Ermada Group
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AI and Automation

We connect AI to business systems with source, data-policy, human-approval and measurable workflow boundaries.

From business problem to production system.

Discovery, scope, data contracts, security, user experience, development, integration, testing and release are planned as one delivery lifecycle.

  • AI assistants and knowledge bases
  • RAG and source-grounded answers
  • Document, meeting and data processing
  • Evaluation and agent policies

Delivery process

A controlled production lifecycle.

  1. 1Discovery and goals
  2. 2Product scope
  3. 3Experience and architecture
  4. 4Development and integration
  5. 5Testing and release
  6. 6Continuous improvement

Technology and quality

Production boundaries are planned from the start.

  • Bun
  • ElysiaJS
  • TypeScript
  • React 19
  • Vite
  • Astro
  • Tailwind CSS 4
  • Flutter
How does a AI and Automation engagement begin?

Goals, users, existing systems, data ownership and success criteria are clarified during discovery.

How are provider or customer-account requirements handled?

External accounts, contracts, secrets and technical fit are made explicit in scope. An unverified integration is never presented as ready.

Let’s build technology that works for your business.

Tell us the problem, current systems and target. We will define a practical first step together.

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