AI Solutions

We design and ship production AI solutions for Mumbai and global teams | intelligent assistants, document automation, RAG knowledge bases and workflow agents that cut operational cost without sacrificing trust or control. Demos are easy; reliable systems with evaluation, guardrails and handoff are the bar we hold.

Capabilities

Deliverables

Process

  1. Diagnose: Map high-ROI workflows, data readiness, risk constraints and success metrics before any model is chosen.
  2. Prototype: Thin vertical slices with real data | prompt chains, retrieval quality and UX patterns validated with operators.
  3. Harden: Guardrails, fallbacks, latency budgets, observability and human-in-the-loop controls for production trust.
  4. Scale: Deploy, measure accuracy and cost, then iterate on retrieval, prompts and product surfaces with clear KPIs.

How this works

Who this is for

Operators drowning in repetitive document work, product teams adding AI features to an existing app, and organisations that need private knowledge retrieval | not another chatbot toy.

Engagement shape

Diagnose → prototype → harden → scale. We start with a thin vertical slice on real data, then add guardrails, logging and human-in-the-loop controls before production traffic.

Models with accountability

OpenAI, Anthropic or open-source models as the brief requires. Success is measured with evaluation harnesses, latency budgets and cost | not prompt screenshots.

Related case studies

Frequently asked questions

What AI solutions does ZiyadX build?
Custom assistants, RAG knowledge bases, document automation, intelligent search and AI-powered product features | designed for reliability, not demos. We work with OpenAI, Anthropic and open-source models as the brief requires.
Can ZiyadX integrate AI into an existing product?
Yes. We audit your product and data, design the AI surface, integrate via APIs, and ship with evaluation metrics, logging and safe fallbacks so the feature earns trust in production.
Do you build AI solutions for companies in Mumbai and India?
Yes. ZiyadX is based in Mumbai and delivers AI solutions for startups and enterprises across India and worldwide, including remote engagements with US, UK, UAE and European teams.
How do you keep AI features trustworthy?
Evaluation harnesses, retrieval quality checks, guardrails, fallbacks, observability and human-in-the-loop controls where the risk requires it.
Do you need our data to be perfectly clean first?
No. We assess data readiness early, prototype on the densest real cases, and define the minimum cleanup needed for a reliable first release.
What does an AI engagement typically include?
Feasibility brief, architecture, production feature or workflow, evaluation metrics and an ops runbook so your team can operate what we ship.

All services · View work · Insights · Contact ZiyadX

Service
AI Solutions
Agent Graph● live
Ingest
Retrieve
Reason
Act
Guard
inference.logok

> load corpus · 12.4k chunks

> embed · cosine top-k = 8

> tool: search_kb()

> draft · confidence 0.91

> guardrail pass · ship

AI Solutions

AI Solutions

We design and ship production AI solutions for Mumbai and global teams | intelligent assistants, document automation, RAG knowledge bases and workflow agents that cut operational cost without sacrificing trust or control. Demos are easy; reliable systems with evaluation, guardrails and handoff are the bar we hold.

Capabilities

  • Custom GPT / LLM assistants
  • RAG knowledge systems
  • Document & process automation
  • AI product UX & evaluation
  • API & model orchestration
  • Privacy, guardrails & monitoring

Deliverables

  • AI opportunity & feasibility brief
  • Prompt / agent architecture
  • Production-ready AI feature or product
  • Evaluation harness & quality metrics
  • Ops runbook and handoff
Depth

How this works.

Section | 01

Who this is for

Operators drowning in repetitive document work, product teams adding AI features to an existing app, and organisations that need private knowledge retrieval | not another chatbot toy.

Section | 02

Engagement shape

Diagnose → prototype → harden → scale. We start with a thin vertical slice on real data, then add guardrails, logging and human-in-the-loop controls before production traffic.

Section | 03

Models with accountability

OpenAI, Anthropic or open-source models as the brief requires. Success is measured with evaluation harnesses, latency budgets and cost | not prompt screenshots.

Process

How we ship.

  1. 01

    Diagnose

    Map high-ROI workflows, data readiness, risk constraints and success metrics before any model is chosen.

  2. 02

    Prototype

    Thin vertical slices with real data | prompt chains, retrieval quality and UX patterns validated with operators.

  3. 03

    Harden

    Guardrails, fallbacks, latency budgets, observability and human-in-the-loop controls for production trust.

  4. 04

    Scale

    Deploy, measure accuracy and cost, then iterate on retrieval, prompts and product surfaces with clear KPIs.

Related Work

Case studies.

View all work
Next step

Ready to brief us?

Share your product, brand or platform brief. We reply within one business day from Mumbai with next steps for ai solutions.

FAQ

AI Solutions | FAQ

Hiring ZiyadX for ai solutions in Mumbai and worldwide.

Questions | Read All06 / 06
Question | 01What AI solutions does ZiyadX build?

Custom assistants, RAG knowledge bases, document automation, intelligent search and AI-powered product features | designed for reliability, not demos. We work with OpenAI, Anthropic and open-source models as the brief requires.

Click to expand
Question | 02Can ZiyadX integrate AI into an existing product?

Yes. We audit your product and data, design the AI surface, integrate via APIs, and ship with evaluation metrics, logging and safe fallbacks so the feature earns trust in production.

Click to expand
Question | 03Do you build AI solutions for companies in Mumbai and India?

Yes. ZiyadX is based in Mumbai and delivers AI solutions for startups and enterprises across India and worldwide, including remote engagements with US, UK, UAE and European teams.

Click to expand
Question | 04How do you keep AI features trustworthy?

Evaluation harnesses, retrieval quality checks, guardrails, fallbacks, observability and human-in-the-loop controls where the risk requires it.

Click to expand
Question | 05Do you need our data to be perfectly clean first?

No. We assess data readiness early, prototype on the densest real cases, and define the minimum cleanup needed for a reliable first release.

Click to expand
Question | 06What does an AI engagement typically include?

Feasibility brief, architecture, production feature or workflow, evaluation metrics and an ops runbook so your team can operate what we ship.

Click to expand
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Location

Mumbai
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