Services · AI Consulting

Build AI That Actually Ships.

Not Just Slides That Impress.

Most AI consulting ends with a roadmap. Zaruda ends with a deployed system. Our AI consultants are engineers first — they design, build, and ship production-ready AI that solves real business problems.

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Process Overview

1

Discovery & Business Alignment

Weeks 1–2

2

Architecture & Planning

Weeks 2–4

3

Rapid Prototyping & Validation

Weeks 3–6

4

Production Engineering & Deployment

Weeks 6–16

5

Enablement & Handoff

Ongoing

GAP

The Challenge

THE
REAL
ITY

Most AI consulting engagements end with a sophisticated-looking roadmap, a four-phase implementation plan, and a significant invoice.

The actual AI? That arrives months later — if it arrives at all. The gap between AI strategy and AI delivery is where most companies lose momentum, lose budget, and lose competitive ground.

How We Work

Our Approach,
Step by Step

5 phases

Discovery & Business Alignment

We start by understanding your business problem, not your technology stack. What decision do you need AI to make? What manual process costs you the most? AI is the answer — we help you define the right question.

Weeks 1–2

Architecture & Planning

Our architects design a system that fits your data maturity, infrastructure, and team capability. We assess build vs. buy, open-source vs. proprietary, cloud-native vs. hybrid — and recommend what will actually deliver value in your timeframe.

Weeks 2–4

Rapid Prototyping & Validation

Before committing to a full build, we validate the core AI hypothesis. A working prototype in 2–4 weeks tells you more than a 40-page requirements document.

Weeks 3–6

Production Engineering & Deployment

We build, test, and deploy production-grade AI systems using modern MLOps practices, CI/CD pipelines, and enterprise security standards. Your AI system launches with monitoring, documentation, and a plan for ongoing evolution.

Weeks 6–16

Enablement & Handoff

We don't disappear after go-live. Whether you take over internal operations or have Zaruda manage the system ongoing, we make sure your team understands what was built and how to grow it.

Ongoing

Capabilities

What We Deliver

Custom AI Application Development

→LLM-powered workflow automation and intelligent assistants
→Computer vision for quality control, document processing, and visual inspection
→Recommendation engines for retail, content, and customer experience
→Predictive analytics for demand forecasting, risk assessment, and churn prevention

AI Product Strategy & Architecture

→AI product roadmap development
→Build vs. buy analysis and vendor evaluation
→Cloud AI architecture design (AWS SageMaker, Azure ML, Google Vertex AI, Databricks)
→MLOps infrastructure design and implementation