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AI / AI Agent / ML Integration

Put AI where it makes a difference.

Overview

Put AI where it makes a difference.

AI should be evaluated by work outcomes, not a demo alone. We define tasks, prepare data, create evaluation cases, and set boundaries for automated actions. Important decisions can be routed to a person for review.

  • AI agents & task automation
  • Permissions, testing & monitoring
  • RAG & internal knowledge assistants
  • Recommendations / personalization
  • Image recognition & processing
  • Data-driven evaluation & monitoring
Discuss your project
Deliverables

What will you receive?

AI integration, evaluation cases, data-update guidance, and usage monitoring.

Delivery approach

From requirements to operations

  1. 01

    Define requirements

    Clarify goals, users, and problems to solve. Agree on scope before building.

    Scope & acceptance criteria
  2. 02

    Analyze & design

    Design user flows, data structures, and an appropriate technical approach.

    Architecture & UI/UX design
  3. 03

    Build the product

    Build reviewable increments, collect feedback, and adjust early.

    Milestone demos
  4. 04

    Test & evaluate

    Verify core flows, layouts across devices, and error scenarios.

    Test results
  5. 05

    Finalize & hand over

    Package the product and documentation for adoption and continued development.

    Source code & documentation
  6. 06

    Deploy & train

    Deploy to the real environment, guide users, and monitor initial operations.

    Launch & user guidance
  7. 07

    Operate & improve

    Gather feedback, address issues, and prioritize improvements that help users.

    Monitoring & ongoing development
09Q&A

Frequently asked questions

Have another question? Tell us what is on your mind.

Yes. Share your goals and current challenges. We start by clarifying the problem, users, and an appropriate scope before selecting technology.

Scope and acceptance criteria are agreed at the start. Work is divided into milestones with demos so you can review progress, provide feedback, and verify outcomes.

A product partnership involves shaping and building a product together under a specific agreement. Outsourcing focuses on delivering an agreed scope or adding capacity to your plan.

Access scope, required data, and security requirements are clarified before implementation. NDAs, ownership, and handover procedures are agreed in the project contract.

We can start with a small task when suitable data access or APIs are available. We assess the existing system and test a real workflow before proposing an expansion.
Contact

Ready to get started
with Reno AI?

Tell us a little about your challenge – we will respond and suggest a suitable approach, usually within 24 hours.

huunghiaish@gmail.com0393364368