Voice agents · Prompt architecture · SaaS AI-ification
AI Integration & Agentic Workflows
Most businesses don't need a chatbot — they need AI that actually does things. I help companies move beyond surface-level AI features to functional agentic systems: real-time voice agents that handle calls, LLM architectures that are reliable and cost-controlled, and AI capabilities embedded directly into your existing SaaS product.
What this service includes
- ✓Custom AI voice agents — low-latency, real-time voice systems for customer service or internal ops
- ✓Prompt engineering and LLM application architecture — reliable, secure, and cost-efficient
- ✓SaaS "AI-ification" — integrating AI features into your existing product without a full rebuild
- ✓Agentic workflow design — AI systems that take actions, not just generate text
- ✓AI system evaluation and red-teaming — stress-testing prompts, outputs, and failure modes
- ✓LLM cost optimisation — model selection, caching, and token budgeting strategies
- ✓AI feature scoping for product teams — translating user needs into implementable AI specs
Who this is for
- →SaaS founders who want to add AI features to their product but don't know where to start
- →Companies running legacy software looking to modernise with AI without rebuilding from scratch
- →Operations teams that need AI to handle real tasks — calls, routing, data extraction, escalation
- →Product teams that have tried prompt-based features but keep hitting reliability or cost issues
- →Businesses that want voice AI but need it to be fast, accurate, and production-ready
- →CTOs and technical leads who want an architecture review before committing to an AI stack
My process
See full process →Use-case mapping
We identify the specific AI capability that delivers the most value — not everything at once. I scope tightly: one reliable feature ships faster and teaches more than five half-built ones.
Architecture design
I design the full system: model selection, prompt architecture, tool integrations, fallback logic, and cost model. You see the plan before any code is written.
Build and integrate
Implementation in milestones — connecting the AI layer to your existing product or infrastructure, handling edge cases, and testing against real-world inputs, not just happy paths.
Hardening and handoff
Red-teaming, cost benchmarking, and load testing before go-live. Full documentation, a walkthrough session, and post-launch support so your team can own it long-term.
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Tools & technologies
What clients say
Read all testimonials →[TODO: Replace with real testimonial] The voice AI system Aryan built handles thousands of calls daily with remarkable accuracy. Genuinely impressive work.
Frequently asked questions
Ready to get started?
No pricing on this page — every engagement is scoped to fit your specific needs. Let's start with a conversation.