Your company’s safe passage to being AI‑native.

Our engineers find where AI saves you time and money, build the fixes with your people, and prove it.

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You bought AI. Nobody knows where it pays.

Staff who fear for their jobs don’t say how the work is really done. So every AI plan starts from wrong answers.

  • “We use AI.” Mostly to rewrite emails.

  • “We hired consultants.” Slow, and they talk only to managers.

40% of employees worry about losing their job to AI. In 2024, it was 28%.

Mercer, Global Talent Trends 2026 (opens in a new tab)

Audit. Build. Grow.

The audit is the door. Each round proves its savings before you buy the next one.

  1. Audit

    About 4 weeks

    shipdock.ai, our audit app, maps where time and money go, and where agents can work.

    Result: A roadmap of 3 to 7 fixes and paid AI roles to fill.

  2. Build

    2 to 3 months

    Our engineers build each fix, an AI system or an automation, with your AI Heroes.

    Result: Proven savings.

  3. Grow

    Monthly

    New audits, proof reports, support and AI training.

    Result: The next round.

Everything we build is yours.

Every fix, agent and connection runs on your servers and in your accounts.

No license fees.

Everyone on board wins.

Your company is the ship. It becomes AI-native when your people, management and SHIPdock all come out ahead.

The deal, drawn as your company’s ship. Your company drawn as a ship, seen from above. Regular people are on deck and regular management is on the bridge. SHIPdock comes alongside in a small, AI-ready vessel. White lines are trust: SHIPdock brings management its method, and the owner gives your people a signed promise. Green lines are money: pay for paid AI roles goes to your people, savings from AI systems and automations go to management, and a fee for proven savings goes to SHIPdock. A few of your people take the paid AI roles as AI Heroes and AI Champions; their marks are purple. In the end your people and management are AI-ready, and your company is AI-native. AI SYSTEMS AUTOMATIONS YOUR COMPANY · AI-NATIVE Management REGULAR AI-READY AI HEROES + AI CHAMPIONS Your people REGULAR AI-READY SHIPdock AI-READY METHOD PROMISE PAY SAVINGS FEE The deal, drawn as your company’s ship. Your company drawn as a ship, seen from above. Regular people are on deck and regular management is on the bridge. SHIPdock comes alongside in a small, AI-ready vessel. White lines are trust: SHIPdock brings management its method, and the owner gives your people a signed promise. Green lines are money: pay for paid AI roles goes to your people, savings from AI systems and automations go to management, and a fee for proven savings goes to SHIPdock. A few of your people take the paid AI roles as AI Heroes and AI Champions; their marks are purple. In the end your people and management are AI-ready, and your company is AI-native. AI SYSTEMS AUTOMATIONS YOUR COMPANY · AI-NATIVE Management REGULAR AI-READY AI HEROES AI CHAMPIONS Your people REGULAR AI-READY SHIPdock AI-READY METHOD PROMISE PAY SAVINGS FEE
  • Trust
  • Money
  1. Today Regular people on deck, regular management on the bridge.
  2. Alongside SHIPdock arrives: small, AI-ready, here to help.
  3. Trust first Our method. The owner’s signed promise. Paid AI roles.
  4. AI-ready Your people first, some as AI Heroes and AI Champions. Then management.
  5. AI-native AI systems and automations, built together. Every side gets paid.

Management

Savings from AI systems and automations.

Staff on board, not pushing back.

SHIPdock

A fee for proven savings.

Honest data, so the savings are real.

Trust before data.

Nothing is tracked until the owner has made promises people can hold them to.

The launch lock

  1. The owner’s 2 to 3 minute video

  2. What we collect, and never collect

    • What people type
    • Webcam or microphone
    • Private emails or chats
    • Scores or rankings of people
    • One person’s data, shown to their manager
  3. The promise, signed by the owner

    shipdock.ai never says “your job is safe.” It shows only what the owner signed.

  4. Paid AI roles, with real pay

  5. Rewards, with real amounts

  6. NDA signed, privacy notice approved, employee rep review done

Tracking unlocked

Work, not people.

  • Recorded only while a job runs.
  • Results only for groups of 5 or more.
  • Your data is yours: see, correct, download, delete.
  • Under NDA, stored in the EU.
  • Run data deleted 90 days after the audit.

15% to 55% of employees feel positive about AI when leadership clearly supports it.

BCG, AI at Work 2025

New paid AI roles, inside your company.

We find the right people in your teams and help you create paid AI roles for them.

Anyone can apply. People choose who gets each role; shipdock.ai never ranks applicants.

AI Champion

New paid role in every team

Work
Helps colleagues use AI and the new systems.
Pay
Monthly allowance on top of salary.
Time
2 to 4 protected hours a week.

AI Hero

New paid role that owns one AI system

Work
Builds it with our FDE, from idea to proof.
Pay
Role pay while building, results bonus once proven.
Path
Permanent AI job offer after 1 or 2 proven systems.

63% of employees would trade a 10% raise for chances to build AI skills.

Mercer, Global Talent Trends 2026

Can AI agents actually work in your apps?

Only in apps they can connect to. A costly job inside a closed app is much harder to fix. So every app gets a connection check.

Illustrative app connection map AI agents at the center. Agent-ready: Gmail, 41 hours of work a week; Outlook, 23; Pipedrive, 22; Xero, 37; Google Sheets, 17. API-friendly: Excel, 24; a delivery system, 18. Export only: a warehouse app, 26; payroll, 6. Closed: a legacy ERP, 33. AI AGENTS DELIVERY SYSTEM18 H/WKDELIVERYSYSTEM WAREHOUSE APP26 H/WKWAREHOUSEAPP PAYROLL6 H/WKPAYROLL LEGACY ERP33 H/WKLEGACY ERP
Illustrative map. Your audit produces the real one.
Agent-ready
Has MCP, a standard plug for AI agents. They start right away.
API-friendly
Has an API, but no MCP. Our FDE builds the connection first.
Export only
Data leaves only as files. Fixes are half‑automatic.
Closed
No API, no export. Often the best fix: a more open app.

One audit, week by week.

Follow one example company from setup to a proven fix: who goes first, what gets timed, and who gets paid.

Example: names, times and numbers are made up.

  1. Week 0, setup

    Nobody times anything yet.

    An admin sets up teams, people, costs and apps with our FDE. Every app gets a connection check.

  2. Week 1, trust

    Mike, the owner, goes first.

    He records a 2 to 3 minute video, signs the promise, and publishes paid AI roles and rewards.

    • Launch lock6 of 6 done · tracking unlocked
  3. Weeks 2 to 3, tracking

    Each team times its own jobs.

    Sarah, an accountant, times “Enter supplier invoices”: 9:02 to 9:39, minus 12 minutes away, is 25 minutes.

    • SalesJake, price offer · 41 min, 23 app switches
    • SupportLisa, delivery questions · 14 in 52 min
  4. Week 4, results and roadmap

    The roadmap names the fixes, and the people.

    Sarah applies to be the AI Hero for supplier invoices. Mike picks her: role pay while she builds, a bonus once proven.

    • AI HeroEmily, offer drafter
    • AI ChampionJake, Sales
  5. Weeks 5 to 12, fix and prove

    The fix goes live.

    Sarah builds an invoice reader with our FDE, and the 4 people who do the job time it again. Lisa’s 14 questions now take about 20 minutes.

    • Per run25 → 9 min
    • Per year≈ 245 h · ≈ 5,900 EUR
  6. After the audit, proven

    Proven. Then the next round.

    After her second proven fix, Sarah is offered a permanent role.

    • BonusApproved by Mike
    • OfferAI Operations Lead

Proof, not decks.

Your audit runs are the baseline. After a fix goes live, the same people time the same job again. The difference is the proof.

Saved per run

16 min

Saved per year

245 hours

Worth per year

≈5,900 EUR

The field shows the job’s 383 hours a year before the fix: 138 hours remain after it and 245 hours are saved.

Minutes per run

(25 − 9) min × 5 runs × 4 people × 46 working weeks ≈ 245 h245 h × 24 EUR ≈ 5,900 EUR

Illustrative numbers from our method, not a client result. Your baseline comes from your own audit.

The people who come aboard.

Three engagement leads. Two are also forward deployed engineers, who run your audit, build fixes with your AI Heroes and train your AI Champions.

  • Portrait of Edvarts Gaigals

    Edvarts Gaigals

    Engagement lead · FDE

  • Portrait of Davids Petuhovs

    Davids Petuhovs

    Engagement lead · FDE

  • Portrait of Dan Rutman

    Dan Rutman

    Engagement lead

Start with an audit.

Tell us about your company and pick what the audit should answer first. Every price is individual, based on your industry, size and revenue.

3 of 5 companies filledLimited intake

What should the audit answer first?

Pick up to three.