AI with serious architecture. Without big-company corporatism.
We apply AI in Spanish mid-market companies where processes start to hurt and there are already proprietary systems to respect. Acotated pilots with scalable architecture, ERP/CRM integration, and internal teams that will operate the solution.
Every new initiative clashes with data fragmentation. AI over dirty data amplifies chaos.
Beyond 100 people, bottlenecks appear in ops, finance and support. Hiring isn't the answer, and budget doesn't allow it.
GDPR, sector-specific, ISO. Without tools you have to dedicate near-full-time people.
The committee doesn't approve projects without explicit business case. Each AI initiative competes against other investments.
Acotated scope, fixed price, guaranteed timeline. No big-consultancy corporatism or freelancer improvisation.
We map the real process (not the manual's) with the people executing it. We calculate hours, cost and target hours with conservative and aggressive scenarios.
We choose the cheapest layer that solves the problem. Design ready to scale to other processes without re-architecture.
API integration with ERP, CRM, BI and proprietary systems. Weekly iteration with real demo, not report.
We move to 100% volume. Train operators and supervisors. Set up dashboards with business metrics for committee and leadership.
We\'d rather refuse a project we won\'t execute well. We publish this list to save you and us time.
Invented cases with metrics consistent with our real ranges.
AI agent that reads statements, cross-checks with ERP invoices and proposes journal entries. Controller validates most in one click; exceptions get flagged.
Bot with access to client data in Salesforce, ticket history in Zendesk and documentation. Resolves billing and service status queries.
Semantic search over 3,000 historical proposals and tender responses. Consultants find precedents in seconds.
We always work via API or webhook against your current systems. We never touch internal code of your ERP/CRM. The AI layer deploys as a separate service with read-only connection initially, and write access limited to specific endpoints you approve.
Technical design phase (week 3-4) includes a meeting with your IT team to review integration, permissions, limits and rollback plan. Before writing code we validate no risk of breaking operations.
Complete operational documentation (what the system does, how to change parameters, how to escalate incidents) + 4-6 h training to the team operating the process + included support for first quarter.
By design we avoid exotic dependencies: the system is maintainable by reasonable profiles (a data engineer or DevOps from your team or your regular IT provider). Never a black box only we can touch.
Typical pilot: 8-12 weeks, €15-80k depending on integration complexity and volume. Fixed price before starting, weekly milestones with real demo.
For tighter budgets (€10-15k) we work with more acotated scope: single process, no complex integrations. When the pilot works, it scales with additional budget. When it doesn't work, no post-commitment.
That's what we recommend. An acotated pilot per area (e.g., reconciliation automation in finance) demonstrates ROI in a controlled context with clear sponsor and your own data.
From that validated pilot, scaling to other areas (support, sales, operations) is much faster and cheaper because you already have the architecture set up and internal learning. Just replicate the pattern.
Typical project for mid-market companies: €15–80k per project. Free 30-min diagnosis. Acotated scope, no scope creep, no annual contract.
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