It’s time.Finance is entering the AI Native era.
fyscal is building autonomous financial AI agents to handle the manual, error-prone gaps between contracts, invoices, ERP records, banking reconciliations, and variable cloud/AI infrastructure costs.
Variance explained
Pricing schedule and invoice differ by €6,000.
For CFOs, controllers, finance directors, and teams designing audit-ready AI workflows.
Process Fractures
Where finance work still breaks
The software systems are fully integrated. The actual workflow remains manual.
The control layer
Autonomous Contract-to-Cash Agent Flow
A modern visual model demonstrating how our AI Native agents trace data discrepancies and queue them for validation.
- Every mismatch shows its sources
- Every proposed action stays reviewable
- Every system keeps its existing control boundary
fyscal autonomous finance stack
Early contract-to-cash agent prototype
Contract schedule vs. billing record
€6,000 variance · evidence chain complete
Operating Framework
From scattered sheets to a reviewable flow
Our AI-native platform organizes chaotic operations into clean, explainable tasks in three minutes.
Step 01
1. Agents connect the records
Autonomous agents ingest spreadsheet logs, invoice APIs, contract text, and ledger balances dynamically.
Step 02
2. AI models identify mismatches
Our system auto-analyzes values side-by-side, flagging overbilling, unbilled fees, or misallocated vendor costs.
Step 03
3. Reviewers confirm actions
Confirm the prepared adjustment, and our AI agents automatically sync the validated entry back to your systems.
Target Audience
Designed for audit-ready finance teams
Empower your operators with autonomous agents that work 24/7 inside your ledger safeguards.
CFOs & Finance Directors
Introduce robust, AI-native internal controls, avoid revenue leakage, and establish governance over variable cloud and AI spend.
Controllers & Finance Managers
Trade hours of tedious Excel lookups for a modern, explainable AI queue that highlights discrepancies instantly.
Billing & RevOps Teams
Validate complex tiered pricing agreements and subscription contracts against actual customer invoice histories.
FP&A & Cloud-Cost Owners
Decode variable API compute bills, model-token expenditures, and server infrastructure costs across teams.
Discovery Process
Start with one real workflow
A focused, 20-minute operational review designed to deliver immediate engineering insight.
Step 1: Discuss the problem
Focus on a real operational variance or manual check that recently required tedious spreadsheet reconciliation.
Step 2: Map the systems
Outline the specific files, systems (e.g. SAP, Stripe), and manual handoffs currently required to clear it.
Step 3: Preview an AI agent
Examine a tailored concept mockup of how our AI-native financial agents could automate and explain the reconciliation.
Trust & control
Honest Stage & Security Boundary
fyscal is currently working with finance teams to identify the first workflow worth solving deeply. Some experiences shown on this site are early prototypes or concepts, not production software.
FAQ
Frequently Asked Questions
Honest answers about fyscal’s AI agents, security parameters, and co-development stage.
One workflow. Twenty minutes. Clear next steps.
Spend less time stitching systems together.
Spend more time making the decisions that matter.
Start with one real workflow. Evaluate where the manual gap sits, and explore our autonomous agent concepts over a 20-minute call.