01
From scattered initiatives to governed adoption.
We organise what is used, with which data and under which rules. We train every layer of the organisation and measure the value that reaches production.
See the full programmeSoftware engineering and Enterprise AI
AI arrived before the plan. Let us make it work with order.
We align business and IT across three fronts: adoption and governance, data and systems made ready, and agents working on real processes.
Partner of
AnthropicMicrosoftSAPWhat we see in every organisation
Adoption has already started. Governance has not.
People build solutions with personal accounts and then come to IT asking for data, integrations and operational continuity. Banning it only makes it invisible. Business needs a lane to move forward while IT stays in control.
02
Data and systems ready to integrate.
We work with IT on data architecture, cybersecurity and SAP, and on modernisation with ARISE, our own framework. AI only scales when it can connect safely.
See data and systems03
Agents that do real work, not demos.
We build agents that query data, read documents and act on real processes. We use the model and platform that best fit your organisation.
See AI agentsPraxIA · Governed adoption
The space where business moves forward and IT stays in control.
PraxIA brings training, initiatives and governance into one platform. People improve their work while IT gains visibility before a solution touches critical data or systems.
See how PraxIA works01
Learning by doing
Courses, live sessions and one-to-one support based on real problems from each area.
02
An inventory that prevents duplicate work
Every initiative stays visible so other teams can find it, reuse it and improve it.
03
Two lanes for moving forward
Personal initiatives move without a committee. IT steps in when integrations, sensitive data or critical systems are involved.
04
Value the committee can see
Adoption levels, initiatives in production, hours freed and cost avoided in one dashboard.
Adoption is driven by business users. PraxIA gives IT the rules, environment and traceability to support it without becoming a barrier.
Cases
Real results, in production.
Modernisation and agents delivered on real systems and processes. These timeframes belong to each project; they are not a general promise.
Manuka
Time
From 16 weeks to 2
eCommerce migration
PHP and MariaDB to Blazor .NET 8. Zero build errors and 100 % of the data migrated.
Inchalam
Time
From 10 days to 4
Z transaction documentation
ABAP portfolio with a dependency tree and business rules, heading to S/4HANA.
Blumar
Time
From 10 days to 3
Supplier evaluation system
Migration from Angular 6 to Angular 21, with no downtime window.
Masisa
Time
From 12 days to 5
Mobile inventory app
Ionic 3 and Angular 5 to Ionic 8 and Angular 21, with the business logic intact.
More than 30 companies have worked with Surpoint.
Long-term relationships in industries where operational continuity matters.
We are not an AI lab.
We are an engineering team that has worked with critical systems since 2009. We combine business knowledge, architecture and AI models to take initiatives into production.
How we work
- We start with a bounded scope, a baseline and an explicit way to measure the outcome.
- We work on your infrastructure and the ecosystem your organisation already uses.
- The code, documentation and operating capability stay with your team.
We work across the ecosystem your organisation already uses.
Partnerships and standards for integrating enterprise AI, data and systems.
Assessment AI-Ready
Two weeks to see what is really happening with AI inside your organisation.
The Assessment identifies what is being used, with which data, where the risks are and which initiatives to prioritise. The diagnostic stands on its own even if you decide not to continue.