Speak2MyCV for data and AI consultants

“Prospects say "we want to do something with AI" and expect you to translate.”

They can ask your page about concrete use cases you have delivered, which helps them find words for their own.

“Data work covers so many tools that your CV becomes a wall of logos.”

Visitors ask about the tool or problem they care about and get the relevant projects.

“Buyers worry an AI consultant will overpromise.”

Your page only answers from what you uploaded and says when it does not know — the same discipline buyers want from you.

“Discovery calls turn into free strategy sessions.”

Background and approach questions are answered before the call, so calls can focus on scope.

“You do not know which services attract the most interest.”

The questions log shows whether people want analytics, engineering, ML or strategy help.

“Clients are not sure whether their data is good enough to start.”

Explain how you assess data readiness in your material, and the page tells visitors what you usually look at first.

“Buyers worry about where their data goes during a project.”

Describe how you handle client data in your own words and the page repeats it accurately whenever someone asks.

“Executives want business outcomes, engineers want tools, and your CV speaks to one or the other.”

Each visitor asks in their own terms and the page answers from the relevant part of your record, whether that is a tool or a result.

An operations lead wants to know whether you have built demand forecasting before.

They ask your page and get your own examples, if you included them.

A founder wants to know if you work with their data warehouse.

The page answers from the tools you listed, without guessing.

A prospect wants to see how retrieval-grounded AI behaves.

Your page is a live example: answers drawn only from your documents, with "I do not have that" when appropriate.

A client is ready to scope a project.

Your booking link in the page turns the conversation into a call.

You want to refine your service offering.

Logged questions show which problems keep coming up.

A marketing team wants a customer-segmentation model and does not know where to begin.

They ask your page whether you have built one before and how the work usually starts, and get your own answer.

A product manager wants to add an AI feature and needs a quick reality check.

The page explains the kinds of AI work you take on, so they can decide whether to bring you in for a scoping call.

A finance team wants its monthly reporting automated.

They ask your page whether you have automated reporting before and get your own examples, if you included them.