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Cloudus Infotech
AI · AI Consulting

Where AI pays off, and where it does not

An assessment of your workflows, data readiness and the realistic cost of each option, delivered in writing.

Scope a two-week POCAll AI capabilities

  • 2 wks

    To a working POC

  • 15

    AI capabilities we build

  • 9

    Years in business

Team workshop with sticky notes on a whiteboard
OverviewProcessStackMore AIFAQ

What you get

What every consulting engagement includes

You get a recommendation you can act on, including when the answer is not to use AI.

Talk through the use case

Use cases ranked by value against effort

Data readiness assessed honestly

A written report you can act on without us

Our process

Four steps to a written recommendation

No build until the case is made.

  1. 01

    Understand the business

    Goals, workflows, data and constraints, from the people who do the work.

  2. 02

    Find & rank opportunities

    Where AI could help, scored on value, effort and risk.

  3. 03

    Test the best candidate

    A quick proof on your data to check the claim.

  4. 04

    Roadmap & recommendation

    A written plan: what to build, in which order, at what cost, and what to leave alone.

Tech stack

What we build it with

Four layers, each chosen per project. Open one to see what sits in it and why.

Models & frameworks

The layer that generates. Chosen per task against quality, latency and cost.

OpenAIAnthropicOpen models

More AI capabilities

Fourteen more ways we apply AI

AI Software Development

End-to-end AI product builds.

AI Chatbot Development

Smart, conversational AI for business.

AI Agents Development

Linked agents for smarter tasks.

AI Voice Agents

Voice intake and call handling.

Generative AI Solutions

AI that creates and innovates.

LLM Chatbot Development

Grounded in your own content.

LLMs for SMEs & Enterprises

AI built to scale with you.

RAG Model Development

Smarter AI with search + generation.

GPT Integration

AI seamlessly in your workflow.

Prompt Engineering

Better prompts, better results.

Machine Learning Development

AI that learns from your data.

NLP Development

Classification, extraction, sentiment.

AI Workflow Automation

Process automation that holds up.

AI MVPs & POCs

Proof before you commit to a build.

Frequently asked questions

The questions we get asked about AI

Data handling, output quality, cost and ownership.

No. The roadmap is yours to take to any team, and we are open about what we would and would not build.

A written report: opportunities ranked, a tested proof for the best one, costs and a roadmap.

A POC on one workflow runs two weeks. A production build on top of it is typically 6–12 weeks, delivered in increments you can use.

Fixed price against a written scope for the POC, then fixed scope or a monthly dedicated-team rate for the build. Cost per request is established before we scale.

You do, from day one. Repositories, prompt history, evaluation sets and infrastructure accounts are all in your name.

Send us the workflow you want to automate. We come back within one business day with questions, then a written scope and a cost per request.

Get a clear answer before you build

Two weeks, a ranked list of opportunities and a written recommendation.

Start the POC