Magnitudeminds AI Implementation

Services/Manage

AI Consulting & Strategy

Use-case discovery, architecture, and a roadmap you can act on, from engineers who build what they recommend.

Book a discovery call

Engagement at a glance

Typical duration
2 to 6 weeks
Engagement
Fixed scope, fixed price
Team
A senior architect and a delivery lead
Fits
Leadership teams starting or re-planning an AI program

What we do

A short, fixed-scope engagement to decide what to build and in what order. We assess readiness, run discovery workshops with your teams, and leave you with an architecture, a business case, and a phased plan our own engineers could start on.

What the work includes

01

Discovery with the people who do the work

Workshops run with operators and managers, not only executives, so the use cases that come out are the ones that remove real friction.

02

Architecture from practitioners

Model, hosting, and data recommendations from engineers who have deployed the same choices before, including where they went wrong.

03

A business case with real numbers

Effort, running cost, and expected effect for each candidate, so the roadmap can be defended in a budget conversation.

04

A plan you can start

Phases sized to weeks, with clear entry and exit criteria. If you want us to build it, the same team continues.

Case study

Leadership upskilling and roadmap for an FMCG group

A two-day program for the IMV Group leadership team, a readiness assessment, and an automation roadmap that led to follow-on projects.

Read the case study

How an engagement runs

Scope, build, evaluate, operate.

The same four stages on every engagement, each with a defined output.

01

Scope

A short discovery with the people who own the problem. Output: a written scope, acceptance criteria, and a fixed estimate.

02

Build

A named lead and a team sized to the scope. Working software from the first weeks, demonstrated on a fixed cadence.

03

Evaluate

Every AI component is measured against real cases before rollout. The numbers decide when it goes live.

04

Operate

Deployment, monitoring, and a support window. Then a handover, or an ongoing team if you want one.

Typical stack

Tools we commonly use for this work. The final choice follows your requirements, region, and existing platform.

  • PythonLanguage
  • JupyterNotebooks
  • Google DocsDocumentation
  • MiroWorkshops
  • NotionDocumentation
  • OpenAIModels
  • FigmaDesign

Strategy

Advice from people who will have to build it

We recommend only what we would be willing to build. That keeps the roadmap realistic.

Book a strategy session