AI Advisory Services
products across 8 markets.
in loan deals
in the local market.
faster document processing
EU policies organised

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revenue growth within a year
financed in invoices
AI advisory company for enterprise-scale decisions
Our AI advisory for businesses focuses on one of the hardest parts of AI adoption: deciding what is worth building and whether the organization is ready for it. We work through those decisions with you before development starts, so you know where to invest and what it will take to move forward.
Readiness and maturity assessment
See whether your data, systems, and team are ready for the AI project you have in mind — and what needs attention before it makes sense to move forward.
Governance and regulatory scope
Understand how the EU AI Act applies to your systems and what needs to be addressed before they go into production.
Roadmap
Turn the decisions made during advisory into a plan your team can work from, with a clear order of priorities and ownership.
Vendor and tool selection
Decide whether to build, buy, or extend what you already use. If an existing product is the better fit, we'll say so.
What is AI aadvisory?
AI advisory and consulting services help organizations assess their data and IT infrastructure, select and prioritize use cases, estimate total cost of ownership, and evaluate regulatory requirements.

Accelerate your operational velocity
Get an engineering assessment to identify where intelligent agentic layers can eliminate processing delays in your infrastructure.
Adoption is not the problem
AI is already a given. Now it comes down to choosing the right use cases
of organizations use AI in at least one business function
have fully scaled AI across the enterprise
report enterprise-level EBIT impact from AI
of organizations either don't have or aren't sure they have the data managementpractices needed for AI
When does your business need AI advisory?
You have several AI ideas, but no clear priorities
You want to adopt AI, but lack a clear starting point
Your AI pilot is stuck before reaching production
You need to justify an AI investment
You are deciding between building and buying
You need a practical implementation roadmap
Our AI advisory services
Most AI transformation advisory engagements combine several of these services. What goesinto the work depends on what you already know and where the open questions still are.
AI readiness assessment
Use case selection and prioritization
Cost of ownership modeling
AI governance and EU AI Act scoping
Build, buy, or extend
Implementation roadmap

Have an AI initiative that still hasn't reached production?
We'll identify what is blocking it, what it will take to move forward, and whether further investment still makes sense.
Regulations and standards we work with
EU AI Act
We identify the requirements that apply to your system, including high-risk and transparency obligations.
GDPR
We assess how personal data can be used and whether automated decision-making rules apply.
DORA
For EU financial companies, we review ICT risk and third-party requirements relevant to the AI solution.
NIST AI RMF
A voluntary framework we use to structure AI risk management and governance.
ISO/IEC 42001
A management standard for organizations that need a formal approach to AI governance.
What you get
How an advisory engagement works
Two conversations, a data check, a cost-and-regulation pass, and a roadmap. Here's what happens at each stage of an advisory engagement:
Interviews
Data
Cost and regulation
Roadmap
160x faster document processing for a law firm
“They're incredibly detail-oriented, proactive in suggesting improvements, and consistently bring new ideas to improve our systems."

Our biggest operational cycle compression in unstructured data processing
Autonomous AI agents running live in client environments
of clients return for the next project
Countries running systems built by our team
Engagement and pricing
Our AI advisory consulting services are scoped around the decisions you need to make. A single use case may only need a focused assessment, while an enterprise AI program can involve several teams and systems. We agree on the scope before the work starts, so you know what is included and what it will cost.
One defined question or use case, with a set scope and timeline. Suitable for feasibility checks, build-vs-buy decisions, pilot reviews, or readiness assessments. Best when the problem is already clear.
We review several AI opportunities together, compare them, and decide which ones deserve investment. The engagement ends with priorities, cost estimates, and a roadmap. Best when you know where AI could help, but not what to do first.
Senior AI and engineering support as your AI program develops. We can review new use cases, vendor choices, technical decisions, or changes to the roadmap as they come up. Best when AI decisions continue beyond a single project.
What drives the cost



