Your operations run on manual work.
You don't know which part AI should fix first.
The AI Readiness Scan maps your workflows, finds the bottleneck that's costing you the most, and tells you exactly where AI fits. And where it doesn't.
Book a 30-minute intro callThe real problem isn't AI. It's knowing what to fix first.
Your office manager types invoice data into the ERP by hand. Your sales lead hasn't updated the pipeline in three weeks. Someone quoted a prospect last Tuesday and nobody followed up.
You've heard about AI. You might have tried ChatGPT for a few things. But nothing changed how your team actually works.
Then something happens. Your best ops person announces they're leaving and you realize half the process lives in their head. A competitor launches an “AI-powered” service and your CEO asks what you're doing about it. You sit down to build next year's plan and realize every improvement on the list needs headcount you can't afford to hire.
Now it's urgent. But you still don't know which problem is the most expensive one. And every vendor you talk to tells you their tool is the answer, without asking how your team actually works.
The operational problems we find most often
Leads come in. Nobody calls back fast enough.
You spend money on ads or referrals to generate leads. But your team takes hours, sometimes days, to respond. By then, the prospect has moved on.
A study by James Oldroyd at MIT found that contacting a lead within 5 minutes makes you 9x more likely to convert them. After 30 minutes, your odds drop by 21x.
A services company spending €4,000/month on lead generation, getting 80 leads. Current close rate: 12%. With automated first response under 5 minutes and instant routing: close rate rises to 22%. That is 8 extra clients per month from the same ad spend.
Someone is retyping data from documents into your system.
Invoices, order forms, delivery notes, inspection reports. Someone on your team is reading these and entering the data by hand. It is slow, repetitive, and full of small errors that cause bigger problems downstream.
McKinsey Global Institute estimates that 60% of all occupations have at least 30% of activities that could be automated, with manual data entry among the highest-impact targets.
A wholesale distributor processing 200 supplier invoices per week. At 12 minutes each, that is 40 hours/week of manual entry, roughly €62,000/year. Automated extraction cuts handling to 2 minutes per document for review only. Annual saving: over €50,000, plus fewer pricing and inventory errors.
Your team follows up once. Maybe twice. Then the lead goes cold.
After a first meeting, a quote, or an event, follow-up depends on someone remembering to send an email. Most of the time it does not happen consistently. The leads that needed a third or fourth touch never get it.
Research on B2B sales cycles consistently shows that 80% of deals require at least five follow-up contacts, but 44% of salespeople give up after a single attempt.
A B2B services firm sends 50 proposals per quarter. With manual follow-up, conversion is 8%. An automated multi-touch sequence, email, reminder, check-in at day 3, 7, 14, 30, lifts conversion to 15%. On an average deal size of €6,000, that is €21,000 extra per quarter from proposals already sent.
You have years of contacts in your CRM. Nobody is doing anything with them.
Past customers, old quotes, lapsed contracts. They are sitting in your system. Reaching out manually feels like too much work, so nobody does it. Meanwhile, these people already know you.
Bain & Company research shows that increasing customer retention by just 5% can increase profits by 25 to 95%. Re-engaging existing contacts costs a fraction of acquiring new ones.
A technical services company with 2,500 past clients in their CRM. A targeted reactivation campaign reaches out with a relevant, personalized message. At a 3% reactivation rate, that is 75 returning clients. At an average project value of €1,200, that is €90,000 in recovered revenue from contacts you already had.
Every Monday someone spends half the morning pulling numbers together.
Status reports, order summaries, weekly updates for the team or for clients. The data exists across your tools, but compiling it is manual. So it either takes too long, goes out late, or does not happen at all.
Deloitte’s research on business process automation found that companies automating routine reporting reduce manual effort by up to 70% while improving data accuracy.
A construction company compiles daily crew schedules from phone orders and emails. It takes 45 minutes every morning and errors cause scheduling conflicts costing roughly €3,000/month in rework. Automated extraction and formatting cuts the morning bottleneck and reduces error costs by 80%.
These are the five patterns we see in almost every Scan. Your version will be specific to your operations, your team, and your numbers.
What this is not
This is not a tool demo. Nobody here is selling a platform. If you've sat through vendor pitches where the answer was always their product, this works differently.
The Scan looks at how your team actually works. Not at what software you could buy. If AI doesn't make sense for your situation, you'll hear that in the report. Not a pitch for the next engagement.
This is also not a course on AI or a strategy deck you'll never open. It's a structured assessment by someone who's spent 20 years in operations, now applied to AI. You get a clear answer, not more homework.
This is not an IT service. We don't touch infrastructure, networks, or support. The focus is AI assessment and the operational process around it.
The AI Readiness Scan
A structured diagnostic that tells you where AI fits your operations and where it doesn't. Fixed fee, clear deliverables, no ongoing commitment.
1. Two focused half-day sessions.
We map your core workflows together, identify the problem worth solving first, assess where AI realistically fits your operations, and determine what needs to change in your process to make it work.
2. A written report.
Process map, analysis of the core problem, honest AI assessment, and a scoped proposal for the next step. 4 to 5 pages, no filler.
3. A 60-minute findings presentation.
We walk through the results together, answer your questions, and you leave with a clear picture of where to focus first.
€3,500 fixed fee. Report delivered within one week of your second session.
What you leave with
- Validation of your assumption, or a better one based on what we find together
- A clear view of which operational problem is worth solving first
- An honest assessment of where AI adds value and where it doesn't justify the cost
- A concrete picture of what needs to change in your process to make AI work (e.g., human-in-the-loop steps, handoff redesign, data flows)
- A concrete picture of the cost: time, headcount, missed opportunities
- A Build proposal in hand if there's a clear next step worth taking
For context: a general management consultancy charges €10,000–40,000 for a comparable diagnostic. A wrong AI vendor investment costs €15,000–25,000 and months of wasted effort. The Scan exists so you don't make either mistake.
How an engagement works
The Scan is the starting point, not a one-off report. Each step only happens if the previous one shows it's worth doing.
Intro call
A 30-minute conversation to see if the Scan makes sense for your situation. No pitch. You describe what's going on. I ask questions. We figure out together if this is the right next step.
AI Readiness Scan
Two half-day sessions to map your workflows, find the primary bottleneck, assess where AI fits, and show what needs to change in your process to make it work. You receive a written report with findings and a scoped Build proposal.
AI Solution Build
Design and implementation of the solution identified in the Scan. Acceptance criteria agreed in writing before work starts. If the deliverable doesn't meet those criteria, work continues until it does. No extra fee. Delivered over 6 to 10 weeks.
Ongoing support
A standing partner for AI decisions. Monthly session, async support within 48 hours, quarterly priority review. Available after the Build, no obligation.
You decide at every stage. No lock-in, no pressure.
Transparent pricing
Map your workflows, find the problem worth solving first, assess where AI fits, and show what needs to change to make it work
Build and deliver a working solution. Acceptance criteria agreed in writing before work starts. If it doesn't meet criteria, work continues at no extra cost.
Monthly session, async support, quarterly review. A standing partner for ongoing AI decisions.
You only move to the next step if the previous one proved its value. No bundles, no long-term commitments.
About
I'm tool-agnostic. If the numbers don't justify automation, I'll tell you that. If your process needs to change before AI can work, that's what the report will say. I have no product to sell and no platform to push.
I'm Andreas Oszkiel. I've spent 20+ years running operations at companies across Europe and the US. Media education facilities across four cities: 500 students, 100 staff, campuses built from scratch. A Gates Foundation nonprofit: three research programs, ISO 27001, GDPR compliance. An IoT company: 550 sensors across six countries. A B2B AI company with 28 Fortune 500 accounts.
The problems were always the same: disconnected tools, manual processes that nobody had time to fix, and decisions made on gut feeling because the data lived in someone's head.
Today my entire working day revolves around AI and automation. Not the vendor pitch version. The version where you look at how a team actually works, find the bottleneck that costs the most, and figure out whether technology can realistically fix it.
I built Zefram because most companies don't need another tool demo. They need someone who understands operations first and technology second. The starting point is always the same: map the process, find the real problem, give an honest answer.
See if the Scan makes sense for you
Book a 30-minute intro call. No pitch, no demo, no prep needed on your end.
- You describe your situation. I ask questions about your operations, your team, and what's been frustrating you.
- I give you an honest first take on whether the Scan is the right next step, or whether something else makes more sense.
- You leave with clarity on what to do next, whether or not we work together.