Archer Scaling.ai

Automation for B2B marketing agencies.

A handful of the automations I run in my own shop, ready to point at yours. Each one clears a recurring slog so your people spend their hours on the work only they can do.

Automate the periphery. Protect the creative core.

These aren't slides. Where it says live, it's running in my business right now and I can show you the real thing on the call. Nothing here is overstated: each demo is tagged for exactly how far along it is.

Live — running in my business today Built — capability exists, run on demand Adaptable — live on my ops; I'd adapt it to yours
01

Content Repurposing Engine

LIVE

"We tell clients to repurpose everything, and nobody here has the hours to do it for us."

Before: one asset, a person reworking it by hand for every channel.
After: drafts out for each channel in your voice, native format, queued. People approve, not produce.
~3–5 hrs per asset → ~20 min
Stays human: the taste and the point of view. The engine reformats; you keep editorial judgment.
Two of these run in my own business every week — shipped work becomes a scheduled LinkedIn post and an X draft, in my voice, auto-queued to best-time slots.
02

Warm Follow-up Drafter

LIVE

"The follow-ups that make us money are the ones nobody writes when we're slammed."

Before: someone remembers (or doesn't) to chase each warm contact, writes each nudge from scratch.
After: every morning, the contacts actually due show up with the message already drafted in your voice. Open, glance, send.
Nothing warm slips through the cracks
Stays human: the send, always. It drafts and surfaces; you decide and send.
Runs on my own relationships each morning — reads my pipeline, figures out who's due, drafts a threaded reply or paste-ready copy. It never sends.
03

Client Reporting Autopilot

ADAPTABLE

"Reporting is the two-days-a-month my senior people hate, and I can't delegate the 'so what.'"

Before: each account owner pulls dashboards into a template and writes the narrative by hand.
After: metrics pulled and assembled automatically, a first-draft narrative per client, anomalies flagged. They edit the story, not the data.
~2–8 hrs per client per cycle → minutes
Stays human: the strategic read. The autopilot assembles; your team owns what to do next.
Live on my own ops today: a console that auto-pulls metrics, computes health, publishes a dashboard, and alerts on anomalies. I'd adapt it to your client stack.
04

ICP List Builder

BUILT

"Building a good prospect list is days of tab-juggling that ends in dead emails."

Before: a person hand-researches companies, hunts for contacts, and eyeballs whether the data's any good.
After: parallel research returns a ranked, deduped, verified list with the fit reason on every row, ready for outreach.
Days of research → a clean verified list
Stays human: the targeting and the pitch. It finds and verifies; you decide who's worth it.
Built and run for my own prospecting — parallel agents that verify every business and contact via live web search, vertical-agnostic by config.