Bring AI copilots, search and automation into your existing product without disrupting customers. Typical timeline: 6–10 weeks. Delivered by senior engineers from Bhubaneswar, Odisha to clients worldwide.
What we cover
AI Copilots
Semantic Search
Workflow Automation
Legacy Integration
A/B Experimentation
What you get
Embedded AI features
Experimentation framework
Integration layer
Adoption metrics
What we build with
OpenAI
Claude
LangChain
Elastic
Temporal
How an engagement looks
Ideate: Problem framing, user research and AI opportunity mapping.
Validate: Technical feasibility, data audit, POC and risk de-risking.
Architect: System design, model choice, infra blueprint and evals plan.
Build: Senior pod ships in weekly increments with demos and tests.
Deploy: Cloud deployment, CI/CD, guardrails and observability.
Scale: Cost, latency and quality optimization as usage grows.
AI-Enabled Product Modernization — FAQ
Can you add AI to my existing product without disrupting customers?
Yes. We embed AI copilots, semantic search and workflow automation into your existing product behind an integration layer and A/B experiments, so you ship AI features to real users without destabilizing what already works.
How do you measure whether the AI features are working?
We instrument adoption and outcome metrics from day one and run an experimentation framework, so every AI feature is judged on real user impact rather than demos.