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Automations

Enterprise-grade AI automation, built for businesses that can't afford Fortune 500 prices

If you're worth $100/hour and this saves you 4 hours a day, it pays for itself within a month. Every month after that is pure profit. The only real question is how much you value your time.

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30–200%

ROI in year one from standard workflow automation alone

McKinsey

25–40%

Labor cost savings from automating repetitive work

McKinsey

~50%

Of business work activities can be automated without AI at all

McKinsey

62%

Wage/value premium commanded by AI skills — and rising every year

PwC AI Jobs Barometer

95% of generative AI pilots inside companies show little measurable impact on the bottom line — not because AI doesn't work, but because most businesses that "tried AI" bought a tool, ran a pilot, and got nothing. The gap is in implementation. That gap is exactly what SELKO closes.

What you're actually paying for

Never the tool. Always the outcome.

We're not removing a small task — we're removing hours of repetitive work, setting up a system you can scale with, and helping you avoid the cost of extra headcount.

Time saved
Money saved / mistakes avoided
Ability to scale without hiring

The guarantee

We only win when you win

If it doesn't get you any new customers in the first month, that month is free.

No fee for a system that delivers nothing. That's the whole point of the guarantee — the risk sits with us, not you.

The clogged pipe

More ad spend doesn't help if there's a clog near the start of the pipe

Cash flow is water through a pipe. Pouring more in — more ads, more salespeople — just backs up against the same clog. Fix the clog first, then scale volume. Ask yourself: if 500 new clients showed up tomorrow, what would break first?

Not a menu — a sample

The five below are examples of automations we've already built for other businesses — the ones that consistently sell because they hit the clogs almost every business has. They are not the limit of what we build. Any and all automations can be made — tailored specifically to your business's own leak points. If your bottleneck isn't on this list, that's exactly what the discovery call is for.

01Fixes: Response gap

Speed-to-Lead

The moment someone fills out a form, sends an inquiry, or calls, the system instantly captures the lead, qualifies it, routes it to the right person, and fires a personalized follow-up — all within seconds.

Responding within 5 minutes makes a lead up to 10x more likely to convert vs. 30+ minutes later. Yet the average business takes 47 hours to respond — by then the prospect has already talked to 2–3 competitors.

A local dental clinic spends $5,000/month on Google Ads for 100 leads/month. Slow front-desk response = 12% close rate = 12 new patients/month.

Add instant capture, qualification, and routing — no change in ad spend — and close rate rises to a conservative 25%.

+13 extra patients/month, same ad spend.

Best fit: Any service-based business — dental, legal, HVAC/plumbing, real estate, agencies.

02Fixes: Operational bottleneck

Document Processing

Automated extraction, categorization, and filing of data from invoices, forms, and PDFs. Often pure rule-based logic — deterministic, runs the same way every time, essentially maintenance-free.

Manual document processing carries a 5–15% error rate, and every error costs real money on top of the hours it burns.

A small accounting firm spends 50 hours/week (~$78,000/year at $30/hr) manually reading 200 invoices and re-typing data into other software.

Automated extraction, chart-of-accounts checking, and anomaly flagging — with a human review step retained — cuts per-invoice time from 15 minutes to ~2.

Frees ~45 hours/week — over $70,000/year in direct labor savings.

Best fit: Insurance, legal, accounting, logistics, construction — anyone drowning in paperwork.

03Fixes: Leaky pipeline

Follow-Up Sequences

Automated multi-touch follow-up for recently warm leads — form fills, webinar attendees, DM followers — who typically only get 1–2 human follow-ups.

80% of sales require at least 5 follow-ups, but most salespeople stop after 1–2. A warm lead left cold is money already spent on nothing.

A B2B firm's monthly webinar gets 150 registrants, 60 attend. Manual, inconsistent follow-up converts 4% — 6 booked calls.

Automated follow-up within minutes, tailored no-show messaging, 3–5 touchpoints over 2 weeks that stop the moment someone replies — conversion jumps to 10–12%.

18 calls instead of 6 — at a $20,000 average deal size, that's $36,000 → $90,000+ per webinar, same spend.

Best fit: Coaches, consultants, agencies — any business with decent lead volume that isn't staying in front of people.

04Fixes: Revenue already paid for, sitting unclaimed

Database Reactivation

Targets old, forgotten contacts — churned customers, dead trial sign-ups, cold leads gone quiet — sitting dormant in a CRM. Segments by where they dropped off and sends outreach referencing their actual history.

Agencies specializing in database reactivation report average ROI of 1,200% in the first 60 days.

A gym open 3 years has 4,000 dormant contacts while all budget goes to new ad spend for fresh leads.

A reactivation workflow segments the list and sends personalized outreach. Even a modest 2–3% conversion brings 80–130 people back through the door.

$32,000–$48,000 in recovered revenue, with zero new ad spend.

Best fit: High-lifetime-value, recurring-revenue businesses — gyms, dental clinics, SaaS, e-commerce, coaching.

05Fixes: Visibility gap slowing every decision

Internal Reporting

Pulls data from multiple systems, runs the analysis, and delivers it exactly where the team already looks — a daily Slack message, a weekly email, an automatic alert when something falls behind.

The least 'exciting' automation on this list, and one of the stickiest — once a business has it, they can't imagine going back.

A construction business had someone manually converting daily phone orders into the format the crew already used every morning.

Automating that conversion required no new tools and no new habits for the crew.

Saved 45 minutes/day and avoided $12,000/month in scheduling errors.

Best fit: Literally any business with more than a few employees and more than one software tool.

These five are just the ones that keep coming up. We build whatever your business actually needs — if it's repetitive, time-consuming, error-prone, or standing in the way of scale, it's fair game.

Why it pays for itself

The math, laid out plainly

"This manual process costs you 5 hours a week. If you value your time at $100/hour, that's $500/week — $2,000/month — $24,000/year. We can build a system that eliminates that work for a fraction of the annual cost. Over the year, you're getting back 240 hours and thousands in savings."
Weekly hours saved × hourly value = weekly savings
Weekly savings × 4 = monthly savings
Monthly savings × 12 = annual savings

The price of the engagement sits clearly below the annual savings figure — the "expensive" choice becomes not automating.

Is it worth automating?

The 4-pillar test

A process is worth automating if it hits at least two of these. The best automations hit all four.

Repetitive
Time-consuming
Error-prone
Scalable

A "personal AI assistant" that only acts when someone manually prompts it creates far less leverage than a workflow triggered automatically by a real event — a new lead, a payment, a new email — that runs unattended, day and night, at scale. SELKO focuses on automations that run while your business sleeps, not systems that just sit waiting to be clicked.

How we work

Scoped, tested, and monitored — not shipped and forgotten

01

Discovery call(s)

We scope the exact problem, data sources, and integrations needed — no price quoted until the data situation is fully understood.

02

Scope agreed before building

A full written build strategy is read aloud and confirmed with you before any pricing is finalized — no scope creep later.

03

Prototype fast

A working version goes live quickly rather than getting over-engineered upfront.

04

One week of internal QA

The system runs against sample and real data, stress-tested against edge cases, before you ever see it.

05

One week of client-side QA

You test it in the real world, give feedback, and we iterate.

06

Ongoing tracking after launch

Every automation is monitored post-launch — run frequency, time saved, outcomes produced — to catch failures early.

What would break first if 500 new clients showed up tomorrow?

Book a call and we'll find the clog before we talk about anything else.

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