Day 1 operating Security AI · Wishdeal Factory

8:42 AM - Inbox triage

I'm at the kitchen table with a second coffee, watching the Security AI dashboard load. Tuesday mornings are always a reckoning. Overnight, the agent system processed 34 customer security scans and flagged 8 incidents across our partner accounts. I scan the Slack alert channel first - color-coded by severity, the high-priority items bubbling to the top. One flagged conflict waiting for me. I note it and move to Gmail.

Three new partnership inquiries from MSPs who found us through the breach news content we published Friday. That's good. I forward one to Linear as a task - reach out to Devon Pike at Advanced IT Solutions, 120-person firm in Denver, exactly our ICP. He's asking about white-label pricing. This is how month one became month two: referrals and inbound.

The other two emails are customer churn notifications. I click into Stripe to see the context. Marlene's Practice, a small dental office in Reno, canceled her subscription last night at 2 AM. No note. ASP was $199/month. The Stripe dashboard shows she'd been a customer for exactly 31 days. I make a mental note to reach out personally, understand why, maybe offer a discount if there's a quick fix. That's today's job - customer retention is harder than I expected.

The other cancellation is more straightforward: a one-month trial that expired. That was always going to happen. Not a loss.

I pull up the Security AI agent's draft emails for today. Seventeen of them, sitting in a review queue. These are outbound customer check-ins, incident summaries, and a few partnership follow-ups the agent generated based on conversation history. My job is to scan them, flag anything that sounds off, and approve for send.

10:15 AM - A flagged conflict

The third email in the queue is the flagged conflict. The agent drafted an incident severity upgrade for a customer, bumping a medium-risk vulnerability to high. The logic looks right - unpatched RDP exposure, publicly facing, their IT consultant hasn't responded in 48 hours. But I check the context. This customer, Carol Reyes at Reyes Family Practice, is also the one who complained about over-alerting last month. I remember the conversation: she said the prior system was "crying wolf too much."

I draft a revision. Same message, different framing. Instead of "This is now high severity," I write "Our system flagged this as potentially high-risk, but we wanted to talk to you first before upgrading the severity. Here's what we're seeing, and here's what we recommend." I add a line offering a 15-minute call if she wants to walk through it. Carol responded well to being consulted last time, not talked at.

I approve the revision and move on. Fourteen more to go.

Halfway through the queue, I spot something else. The agent drafted a renewal reminder to a customer who churned three weeks ago. Someone forgot to mark the account as inactive in the system. I flag it and make a note: tighten the data flow between cancellation and the AI. This is the kind of thing that builds fast if I don't catch it.

All seventeen emails approved and scheduled by 10:45 AM. This is the part that actually works: the agent handles tone and timing, I handle judgment calls.

12:30 PM - Lunch and the metrics check

I step away for lunch, make a sandwich, and pull up the dashboard while eating at my desk. This is the ritual now.

Week-to-date pipeline: 47 leads, 12 qualified conversations, 4 in proposal stage. One of those four is going to close this week. I can feel it. Devon Pike is the Denver MSP who just emailed this morning. If he signs, that's a white-label deal: we handle the scanning and alerting under his branding, he pays us 20% of his customer revenue. He's quoted at maybe $4k/month for his first fifty seats. That would be our biggest partner deal yet.

Today's numbers: 3 new signups, $597 in today's revenue (a mix of direct customers and partner rev share flowing back). Week-to-date: $3,200. On pace for $12,800 this month. Last month we hit $11,600, so we're tracking slightly ahead. Not viral, but steady. The Year 1 ARR target was $96,000. We're running at about $18,000 annualized right now, in month two. We need to accelerate partnerships or the direct inbound motion needs to kick faster. But it's early.

I check the Slack dashboard that pings us whenever a customer manual escalation comes in. Looks quiet. I check email one more time. A customer - James Shaw at Shaw Manufacturing - replied to yesterday's incident email. He's thanking us for catching a SQL injection vector before his developer found it in prod. He says if we'd missed it, his manufacturing planning system would've been down for a full day, costing them "more than I care to calculate." He wants to renew for next year early. That feels good. That's the moment that made me take this on.

2:08 PM - Customer escalation

The quiet doesn't last.

Slack message from Marlene at Marlene's Practice, the customer who canceled this morning. She wants a call. I Slack back: available at 3pm? She says yes.

I spend the next 45 minutes prepping. I pull her account history. Seventeen scans, five alerts, two of which she dismissed as false positives. She'd emailed me once asking if we could reduce the noise. I replied with a dashboard setting to bump her sensitivity threshold, but I'm guessing she never found it. Classic. The product is flexible, but the customer didn't know it.

At 3pm sharp, I call her.

Marlene answers on the second ring. She's direct: "The alerts were too much. I'm a small practice. I don't have an IT team. Your system was flagging things I didn't understand, and I didn't have time to deal with it."

This is the conversation nobody tells you about when you're reading the pitch deck for a pre-built business. I listen, ask clarifying questions, and then I explain the sensitivity setting I'd mentioned in email. But not in a "you missed it" way. I walk her through it on a screen share, and we dial her alerts down by 40 percent. I also offer her 50% off next month as an apology for the friction.

She's quiet for a moment, then says "Okay. I'll stay. But can you email me a simple guide on how to use this?"

I commit. Another 20 minutes of work, but now Marlene's activated, her monthly churn cost is avoided, and I've learned something: we need a lightweight onboarding guide for solo practitioners. I add it to Linear as a task - low priority, but real.

We hang up. Her cancellation is reversed. I note the time: a 30-minute call to save $199/month in recurring revenue. The math is brutal, but it's the work.

4:30 PM - A bug and a partner call

I open Linear and check the backlog. A bug was reported yesterday: the integration with Okta directory sync isn't working correctly for one customer. I pull the logs. The Okta API changed its pagination format last week, and we didn't adapt. It's a one-line fix in the agent's sync logic. I open the code, push a fix, and mark the issue resolved. Normally I'd wait for QA, but we're a two-person operation right now - it's me and a contractor handling integrations. I test it locally, it works, I merge it. Done.

At 4:45 PM, my calendar reminder pings. Call with Devon Pike, the Denver MSP.

He gets on the call ready to move. He wants white-label, 20% revenue share, first year commitment of at least fifty seats. His team would manage customer relationships, we'd run the scanning engine and integrations in the background. He's asking for a contract draft.

I don't have a template. I say I'll send a one-pager by Thursday outlining the terms, and we can iterate from there. He says that works. I feel the closing energy: this deal is going to happen. This is the partner motion working. One SEO article about a recent breach, one referral thread, one partner conversation, and suddenly we're scaling differently than direct sales ever could.

We hang up. I update the Linear task to closed and create a new one: draft partnership agreement, Devon Pike, $4k/month projected.

6:15 PM - Wrap

I close the laptop at 6:18 PM. The sun's still high outside. I review the day in my head:

Three new signups, one churn averted, one partner deal in serious motion, one bug fixed, seventeen customer emails reviewed and approved, two cancellation emails I still need to write. The metrics are moving. The agent output is solid, though the customer sensitivity thing is a pattern I need to solve faster.

What worked today: the process. Queue the AI output, review before sending, trust the agent on tone, override only on judgment. The partnership motion is real. If Devon signs and refers me to one other firm, suddenly we're not talking about one-by-one customer sales anymore.

What's still hard: one customer call took 30 minutes to save $199/month. Customer support doesn't scale on per-hour math. I need to build that onboarding guide, need to look at whether the default alert sensitivity is just too high, need to make sure the next Marlene doesn't have to call me.

The Year 1 ARR target is $96,000. We're running at $18,000. The gap feels less scary today than it did last week. Partners like Devon, if they convert and refer, could get us there faster than grinding direct sales.