Services AI Assessment

AI Assessment: see how ready you are for AI and what to build first.

Most companies already use AI, but few get measurable value from it. In 2 to 4 weeks we find where AI helps you most, check whether your data is ready and put a price on it, with a 12-month roadmap to act on.
Readiness scorecard
A score for each data and AI area, with the gaps listed.
Ranked use cases
3 to 5 use cases ranked by value and feasibility.
12-month roadmap
Quick wins in the first 3 months, then the larger steps.
Business case
Costs, savings and payback, ready for your board.
The problem

Why AI projects fail.

Most companies already use AI, but few get measurable value from it.

39%
of companies see any effect of AI on their profit
Source: McKinsey, 2025
42%
of companies dropped most of their AI projects in 2025
Source: S&P Global, 2025
60%
of AI projects without AI-ready data are likely to be dropped
Source: Gartner, 2025
Data is the main blocker. Most failed AI projects fail on data, not on the AI model.
The service

What is the AI Assessment?

A 2 to 4 week engagement that answers three questions before you invest in AI.

It ends with a 12-month roadmap, a business case for your board and a priced proposal for the first project.

Where does AI help most?

Use cases ranked by value and feasibility.

Is your data ready?

A readiness check before you spend on pilots.

What is it worth?

Costs, savings and payback in one business case.

Four phases, 2 to 4 weeks

From kickoff to the final presentation, with about 6 to 10 hours from each of your leaders.

Week 1
Discovery
We find your business use cases or technical priorities.
Weeks 1-2
Pattern mapping
We score your readiness for data and AI and list the gaps.
Weeks 2-3
Architecture and roadmap
We design the AWS architecture and a phased plan.
Weeks 3-4
ROI and business case
We calculate costs, savings and payback.
Let's start with a conversation.

Tell us where you are with AI and we will propose how to start.

Get in touch

Why Sedmi odjel

AWS Premier Partner for secure, well-run AI.
AWS Premier Tier Services Partner
A proven track record delivering AWS solutions.
AWS Select Training Partner
Expert-led training for your team.
AWS Competencies
AI, Migration, MSP, DevOps and Cloud Operations.
Certified experts
Constant training and certification.
Technology partner
Focused on concrete business results.
Flexibility
Agile teams that adapt to your needs.
FAQ

Questions we hear first.

Have another question? Get in touch and we will answer it.

Who is the assessment for?

Companies that use AI but see little measurable value, have a named executive sponsor who owns the results, and want to act fast. The roadmap starts with quick wins in the first 3 months.

How much time does it take from our team?

About 6 to 10 hours from each of your leaders, spread over 2 to 4 weeks. We do the analysis, the architecture and the business case.

What do we get at the end?

A readiness scorecard, 3 to 5 use cases ranked by value and feasibility, a target AWS architecture, a 12-month roadmap, a business case with costs, savings and payback, and a first check against the EU AI Act, GDPR and DORA.

Why check data readiness first?

Most failed AI projects fail on data, not on the AI model. Gartner expects 60% of AI projects without AI-ready data to be dropped, so we check your data before you spend on pilots.

What happens after the assessment?

You decide what to build from the roadmap. We can deliver it with you: a data foundation, AI projects such as document processing, AI search and AI agents, a proof of concept, or managed services for your data and AI platform. Every assessment ends with a priced proposal for the first project.

Know what to build before you invest.

Tell us about your AI plans, and we will propose an assessment that fits.

Let's Talk