# Marcus Delgado, Director of Sales Development at Meridian Compliance Solutions — read of Appointment Setter AI, June 23 2026

> 11 years in B2B sales, last 4 running an SDR team of 8 at a 90-person fintech compliance SaaS. HubSpot shop, Salesloft for sequencing, Calendly baked into everything. Coach my kid's U8 rec basketball on Sundays, which means I do most of my tool research between 9 and 11 PM.

## How I got here

I was listening to the Revenue Builders podcast in the car and they mentioned Orum in passing. I went down a rabbit hole on AI SDR tools, hit a Reddit thread, and someone in the comments linked to this site with the comment "these guys are more honest than most." That was enough to click. I was not looking for Wishdeal specifically. Never heard of them before.

## What I clicked first

I went straight for the pricing because I've been burned by "contact us for pricing" pages enough times to treat upfront pricing as a basic trust signal. Found it buried in the FAQ: "$99/meeting booked (you keep all deal revenue). Cancel anytime. No contracts." That's actually a format I haven't seen before. Performance pricing. I stayed on the page because of that.

The hero didn't do it for me. "Close deals while competitors are still organizing their inbox" reads like it was written by someone who has seen too many Gary Vaynerchuk clips. I almost left there.

## Where I paused

The FAQ answer to "What if prospects think it's a bot?" stopped me cold. Most tools in this space dodge that question or give you a corporate non-answer. This one says the AI "discloses it's AI in the first message, but frames it as a team member helping prioritize their time." That's a real answer about a real problem. I've had sales reps ask me this exact question. The framing they describe is how I'd actually want it handled. It doesn't solve the problem, but at least they thought about it.

## What I distrusted

Three things.

First: "47% increase in booked meetings within 30 days." No sample size. No industry. No baseline. That number could come from two teams that were booking 2 meetings a month and got to 3. Completely useless as written.

Second, and this is the big one: buried near the bottom is a line that says "Honest disclosure: we don't have live customers on this idea yet. We shipped the strategy package; you ship the customer conversations." So I've been reading a product page for a thing that does not exist yet as a working product. They're selling a $99 dossier and a $99-199 code starter. That's what this is. Not a SaaS tool I can plug my HubSpot into tomorrow. The "Works With Your Stack" section showing Salesforce and HubSpot logos implies a shipping integration. That's misleading by design, even if the fine print corrects it.

Third: the ROI calculator. "For a 10-person sales team with 30% avg. response rate and $100K deal size: +88 meetings per month." I have an 8-person SDR team. Our average response rate across Salesloft sequences is around 4%. Not 30%. I don't know where 30% comes from but it is not my world.

## What would convince me

One real case study. Not a metric. A story. "We helped a 2-person SDR team at a $10M ARR HR tech company go from 14 to 22 demos per month in 6 weeks, here is the exact sequence they ran and here is their AE's quote." That's what I'd forward to my VP. Anonymized is fine. Industry specifics matter more than company name.

If they had even one paying customer using the code starter, I'd want to see a Loom of the actual outreach flow working in a real inbox. Not a demo environment. Real threads, real replies, real calendar confirmation emails.

## What I'd ask in an email reply

1. The deliverability section says "92-96% inbox placement" - what sending infrastructure does the code starter actually ship with, and who owns the sending domains, me or you?

2. At $99 per booked meeting, what counts as "booked"? Prospect clicks a calendar link and ghosts? Prospect replies "sure send me times" and never confirms? This definition matters a lot to me financially.

3. You say the AI "learns your voice" from uploaded emails and case studies - how long does that training take and what does the output actually look like before it sends anything? Does a human review the first batch or does it just go?

## Verdict: on-the-fence

The pricing model and the bot-disclosure answer are genuinely interesting. But I showed up thinking I was evaluating a live product and I'm actually evaluating a strategy package with a code starter. That gap between the page's implied promise and the fine print disclosure is too wide for me to move forward without understanding a lot more about what I'm actually buying.

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*Memo by skeptic persona, generated 2026-06-23. Studio breaks own self-grading loop.*