ddyta.ai
/services/integration/services/integration/ai-integration-retrofits
coreSTATUS: ACTIVEIn-house delivery

AI Integration Retrofits

Bolt AI features onto your existing product

Your product already works. We make it smarter. We retrofit AI capabilities — intelligent search, auto-summarization, recommendation engines, content generation — into your existing codebase. No rewrite, no migration, just targeted AI enhancements that deliver immediate value.

OpenAIVercel AI SDKTypeScriptPostgres
// service_overview
Status
Active
Tier
core
Delivery
In-house
Steps
4-phase engagement
/01Capabilities

What we deliver.

Every capability is engineered for production from day one — tested, documented, and ready to deploy.

  • AI-powered search and discovery for existing content
  • Automatic content summarization and tagging
  • Personalized recommendation engines
  • Smart auto-complete and content generation
  • Seamless integration with your existing tech stack
  • Progressive rollout with feature flags
/02Engagement Process

How the engagement runs.

P.01

Codebase Audit

Review your existing app architecture and identify high-impact AI integration points.

P.02

Integration Design

Design the AI layer to fit cleanly into your existing architecture.

P.03

Implementation

Build and integrate AI features with thorough testing.

P.04

Rollout

Deploy with feature flags, monitor performance, and iterate.

/03Deliverables
D.01

AI features integrated into your existing app

D.02

API layer for AI capabilities

D.03

Performance monitoring and analytics

D.04

Technical documentation and team handoff

Ready to put this into action?

Tell us about your project and constraints. We'll respond with a technical point of view.

Get in touch
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