Barcelona · AI Agent Consultancy · est. 2023
We build custom AI agents that roll up their sleeves — they analyse, write reports, move data and free your team to do the stuff that matters. In your language, with your stack, no fluff.
/ AGENT · SALES-Q4
Analyse October sales and flag stores with a drop > 8%
I've flagged 7 stores with a drop over 8% vs. October last year. The highest concentration is in the north-central zone. I've sent the breakdown to Slack and drafted an email to the area manager.
SALES — TOP 7 DROPS Δ -12.4% avg
Ask the agent anything…
02 — Models & privacy
We work with private models, hybrid setups or our own SaaS. In all three: your data, your intellectual property and your processes are protected. No training on your information, no transfers outside the EU, GDPR guaranteed by contract.
An AI model that runs on a dedicated, exclusive cloud infrastructure for your company — it sends no data to external model providers, does not train on your information and shares no hardware or network with any other client. Your knowledge stays home.
01 · Private
A cloud instance just for you. Nothing shared.
We deploy open-source models on a dedicated cloud instance exclusively for your company — on Ambia Cloud or your preferred European cloud. Single-tenant, isolated, managed by us.
02 · Hybrid
Public for the trivial, private for the sensitive.
On the same dedicated instance, a router decides which queries can go to a public cloud model and which stay within the private perimeter. You write the rules. Save cost and latency without giving up control.
03 · SaaS Ambia
Our platform. Ready. Working in 48h.
If you don't want a dedicated instance, get access to our multi-tenant platform with pre-built agents. Encrypted and isolated per tenant, EU residency, DPA contracts signed. No technical setup needed.
02.5 — Ethical framework
We see AI as a real transformation tool — but also as a technology that must be deployed with judgement, responsibility and control.
All our services are built under a framework of regulatory compliance, security, transparency and human oversight, referencing the EU AI Act, GDPR and best practices in data governance.
We design, deploy and support AI solutions that respect the principles of legality, proportionality, transparency, traceability and security. Innovation must not conflict with responsibility.
Each project is analysed specifically to determine which obligations apply, what controls to implement and what documentation is required.
We promote AI that is understandable for teams, auditable when necessary and aligned with business objectives.
Our approach allows you to adopt AI solutions with greater confidence, reducing legal, technical and operational risk from day one.
AI should help make better decisions, not replace human judgement without control. Relevant decisions always remain under human oversight.
We believe AI will be a key driver in the evolution of business processes: automation, document management, data analytics, customer service, assisted decision-making and operational optimisation.
We support our clients not only on the technical side, but also in defining the usage model, documentation, training, data governance and compliance with the applicable legal framework.
"Only well-governed AI can deliver real, lasting value."
03 — Capabilities
We don't sell "digital transformation". We sell specific agents that do specific tasks and give specific hours back to your team. Here are the four we get asked for most.
Automation
That heavy process that currently takes three people, multiple emails, spreadsheets and copy-paste — an agent does it, any hour of the day, without complaining.
Real examples
Documentation
Monthly reports, memos, proposals, meeting minutes. The agent writes them in your brand's tone at the click of a button.
Real examples
Business Intelligence
Responds in 2s
Ask your data anything. In plain English. No SQL. No waiting for someone to share a dashboard.
Real examples
Private AI
100% GDPR
For when the data is sensitive. Open-source models on a dedicated, exclusive cloud instance for your company — managed by us, EU residency, isolated.
Real examples
04 — How we work
We hate six-month projects that go nowhere. Here your first agent is running before the end of week six.
Week 1
A call with you and whoever is suffering through the process. We identify where the hours leak and where it really hurts.
Week 2–3
We build a working agent in 10 days. You use it. You criticise it. We break it. We adjust.
Week 4–5
We integrate it into your real stack — your CRM, Drive, Slack, ERP. With your data and your permissions.
Week 6
We put it in production, train your team and stay close for the first month. No surprises.
Fixed price per phase. No "we'll bill by the hour and see what happens". You know the cost before you start.
05 — Sectors
The agent adapts to the sector context, but the logic is the same: wherever there's a repetitive process, there are hours to recover.
Forecasting, dynamic pricing, order triage, multichannel customer service.
Contract review, due diligence, case law summaries, GDPR.
Consultation transcription, scheduling, reminders, clinical records.
KYC onboarding, reconciliations, regulatory reporting, risk alerts.
Predictive maintenance, routing, traceability, quality control.
Lead qualification, valuations, visit management, listing copy.
Personalised tutors, automatic marking, material generation.
Bookings, kitchen ERP, stock forecasting, post-service surveys.
Briefs, proposals, campaign reporting, content at scale.
06 — Case study
The operations team spent every Monday extracting data, building Excel charts and writing the weekly report. An agent now does it in 4 minutes. With more detail. And nobody misses the old way.
Before
3h 45min
With Ambia
4min
Agent → done
"On Monday mornings I used to open my email with dread. Now I open the report with coffee."
07 — Stack
We don't make you change your CRM or add another SaaS. The agent connects to your existing tools — running on a dedicated cloud instance exclusive to your company.
Private AI
Open-source · running on dedicated cloud instance
Selective
Only when data allows — via API
Updated: November 2026
Default recommendation: always start with a private model. We only use cloud for queries with no sensitive data — and you always decide, not us.
AI × ERP
With AI, traditional ERP systems transform into intelligent platforms that learn from data, adapt to changing conditions and optimise business intelligence in real time — increasing overall efficiency and reducing costs.
90s
Modular management of business processes. The term and the market are born.
2000s
ERP as a cohesive business strategy. Single source of truth for large corporations.
2010s
ERP becomes crucial for managing and analysing large volumes of data in real time.
2020s
LLMs, advanced NLP and machine learning drastically reshape the landscape. ERP that talks to you.
Today
End-to-end automation, business copilots, agents that act — not just report.
AI-powered ERPs learn from business data, adapt to changing conditions and optimise intelligence in real time.
Organisations applying generative AI to ERP data are already seeing higher profitability (Institute for Business Value).
ERPs manage every part of the business in one unified platform. AI turns that source into a strategic asset.
Data entry and analysis, anomaly detection, demand forecasting, report generation — all automated.
Ask in plain English, get an answer in seconds. No SQL, no technical training. Applied NLP and machine learning.
Cloud systems benefit from greater computing power, enabling more robust and scalable AI applications.
Advanced ML models and natural language processing capabilities have made ERP systems easier to use and more accurate, ushering in a new era of sophisticated enterprise software.
We integrate AI agents directly on top of your existing ERP — SAP, Odoo, Microsoft Dynamics, Sage or any other. No migration, no reinvention. We add intelligence on top of what you already have.
Given the range of AI tools available for ERP integration, the technology has a wide variety of practical applications. These are the most common implementations.
IoT sensors and digital twins monitor critical equipment to forecast routine maintenance or flag issues before they cause costly breakdowns.
Using historical and third-party data, the ERP anticipates market fluctuations and syncs forecasting with inventory systems to prevent stockouts. ML optimises cash flows and generates more accurate spend projections.
AI automates coding, testing and application lifecycle management, facilitating data migration and translation of legacy code to modern systems.
NLP and RPA streamline invoice processing and routine admin, reducing manual entry errors and accelerating payment cycles through automatic receipt verification.
Using NLP and ML, the ERP automatically resolves common issues, responds to queries in real time around the clock, and drafts emails and account reports using generative AI.
HCM modules use AI to automate routine tasks, personalise the employee experience, provide learning recommendations and surface talent during recruitment.
ML algorithms and AI-powered search in B2C and B2B platforms surface goods and services meeting specific criteria — sustainability constraints, budget limits or buyer preferences.
AI analyses historical workflow data stored in the ERP and recommends more streamlined, cost-effective or sustainable processes, revealing inefficiencies and bottlenecks.
One of the first AI use cases in ERP: automatically flags potential fraud and KPI anomalies, providing an early warning system that frees compliance teams for complex tasks.
Intelligent order management monitors and optimises fulfilment: constraint-based routing, automatic customer updates, inventory tracking and disruption detection.
NLP and ML summarise long reports or documents and extract key information for human teams — particularly useful for legal, compliance or large-volume internal documents.
08 — Let's talk
A 30-minute call. No sales pitch. If we see an agent that makes sense for you, we'll tell you. If not, we'll tell you that too.
