P&L In Vistral: Real-Time Financial Automation and AI-Powered Analytics

The Problem (The Pain) The current financial closing process has critical inefficiencies that directly impact the organization's agility and resources:

Loss of time and money: The manual system consumes excessive working hours, leading to high operational costs.

Lack of operational agility: Leadership and the finance team face constant delays in accessing information, which slows down strategic decision-making.

Complexity and data dispersion: There is a critical dependency on 5 independent documents and 48 different spreadsheets to execute standard tasks.

Inefficient maintenance: Every time a new accounting ledger/account is created, it must be manually added and replicated across multiple sheets and tabs.

High operational risk: Heavy manual data entry creates a significant margin for human error.

Outdated information: Financial data is not available in real time (live).

Impact on Stakeholders Both investors and banks must wait up to 10 days to receive the financial closing, which is far from ideal.

Financial Impact Example: Having outdated information prevents timely reactions. For instance, if compensation data were managed on time, the team could anticipate scenarios, react much sooner, and save up to €30,000 in penalties or misalignments.

The Solution: P&L In Vistral P&L In Vistral is the centralized platform that transforms financial control through end-to-end data automation:

One-click access: Immediate consultation of the full P&L details.

Dynamic filters: Ability to instantly segment information by company, date, and view type.

Deep dive (Drill-in): Clicking on any number or metric automatically displays a breakdown of all associated engagements, showing key details such as price, day, and status.

Robust and live infrastructure: The entire database has been successfully migrated to Snowflake, achieving the technological milestone of connecting and streaming information 100% live.

Automated Reporting (BBVA Spark): Eliminates the need to prepare ad hoc reports at the end of each month; the BBVA Spark report is now generated and sent completely automatically.

Game-changing Consolidation: The system automatically generates the consolidated "master sheet" (sábana) for all group companies, removing manual unification processes.

Applied Artificial Intelligence The platform integrates advanced AI capabilities to act as a co-pilot for the finance team through two main features:

Smart Mapping: The AI proactively identifies new companies created in the system and suggests automatic mapping proposals to keep the structure organized.

Live Analytics Assistant: Through an interactive model (where users can ask questions directly and the AI responds in real time), complex database queries can be resolved instantly. This facilitates the immediate analysis of business trends or the management of bad debt (unpaid invoices).