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EnzRossi

AI Strategy

Know where AI fits before you spend.

Most AI projects fail because they start with a solution. We start with your data, your workflows, and a clear ROI model.

Free, no commitment. Takes about 30 seconds.

6 wksMedian to production
40%Avg manual work cut
3 daysFirst engineer shortlist

What this is

A roadmap, not a pilot that goes nowhere.

AI consulting with us means you leave with a prioritized use-case list, a data readiness score, and a build/buy/partner recommendation for each opportunity. We've done enough of these to know which AI bets pay off and which ones look good in a deck but stall in production.

What we cover

What an AI assessment actually delivers

Use-case identification

Map your workflows to specific AI opportunity types: prediction, classification, automation, search, generation.

Data readiness audit

Assess data volume, quality, labeling requirements, and gaps. Know exactly what you have before you commit to building.

ROI modeling

Quantify expected impact per use case: cost saved, revenue influenced, time recovered. Numbers you can defend in a meeting.

Build / buy / partner

For each opportunity, we give a clear recommendation. Some things you should build. Some you should buy. We won't upsell you on the wrong one.

Phased roadmap

A sequenced plan with effort estimates, dependencies, and risk flags. Not a wishlist: a plan you can actually execute.

Risk and compliance

Identify regulatory, bias, and security risks per use case before they become problems in production.

Tools we use

Assessment tooling

PythonPandasSQLJupyterAWS SageMakerVertex AIAzure MLscikit-learnTensorFlowPyTorchHugging Face

Process

How a consulting engagement works

enzrossi-ai, process
$ step.01
$ step.02
$ step.03
$ step.04
01

step 01

Discovery call

30-minute call to understand your business, existing stack, and what you've already tried.

02

step 02

Data and workflow audit

We review your available data sources and document 5-10 workflows worth assessing for AI potential.

03

step 03

Use-case scoring

We score each opportunity on feasibility, data readiness, expected ROI, and effort. You see the full ranking.

04

step 04

Roadmap delivery

A written document with prioritized use cases, data requirements, and a phased build plan. Includes a Q&A session.

Before you decide

The doubts everyone has before hiring us.

And what we do about each one.

  • AI projects never make it past the prototype.

    Your data is assessed in the first week, and you get an honest answer on whether there is enough signal to build something useful.

    Data assessment in week one
  • This will just be a chatbot on top of an API.

    Language models are used when they fit, like text and language tasks.

    The right tool for the problem
  • Our data is too sensitive to leave our infrastructure.

    Model training can run entirely in your cloud, so your data never leaves your infrastructure.

  • We'll end up locked in to you.

    Trained weights, training code, data pipelines and all documentation transfer to you on delivery.

    Models and code are yours

FAQ

Common questions

Start here

Find out what AI is actually worth building.

A 30-minute call gets you a clear picture of your options.

What happens next

  1. 1

    You tell us what you need. It takes about 2 minutes.

  2. 2

    A real person replies within 4 business hours.

  3. 3

    A 30-minute call to understand the project and agree on next steps.