Proven automation systems, in production

Lifecycle email marketing that triggers on user behavior — ~9,200 automated sends a day, zero manual work.

A behavioral email automation engine tracks every signup to the second they touch the paywall and fires a trigger-based lifecycle sequence — D1 / D3 / D7 — at the exact hour a user is most likely to return. Ten behavioral segments, automatic suppression of paid and bounced contacts, and a built-in deliverability warmup keep the drip campaign converting without a marketer lifting a finger.

Automated win-back email campaigns with holdout testing — reactivation revenue proven, not assumed.

A customer reactivation engine re-engages dormant and churned users with token-backed win-back offers on evergreen copy, timed to the moment of drop-off. Every send runs against a randomized holdout, so churn win-back and re-engagement revenue is measured, not guessed.

Real-time bidding gets adjusted by campaign performance, not by manual budget checks.

A real-time bidding workflow watches every campaign and zone and manages bids automatically, scaling winners and cutting losers by bid value instead of crude budget caps. A multi-armed bandit handles programmatic creative rotation, steering ad spend toward the highest-ROAS placement every hour.

Seven ad networks unified into one reconciled media buying dashboard and a per-campaign digest.

A cross-channel ad reporting pipeline pulls spend, clicks, and conversions from seven ad networks nightly into a unified marketing data warehouse, reconciles them against revenue, and surfaces ROAS on a live media buying dashboard plus a per-campaign chat digest. One source of truth instead of seven logins and a spreadsheet.

Ad account balance monitoring that warns before a wallet runs dry — outlier-safe, no false alarms.

An ad account monitoring system watches every network wallet continuously and sends ad spend alerts before a balance hits zero, with anomaly protection so it flags real budget risks, not an API hiccup at 3 a.m.

New leads get a response in seconds instead of hours — qualified, logged to your CRM, and booked before they go cold.

Most inbound leads wait hours for a first touch, and industry research keeps showing the same thing: response within the first minutes multiplies contact and conversion rates. This system triggers the moment a form is submitted or an ad lead lands: it fires an instant SMS, email, or call-back, asks the qualification questions you care about, scores the answers, writes everything back to the CRM, and books qualified leads straight into a calendar slot. Your ad spend stops leaking on leads nobody called.

An influencer outreach automation platform that discovers, enriches, pitches, and follows up — synced to your CRM.

An AI KOL management workflow handles influencer discovery, email enrichment and verification, and brand-voice outreach — two paragraphs, three angles, per lead. An inbox watcher matches replies into the influencer CRM and an automated follow-up sequence runs itself. Cold email automation with a human only on the yes / no.

Multi-touch partner outreach sequences with an inbox watcher — no warm lead goes cold.

A partnership outreach automation pipeline runs multi-touch cold email sequences — D1 / D3 / D7 — with an inbox watcher for affiliate and partner recruitment, so no warm lead ever cools because someone forgot to reply.

From brief to finished AI video ad to five localized languages — overnight, at any volume.

An AI video ad generation pipeline turns a brief into finished creative — stills to motion to on-screen copy and voiceover — then handles video ad localization into five languages with matched captions and re-voiced audio. Creative automation that delivers multilingual UGC-style video ads overnight, on demand, at the volume the media plan needs.

A nightly marketing P&L on your own LTV:CAC formula, with forward LTV projection and per-manager attribution.

A marketing unit economics engine recalculates profit nightly on the exact formula leadership trusts — subscriptions × (LTV − CAC) − salary — with forward LTV projection, payback, and marketing attribution broken out per manager and channel. The LTV:CAC morning brief writes itself.

Intraday sales and payment monitoring with anomaly detection — real revenue drops surface in minutes.

A real-time revenue monitoring system checks sales and payment rejections intraday against same-weekday baselines, using statistical anomaly detection so sales alerts fire on genuine drops, not noise. Revenue problems surface in minutes, not at the weekly review.

KPIs pulled, deltas computed, the weekly marketing report drafted automatically on verified numbers.

An automated marketing reporting system pulls KPIs, computes deltas, and drafts the weekly marketing dashboard and sync on verified data. The team edits the narrative instead of assembling the spreadsheet.

Every sales call scored and every deal analyzed by LLMs — with manager reports delivered to the CRM messenger on schedule.

A call analytics system transcribes and scores primary calls, classifies deals, and writes summaries and recommendations — then ships daily and weekly manager reports straight into the CRM messenger. Leadership sees network-wide quality on OLAP dashboards; analysts get a dispute loop instead of random spot-checks.

Executives ask business questions in plain language — a guarded NL-to-SQL planner answers from a verified warehouse.

An AI BI layer syncs CRM portals across four countries into one warehouse and lets leadership ask questions in natural language. The NL-to-SQL planner runs only over approved, verified data marts — validated, read-only, portal-scoped — with dashboards and drill-down built in. No analyst queue, no separate BI seat licenses.

Browser calls recorded, transcribed, diarized, and summarized — then searchable with one question across every meeting.

A browser extension records web calls — tab audio plus mic — and a pipeline transcribes, separates speakers, and writes the summary. Embeddings make the entire call archive searchable: ask one question, get answers sourced from months of meetings. Nobody takes notes by hand anymore.

Reps walk into every call with a one-page brief — company research, CRM history, talking points, and likely objections.

Before each scheduled call, the co-pilot pulls the prospect's company and role, scrapes the public footprint, merges it with your CRM history, and writes a short strategy brief: what they care about, what to lead with, and which objections to expect. After the call it drafts the follow-up and updates the CRM record, so nothing depends on a rep remembering to do admin work.

Every lead from this site is validated, scored by fit, and delivered to our pipeline with an instant alert — nothing sits unread.

The contact form on this site is not just a mailbox. Each submission is validated and rate-limited at the edge, scored against fit signals like ad spend and industry, and delivered to our own pipeline through a monitored webhook with retries — with an instant alert so a reply goes out fast. It's a small version of the speed-to-lead systems we build for clients, running on our own traffic first.

Inbound leads get qualified and stalled deals get a follow-up before they go cold.

The workflow qualifies every inbound lead against your criteria, writes the answers back to your CRM, and books qualified prospects straight into a rep's calendar. A second flow watches for deals that went quiet mid-funnel and re-engages them with a relevant follow-up. You measure it in booked calls and recovered pipeline, not chat volume.

New sales hires get approved answers from training docs and the live product catalog.

The assistant lives in the company messenger and answers questions from approved training documents and a synced product catalog. New sales managers stop pulling mentors off the floor for repeat questions, and training materials sync automatically from cloud storage.

One master catalog with translations, media, and compliance, publishing safe structured data to every channel.

A product information hub keeps the master catalog - attributes, translations, media, compliance docs, readiness checklists - under audit control, and publishes it through per-channel feeds and a secured read-only API. Storefronts across countries consume the same verified data; spreadsheets retire.

Feature and bug requests moderated once — GitHub issues, notifications, and status sync happen automatically.

An internal service desk takes requests with screenshots, and on approval creates the GitHub issue in the right repo, notifies the team in the messenger, and syncs status back to a Done board. An AI analyst comments on issues with a first take. Triage stops living in chat threads.

Built for ourselves, running in production: keyword research, drafting, internal linking, and publishing checks — dozens of articles shipped.

We use our own systems before selling them. This site's blog runs on an automated pipeline: keyword and search-demand research feeds a topic queue, drafts are generated and reviewed against an editorial checklist, the internal-link graph between articles is validated and repaired automatically, and every publish runs consistency checks before going live. It's the same architecture we build for clients — we just happen to be client zero.