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DATA STRATEGY · AI-READY FOUNDATIONS

We build data foundations for growth and AI-enabled work

Whether you’re scaling existing operations or building new systems, we design data architecture that supports GDPR-aligned practices, audit preparation, and day-to-day manageability, with foundations for responsible AI adoption.

What we deliver

A structured approach shaped around your starting point. It begins with a focused discovery phase to map your data environment, identify gaps affecting AI adoption, and establish clear priorities for the work ahead.

  • Current-state assessment informed by GDPR and relevant sector requirements
  • Prioritised roadmap showing recommended actions, expected impact, effort, and ownership
  • Policies and documentation to support governance and audit preparation
  • Hands-on implementation support within the agreed project scope
  • Guided handover with playbooks, runbooks, and team training

How we work

You work directly with an experienced data architect throughout the engagement, from the initial discovery and planning through implementation and handover. Where specialist input adds value, additional expertise can be brought in to support the agreed scope.

Outcomes

The engagement provides a clearer understanding of your current data environment and a clear route towards more secure, manageable foundations that are ready for AI.

  • Data architecture that can adapt as your organisation develops
  • A roadmap your team can continue to implement
  • Reliable foundations for AI agents, dashboards, data pipelines, and automation

HOW WE CAN HELP

Three common starting points

Scaling Existing Operations

Your current data environment supports day-to-day work but may no longer accommodate new services, markets, data volumes, or regulatory requirements. We identify what can be retained, improved, or redesigned while limiting the impact on daily operations.

Building New Systems

You are planning or developing a new system and want a secure, well-structured foundation from the outset. We design data models, governance, and controls that can support AI agents, dashboards, pipelines, and future development.

Preparing for Audit or Review

An internal review, external audit, or regulatory assessment is approaching. We help identify gaps, strengthen documentation, and prepare your data architecture and governance practices. Priorities are agreed around the scope and the time available.

Ready to strengthen your data foundation?

Tell us about your current data environment. Together, we can identify a practical next step for AI adoption, regulatory compliance, or future growth.

HOW WE APPROACH THIS

Five phases, adapted to your environment

Together, we agree the scope, priorities, responsibilities, and timing before work begins.

01

Discover

We learn about your objectives, existing systems, data flows, and available capabilities. This gives a shared view of how data is currently collected, used, stored, and managed.

02

Assess

We assess your data architecture, governance, security, and lifecycle practices in relation to relevant GDPR and sector requirements. The findings provide a documented basis for priorities and recommendations.

03

Design

We design the target data architecture, including data models, database structures, lifecycle rules, access controls, and AI requirements. Delivery is planned and costed by phase.

04

Deliver

We work alongside your team to implement the agreed priorities. Depending on the scope, this can include policies, documentation, technical components, and configured systems.

05

Handover

We hand over the documentation, playbooks, runbooks, and knowledge transfer. Your team receives the guidance required to understand, manage, and extend the resulting foundation.

GROUNDED IN RESEARCH AND EXPERIENCE

  • 68,000+ Danish personal data breach notifications analysed
  • 8 years of breach reporting data examined
  • 25+ years of experience in IT, cybersecurity, and data lifecycle management

QUESTIONS WE HEAR OFTEN

What to know before you begin

How are we different from a general data consultancy?

Our work is grounded in data privacy, data protection, personal data breach analysis, AI compliance, and responsible AI adoption. We combine this specialist knowledge with practical delivery, including governance documentation, data models, implementation plans, configured systems, and guidance your team can continue to use.

Do you work with organisations outside Denmark?

Yes. Our work is based on EU GDPR and Danish data protection practice, and we work with organisations in Denmark and internationally. The scope is adapted to the organisation’s location and applicable requirements.

What if our data is held in legacy systems we cannot replace?

Existing systems can often remain part of the data environment. We assess how to maximise the value of what you already have through adaptation or integration, and identify where a different approach may be more appropriate.

How is the engagement priced?

The initial 30-minute conversation is free. Once the scope is agreed, work is priced by phase, with deliverables and costs set out before it begins.

Can we begin without a complete data inventory?

Yes. Discovery can include mapping where data is held, how it moves between systems, who is responsible for it, and where further investigation may be useful.

TALK TO ALPHA

Your data foundation, in 8 to 12 weeks

A free 30-minute conversation. Tell us about your data environment, and together we’ll decide where to begin.