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Make digital value creation a lasting capability

We help businesses plan, implement and continuously manage digital and AI-driven value creation.

Reduce the rework in your operations

Your team knows how to do the work. Yet questions, duplicate entries and waiting for approvals take up time. We connect workflows and systems so work can move forward reliably.

What takes effort today
What becomes possible
Seeing at a glance where work needs to move forward
Capturing data once and using it throughout the process
Keeping work moving during holidays and absences
Making decisions with current, shared figures
Improving workflows step by step
Handling more business with the existing team

DigiCheck: find out what really creates value

The DigiCheck is a compact analysis of processes, data and systems that gives you a clear basis for decisions, beyond general advice.

Where would digitalisation, better data or new systems create the most value for us?

Opportunities, quick wins and next steps for creating digital value.

Compact scope: 2–3 weeks, interviews and a review of systems and data
Prioritised opportunity map with quick wins
A clear recommendation for the next step: implement, get support or stop
Value →Feasibility →
High value · quick to implement
Automate reporting
Digitise manual approvals
Quick wins
Reduce technical risks

Paths to a digital future. With support from esveo

After the initial assessment, the next step is either ongoing transformation or establishing a reliable data foundation. Both draw on the same components.

Digital & AI Transformation Team

„How do we keep digitalisation and AI moving when internal capacity, coordination or delivery expertise is missing?“

Your team for continuous digital planning, delivery and management with AI support.

Monthly collaboration model
Dedicated core team
Joint quarterly planning
Prioritised backlog
Several initiatives in parallel
Flexible delivery capacity
AI-assisted ways of working ✦
Planning and delivery with one partner

Data Foundation for AI & Digitalisation

„How do we create a shared data and integration foundation for reliable decisions, digital solutions and productive AI?“

Data, metrics and system access as a foundation for analytics, digitalisation and AI.

Step-by-step development
Prioritised data sources
Business metric definitions
Secure system access
First usable application
Foundation for reporting, RAG and AI

Do these challenges sound familiar?

„Where would digitalisation, better data or new systems create the most value for us?“

DigiCheck →An opportunity map, quick wins and a clear recommendation for the next step.

„How much technical debt do we have, and what needs modernising?“

Technical Debt Audit →Assessed architecture risks and a prioritised modernisation roadmap.

„How do we quickly replace recurring Excel analysis with a reliable solution?“

AI Kickstart: Reports & Data Analysis →Reports and data analysis delivered as usable software.

„How do we keep digitalisation and AI moving when internal capacity, coordination or delivery expertise is missing?“

Digital & AI Transformation Team →An ongoing team for your roadmap, delivery and impact reviews.

„How do we create a shared data and integration foundation for reliable decisions, digital solutions and productive AI?“

Data Foundation for AI & Digitalisation →Data, metrics and system access as a reliable foundation.

Find out what fits in 30 minutes

Arrange a conversation

Frequently asked questions

Do we need a digital strategy already?

No. Assessing goals and opportunities is part of working together. The DigiCheck and Digital Value Roadmap establish this foundation.

How does the Transformation Team differ from a traditional development retainer?

A retainer provides capacity. The Transformation Team combines strategic direction, a roadmap, design, delivery and impact reviews in one model, managed through a shared backlog and quarterly goals.

Is the team suitable for individual initiatives too?

Yes, starting with a specific initiative is common. The main value comes from the ongoing cycle, which is why we work with a minimum term of six or twelve months.

How does the monthly collaboration model work?

It combines a monthly base package with a dedicated core team or capacity allowance, a jointly prioritised backlog and a quarterly planning and review cycle. We add delivery packages for larger initiatives.

What does the data foundation include?

It covers everything needed to make data usable: source system integration, data models and metric definitions, data quality, APIs and access concepts, through to knowledge bases, RAG and tool interfaces for AI.

Do we need a data warehouse?

Not necessarily. The architecture follows your requirements. Sometimes a lightweight integration layer is enough; sometimes a data warehouse with data marts is the right core.

How do the data foundation and AI Data Readiness relate?

AI Data Readiness is a specialised component of the data foundation. The same foundation that supports reporting and applications also makes AI Workflows & Agents usable in production.

Can esveo work alongside existing internal teams?

Yes. We work with a shared backlog, clear interfaces and deliberate knowledge transfer. We integrate existing systems and service providers rather than replacing them.

Can we start working together with a DigiCheck?

Yes, that is the recommended starting point. Its results feed directly into the roadmap or the development of the data foundation.

How soon will we have a first usable result?

Quick wins from the DigiCheck can often be implemented within the first few weeks. The first quarterly cycle delivers results that can be used in everyday work at the latest.

How are priorities, progress and impact managed?

Through a jointly prioritised backlog, quarterly goals and regular reviews of progress, budget and impact, with transparency for departments, IT and management.