AI Automations

Let AI do the manual work your team is stuck doing.

Prospect research. Lead enrichment. Cold email orchestration. Content distribution. Most teams are 20 hours a week deep in work AI can do in 2. You get the custom systems that give you those hours back.

Apply for an AI Growth Package

The problem

Your team is stuck doing work that AI should do.

Somewhere in your business, someone smart is spending Tuesday afternoon copy-pasting data from LinkedIn into a spreadsheet. Someone else is manually researching 40 prospects before a sales call. Someone else is building the same report from scratch every Friday. The collective bill for that work — salaries, contractor hours, opportunity cost — runs into thousands of dollars a month that produce nothing proprietary.

This is the work AI is built for. Structured inputs, repeatable logic, deterministic outputs. But almost nobody has actually wired it into their business. They’ve installed a ChatGPT tab and called it a transformation.

Why most “AI automation” fails

Installing ChatGPT isn’t automation.

Generic chatbots. A bot that answers FAQs on your site isn’t automating your business — it’s replacing your FAQ page. Those tools are cheap for a reason.

No integration with real workflows. If the AI output requires someone on your team to copy-paste it into Salesforce, you didn’t remove the work. You moved it.

No human-in-the-loop design. Workflows that let AI write, send, and close loops without a human checkpoint will blow up in public. The right design knows where to insert approval gates.

No custom logic for the specific business. Off-the-shelf “AI workflow” platforms force your process to fit their templates. Real automation requires custom code, API orchestration, and workflow design tailored to how your business actually operates.

What works: custom-built systems, wired into your real stack, with clear handoffs between AI and humans, and logging that lets you audit every decision.

What you get built

Real systems I’ve built and run in my own business.

No automation theory. Every system listed here is running live in Alexo’s own operation before it ships to any client.

Lead Pipeline Systems

Bulk prospect sourcing across a 500-niche scored target list. Google Maps scraping, firmographic filtering, waterfall enrichment (lead scraper → Hunter → Firecrawl → Tavily → SERPAPI), SMTP verification, and Instantly-ready CSV export. I built and run this for Alexo’s own cold outreach.

Cold Email Infrastructure

25 warm inboxes across 5 domains, with automated warmup, inbox rotation, smart scheduling, deliverability monitoring, and campaign orchestration through the Instantly API. Capacity: 300 sends per day, 9,000 per month, with full delivery telemetry. Built for Alexo’s own outreach stack.

Prospect Research Automation

A 6-phase research protocol (Discovery → Validation → Analysis → Competitive → Strategy → Deliverables) that produces a full research brief on a single prospect in minutes. Used to build Dream 100 outreach packages with research-grade depth.

Custom AI Agents

Research agents, content agents, campaign orchestration agents, quality review agents. Built on the Claude API plus custom tooling (MCP servers, workflow engines, webhook orchestration). Designed with human-in-the-loop checkpoints so you always own the final send.

Content & Distribution Automation

Newsletter drafting pipelines, social content atomizers, content distribution agents that take one long-form piece and spin it out across channels. Built for teams that produce content but lose hours every week to the cut-and-paste distribution tax.

What you get

Deliverables, every engagement.

A working system. Not a deck of slides about AI.

Discovery workshop to scope your highest-value automation opportunities
Custom-built systems tailored to your actual stack (not generic templates)
API integrations with the tools you already use (CRM, email, comms, data)
Human-in-the-loop approval gates wherever risk demands them
Logging and audit trails for every automated decision
Full documentation and team handoff
30-day post-launch support while the team adopts the system
Optional retainer for ongoing operation, monitoring, and improvements

Process

Scope, build, handoff.

Week 1 — Scope call and workflow audit. I map your current manual processes, identify automation candidates, and score them by hours saved per month times annualized cost. Output: a prioritized automation roadmap.

Weeks 2–5 — Build. Custom code, API orchestration, integrations, testing. Your system is built on tools that don’t lock you in (Claude API, standard webhook patterns, common databases). You get source code and documentation.

Week 6 — Handoff. Training session with the team who will operate the system day-to-day. Runbook, troubleshooting guide, and 30-day support window included.

Investment

Custom. Priced to the build.

Most build engagements run $5K–$15K depending on scope, integration complexity, and volume. Optional retainer for ongoing operation, monitoring, and iterative improvements typically runs $1.5K–$3K per month. I’ll quote the engagement precisely after the scope call.

Fit

Who this is for — and who it’s not.

This is for you if:

You have repetitive manual processes costing $2K+/month in labor or contractor time
Your team does prospect research, lead enrichment, or outreach at any real scale
You want to operate with smaller headcount or scale output without hiring
You’re willing to document your current workflows so they can be automated properly

This is NOT for you if:

You’re pre-revenue and don’t have identified manual processes to automate yet
You just want a generic website chatbot (plenty of cheaper tools for that)
You’re not willing to document your current workflows
You want a vendor who will promise “AI magic” without a real scope and real budget

Ready to get those hours back?

Apply for an AI Growth Package. I’ll audit your workflows and return a prioritized automation roadmap before you pay for anything.

Apply for an AI Growth Package