Thesis
The transformation journey. From operational chaos to predictability.
The thesis Praxis is built on — and how we work with every client.
In industrial and energy companies in Iberia, day-to-day operations are marked by an invisible but expensive fragmentation. Management systems exist. What's missing is the connective tissue — and the method to weave it.
The four symptoms of operational chaos
Excel as a system
Excel becomes the unofficial main system. Data is duplicated and manually manipulated. Multiple versions of truth coexist.
Data in silos
Vital information isolated in emails, CRMs, ERPs and network folders. Real-time holistic view of the business is impossible.
Irreplaceable heroes
Operational success depends on the heads of a few specialists. Tacit knowledge nowhere documented.
Repetitive tasks
Skilled teams typing invoices and triaging tickets. Systematic underuse of talent.
The same operation, two outcomes.
On the left: how most industrial back-offices look today. On the right: what Praxis builds. Same data, same systems, different method.
Before
Operational chaos
Errors
↑
Time
↑
Risk
↑
After
Praxis operation
STP
87%
Cycle time
-62%
Hours freed
+280h
What defines a Lighthouse Project
We don't sell tools. We build strategic guides.
A Lighthouse Project isn't just technology — it's an intervention that shifts a culture from "firefighting" to data-driven operations. It lights the path to scalability.
Structured in three layers:
01
Data
Consolidating ERP, sensor, CRM and billing flows into a unified view. Single source of truth.
02
Intelligence and semantic model
The LLM doesn't read raw data. It reads a semantic model — logical tables of customers, invoices, operations. That's what eliminates hallucinations and respects business rules.
03
Interaction and channels
Where friction disappears: chat (Teams, Slack, portals), web interfaces, integrations with the tools people already use.
Traditional vs. AI-assisted
The thread isn't just speed. It's design for exception: AI processes volume flawlessly; humans intervene where judgment adds real value.
| Domain | Traditional flow | Praxis flow | Value leap |
|---|---|---|---|
| Industry · Invoices | Manual PDF typing into ERP. Posting errors, delays, lost early-payment discounts. | Intelligent JSON extraction with OCR + LLM. Automated 3-way match (invoice, PO, receipt). | Total elimination of typing. Reduced fine risk. Cashflow maximization. |
| Energy · EV Operations | Manual navigation across silos (billing, CRM, EV platforms). Diagnosing offline stations or billing errors takes time. | Operations copilot with natural-language queries. Immediate identification of charge session anomalies. | 30-min diagnostics become instant. Critical uptime improvement. |
| HR · Helpdesk | Teams overloaded with repetitive FAQs. Sensitive tickets lost in vacation-balance noise. | Transactional AI agent solves queries and executes actions (HCM, ITSM). Smart escalation on sensitive topics. | 60–80% of HR time freed. Human focus dedicated to talent management. |
The three KPIs that measure all of this.
For C-level, AI must stop being hype and become a lever for EBITDA, margin and risk management.
STP
% Automation
Volume of processes completed without human touch. Straight-through processing as the primary metric.
Time
Cycle Time
Acceleration between data entry and accounting/resolution. Cashflow and SLA depend on this.
Capacity
Hours Freed
Skilled hours recovered for strategic work. Reduces operational cost per transaction.
From fragmentation to predictability.
Digital transformation isn't a destination. It's a journey of executive rigor. The future belongs to companies that treat automation as a core strategic capability — not as an isolated IT project.
“Strategy without execution is PowerPoint. Execution without strategy is fireworks. Real transformation happens where the plan meets the automated flow.”