you there. The bottleneck is AI engineering and outbound sales operations sitting in the same room, every single day. Hours on the clock can't replicate that.
While you’re trying to make one of these three work, competitors who got their outbound right are working through the same market. Every multi-year contract they sign is a buyer closed off to you for one to three years. That market position is the real cost of human-heavy outbound, the cost you don’t see on a P&L until it’s gone.
Dedicated infrastructure (sending domains, warmed mailboxes, DNS) is the standard playbook every serious cold-email operation needs. The AI engine and the operator layer sitting on top are where this channel works, or it doesn't.
Layer 01
80 to 150 dedicated mailboxes spun up per client, sized to your market, capped at 25 sends per mailbox per day. Sending domains are dedicated, kept completely separate from your main domain. Each one forwards to your real website, so a recipient who checks the sender lands on your live business. Full SPF, DKIM, and DMARC authentication. Three-week mailbox warmup before a single cold email goes out. Your main domain is never used for outreach.
At full operating volume
Steady state
15-50
qualified meetings booked per month, depending on your market.
Per active campaign
~3,000
personalised emails sent per day, written at a quality a manual SDR caps at around 80 per day.
Reply time
5 min
maximum time to reply on every positive inbound.
Numbers vary by niche, market, and country. The realistic range for your specific company is given on the discovery call.
Decision-maker, inside the targeting criteria we agreed at the start.
The targeting criteria get locked in writing during onboarding. If a meeting doesn’t meet the bar, it doesn’t count toward the numbers.
Weeks 1-4
Week 1: full email infrastructure stood up. Domains and mailboxes provisioned, DNS authentication, mailbox warmup started. Weeks 1 to 4 in parallel: custom scrapers built, lead lists constructed, buying-signal scrapers built around the readiness patterns for your buyer, copy drafted and refined, targeting locked in writing. No cold sends during warmup.
Week 4
First emails go out at low volume. Deliverability monitored daily. LinkedIn outreach starts in parallel.
Weeks 4-8
Volume scales gradually toward target. Copy improves on live reply data. First booked meetings typically land around week six.
Weeks 8-12
A/B testing compounds. Targeting refines on the back of live data. LinkedIn cadence tunes in. Reply patterns get dialled in.
Week 12 onwards
Copy fully tuned. Operating at full volume across email and LinkedIn. The 15 to 50 qualified meetings per month range starts to come in once the market, offer, and targeting are proving out.
Then · Six roles’ worth of work
Cold outbound used to need a four-person SDR team plus a sales-ops layer to keep it running.
Six roles’ worth of work, all aimed at moving real conversations into a real calendar.
Now · Run as a system
The work hasn’t got easier. The default agency answer has got worse, because the market is now flooded with AI cold email the buyer clocks inside a sentence and reply rates have collapsed across the channel. We run the whole operation as a system. Agentic AI does the volume work at human-grade quality. Humans handle strategy and approval. Every layer custom-built around the company we’re running it for. Email and LinkedIn outreach run in parallel on the same target list. We’re specialists in the combination of AI engineering and outbound sales operations, and the entire business is set up around that one function. Your team turns up to the meetings.
Generic agencies
Apollo export, contacts who left their job last year
Tannto
Custom scrapers built per company, every contact AI-verified against the campaign vertical before it reaches the send queue
We map your offer, market, current sales motion, and the realistic meeting range. If AI Outbound is the right fit, we show you what the campaign would look like. If it isn’t, we tell you that and point you at what we think is.
