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For small & medium businesses Founder-led · Spain & Germany

AI agent teams that scale your workforce 2–3×.

We design and run teams of specialised AI agents that take real work off your team — lead generation, customer service, research, operations. They start as co-pilots, grow into supervised autonomy, and where it makes sense, run on their own.

Ten years automating SMB workflows in Spain and Germany. Now doing it with agent teams. The first one ships inside four weeks of the discovery call — not the contract.

See how we work

No demo theatre. No 12-month consulting decks. We ship the first agent inside 4 weeks.

Agent teams running for/ / Müller-Becker Logistik· Vannerei & Co. Notariat· Northvalley Outdoor· Garcia & Asociados· Kessler Manufacturing· Patterson Recruiting· Coastline Veterinary Group· Brückner & Hartmann CPAs· Linda Olsen Law· Forterra Industrial· Ondara Wines· Studio Vellucci Architettura· Agent teams running for/ / Müller-Becker Logistik· Vannerei & Co. Notariat· Northvalley Outdoor· Garcia & Asociados· Kessler Manufacturing· Patterson Recruiting· Coastline Veterinary Group· Brückner & Hartmann CPAs· Linda Olsen Law· Forterra Industrial· Ondara Wines· Studio Vellucci Architettura·
02 · The honest curve

It gets slower before it gets faster.

Anyone who tells you AI integration is plug-and-play is selling you something. For the first three months your team gives roughly 20% of their time to integration — so total output dips to around 0.8× before it climbs. We say this upfront because the ones who survive month three are the ones who get the 2–3× later.

0.5× 1.0× 2.0× 3.0× M0 M3 M6 M9 M12 100% Start ≈ 0.8× — the dip 1.5× — mature 2–3× sustained ↓ Investment ↑ Earnings
€0 · No commitment · GDPR · EU data
10years
Automating SMB workflows
Started before "agent" was a marketing word. Spain and Germany since day one.
2–3×
Workforce capacity
Sustained throughput multiplier on workflows we touch — measured, not promised.
4weeks
First agent live
From discovery call to a working agent in production. Not pilot. Not slideshow.
1in 3
Discovery Weeks declined
We turn down the engagement when AI isn't the right fit. The roadmap is still yours.
02 · Approach

How it actually works.
Five steps. No mystery.

Every engagement runs on the same operational spine. Each stage has a fixed deliverable, a fixed price, and an exit point — you can stop after any step and keep what you've paid for.

01
Discovery Week

One week. Three steps. Zero cost. You fill out a 15-minute questionnaire. Within 24 hours we get on a 30-minute call. By end of week one you have a written roadmap — specific workflows ranked by ROI, agent designs sketched, the dip explained. Yours to keep, even if you don't continue.

If we don't see a clear case, we say so on the call. About 1 in 3 Discovery Weeks ends with us telling the founder they're not ready for agent teams yet — and pointing them at the cheaper move first. No deck. No follow-up sequence.

Duration
3 days end-to-end
Cost
€0 — including the 30-min call
You keep
Written opportunity document, ranked & estimated
02
Paid audit

If the free pass shows real potential, we go deep. We sit with the people doing the work, screen-record current processes, map every tool and handoff, and quantify time spent. You get a prioritized roadmap with 6–12 automation candidates, ROI estimates per item, technical requirements, and a recommended sequence.

The roadmap is yours. If you take it to another vendor, that's a fair outcome — though after seven years of doing this it tends not to happen.

Duration
2 weeks
Cost
€2,500 – €6,000 fixed (credited toward MVP)
You keep
Roadmap, ROI model, technical spec — yours to own
03
MVP System (build)

We build the top 2–4 automations from the roadmap. Real integrations into your stack — HubSpot, Pipedrive, Microsoft 365, Notion, Slack, your accounting system, your tickets, your phone tree. We test against real data, fix the edge cases, and run a structured onboarding with your team.

You get written SOPs, a Loom library, and a 14-day adoption check-in. We do not declare a system "done" until it has handled real production load for two weeks without intervention.

Duration
3–6 weeks
Cost
€8,000 – €25,000 fixed
You keep
Working systems, source, SOPs, training — full handover
04
Maintenance & Optimization

Monthly engagement. We monitor performance, fix things when models drift or APIs change, refine prompts, and build the next wave of automations from the roadmap. You get a monthly report with hours saved, errors caught, escalations reviewed, and cost per automation.

Three tiers. Cancel with 30 days' notice. Most clients stay because the marginal value goes up over time, not because they're locked in.

Duration
Month-to-month
Cost
€1,500 – €6,000 / month
You keep
Monthly report, performance dashboard, named operator
05
Expansion

Once the first department runs cleanly, we move to the next. Sales → Operations → Finance → HR. Each new domain reuses the infrastructure we already built — the auth layer, the data plumbing, the human-review patterns.

Marginal cost goes down. Marginal value goes up. By month 12, most retainer clients are running 8–14 automations across two or three departments.

Duration
Rolling, per department
Cost
~60–70% of original MVP per new domain
You keep
A compounding system, not a portfolio of point tools
03 · Cases

What this looks like
in your business.

Eight automations we ship most often. Each one is described as before, after, and the measurable shape of the impact. Switch between them — every panel is taken from a real engagement, anonymized.

04 · Find your fit

Where does it hurt?
A 10-second triage.

Three questions. The output is the two or three automations that map to your situation, with a realistic time-saved range and a sample timeline. It is not a quote, and it is not a quiz that ends in a sales call you didn't ask for.

Output · Personalised match Sales / Lead response / 10–50

For most 10–50 person sales teams with slow inbound response, three automations cover ~80% of the upside.

Realistic recovery: 14–22 hours/week reclaimed across the team. First system live in 3–5 weeks. Typical MVP scope: €10k–€16k.

05 · Honest

What we promise.
What we don't.

Most agencies treat the discovery call as a sales meeting. We treat it as a qualification step in both directions. The page below is the same thing in writing.

+What we promise

  • A Discovery Week that tells you the truth, even when the truth is "don't bother yet."
  • Fixed scope, fixed price on every engagement. No hourly creep, no change-order theatre.
  • Documentation, training, and SOPs your team will actually use, not a 40-page PDF nobody opens.
  • A roadmap you own — including the right to take it elsewhere.
  • A named operator on your account who picks up the phone.

−What we don't

  • We do not promise to "transform" your business in 30 days. That phrase is a red flag.
  • We do not promise to replace headcount. Most of our work makes existing teams faster, not smaller.
  • We do not promise zero errors. AI systems make mistakes; we design the guardrails and the human review points.
  • We are not the cheapest option. We are the option that gets used a year later.
  • We will not run a project where the executive sponsor refuses to give us 4–6 hours of their own time.

Why most companies fail with AI.

  1. They buy a tool before defining a workflow. The tool sits in a tab nobody opens.
  2. They automate the visible thing instead of the expensive thing. Slack notifications get a chatbot; the €40k invoice queue stays manual.
  3. They skip onboarding. The system works; the team doesn't trust it; nobody opens it after week two.
  4. They treat AI as a one-time install instead of a system that needs maintenance. Models drift. APIs change. Prompts decay.
  5. They don't measure. Without baseline numbers, no one can prove the system works — so the budget gets cut at the next quarterly review.
06 · Pricing

Priced by scope.
Not by hour.

You see the cost before we start. Each stage has an exit. The audit fee is fully credited against the MVP if you proceed within 60 days.

Stage 01 Discovery Week
€0
  • 15-minute questionnaire
  • 30-minute discovery call within 24 hours
  • Written roadmap by end of week one
  • 3–5 ranked agent candidates, with rough hour estimates
  • GDPR · EU data residency · yours to keep
No commitment. ~33% of Discovery Weeks end with us declining the project.
Stage 02 Paid Audit
€2.5–6k fixed
  • Workflow mapping with screen recording and shadowing
  • Time-spent quantification per process
  • Prioritised roadmap, 6–12 automations
  • ROI estimates and sequencing logic
  • Technical specifications you can take anywhere
Fully credited toward MVP if you proceed within 60 days.
Stage 03 MVP System
€8–25k fixed
  • 2–4 production automations from the roadmap
  • Full integrations into your stack
  • Real-data testing with edge-case coverage
  • Team onboarding, SOPs, Loom library
  • 30 days of post-launch support, 14-day adoption check-in
Most MVPs land at €12–18k. Scoped before contract.
Stage 04 Maintenance & Optimization
€1.5–6k / month
  • Performance monitoring & uptime
  • Maintenance: model drift, API changes, prompt decay
  • Defined build hours each month for new automations
  • Monthly performance report, hours-saved verified
  • Named operator, response under 4 business hours
Three tiers — Light, Core, Plus. Cancel with 30 days' notice.

Not sure which stage you're at?

The questionnaire surfaces which automations would pay back fastest in your business — and which engagement size that suggests.

Talk to us directly →
07 · Typical journey

From "I'm curious"
to "first system live."

A real timeline. The most common path through our funnel, observed across 184 engagements, with the calendar dates that actually move.

Day 01 Questionnaire 12 questions, 10 minutes. Submitted online.
Day 02 Discovery call 30 minutes. We tell you on the call whether there's a real case.
Day 03 Free insights doc 3–5 ranked opportunities. In writing. Yours to keep.
Week 02 Paid audit roadmap Full workflow map. 6–12 automations sequenced.
Weeks 03–06 First systems live Top 2–4 automations built, integrated, tested, rolled out.
Month 02 Maintenance begins Monitoring, refinement, and the next wave of automations.
Month 06+ Expansion Second department comes online. Compounding returns.
08 · From operators

Operators who've
actually run it.

Anonymised quotes from clients we've worked with for 12 months or longer, edited for length and identifying detail. Full case studies on request, under NDA.

We had three internal Slack channels named "AI ideas" before Hi-Ai walked in. Eighteen months later we have four shipped systems, none of those channels exist, and the finance team doesn't process invoices on Fridays anymore.

M.K. COO · 90-person logistics firm, NRW

I appreciated that they told me on the discovery call we shouldn't start. Six months later our CRM was clean enough that we did, and that engagement has paid for itself eleven times over.

L.G. Managing Partner · Professional services, Madrid

The thing I didn't expect was the SOPs. The automation works, fine — but the documentation they leave behind is the cleanest operational paper trail anyone has ever delivered to my company.

A.B. CEO · 140-person manufacturer, Tuscany
09 · Discovery prep

Score your fit
before the call.

Thirteen questions. About four minutes. The output is a ranked match — which of our thirteen automation strategies fit your situation best, with a percentage score, an estimated weekly recovery range, and a suggested first MVP scope.

What you get

A scored, ranked roadmap — in your inbox, before we ever speak.

The questionnaire runs the same triage we run on the discovery call. You answer at your own pace, the engine scores your answers against thirteen automation strategies, and the top five appear with their fit percentage and the workflow they'd replace.

It is not a quiz, and it is not a quote. It is the prep document that makes the discovery call actually useful — instead of repeating context, we walk straight into the top three matches with your numbers in hand.

~4 min · 13 questions · Saves your progress

Book your Discovery Week.
One week. Three steps. Zero cost.

Fifteen-minute questionnaire. A 30-minute discovery call within 24 hours. A written roadmap by end of week one — specific workflows, ranked by ROI, yours to keep whether you continue with us or not. No deck. No follow-up sequence. If we don't see a case, we tell you on the call.

hello@hi-ai.studio

€0 · No commitment · GDPR · EU data residency

09 · Field notes

Field notes.
Operator-grade reading.

Long-form write-ups from real engagements, anonymised. We publish roughly twice a month — only when there's something worth publishing.

Apr 202617 min read

The €40,000 question: how to calculate whether an AI automation is actually worth building.

A line-by-line ROI model — labour cost, error cost, opportunity cost, decay — used internally on every project we accept.

Read the piece
Mar 202611 min read

Why your last AI tool got abandoned in 30 days — and the four onboarding moves that fix it.

Adoption is not a training problem. It is an interface, incentive, and trust problem. Here's the playbook.

Read the piece
Mar 202614 min read

Lead response time benchmarks for SMBs in 2026: what's normal, what's possible, what it costs you.

Anonymised data from 41 engagements. The median is worse than you think; the top decile is closer than you think.

Read the piece
Feb 202622 min read

A line-by-line breakdown of an internal knowledge assistant we built for a 40-person professional services firm.

Architecture, sources, permissions, citation rules, evaluation harness, and the seven failure modes we caught before launch.

Read the piece
Feb 20269 min read

The five workflows we automate first in almost every SMB — and the three we deliberately leave alone.

Pattern recognition from 184 engagements. Some workflows look automatable but aren't. Some look small but compound.

Read the piece
Jan 202613 min read

The "human-in-the-loop" pattern, properly. A reference architecture for AI systems your compliance team can sign off on.

When to escalate, who to escalate to, what they see, what they don't, and how to keep the model from drifting around the gate.

Read the piece