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Humaigne · For Growing Businesses

You built something
real. Now make it
run smarter.

You don't need a data team, a CTO, or a six-month roadmap to start using AI well. You need one clear result, in plain language, fast. That's how we work with growing businesses.

Businesses we've worked with
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Sound familiar?

Every business owner
we talk to says the
same six things.

  • "I know I need AI but I don't know where to start."
    You've sat through demos, read the articles. You're not confused about AI — you're confused about AI for your specific business.
  • "I don't have a tech team to manage this."
    You shouldn't need one. The right AI solution runs with your existing team — not around them.
  • "I'm worried about spending money on something that won't stick."
    Valid. Most AI projects fail because they're built for ideal conditions. We build for the reality of how your business actually operates.
  • "My team is already stretched. I can't give them more to learn."
    Which is exactly why the first question we ask is: what's costing your team the most time right now?
  • "I've been burned by consultants who disappeared after go-live."
    We've heard this more than any other objection. Which is why accountability after delivery is built into every engagement.
  • "My competitors are moving faster and I can't keep up."
    You don't need to do everything they're doing. You need to do one thing better than they expected.

"If you can show me one thing that saves my team three hours a week — I'm in. I don't need a roadmap. I need a result I can point to."

What we hear, every time · From owners who've been burned before
What we do

Three ways we work
with growing businesses.

Depending on where you are — just starting, mid-build, or stuck — we have a specific way in. Every engagement starts with an honest diagnostic before we recommend anything.

01
AI Upskilling

Your team becomes your unfair advantage.

Most businesses don't have an AI problem. They have an AI literacy problem.

Your people already know your business better than any tool ever will. We teach them how to work with AI — not around it. Practical sessions, real workflows, your actual data. No theory. No slides they'll never open again. By the end, your team runs faster without hiring anyone new.

Learn about AI upskilling →
  • ✓ Hands-on sessions tailored to your industry and tools — not generic AI training
  • ✓ Your team learns to prompt, automate, and quality-check AI outputs independently
  • ✓ We stay until the skills stick — not just until the session ends
  • ✓ Builds internal confidence, reduces long-term dependency on external consultants
  • ✓ Works whether your team has zero AI experience or is already experimenting
A note on data readiness
AI learns from your data. If your records are inconsistent across systems, we'll flag it — and tell you exactly what to fix first before upskilling delivers its full value.
02
AI Consultancy & Custom Work

The one thing costing you the most — fixed.

We don't build ten things that sort of work. We find the one thing that actually moves the needle and we build it properly.

We start with a diagnostic — no charge, no pitch deck. We map your workflows, find the friction that's costing you the most time or money, and design an AI solution around it. Custom-built to your systems. Deployed with your team. Iterated until it holds.

See how consultancy works →
  • ✓ Honest diagnostic first — we only recommend what's genuinely worth building
  • ✓ Custom-built to your actual infrastructure — nothing generic, nothing off-the-shelf
  • ✓ First result delivered in weeks, not quarters
  • ✓ We train your team on the solution before we hand it over
  • ✓ Accountable post-deployment — we measure what we said it would do
When we might bring up ERP
If your business data lives in spreadsheets or disconnected apps — AI will produce inconsistent results. In that case, we'll be upfront: a lightweight ERP layer may need to come first.
How it works

No lengthy onboarding.
No six-week discovery.
Just four moves.

We move fast because we've done this before. The diagnostic is free. The first result is visible within weeks.

01
Free diagnostic
One conversation. We map your operations, identify the highest-impact opportunity, and tell you honestly whether AI is the right answer — or if something simpler would do more.
02
Focused proposal
One recommendation. No bloated scope, no retainer package you didn't ask for. A clear solution, a clear timeline, a clear number. You decide if it makes sense.
03
Build and deploy
We build around your systems, not around ideal conditions. Your team is involved from day one — so by go-live, they already know how to use it.
04
Stay for the hard part
We check in at 30, 60, and 90 days. We measure what we said it would do. If something needs adjusting, we adjust it. This doesn't end at go-live.
Real result · Retail SME

From two days
of manual work to
40 minutes.

A regional retail chain was spending 14 hours a week on manual inventory analysis — two people, every Monday and Thursday, reconciling spreadsheets by hand.

We ran a diagnostic, identified the workflow, built one automated review model, and deployed it in three weeks. No new software purchased. No team retraining required.

Industry: Retail · SME · 47 employees
40min
What took 14 hours now takes 40 minutes
21
Days from diagnostic to deployment
68%
Reduction in operational overhead
0
New hires, new software, or retraining required
Before you ask

The questions every
business owner has.
Answered honestly.

"We're too small for this to make sense financially."

The diagnostic is free. The proposal is one clear number with a clear return. If it doesn't make financial sense at your scale, we'll tell you that — and what to come back for when it does.

"My team doesn't have any technical background."

That's the majority of who we work with. We don't train your team on AI theory. We show them how to use one specific thing that makes their specific job easier. That's it.

"What if it works during the project but breaks afterward?"

We stay accountable at 30, 60, and 90 days post-deployment. We measure what we said it would do. If something breaks or underperforms, we fix it. That's in every engagement.

"I've tried AI tools before and they didn't help."

Off-the-shelf AI tools solve generic problems. We build for your specific workflow, your specific data, your specific team. Generic tools fail because they weren't built for how you work.

"Do I need to overhaul my systems first?"

Probably not. We build around what you have. If your data is too inconsistent for AI to work reliably, we'll flag it in the diagnostic and tell you exactly what to address first.

"How long before I see something real?"

For consultancy and custom work: first result within weeks, not quarters. For upskilling: your team will be doing something differently by the end of the first session.