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AskEnola

AskEnola is an AI-powered CFO command center that automatically generates MRR curves, P&L statements, Budget vs. Actual reports, and QBR packs from connected financial systems. The platform uses a deterministic framework called BADIR™ to ensure every metric follows fixed definitions, eliminating conflicting numbers across teams. It connects natively via OAuth to systems like Snowflake, QuickBooks, Stripe, and Salesforce without requiring data migration.

San Francisco, United States · HQ
Founded 202571K+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Enterprise Software
  • Financial Technology
  • Software Only
Updated 16 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Finance teams spend the first week of every month manually rebuilding the same reports—MRR curves, P&L statements, Budget vs. Actual analyses, and QBR decks—from disparate systems. This cycle is error-prone, time-consuming, and often results in conflicting numbers across teams because metric definitions vary or drift between queries and analysts.

Solution

AskEnola provides an AI-powered CFO command center that automatically generates the full finance reporting package the moment books close. The platform connects directly to existing systems via OAuth, queries data in place without copying or storing it, and applies a proprietary BADIR™ framework to ensure every output is deterministic and traceable to source data. Users can ask financial questions in plain English, run root cause analysis on variances, and set threshold alerts, all through a single interface. Every report follows fixed metric definitions, so the same question returns the same answer regardless of who asks or how it is phrased.

Target Audience

Primary customers are CFOs and finance teams at SaaS companies, as well as founders, product leaders, and executives who need real-time visibility into financial performance and faster decision-making.

Features

  • Automated generation of MRR curves, bookings reports, P&L statements, Budget vs. Actual variance analyses, and QBR packs with no manual reconciliation
  • Deterministic output engine built on the BADIR™ framework (Business Question, Analysis Plan, Data Collection, Insights, Recommendations) that locks metric definitions and prevents methodology drift
  • Native OAuth connectors to Snowflake, Redshift, BigQuery, QuickBooks, Stripe, Salesforce, and other systems, with custom integrations supported within one week of onboarding
  • Plain-English natural language querying with full traceability to source data and automated root cause analysis on any variance
  • SOC 2 Type II certified with AES-256 encryption, zero data retention, and row-level security that carries over from existing systems
  • Self-updating forecasting and threshold-based alerts that notify users when metrics cross predefined limits
This profile is AI-generated and may contain inaccuracies.