AI & Gen AI POC (Proof of Concept)

AI & Gen AI POC Validate the right use case, prove business value, and de-risk your AI investment on Google Cloud fast.

AI & Gen AI POC

Validate the right use case, prove business value, and de-risk your AI investment on Google Cloud fast.

Built for Teams Who Need Proof, Not Hype

Startup & SMBs

Seeking quick validation before funding a full build. You’ll get a focused prototype, cost clarity, and a production plan.

Product & Ops teams

With repetitive workflows or content generation needs. We help you frame the ROI and automate safely.

Data & IT leaders

Who must ensure security, governance, and scalability from day one, without over-engineering the first step.

What Ships at the End

Vertex AI & Gemini

For models, prompt orchestration, and evaluation; AlloyDB/BigQuery for structured data.

Vector search & RAG

With Vertex AI, BigQuery Vector, or managed stores; Cloud Run/GKE for serving.

Cloud Build/Workflows/Logging

For CI/CD and observability; optional Looker/Studio for KPI dashboards.

Tech Stack (Google Cloud-First)

A working demo

Your stakeholders can try covering key flows, guardrails, and success metrics tied to your goals.

Evidence of value

Time saved, accuracy uplift, quality scores plus a simple TCO model to inform go/no-go decisions.

A production-ready blueprint

With architecture, data flows, compliance notes, and a phased rollout plan to MVP.

Common POC Use Cases

RAG assistants over your data

Docs, wikis, tickets for support, sales, or field teams: low hallucination, fast answers.

Content generation & review

Emails, product copy, contracts with human-in-the-loop workflows and policy guardrails.

Process automation & agents

That triage requests, retrieve context, call APIs, and write back to systems of record.

Frequently Asked Questions

Most single use cases fit in 4–6 weeks. Complexity comes from data access, integrations, and evaluation needs. We timebox sprints and keep scope tight to protect your timeline.A small but representative dataset, sample documents, and access to a sandbox environment. We’ll define the minimum viable connectors during discovery to avoid over-wiring.We favor Vertex AI and Gemini on Google Cloud for governance, performance, and integration. We also use vector search, BigQuery, Cloud Run/GKE, and evaluation frameworks aligned to your needs.Data remains in your cloud. We apply least-privilege IAM, secret management, and logging. If you have specific compliance needs, we’ll mirror your controls in the POC.