Agent Architecture
Production-focused agent architecture designed around reliability, usability, security and long-term maintainability.
AI AUTOMATION
AI Automation & Agentic Workflows
Use AI agents, LLMs and workflow automation to understand information, use tools and execute repeatable business processes.
AI agents
RAG
Tool use
Automation
What we build
Practical engineering for production systems.
Delighteck approaches ai automation & agentic workflows as a complete engineering problem. We connect architecture, implementation and real-world operations so the result is useful beyond the prototype.
AI agents
RAG
Tool use
Automation
When you need this
Use this when the system has to work beyond a demo.
You are moving from idea or prototype toward a real product.
Your work crosses hardware, firmware, cloud, mobile, web or AI boundaries.
You need architecture before committing to implementation.
You have an existing product that needs reliability, scale or modernization.
Capabilities
Engineering depth, focused on outcomes.
Knowledge & RAG
Production-focused knowledge & rag designed around reliability, usability, security and long-term maintainability.
Tool Integration
Production-focused tool integration designed around reliability, usability, security and long-term maintainability.
Governance
Production-focused governance designed around reliability, usability, security and long-term maintainability.
Tech stack
Built with the right tools for the product.
We choose the stack around reliability, maintainability, field constraints and long-term ownership.
Bluetooth LEComputer visionLLMsRAGEdge AIPython
Delivery process
A clear path from uncertainty to production.
A practical engineering system with concrete outputs at every stage, so decisions are visible before money and time are locked into the build.
Prototype to production operating model
From fuzzy requirements to a launchable product, without losing engineering context.
Feedback loop
Validation and launch learnings feed the next iteration.
1
Discover
Clarify goals, users, constraints, risks and product stage.
Requirements brief
2
Architect
Define the system shape across hardware, software, cloud, data and AI.
System blueprint
3
Prototype
Build the smallest useful version to validate technical and user assumptions.
Working proof
4
Engineer
Implement production-grade flows, integrations, security and observability.
Production build
5
Validate
Test reliability, edge cases, performance, usability and deployment readiness.
Test report
6
Scale
Support launch, handover, operations and the next product iteration.
Launch support
Common use cases
Where this service typically fits.
AI agents
RAG
Tool use
Automation
Agent Architecture
Knowledge & RAG
Tool Integration
FAQs
Clear answers before you start.
Can Delighteck deliver this end to end?
Yes. Delighteck can combine the relevant product, software, cloud and AI disciplines for ai automation & agentic workflows, depending on the scope.
Can you work with an existing product or codebase?
Yes. We can assess the current architecture, identify gaps and work incrementally rather than requiring a complete rebuild.
How does a project start?
Usually with requirements and architecture discovery, followed by a scoped feasibility, prototype or implementation phase.
Can you support deployment and scale?
Yes. We design with validation, deployment, operations, maintainability and lifecycle needs in mind.
Next step
Discuss Your ProjectShare the problem. We will map the engineering path.
Bring your idea, requirements, prototype or existing system. We will help identify the practical next step.