Senior consultancy in AI, data and operational systems
Practical AI and data systems for organisations that need to make better decisions
enter 2.0 helps foundations, associations, SMEs and public-interest teams turn scattered information into reliable systems, useful indicators, dashboards, automations and controlled AI workflows.
Based in Navarra, with a close focus on the local area. Given the nature of analysis, data and digital work, it can also work with organisations in any territory when the context allows.
01 — A common problem
The information exists, but it is trapped in spreadsheets, emails, PDFs and informal routines.
Many organisations already have the data they need. The problem is that it is duplicated, incomplete or spread across applications, documents, folders and team memory.
AI can help, but only when the process, the data model, the permissions, the quality of the source and the decision to be improved are all understood.
There is extensive experience in the non-profit sector: foundations, associations, social projects, teams with limited resources and real obligations around management, justification and accountability.
02 — Services
From diagnostic to something usable
The work usually ends in a roadmap, a data model, a dashboard, an automation, an internal tool or a safer way of using AI in real operations.
AI and data diagnostic
Identifies where AI can bring real value and where processes, data and permissions first need to be put in order.
02Data, indicators and dashboards
Turns scattered spreadsheets, forms and applications into reliable indicators for management and accountability.
03Bespoke operational tools
Small internal applications for when Excel, forms and disconnected SaaS no longer support the daily work.
04Fractional IT Director
A senior part-time IT function for organisations that are too small to maintain IT leadership of their own.
05Document and data automation
Processes PDFs, spreadsheets, surveys and repetitive exports with scripts, OCR, rules and human review.
06IT governance, continuity and operations
Clarifies who controls the systems, where the data lives, how access is protected and what happens if something fails.
03 — Lab
Don't take our word for it: try it
Enter the LabInteractive mini-apps that show how the solutions work, with fictional data and the real status of each one: production, pilot, prototype or design.
Invoice and payslip inbox with evidence
Upload PDFs: data extracted with its evidence, duplicates detected, payslips matched against the bank.
Open the demoManagement cockpit
Cross-department matters with an owner, a next step and a committed date. Each area sees its own.
Open the demoDashboard with a decision simulator
Indicators by stage and «Se decide» (it gets decided) switches: which indicators will not arrive on time if a decision is put off.
Open the demoTender and grant radar
PDF of the call → AI-drafted summary sheet reviewed by people → blind vote → traceable decision.
Open the demoENTERBOX: the AI goes to the documents
A device in the office turns documents into searchable information, with local processing and the sources in view.
Open the demoOrganisational memory: the knowledge stays in the company
Reviewed definitions, procedures and decisions in the company's own files, ready for a change of AI tool.
Open the demo04 — Public proof, without exposing private data
Applied experience in platforms, data, automation and IT governance
View allModular operations platform for a foundation
Design of an internal platform to organise people, projects, modules, permissions and operational reporting without exposing sensitive data.
Indicators and dashboards for social monitoring
Structuring of data and indicators so that foundations and associations can better manage, report on and explain their impact.
Survey pipeline and qualitative analysis
Transformation of survey exports into reviewable analytical outputs with Python, pandas, Excel and human judgement.
Document automation with Python and human review
Workflows to extract text, classify documents and generate structured indexes from administrative PDFs.
05 — AI approach
AI proposes; a person decides.
AI as a working layer, not a slogan
AI is used to speed up analysis, documentation, classification, prototyping, data extraction, drafting and decision support. Lasting value comes from combining it with well-defined data, clear processes, proportionate security and human review.
In some cases the solution will be AI. In others it will be a database, an internal screen, a dashboard, an automation script or a governance rule that prevents errors.
06 — Blog
Notes for deciding with better judgement
View allOrganisational memory: keeping knowledge in the company when the AI tool changes
AI assistants need context, and that context is usually built inside a vendor's tool. Curating it as the organisation's own knowledge cards, with sources, an owner and a review date, makes it reviewable and portable.
Knowledge and context for AIWorking with AI assistants without losing the thread: rules and memory in the repository
If a project's context lives in a tool's chat, it is lost when the tool is closed. If it lives in the repository, any assistant or person can carry on from where the previous one left off.
Working method with AILayered security for small internal tools: identity at the edge and failing closed
An internal tool does not need a VPN or an exposed server. It needs identity before anything can be reached, a service that fails closed when configuration is missing, and tunnels instead of open ports.
Security of internal toolsWant to know where to start?
A short diagnostic helps put opportunities, risks and priorities in order before you buy tools or open a large project.