Pick the cheapest vendor
Result: the AI agent sends emails. On paper, the project ships. Whether it moves the business is anyone's guess.
The outcome, in 60 days
127
qualified meetings booked
+46%
increase in sales pipeline
−71%
less manual SDR work
$96K
est. annual savings vs. 2 hires
A simple goal with no obvious way to buy it
A B2B SaaS company with 15 sales reps wanted to scale outbound: more qualified meetings, without adding headcount. The goal was simple. The buying was not.
They reached out to AI agencies and within a week had twelve proposals in hand. Every one promised the same things — an AI SDR, personalized outreach, automated follow-ups, booked meetings. Prices ran from $8,000 to $35,000.
The problem wasn't a shortage of options. It was that the buyer had no way to tell them apart. Every demo looked impressive. Every agency claimed the same expertise. Every proposal read almost word-for-word like the last. They were about to commit tens of thousands of dollars on little more than a gut feeling about which pitch sounded most convincing.
Three familiar paths — all ending in the same place
Pick the most expensive vendor
Result: more confidence going in. No more guarantee of impact coming out.
Build it in-house
Result: months of experimentation, a distracted management team and no single owner when results come in soft.
Every path ends the same way: money spent, outcome unknown.
They bought an outcome, not AI development
Instead of buying AI development hours, the company bought a result. The brief wasn't a technical spec — it was a number: increase qualified sales meetings by at least 40%.
7BE turned that goal into a procurement process and put three AI vendors into competition for the same outcome. Each was evaluated against the same criteria — not by the buyer's eye, but by independent verification:
- Lead qualification quality
- Meeting quality
- Response rate
- Deliverability
- Integration complexity
- Expected ROI
Then verification did its job. Two of the three vendors were cut — for reasons that would never have surfaced in a demo:
Generated meetings — but the leads behind them were low quality. Volume without value.
Strong results that leaned heavily on manual intervention. Impressive in a demo, fragile in production.
The only solution whose results held up under independent testing against every criterion.
One verified outcomePaid for on proof — not on a promise.
What 60 days of a verified AI SDR delivered
The winning solution didn't just ship — it performed against the number the company actually cared about:
- 127 qualified meetings booked in the first 60 days.
- 46% increase in sales pipeline, traced directly to the agent's output.
- 71% reduction in manual SDR work, freeing reps for live conversations.
- ~$96,000 in estimated annual savings versus hiring two additional SDRs.
But the result that mattered most doesn't fit on a dashboard. The company never had to become AI experts:
- They never evaluated a prompt.
- They never compared agent architectures.
- They never had to judge whether the implementation was technically correct.
They evaluated one thing — the business outcome — and let verification handle the rest.
The winning factor wasn't the AI SDR.
It was verification.
A measurable result beats AI development hours
Without verification, the company would most likely have bought an AI agent that worked technically and failed commercially — the most expensive kind of success, because it looks like progress while it quietly costs you the quarter.
Through 7BE, they bought a measurable result instead of AI development hours. That's the whole difference: you don't have to know how to build it or even how to grade it. You have to know what outcome you want — and trust that someone independent will prove it before you pay.
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