01 · Services
AI implementation
Hand off the workflows that eat your team's week. Live in week 4. Gets sharper from there.
- Automations
- Reply
- Content
- Ops
- Ads
- SEO
- Commerce
Flows · in plain English
What would you like to take off your plate?
Every business has the same boring loops — invoices, replies, offers, follow-ups. We turn each one into a reliable flow that runs without you. Pick a flow to see it move.
- 01
Manual invoice
You used to type
- 02
Bookkeeping
Auto-coded
- 03
Email paper trail
Sent to file
- 04
Accountant approval
One-click sign-off
What you get
What we actually ship.
- Use-case discovery & ROI scoring — we name the workflows worth automating, in priority order
- Custom AI agents built into your stack — Claude, GPT, or whatever fits the job
- Retrieval on your own data — the model reads your docs, tickets, and CRM
- Quality monitoring so the system doesn't drift — weekly check-ins, written analyst notes
Same day, different shape
Two people, same backlog — one chips, the other ships.
Same fifty-item inbox at 9am. By 5pm, one of them is still on email. The other walked the dog at 11.
Manual workflow
At desk · 9:00 → 17:00
- Triage 38 unread emails
- Approve 12 invoices
- Draft 3 client proposals
- Update CRM after calls
- Review pull requests
- Compose follow-ups
- Schedule next-week meetings
- File expense reports
- Reply to Slack threads
- Compile Friday report
2 of 10 done · 8 spilled into tomorrow
With Mediseo · 1000× faster
In the discovery call
- Triage 38 unread emails
- Approve 12 invoices
- Draft 3 client proposals
- Update CRM after calls
- Review pull requests
- Compose follow-ups
- Schedule next-week meetings
- File expense reports
- Reply to Slack threads
- Compile Friday report
10 of 10 · before second coffee
How it works
From use case to production in 6 weeks.
We don’t do "AI strategy" decks. We pick one workflow, ship it, evaluate it, then pick the next one. Most engagements have something live in week 4.
- 01
Use-case scoring
We sit with your team and score candidate workflows on impact, complexity, and risk. You leave with a numbered list.
- 02
Build & wire
Agents, RAG, custom GPTs, plus the integration into your existing stack. Slack, HubSpot, Zendesk — wherever the work happens.
- 03
Evals & tuning
A persistent eval harness so quality doesn’t drift. Weekly review against the baseline, with a written analyst note.
- 04
Roll & repeat
Workflow #2 starts when #1 is in production and stable. Compounding, not sprawling.
What we ship
Workflows you can have running this quarter.
Concrete examples of what we build. Most are live in 4–6 weeks. We pick the highest-leverage one for you and ship that first.
Customer-support copilot
Reads your knowledge base, your past tickets, and your tone. Drafts replies your team approves with one click. Cuts time-to-first-response by 60–80%.
Claude · RAG · Zendesk / Front
Sales-research agent
Pre-call briefs in 30 seconds: company news, signals, who to mention. Plugs into your CRM so reps walk in informed, not blind.
Claude · web search · HubSpot
Document QA · contracts & SOPs
Ask your contracts and runbooks in plain English. Cite-back so legal trusts the answer. Self-serve where lawyers used to bottleneck.
Claude · vector store · permissions
Inbox triage & smart reply
Sorts incoming emails by intent, drafts replies for the boring 70%, escalates the rest with full context. Two hours back per person, per day.
Gmail / Outlook · n8n · Claude
Creative + content engine
Long-form drafts, ad variants, lifecycle email — written in your voice from your past wins. Humans edit, never start from blank.
Claude · brand profile · CMS
Custom internal copilot
Your data, your tools, one chat. Pulls the report, books the meeting, files the JIRA. The thing every department asks for and nobody has time to build.
Claude · MCP tools · SSO
Featured outcome
“It’s the first piece of AI that didn’t make us spend more time training it than working.”
— Head of Customer Experience, TM Rental
Use case
Score & pick
Agents
Reasoning + tools
RAG
Your knowledge
Evals
Quality stays sharp
In your stack
Live, monitored
Common questions
The objections we usually meet — and how we answer them.
Will the AI be accurate enough for our work?
We don’t deploy and pray. Every workflow ships with a persistent eval harness — a fixed test set we run weekly to catch regressions. If quality drifts, we know before you do. For high-stakes outputs (legal, financial, medical) we add a human-in-the-loop gate by default.
How is our data handled?
Your data stays in your stack unless you opt otherwise. We use enterprise tiers (Claude on Anthropic, Azure OpenAI, AWS Bedrock) with zero-retention contracts. Sensitive workflows can run entirely on infrastructure you control. We sign DPAs.
What if it doesn’t stick after you leave?
Most engagements have something live in week 4 and a second workflow by week 10. The code is yours, the docs are yours, the eval set is yours. We can keep running it on a part-time retainer, or train your team and hand off — your call.
How is this different from "AI strategy" consulting?
We don’t do strategy decks. The first deliverable is a working workflow in production. We pick one high-leverage use case, build it, evaluate it, then pick the next one — instead of mapping a 24-month roadmap that goes stale in 8.
What does it cost?
AI implementation engagements start at €4,500 for a single workflow shipped end-to-end. Larger programmes (3+ workflows, custom apps, ongoing tuning) are scoped against expected savings or revenue, with a fixed delivery price.
Which models do you use?
Whatever fits the job. Claude for reasoning and writing, GPT for breadth, Llama / Qwen for cost-sensitive workloads, custom fine-tunes when the data warrants it. Model-agnostic by design — if a better one ships, you switch in a config change, not a rebuild.
How this compares
The cost of the old way — same workflow, three outcomes.
A real-world look at what happens when you try to wire AI into your stack three different ways.
Time to first workflow live
Status quo
3–6 months of tinkering before anything ships.
Generic agency
8–12 weeks of strategy decks, then a quote.
With Mediseo
First workflow live in week 4. Real users by week 6.
Quality at month 3
Status quo
Drifts. No evals = no way to know what broke.
Generic agency
Looks great in the slide. Brittle in production.
With Mediseo
Monthly eval review with written notes. Drift caught weekly.
What it costs
Status quo
1 senior AI hire ≈ €100K+/year. Plus ramp time.
Generic agency
€15–25K/month retainer + €30K+ setup.
With Mediseo
From €4,500 one-off per workflow + €200/mo tuning.
What happens if you stop
Status quo
System dies when the person who built it leaves.
Generic agency
Project ends. Code is theirs. You start over.
With Mediseo
Code is yours. Evals keep running. You can take it in-house anytime.
Frequently asked questions
What people ask about ai implementation.
Those are tools. We're a team that picks the right tools, wires them into your stack, writes the prompts, builds the evals, and tunes the system every week so it stays good. You can use Zapier OR we use Zapier on your behalf — the shipping and the maintenance are the work.
Further reading
Twenty minutes, your AI potential mapped — for free.
We look at your business, name the workflows AI can take off your plate, and put a price on each. You leave with a one-page map — no deck, no roadshow.