Lead distribution without the human touch
An e-learning provider distributed leads to sales agents by hand — once a week, full of judgment calls. We automated it on real-time data: 15 minutes per market instead of two to five hours.
CRM, sales-call intelligence, marketing reporting, and process automation — built around your motion, not somebody else's template. Same tools, better operation, more revenue.
Sales Operations · Marketing Automation · AI Intelligence · Content Analytics · Process Automation
Most agencies sell you new tools. We come in as operators — we look at how revenue actually moves through your sales, marketing, and operations, and build the layer that makes it work: CRM, data, workflows, rules, the processes that hold everything together.
Sometimes that's custom code. Sometimes it's a configuration change. Sometimes it's pointing at the thing nobody wanted to say. We stay close while it runs, and adjust as the business does.
— Your revenue operations, truly yours.
We work with your CRM, your outreach, and your handoffs around how revenue actually moves — lead distribution, scoring rules, scripts, telephony, the parts that decide whether a lead becomes a deal. Configured like an operation, not like a software product.
— AI reads the calls. Your rules make the call.
Every sales call becomes structured deal data — transcription, extraction of pain signals, objections, and qualification facts, deterministic scoring against your rubric, writeback straight into the CRM. AI does the reading; your rules do the judging. A scored pipeline, not a transcript graveyard.
— Data won't grow your revenue. Insight will.
Raw platform metrics tell you what got views, never why. We build the layer that answers it: cross-platform collection, statistical scoring against each account's baseline, content-DNA extraction — hooks, retention, pain/promise/CTA — and similarity search to find more of what works. Analytics that explain, not just count.
— Templates break where your business begins.
Off-the-shelf automations handle the easy 80% and break on the part that matters. We design the process and build it across your stack — Make, n8n, custom — around logic that's yours. The weird 20% is the job.
— Buy the traffic. Prove the payback.
Budgets go up and the cost per customer goes up with them — while the numbers that would explain it sit in three ad managers and a manual spreadsheet. We run the buying against a cost target, and build the pipeline that shows whether a cohort paid back. The two halves finally meet.
We build custom for your motion. Tell us what's broken — we'll tell you whether we can fix it.
We map how your revenue actually moves — systems, handoffs, and where it leaks. You get a written diagnosis, not a sales deck.
We build the process together — interviewing the people who run it, studying how the work actually flows. It takes a few of your hours, deliberately: a well-formed task and a definition of done are what make everything after them work. You approve the blueprint before we build.
We encode the process into your stack — CRM, automations, reporting — and show it working on your real data every week. It goes live piece by piece, no big reveal.
We stay close while it runs — measuring, tuning, training your team to own it. You're left with a documented system, not a dependency on us.
A sample of what we build. Each project is different — all share the same standard of quality.
An e-learning provider distributed leads to sales agents by hand — once a week, full of judgment calls. We automated it on real-time data: 15 minutes per market instead of two to five hours.
Every quote was a hunt across files, every report a hand-built table for the CEO. One Google Sheets layer took quoting to 15 minutes and reporting to a glance — conversion up 23% in the first months.
Manual QC heard 2–7% of sales calls, and no two reviewers scored alike. An AI evaluation layer took coverage to 30–40% at ~$0.30 a sales call — one rubric, scores and examples in the team's reports.
Write us what hurts. Within 24 hours: an honest answer whether we can help, and the next step if we can.