Datagentis
Request a demo

MIGRATION AND MODERNIZATION AT SCALE · WITH AI AGENTS

Scale your AI.Migrate your dependencies.

What you pay today in licences and in maintaining what sits on top, rebuilt to measure with your own AI, orchestrated. The core stays.

Request a demo

Webinar nov 5

Reserve your spot

You run technologyand you have been given a brief

You are a CIO, CTO, CDO, CAIO, or head of systems, data or AI at a company that pays third-party licences and maintains systems nobody wants to touch any more. And you have been asked for this:

Technology professional facing the brief to produce more with the same resources

Brief 1

Produce more with the same resources

  • More deliveries without hiring more people
  • With the AI your teams already use
Technology professional facing the brief to depend less on vendors

Brief 2

Depend less on vendors

  • On the vendors that charge you every year
  • And on the external team that maintains your systems
Technology professional facing the brief to cut fixed costs

Brief 3

Cut the fixed cost of licences

  • Those of the software you already have and pay for every year
  • Without stopping what works today

AI is already in your teams.The brief is still not being met.

Taken separately it seemed to work. But it does not scale: the problem is not the AI, it is how it works.

Your teams' AIYOUR AI

  • Claude
  • Cowork
  • ChatGPT
  • Copilot
  • Claude Code
  • Cursor
  • Codex
  • Windsurf

Today · decoupled AI

Each team, with its own AI and in its own way

  • More code and new bottlenecks: reviewing, testing, integrating and documenting without a common method
  • Every session starts from zero: no accumulated knowledge, more entropy and more tokens
  • People reviewing what the AI produces instead of deciding

With Datagentis · the same AI, orchestrated

Your AI, working with a method

  • Instances that develop, test and document with a single method, without direct human supervision
  • Knowledge accumulates: each job starts from what has been learned
  • People go back to defining, deciding and validating

Orchestrated work and accumulated knowledge.That scales.

More results without hiring more people, with the same tokens or fewer.

And that changes the usual maths: large-scale migrations are now viable.

Building to measure now costsless than paying licences

Before

Development was expensive and complex

That is why it made sense to buy software and pay licences, even if they cost more every year.

Today

Building to measure is viable

With your AI orchestrated, rebuilding as custom software what you pay licences for costs less than going on paying for it.

Four areasyou can already migrate and modernize

You probably have several. Find yours: you choose the target, the vendor’s new version, another platform or your own code.

  • ERP and CRM

    Screens, portals and modules on top of SAP or Salesforce that multiply licences.

    • SAP ECCEnd 2027
    • SAP S/4HANA
    • SAP BTP
    • Salesforce
    • Microsoft Dynamics 365
    • Oracle EBS · Fusion
    • ServiceNow
    • Magento · Adobe Commerce

  • Data integration and platforms

    ETL and integrations paid per core or per consumption, and data platforms you want to unify or change.

    • Informatica PowerCenterLegacy
    • Informatica IDMC
    • IBM DataStage
    • SSIS
    • Oracle ODI
    • SAP BWEnd 2027
    • Talend
    • MuleSoft
    • Databricks
    • Snowflake
    • Microsoft Fabric
    • dbt

  • Dashboards and analytics

    Qlik, Power BI or Tableau: one licence for every person who looks at a report.

    • Power BI
    • Tableau
    • Qlik Sense
    • QlikViewEnd 2027
    • SAP BusinessObjectsEnd 2027
    • IBM Cognos
    • MicroStrategy
    • SAS 9.4End 2028
    • SAS Viya

  • Code and applications

    Decades-old code in COBOL, Visual Basic 6 or Access, integrations that only one person understands and Oracle databases. A host that costs more every year.

    • COBOL · mainframeLegacy
    • Visual Basic 6Legacy
    • AccessLegacy
    • Oracle FormsLegacy
    • PL/SQL · T-SQL
    • Java · Spring Batch
    • C# · .NET
    • Python
    • TypeScript · Node
    • PHP · Go

End 2027Legacysource only · the rest, source and target

Same systems, same AI, same team.A different method.

What changes is how your AI works. This is how we do it, side by side:

Four steps,without stopping your business

  1. 1ScanWe read your code and your systems with read-only access: what is there, what is used and what depends on what.
  2. 2DocumentFunctional and technical documentation of what you have (the reengineering), and the migration plan piece by piece.
  3. 3RebuildYour AI agents, orchestrated, develop and test the new with a single method. Your team decides and validates.
  4. 4MigrateYou switch when the new gives the same result as the old, with your real data.

What goes and what stays

  • Your own extensions are rebuilt
  • The core stays clean and is integrated through APIs
  • What is not used is switched off

The core stays.What surrounds it gets decoupled.

Licences

Fewer

Those of what was built on top of the core and those of every report reader.

Dependencies

Fewer

On vendors and on the team that maintains the systems.

Your core

Intact

SAP, Salesforce or your ERP stay: they are integrated through APIs.

Savings per year

From hundreds of thousands to millions of €

Depending on what you have in each area.

We will tell you live:Thursday, November 5

Webinar · Scale your AI, migrate your dependencies.

16:00 CET (UTC+1) · Madrid · 10:00 COT (UTC−5) · Bogotá, Lima, simultaneous broadcast. Online and in Spanish.

Reserve your spotRequest a demo