Service
AI-Enabled Features
Practical AI inside real products — assistants, automation, and data-informed workflows.
Overview
We add AI where it creates product value: guided workflows, document understanding, recommendations, and automation — integrated into your mobile or web product with clear fallbacks and QA.
What you can expect
- Shipable AI features
- Measurable user value
- Controlled cost and risk
Who it's for
- Product teams adding AI to an existing app
- Founders who need an AI feature without a research science project
- Operations teams automating repetitive knowledge work
What's included
- Use-case discovery and success metrics
- Model/API integration
- Product UI for AI workflows
- Evaluation and failure handling
- Privacy-aware data handling
- QA for non-deterministic features
How we work
Step 1
Frame the job
Define the user job, data available, and what “good” looks like.
Step 2
Prototype
Prove value on a thin slice before wiring production paths.
Step 3
Integrate
Ship into the product with logging, limits, and human fallbacks.
Step 4
Measure
Track quality, cost, and adoption; iterate on prompts and UX.
Engagement models
Fixed-scope feature
One AI capability delivered end-to-end into your product.
Dedicated team
Ongoing AI feature roadmap with product engineering support.
Hourly retainer
Experimentation, evaluation, and iteration support.
Typical first production feature: 4–10 weeks.
Related work
- Summitly
Canadian real estate app: MLS search, AI discovery, home valuation, and mortgage pre-qualification.
- RAASTA - Traffic Alerts
Real-time traffic alerts, community reports, and smart navigation for Pakistan.
- SmartFarm AI
Dairy, livestock, and crop management with carbon credits and AI insights.
FAQ
Do you train custom models?
Usually we integrate proven APIs first. Custom training only when the data and ROI justify it.
How do you keep AI features reliable?
Evaluation sets, guardrails, fallbacks, and QA that treats AI as a product surface — not a demo.
Can AI work offline / on-device?
Sometimes. We choose on-device vs cloud based on latency, privacy, and device constraints.
Who owns the IP?
Your product IP stays yours under the engagement agreement.
Is this separate from mobile/web work?
Often it rides inside a mobile or web engagement. Standalone AI feature work is available too.
Ready to talk scope?
Book a short call — we reply within one business day.