01 / 07 · AI Readiness Assessment

AI Readiness
Assessment

We identify where AI creates real business value — mapping your processes, data and priorities into a concrete roadmap from pilots to enterprise scale.

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9 assessment steps

Structured methodology from discovery to roadmap

2–6 weeks average delivery

Fast and focused engagement

ROI roadmap included

Business case and value modelling included

Trusted by enterprise leaders

Microsoft
NVIDIA
Dell EMC
Amazon Web Services
Google Cloud
OpenAI

Pain points

Challenges we solve

We identify and close the gaps that stand between you and real AI impact.

01

No clarity on where AI creates value

Many organizations invest in AI without knowing which use cases deliver real business impact.

02

Fragmented initiatives and unclear priorities

AI efforts remain isolated, duplicated or misaligned with business goals.

03

No roadmap from idea to value

Hard to move from proof-of-concept to scalable, measurable results.

04

Business and IT misalignment

Lack of shared vision and readiness slows adoption and limits outcomes.

9-step methodology

How the assessment works

Our 9-step methodology turns insights into a clear, prioritized roadmap for real business impact.

Proven methodology

Structured approach used across enterprise AI assessments.

Expert collaboration

Workshops and interviews with your key stakeholders.

Actionable roadmap

Clear priorities and next steps with measurable outcomes.

Typical timeline 2–6 weeks Depending on scope and complexity
01
Stakeholder interviews

Understand goals, constraints and current state

02
Business process analysis

Identify priority processes and scenarios with the highest value

03
AI use case formation

Define potential AI use cases for specific functions or business units

04
Use case scoring

Evaluate value, feasibility, complexity and expected impact

05
Requirements definition

Define data, integration, security and organizational requirements

06
Data readiness assessment

Assess data baseline, governance and control mechanisms

07
Priority selection

Select top initiatives for Pilot, PoC or next implementation stage

08
Initiative documentation

Document target scenarios, requirements, architecture and implementation details

09
Pilot scope & architecture

Define pilot scope, tech stack and scaling roadmap

Interactive tool

Find your AI use cases

Select your industry and business function to see the most relevant AI scenarios with value and complexity ratings.

Use case configurator

Select industry + function → get personalised AI use cases

Industry

Choose your industry

Business function

Choose your business function

Select industry and function above to generate AI use cases

What you get

9 concrete deliverables

A structured assessment that turns analysis into a prioritized roadmap and measurable outcomes.

01

AI readiness assessment

Structured assessment of current AI readiness for launching AI initiatives and agents

02

Prioritised use cases

List of AI use cases mapped to specific business processes and functions

03

PoC recommendations

Initiatives recommended for Pilot, Proof-of-Concept or next stage

04

Priority scenario report

Report with value, constraints and practical applicability of each scenario

05

Technical requirements

Data, integrations, security, governance and operating model requirements

06

Scaling roadmap

Implementation plan, architectural approach and AI initiative scaling roadmap

07

Stakeholder alignment

Key stakeholders, RACI alignment and change readiness overview.

08

Risk & compliance review

Risk assessment, compliance considerations and AI governance recommendations.

09

Final assessment summary

Executive summary with key findings, next steps and expected impact.

Market benchmark

AI adoption by industry

How widely AI is already in production across sectors — and where your industry stands.

Organizations actively using AI, 2026
Share of organizations in the sector, not a maturity score
Retail & E-commerce 91%
Financial services 84%
Healthcare 70%
Telecom 66%
Manufacturing 52%
020406080100
51 / 100 cross-industry AI maturity, ServiceNow Enterprise AI Maturity Index 2026 (4,500 executives). AI-enabled workflows score just 40 — the weakest of seven pillars.

Sources: Presenc AI, AI Adoption Statistics by Industry 2026 · DesignRush / NVIDIA industry data 2026 · ServiceNow Enterprise AI Maturity Index 2026.

ROI estimator

How much can you save?

Adjust to your company size and see the estimated annual impact of AI adoption.

AI impact calculator

Based on industry benchmarks from Noventiq assessment projects

Number of employees500
Avg. monthly salary ($)$2,000
Hours saved / person / week5h
$325K
Annual productivity gain
130K h
Hours freed per year
62.5 FTE
Equivalent headcount

Why us

5 reasons clients choose Noventiq

1

Applied approachfocus on realistic scenarios and concrete launch steps, not abstract AI strategy

2

Technical depthwe work through both ideas and their technical feasibility: data, integrations, governance, architecture

3

Continuityability to continue after assessment: from PoC to MVP to full industrial deployment

4

Flexible formatmore flexible and accessible compared to large consulting programmes, without sacrificing depth

5

Business + technical lenswe combine business-oriented and technical perspectives in forming recommendations, bridging the gap between business needs and implementation reality

Technology

Tech stack

Microsoft AI EcosystemAI-powered productivity, development and platform services
Microsoft 365 CopilotCopilot StudioMicrosoft AzureAzure AI FoundryMicrosoft 365
Alternative Cloud, Hybrid & On-Premises AIFlexible delivery across clouds and your own infrastructure
Agent orchestrationKnowledge retrievalIntegration layerData platformGovernanceMonitoringSecurity componentsLicensing schemes

Timeline

Project timeline

2–3 weeks
Express assessment
Key stakeholders, top-priority processes
3–5 weeks
Standard assessment
Multiple functions, full use case matrix
5–6 weeks
Extended assessment
Full plan + detailed technical architecture

Real results

Case studies

#1

Large industrial holding

AI use case analysis for HR, Legal, Procurement and general productivity. Identification and structuring of prospective scenarios, preliminary architectural approach, technical feasibility analysis across data, integrations and governance, and preparation of individual initiatives for Proof-of-Concept.

Frequently asked questions

Questions we hear most often

How long does an AI readiness assessment take?

A typical assessment takes 2 to 6 weeks, depending on the number of processes and data sources in scope.

What do we receive at the end?

A prioritised list of AI use cases, proof-of-concept recommendations and a concrete roadmap from pilot to enterprise scale.

Do we need our own data scientists?

No. The assessment is run by Noventiq specialists together with your process owners; no in-house AI team is required.

Do you work with companies in Moldova?

Yes. Noventiq Moldova is based in Chișinău and delivers projects locally in English, Romanian and Russian.

Ready to find your AI opportunities?

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