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AWS Premier Tier Services Partner
one of 93 in the US, of 130,000 worldwide

AWS Migration and Modernization Competency AWS AI Services Competency

One day from AI-built app
to a production plan on AWS.

Building it was never the hard part; running it is. The Vibe to Production Workshop audits the app you built with AI tools, designs its landing on AWS and costs the move. Most audits end with a PDF and a goodbye; you leave with the urgent fixes under way.

What the demo didn't show

AI tools put things where they're easy, not where they're safe: database keys in the browser, tables with no access rules, storage left open. Each is one setting, and gaps like these have already leaked real user data.

One booking app's findings, ranked by risk.

Example
  1. CriticalA database key in the browserFixed
  2. CriticalBookings readable with that keyFixed
  3. CriticalPatients' letters in open storageStarted
  4. HighThe AI tool can reach the live databaseStarted
  5. HighNo backup ever restoredPlanned
2

fixed before the day ended

What the day leaves you with

Not every app should move: if yours is three settings away from safe, we'll say so on day one, even when the answer isn't a project for us.

  • Morning

    We find what's open.

    • Keys, tables and storage, scanned read-only
    • The urgent fixes, started with you: keys out of the browser and rotated
    • What breaks first at ten times the users
  • Afternoon

    We design the landing.

    • Your AWS account, sized to the app
    • AI tools kept out of production, with separate dev, staging and prod
    • Model calls behind an API on Amazon Bedrock
  • End of day

    A costed plan your team owns.

    • Findings ranked by risk
    • A phased move, no downtime at cutover, AWS funding mapped to each phase
    • Answers for your buyer's security questionnaire
Ours, the engineers who'd do the work
Solutions architectEngineerAI agents
Yours, who built it and who'll own it
FoundersEngineersSecurity lead

More than 500 AWS customer launches
1,300+ engineers

Unbundle the backend, one service at a time.

An AI-built app is often several services in a trench coat. We pin what each one does in specs and tests, then run old and new side by side until the new one is proven, and your users notice nothing.

The same booking app's move, week by week.

Example
6 of 6

in your AWS account by week 8

2,400 patients kept booking throughout

Services first, the database last.Postgres moves once nothing else depends on it.

Keep the AI, put it on rails.Over a quarter, business logic moves into a tested API, and your AI tools ship through tests, scans and review gates.

From demo day to due diligence.Encryption, audit logs, least privilege and tested recovery: the evidence a SOC 2 or HIPAA auditor asks for.

What it has done for clients

A U.S. heavy-equipment dealer Minutes

to set up a new dealer on its platform, down from days

BeforeAfter
Virgil 10×

the scale, to 600,000+ daily users at peak, with search 60% faster

BeforeAfter
Pixis 48%

lower compute cost, every workload right-sized, with 99.996% uptime throughout

BeforeAfter

DigitalStrike zero cross-tenant exposure; uptime up from 95% to 99.9%Comic Relief 500/s, zero downtimeAn executive search firm zero disruption when its vendor shut down

Book the Vibe to Production Workshop.

  • One day on your own app, with our engineers
  • Free: AWS funding typically covers it
  • Bring whoever built it and whoever will own it
  • Urgent fixes started and a costed plan, yours to keep

Scan to book
hello@armakuni.com
or ask your AWS account team