What we run, what we build, and how it ships.

The work is outbound at scale, primarily cold email. For each active campaign we provision and warm a pool of sending mailboxes (typically thirty to sixty), configure SPF, DKIM, DMARC, and BIMI on each sending domain, and route everything through redundant SMTP infrastructure with per-account deliverability monitoring. Pools are warmed before they send, monitored while they send, and rotated out the moment reputation slips.

Replies flow into an AI-triaged pipeline. Each inbound message is classified before a human sees it: interested, objection, opt-out, out-of-office, hostile, autoresponder. The classifier runs on whichever model is best for the partner's offer (OpenAI, Anthropic, or Gemini) and the threshold for what counts as interested is tuned per campaign so your team only opens the ones that matter.

When email isn't the right channel, we shift the spend. Paid acquisition on LinkedIn, Meta, and Google search; sourced lists with a manual cadence layer; partner introductions. The channel mix is set during the first cycle of the engagement and rebalanced as performance settles.

A dedicated dialer floor calls into your pipeline. We staff and run the floor (recruiting, training, scheduling, payroll) or layer on top of an existing one. The dialer of record is Readymode (we're an affiliate partner) but other dialers are fine if you're already invested. Setters work in shifts tuned to the buying time zone of the lead source, not ours.

Every booking moves through QC before it reaches a closer. A reviewer scores the appointment on intent signal, qualification, and risk, classifies it (firm, soft, follow-up, disqualified), and either passes it through or sends it back for re-confirmation. Soft bookings are not pushed forward to inflate the day's count; they go back into the queue.

Around every confirmed meeting we run a virtual reception cadence: SMS plus email confirmation immediately after booking, day-of reminder, two-hour reminder, and a 'running late?' outreach if the prospect doesn't join on time. Show rate is what we optimize for, not raw bookings.

We build your call floor as if it's a real installation, then hand it off. The build covers recruiting (sourcing, interviewing, reference checks), onboarding (scripts, product training, dialer training), role definitions across the full floor (agent, QC reviewer, dispatcher, ops director, admin), the payroll structure (base plus tiered commission), reporting cadence (EOD digests, weekly review decks), and the dialer and CRM stack the floor runs on.

During the build, our setters run the floor. Your team observes and pairs in. As your people take ownership, our team steps back. The handoff is structured, not a cliff: documented SOPs, recorded training sessions, role-by-role checklists, a thirty-day support buffer after we step off.

Performance instrumentation runs through the entire floor: dial-to-conversation, contact-to-set, set-to-show, show-to-close, sliced by agent and by lead source. We host the dashboards on a Customer Path platform, or we wire your existing BI tool. Either way the partner owns the numbers the moment they exist.

Trained closers sit on Customer Path payroll and work your pipeline. We recruit them against your offer, onboard them on your process, coach them weekly, and run the commission structure. They close as agents of your business under whatever brand and contract structure you set. Onboarding always starts with a process audit: we don't close into a sales motion we haven't walked through with you.

For partners with an existing closing team, we layer in rather than replace. We source additional closers, audit current closer performance, and run the coaching cadence without changing your leadership. The same discipline applies either way: every touchpoint logged, every disposition tagged, every reason a deal advanced or stalled written down.

Pipeline review with the partner's leadership happens every cycle. Forecast, risk, intervention. We surface the uncomfortable numbers before they become the explanation on a board call. The audit trail per deal is the deliverable as much as the closed revenue is.

Operations engineering answers a specific problem: every business runs on invisible work that off-the-shelf tools cannot model. Reports rebuilt every cycle. Decisions held in someone's memory. Tools paid for but never connected. We either build the software that runs this work natively, or we automate it across the stack you already own. The decision between those two paths is made in discovery, not on this page.

Nine platforms are live in production today on partner domains, in partner branding. They run real operations every cycle: a solar console doing auto-disposition with Gemini, an agency spine running appointment scoping and Stripe billing, a credit-based lead marketplace with live auctions, a cold-email SaaS that we now also use ourselves. Every one of them was scoped from operating knowledge, not a feature request.

Built in TypeScript and Next.js on the front, Postgres or Firestore underneath, with whichever AI model fits the domain. Hosted on Vercel, Cloudflare, and Fly.io for the platforms, Hetzner or AWS for the heavier services. The partner holds a perpetual license to the platform forever, even if the engagement ends. We keep the source so we can reuse patterns across partners faster, but you keep what runs your business.

See the six recurring problems we solve via software on the home page.↗