---
title: "Frequently Asked Questions | Data-Driven AI"
canonical: "https://data-driven.com/frequently-asked-questions/"
description: "Get direct answers about Data-Driven AI services, packaged solutions, delivery, support, training, and assurance before you book a call."
---

Frequently asked questions

# Know what to bring before _the first conversation_

Compare published service routes, review the delivery path, and identify the questions that still need a project-specific decision.

[Contact the team](/contact-us/)

[Explore services](/our-services/)

Bring these to the first conversation

1.  Business problem Name the decision or workflow that needs to improve.
2.  Decision owner Identify who can confirm priorities and tradeoffs.
3.  Current evidence Bring the data, process, or platform facts already available.

Choose a route

## Start with the decision you need to make

These directories show the published routes. The first conversation can test which one fits the problem.

[Need specialist delivery?](/our-services/)

Compare services by platform, capability, and delivery need.

[Need a packaged starting point?](/data-driven-solutions/)

Review the current solutions and accelerators by use case.

[Need to understand the handoffs?](/data-driven-ai-project-methodology/)

See how discovery, design, delivery, and review fit together.

Published answers

## Separate published facts from project-specific decisions

Use these answers to prepare. Scope, dates, service commitments, and contract terms still depend on the engagement.

### Service fit

#### What does Data-Driven AI do?

Data-Driven AI plans and delivers work across Microsoft Fabric analytics, custom AI agents, business apps, Azure cost management, and data platform support. Compare the [service directory](/our-services/) with the [solution directory](/data-driven-solutions/) to see the current routes.

#### How do I choose between a service and a packaged solution?

Choose a [service](/our-services/) when you need specialist work around a defined platform or outcome. Start with a [packaged solution](/data-driven-solutions/) when an existing accelerator or agent matches the use case. The first conversation should test fit rather than force either route.

#### Do you provide ongoing platform support?

Yes. [Managed Support Services](/solution/data-platform-support/) covers ongoing help for a data platform after initial delivery. The service boundary, response commitments, and environments belong in the engagement scope.

### Planning the engagement

#### How do we get started?

Start with the business problem, the people who own it, and the evidence you already have. [Contact the team](/contact-us/) to test whether a service, packaged solution, or training session is the right next step.

#### What does the delivery process cover?

The [project methodology](/data-driven-ai-project-methodology/) covers discovery, design, implementation, handover, and review points. The exact sequence depends on the problem, current environment, and people who own the decisions.

#### What training is available?

The [training directory](/training-programs/) lists Microsoft data, AI, and business app workshop topics. Dates, delivery format, and availability can change, so confirm the current session before planning attendance.

### Assurance boundaries

#### Where can I review assurance information?

Use the [certification page](/iso-27001-and-iso-9001-certifications/) for the assurance evidence Data-Driven AI has published. Security controls, access, data residency, and contract terms still need review against the proposed scope and environment.

## Still deciding where to start?

Bring the problem, decision owner, and current evidence. We will help identify the next useful conversation.

[Contact the team](/contact-us/)

[Explore services](/our-services/)