WhizCloud
Applied AI

AI solutions we deploy into real operations

Explore production-focused AI solution patterns across agents, retrieval, copilots, workflow automation, voice systems, and governed AI platforms.

AUTOMATION

Enterprise AI Platforms

An enterprise AI platform is the shared layer that authenticates, logs, evaluates, and budgets every model call, so each team does not wire providers on its own. WhizCloud adds that layer once you have more than one production AI feature, with a first governed path in about four weeks.

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AUTOMATION

Voice AI

Voice AI development places and answers real phone calls with a streaming speech pipeline, including Hindi and Hinglish, and writes the outcome back to your CRM. WhizCloud usually ships a first production calling workflow in about four weeks for teams that qualify leads or run outbound campaigns.

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AUTOMATION

AI Workflow Automation

AI workflow automation reads documents and emails that do not share one template, auto-processes the high-confidence cases, and sends the rest to a person with the fields already filled in. WhizCloud usually ships a first production workflow in about four weeks for operations, finance, or support teams.

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APPLIED AI

LLM Applications

LLM application development puts drafting, summary, and recommendation inside the product your team already uses, and a person edits the draft before it is saved. WhizCloud usually ships a first in-product assistant in about four weeks for operations, support, or back-office teams.

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APPLIED AI

RAG & Knowledge

A RAG system answers from your documents and records, attaches a citation to each claim, and applies permissions before retrieval. WhizCloud usually ships a first production knowledge workflow in about four weeks, self-hosted or on a hosted model, for teams that cannot paste internal data into a public chat tool.

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APPLIED AI

Agentic AI

Agentic AI development means building software agents that plan, call your systems' APIs and complete multi-step work, with a human approving high-risk actions. WhizCloud ships a first production agent in about four weeks, usually starting with one high-volume workflow such as quoting or intake triage.

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