Service 08 · AI Integration
AI Integration & Automation in Vadodara
Useful AI features, grounded in your data and designed around real workflows. Delivered by AMPDUO Studio from Vadodara for clients across India and worldwide.
01What it is
What is ai integration?
Design and engineering of AI-powered features — assistants, document processing, search and automation — with attention to reliability, privacy and human oversight.
02Who it is for
Who it is for.
- Product teams exploring AI features
- Operations teams with document-heavy workflows
- Organizations that need AI with guardrails
03What we deliver
What we deliver.
- 01Use-case assessment
- 02Prototype
- 03Retrieval and data pipelines
- 04Evaluation framework
- 05Production integration
- 06Monitoring
04Engagement
How an engagement works.
- Typical engagement
- 4–8 weeks from assessment to a production-ready feature.
- Outcome
- AI that solves a defined problem, with measurable quality and clear limits.
- Technology
A process built for clarity, not ceremony.
Six stages, each with concrete outputs. You always know where the project stands, what comes next, and why.
- 01
Discover
We learn the business, the users and the constraints. Assumptions get written down so they can be tested.
- Stakeholder interviews
- User research
- Technical audit
- 02
Define
We turn what we learned into a scope: the problems worth solving, success measures and a realistic plan.
- Product requirements
- Roadmap
- Architecture outline
- 03
Design
Flows, prototypes and interfaces — tested with users and reviewed by engineers before they are final.
- User flows
- Prototypes
- Design system
- 04
Build
Iterative engineering in short cycles, with working software to review every sprint — not a big reveal at the end.
- Sprint demos
- Typed, tested code
- CI/CD pipeline
- 05
Validate
Accessibility, performance, security and usability checks against the standards agreed in Define.
- Accessibility testing
- Performance audit
- QA sign-off
- 06
Launch
A planned release, monitored in production, followed by measurement and the next round of improvements.
- Release plan
- Monitoring
- Handover & support
AI Integration: common questions.
Assistants grounded in your own data, document processing and extraction, intelligent search and workflow automation — each scoped to a defined problem with measurable quality.
We build evaluation sets before launch, keep humans in the loop where decisions matter, add guardrails and monitoring, and design clear fallbacks for when the AI is uncertain.
Have something worth building?
Tell us what you're working on. We'll help turn the idea into a product people can trust.