SOLUTIONS
AI and data for large enterprises and public administrations
We work with your architecture, your identity and your policies. We put agents and models into production with traces, cost control and security, govern the data that feeds them and comply with regulation. With the size of a boutique: no intermediate layers and the same team from start to finish.
Governed AI at scale, on the platform you already have.
Agents in production, not endless pilots
On Claude, ChatGPT, Gemini or Azure AI Foundry, with identity, network and governance sorted.
Modern data platform
Fabric, Databricks, Snowflake, Informatica and dbt, cloud or on-premise, with migration from Power BI.
Data and AI governance
Purview, OpenMetadata, Anjana Data, erwin by Quest and Collibra, with AlmIA monitoring data loads in Fabric.
Regulation
EU AI Act, GDPR, Spain's ENS security scheme and an ethical framework for models.
Public tenders
Tender Radar helps presales find and prioritise the tenders that fit you.
Executive dashboards
Power BI and Fabric with KPIs defined once and a single source of truth for every area.
TECHNOLOGY
We choose the AI platform to fit your ecosystem
The engine is chosen by data, cost and ecosystem. A single orchestration layer means switching models doesn't force you to rebuild anything.
- Your sources and applicationsERP · CRM · WhatsApp · Email · Files · Databases
- Bidatia orchestration layerAPIs · Webhooks · n8n · RAG and vector store
- ModelsClaude · ChatGPT · Gemini · Azure AI Foundry · Local LLaMA
- Automations in productionMonitoring · Traces · Cost control · Security
Claude, ChatGPT and Gemini
Agents in production on frontier models when answer quality matters most.
Azure AI Foundry
The natural route if you already work on Azure, with identity, network and data governance sorted.
Low-cost local AI
Open-source models on your infrastructure, no per-token cost and data kept in-house.
A single orchestration layer
Switching models doesn't mean rebuilding the automation.
Generative AI and agents
- Claude (Anthropic)
- ChatGPT (OpenAI)
- Gemini (Google)
- Azure AI Foundry
- Azure OpenAI
- LLaMA and open-source models
- n8n
Data platforms
- Microsoft Fabric
- Databricks
- Snowflake
- Informatica
- dbt
Data governance
- Microsoft Purview
- OpenMetadata
- Anjana Data
- erwin by Quest
- Collibra
Analytics and BI
- Power BI
- Tableau
- Qlik
- Looker Studio
Cloud
- Microsoft Azure
- Google Cloud
- AWS
- On-premise
HOW WE SUPPORT YOU
We help you get the most out of AI
IMPACT AI™ · From curiosity about AI to measurable, governed and sustainable adoption.
We don't leave you with a demo. With IMPACT AI™ we go through six phases with you, each with a decision and a deliverable, until AI is used in your processes, its results are measured and your team can carry on alone.
Identify
We interview leadership and the people doing the work, and map real processes and friction.
Decision 1: Do we understand the problem and the opportunities?
Deliverable: AI Opportunity Canvas™ and Process & Pain Map™
Measure
We measure readiness across six dimensions, backed by evidence, and data maturity with UNE 0080.
Decision 2: Is the company ready?
Deliverable: AI Readiness Index™ and gaps to close
Prioritize
We score value, feasibility, adoption, effort and risk, and decide GO / NO GO.
Decision 3: Which case deserves to go first?
Deliverable: AI Opportunity Portfolio™ and GO / NO GO decision
Activate
We train the team on the use case itself and pilot with controlled scope and defined KPIs.
Decision 4: Does the solution prove its value?
Deliverable: Use Case Canvas™, Pilot Charter and measured result
Consolidate
We measure usage, efficiency and business impact, and adjust adoption.
Decision 5: Is it used and does it deliver results?
Deliverable: Adoption Plan, AI Governance Lite™ and Success Dashboard
Transfer
We leave capability in place by role, plus a backlog, owners and a roadmap.
Decision 6: Can the company carry on?
Deliverable: AI Action Plan™ and roadmap
Shall we talk about your project?
A first 30-minute conversation, no strings attached.