AI Quick Scan · AI Services

    Before you sink 30k into an AI build — first find out if it's worth it.

    2–3 days together inside your real workflow. Outcome: a concrete build proposal with ROI math and a fixed price — or an honest "not (yet) worth it". Both are good outcomes.

    Book intro call What's inside

    No sales pitch, no PowerPoint — promised.

    What's insideProcess (3 steps)3 stagesFAQ
    2–3
    days across 1–2 weeks
    1
    investment memo to take home
    3
    stages: Scan → Build → Ops
    0
    PowerPoint
    The real risk

    The pain isn't "we don't know what AI can do".

    The pain is: you don't know WHERE AI pays off FOR YOU — and a blindly started build is expensive.

    The alternative is not

    A free consultation call

    You've had enough of those. Roughly: "get in touch once you've approved a budget."

    The alternative is

    A 30k build with no validated use-case

    That's exactly the risk the Quick Scan removes — with numbers, workflow and fixed price, before anyone writes code.

    What the AI Quick Scan is

    No workshop theatre. No strategy deck. A paid, compact decision process.

    Working session on the real workflow

    We work on the real workflow — with the people who run it every day.

    Prioritised use-case map

    Impact × feasibility. What pays off first, what later, what never.

    ROI math for the top use-case

    Hours, payback, risks. A number you can argue with internally.

    Fixed-price build proposal

    Scope, timeline, assumptions — solid enough to turn into a decision.

    Format: 2–3 days spread across 1–2 weeks. Remote or on-site.

    How the scan runs in 3 steps

    No waterfall, no 6-week discovery. Three clearly scoped work blocks.

    1

    Block 1

    Setup & workflow walk

    We walk through the real end-to-end process — with the people who run it every day. First use-case candidates land on the board.

    2

    Block 2

    Prioritisation & ROI

    Use-cases sorted by impact × feasibility. Top case is calculated: hours, payback, risks. Build scope gets concrete.

    3

    Block 3

    Memo & fixed-price proposal

    Investment memo plus fixed-price build proposal. You have a solid basis for a decision — with or without a follow-up project.

    What you walk away with

    One main document in investment-memo style. Usable even without a follow-up project — as a basis for internal or board-level decisions.

    Use-case map (impact × feasibility)

    All identified AI levers in your setup, prioritised by impact and effort. Nothing generic — all mapped to your processes.

    Top use-case fully calculated

    Before/after workflow, hours saved, payback period. So you have a number, not a gut feeling.

    Fixed-price build proposal

    Scope, timeline, risks, clear assumptions — a solid offer you can compare, internally or externally.

    Roadmap

    What comes after the first build: further use-cases, sequence, dependencies. Useful even if you build the rest yourself.

    The honest promise

    If no build holds up at the end, we say so honestly. That's explicitly part of the format.

    Not every pain becomes an AI build. A "not worth it" isn't a lost project — it's a 30k build you're spared.

    Why the risk stays manageable

    monday.com builds AI into the platform. We build what happens in between: the manual work between monday and mail, CRM, reporting, external data. Low delivery risk because it's additive to your existing setup — no platform switch, no migration.

    Three stages, one relationship

    The Quick Scan is the entry point, not the destination. You're free to stop at any stage.

    Entry point

    01 · Quick Scan

    AI Quick Scan

    A paid, compact decision process. 2–3 days, spread over 1–2 weeks. Outcome: investment memo + fixed-price build proposal.

    A small, fixed price — a fraction of what a blindly started build costs.

    • Working session on the real workflow
    • Prioritised use-case map
    • ROI calculation for the top use-case
    • Concrete build proposal
    Book intro call

    02 · Build

    Agent Build

    We build the use-case validated in the Quick Scan. Custom automation between monday and your stack.

    Fixed price. Scope and timeline come straight from the Quick Scan memo.

    • 4–6 weeks build time
    • Clearly defined scope
    • Code ownership stays with you
    • Handover incl. documentation
    Book intro call

    03 · Ops

    Agent Ops Retainer

    Ongoing operations: monitoring, optimisation, small extensions. So the agent doesn't quietly die in month 3.

    Monthly retainer. Scales with what you need.

    • Monitoring & alerts
    • Prompt & logic tuning
    • Small extensions included
    • Clear SLA, no lock-in
    Book intro call

    The classic way

    • ✕Consultant delivers slides with "AI potentials"
    • ✕Use-case picked by hype-term density
    • ✕Build starts with no ROI math
    • ✕In month 4 the CFO asks what it actually delivered
    • ✕30k+ spent, nobody knows if it was worth it

    With AI Quick Scan

    • Workshop on the real workflow, not on slides
    • Use-case prioritised by impact × feasibility
    • Build proposal with ROI and fixed price
    • "Build / don't build" decision backed by numbers
    • If no case holds: an honest stop signal
    Example from our automation work

    Data automation at Leitz Cine

    Not an AI case, but automation — it shows how deeply we tackle "the work between systems".

    Leitz Cine

    Customer and location data was maintained manually between monday.com and the website — error-prone, time-consuming, constantly outdated. Delivered together with our partner Knots.

    0

    manual steps

    < 1 sec.

    until updates are live

    Privacy that holds up to compliance

    DPA incl. subprocessor clause
    Your data is never used for training
    EU data processing on request
    GDPR-compliant processing (SCC / DPF)

    Frequently asked questions

    Honest answers. No marketing fog.

    Let's talk for 20 minutes — then you'll know if the Quick Scan fits.

    No sales pitch, no slides. If AI doesn't (yet) make sense for you, we'll say so — honestly.

    Book intro call

    First coffee is on me.

    Book intro call