Future
We are at the forefront of AI. We test every advance before it reaches your company.
AI transformation consulting for companies
We bring the future into the present, wherever we collaborate.
We are an AI consultancy for businesses. We redesign your processes and train your team so the latest in AI works in your day-to-day.
The system is your company
More than 50 projects in more than 10 industries
Trust is built by doing.
Manifesto
AI is changing how companies work.
We transform yours from the inside.
We redesign processes. We build capabilities.
Why AI Mate
Innovation only counts if it works in your company.
Present
We only bring what works on today's challenges: the email nobody sorts, the report rebuilt by hand.
Collaboration
We join your team. First we do it, then we teach it, and in the end you need us less and less.
We bring the future into the present, wherever we collaborate.
See what already works in companies like yoursKeep scrolling
Three fronts of the transformation
Your team, your processes and your data.
One specific challenge or the whole transformation.
AI-Adoption
Your team, working with AI every day.
Where to apply AI and how to bring it into your team's daily work.
Discover AI-Adoption- Assessment and roadmap
- Hands-on training
- Governance
- Ongoing support
AI-Automation
Your processes, running on their own and under control.
Your tools connected: less manual work, more control.
Discover AI-Automation- AI agents
- Workflows
- Integrations
- Monitoring
AI-Solutions
Your data, turned into a system of your own.
Your own solutions when your challenge needs them.
Discover AI-Solutions- Internal assistants
- Company knowledge
- Custom applications
- Development and integration
What we work with
The tools you already use, connected with AI.
Claude
HubSpot
Microsoft 365
n8n
Google Workspace
ChatGPT
Slack
Power BI
Holded
Make
Shopify
Gemini
Salesforce
WhatsApp
Python
Zapier
Excel
Notion
Copilot
Mistral AI
Google Sheets
Teams
Power Automate
MCP
Google Drive
Hugging Face
Azure
Google Cloud
Real cases
Results already being measured in companies like yours.
+60
professionals trained in AI
Boehringer Ingelheim
AI-Adoption
More than 60 professionals using AI in their daily work
An adoption plan and four training programmes that took AI from initial interest to daily use, always within the company's own tools.
9
executive committee directors, one by one
Frit Ravich
AI-Adoption
Nine directors, three sessions, seventy use cases
AI adoption started at the top: the executive committee learned with its own documents and now drives its AI Office.
70%
faster CV screening
Euromanager
AI-Automation
CV screening 70% faster
An agent that reads, summarises and compares every application, so the consultancy can spend its time on people.
AI in action
This is how AI works inside a real company.
Real systems, seen from the inside. Pick an area.
Simulation with fictitious data from a real system.
A thousand CVs. One morning.
- Today
- Reading, summarising and entering each CV into the system. One by one.
- With AI Mate
- AI reads and compares all thousand. You decide who to interview.
- Input
CVs received
Email and portal
Open process: 1,000 applications received.
- AI
Reading and summary
Common format
Every CV, summarised in the same format.
- Rule
Fit with the role
Six requirements
Compared against the role's six requirements.
- System
Record in the ATS
Synced
Records created in the recruitment system.
- Person
Decision
Who to interview
24 interviews proposed. The consultancy decides.
Based on a real case: Euromanager
One receipt. Fifty insurers.
- Today
- Looking up the policy, checking the bill and choosing among fifty insurers.
- With AI Mate
- Policy identified, amount validated and sent to the right insurer.
- Input
Receipt by email
Dozens a day
New receipt: bank transfer of €412.60.
- AI
Reading
Payer, amount and policy
Policy HG-7781 identified in the reference.
- Rule
Validation
Matches the bill
Matches the outstanding bill. No double charges.
- System
Sent to the insurer
Payment reconciled
Sent to the right insurer. Payment reconciled.
- Person
Unclear cases
The team decides
Anything that doesn't add up goes to the team with a note.
Based on a real case: Alea Broker
The meeting ends. The CRM is already up to date.
- Today
- Remembering what was said and filling in the CRM. Or leaving it for later.
- With AI Mate
- The meeting summarises itself into the CRM. The salesperson just reviews.
- Input
Sales meeting
Video call
Meeting ended: Example Energy, 32 minutes.
- AI
Transcription and extraction
Need, amount, next step
Key data extracted from the conversation.
- Rule
Validation
Complete data and permissions
Fields complete. Access permissions correct.
- System
CRM
Record updated
Record updated in the CRM.
- Person
Sales
Reviews and decides
Salesperson review. Next step scheduled.
Based on a real case: One Hub Energy
The machine alerts before the customer does.
- Today
- The customer calls, waits and someone searches the manual.
- With AI Mate
- The machine sends an alert and the assistant writes to the customer with the steps.
- Input
Machine alert
IoT, at any hour
Machine 0231: error E4 at 9:42.
- AI
Assistant
Understands the alert
E4: water tank empty.
- System
Data and manuals
Real status
Tank empty since 9:40. Manual: refill and restart.
- AI
Message to the customer
With the steps
Message sent to the customer with the steps to follow.
- Person
Technician
If it needs escalating
Solved without escalating. The technician, for what matters.
Based on a real case: Cafès Cornellà
The roads inspect themselves.
- Today
- Driving the road, taking notes and typing each incident into a report.
- With AI Mate
- Cameras detect and prioritise. The team heads out with the report done.
- Input
On-road images
Vehicle cameras
Route 12: 1,840 images captured.
- AI
Computer vision
Detects and classifies
Three incidents detected and classified.
- Rule
Priority
By severity
Priority assigned by severity.
- System
Incident map
Geolocated
Incidents placed on the map.
- Person
Maintenance
Acts with judgement
Maintenance report ready. The team decides where to start.
Based on a real case: AMSA
Ask your data like you'd ask a colleague.
- Today
- Finding the report, filtering, cross-referencing tables. For one question.
- With AI Mate
- You ask as you would a colleague and the answer comes from your data.
- Person
Question
In natural language
“How is the fresh line doing this month compared to last year?”
- AI
Assistant
Understands the question
Understood: fresh line sales, September, year-on-year comparison.
- System
Secure connector
The usual permissions
Access with the user's permissions.
- System
Dashboard
Real data
Data retrieved: 1,240 orders.
- AI
Answer
With the figure and the context
Answer with the figure, the comparison and the reason.
Based on a real case: Delicat Aliment
The AI Mate method
Five steps to transform your company with AI.
Understand
First, the people and the business.
We listen to the people who do the work and place every opportunity on our Opportunity Map.
Opportunity Map
Connect
We connect what you already use.
AI integrates with your ERP, CRM, email and documents. No copying by hand.
Connected systems
Train
Everyone using AI in their daily work.
Training on real processes, climbing our Delegation Ladder.
Delegation Ladder
Automate
Repetitive work changes hands.
Workflows and agents complete whole tasks. A person decides when needed.
Automated processes
Measure
What works, grows.
We measure hours, times and errors, and extend it to other areas.
Continuous improvement
The result
Your data, your team and your processes, working together.
This is what a company working with AI looks like. Where would yours start?
Scroll to see it step by step
Team
About us
Martí Domingo
Co-founder & CEO
Andrea Suárez
Co-founder & COO
Marcelo Garcés
AI Consultant
Aritz Abuin
AI Engineer
Eric Sáez
AI Engineer
Leandro Álvarez
AI Automation & Agent Developer
Loreto Rubio-Odériz
Senior Advisor
Alfonso Castañer
Business Development & Project Manager
Alba Domingo
Operations Lead
Miguel Ordóñez
Marketing & Project Manager
Pau Gómez
AI Engineer
David Ramos
AI Engineer
Frequently asked questions
FAQWhere do we start?
With a conversation about your business: where work gets stuck, what tools you use and what you want to achieve. From there, we define a starting point with a clear scope and goals.
Do you also develop and implement?
Yes. We connect assessment, design, development and training. We support the launch and evolution of the solution with the team that will use it.
Do we have to change our tools?
First we look at what you already use. The proposal aims to integrate AI into your processes and systems; any change is weighed on its usefulness and feasibility.
How do we measure whether it's working?
We agree on metrics before we start: time per task, quality, errors, operational capacity and real usage. We compare the starting point with the results of the process.
How long does it take to see real results?
A few weeks. We prioritise cases with quick impact and combine strategy, development and training from the start to deliver tangible results.
Do we need an in-house technical team?
No. We take care of the technical side and train your team so it can work with the solutions on its own.
What happens to our data?
We sign a non-disclosure agreement (NDA) before any assessment and define data access and processing requirements before building. Data never leaves your infrastructure without explicit agreement.
Next step
Let's talk about your business.
Tell us what you want to improve. We'll work out together where to start.
Book a callm.domingo@ai-mate.es
Not sure yet? Find your starting point with AI Mate.
Find your starting point with AI Mate