Deterministic AI for
Enterprise Finance.
Your best people spend 75% of their time on work a machine should own. See how Kognitos moves finance teams up the value pyramid by giving the operational work to AI built for finance, deterministic, context-preserving, and auditable.
Key takeaways
- Finance teams spend up to 75% of their time on reconciliations, exception handling, data prep, and approvals, not judgment or analysis.
- Finance AI has three non-negotiables: deterministic execution, preserved context, and a plain-English audit trail.
- An estimated $5M–$15M per $1B in revenue is recoverable every year from manual work, trapped cash, and revenue leakage.
- Exceptions are the job, not edge cases. Kognitos automates the exception work traditional systems hand back to people.
- Proven in production at 20+ clients, with 100+ SOPs automated and 170,000+ hours saved annually.
Finance teams still spend most of their hours on reconciliations, exception handling, data preparation, approvals, and manual coordination, not on judgment, analysis, or advice. Kognitos moves finance people up the value pyramid by giving the operational work to AI built for finance, designed from day one around the requirements a finance organization cannot compromise on.
This one-pager lays out why finance cannot accept black-box automation, the three non-negotiables for finance AI, and the value at stake, distilled for CFOs, controllers, and finance operations leaders evaluating agentic AI.
The three non-negotiables for finance AI
- Deterministic execution. Same input, same output, every time. No hallucinations and no surprises, the neural network reasons while symbolic code executes every step.
- Preserve context. Institutional nuance is retained and prior decisions become reusable intelligence, not knowledge lost when people leave.
- Keep the receipts. Every action is auditable and every decision explainable, reviewable by compliance and auditors in plain English, with no code to unwind.
The value at stake: $5M–$15M per $1B in revenue
Manual work, trapped cash, revenue leakage, exception handling, and compliance effort silently drain value from finance operations, an estimated $5M to $15M recoverable per $1B in revenue, every year. Because exceptions are not edge cases, they are the job. Traditional systems automate the standard path and hand every exception back to a person; Kognitos automates the work that automation leaves behind.
Why existing investments haven’t solved it
You have already invested in SAP, Oracle, NetSuite, Workday, Blackline, ServiceNow, UiPath, and Automation Anywhere, yet finance teams still spend their days on exceptions. These systems automate the standard path and escalate everything else to people. Kognitos reasons through the exception with its context graph, turning documented finance processes into deterministic, audit-ready automations in weeks.
Claude is for everything. Kognitos is for finance.
Most AI tools focus on generating answers. Finance requires more than an answer, it requires a defensible, repeatable action. Kognitos is a neurosymbolic automation platform, patented since 2021, not a wrapper on an LLM, built for finance workflows, controls, auditability, and exception-heavy processes: deterministic, context-preserving, auditable, and governed. Processes are expressed as English as Code, making it AI-native finance you can put in front of an auditor.
Proven in production
- In production at 20+ clients, at scale, with measurable outcomes
- 100+ total SOPs automated to date
- 170,000+ hours saved annually
- Cash Application, Reconciliation, AP Exceptions, Journal Entry Prep, and Month-End Close
Bring us one SOP
Bring one standard operating procedure, Cash Application, Reconciliation, AP Exceptions, Journal Entry Prep, or Month-End Close, and we will show you the first version of the automation in days, not months. Not sure where to start? Take the free Finance Operations Automation Assessment, download the one-pager for the full overview, or schedule a finance automation workshop.
Frequently asked questions.
What makes Kognitos different from general-purpose AI for finance?
General-purpose AI is designed to answer questions; Kognitos is designed to execute finance operations. It is a neurosymbolic automation platform, patented since 2021, that combines neural understanding with symbolic execution, so every action follows your business rules and every decision can be explained field by field. It is built for finance workflows, controls, auditability, and the exception-heavy processes that general AI tools route back to a human, delivering a defensible, repeatable action rather than just an answer.
How much value can finance teams recover with deterministic AI?
Kognitos estimates $5M to $15M is recoverable per $1B in revenue every year. Manual work, trapped cash, revenue leakage, exception handling, and compliance effort silently drain value from finance operations. Because exceptions are the job rather than edge cases, automating the work that traditional systems hand back to people is where that value is recovered.
What are the three non-negotiables for finance AI?
First, deterministic execution: the same input produces the same output every time, with no hallucinations, the neural network reasons while symbolic code executes every step. Second, preserve context: institutional nuance is retained and prior decisions become reusable intelligence rather than knowledge lost when people leave. Third, keep the receipts: every action is auditable and reviewable by compliance and auditors in plain English, with no code to unwind.
Is Kognitos auditable for compliance and audit teams?
Yes. Every action Kognitos takes is logged and explainable field by field, and can be reviewed by compliance and auditors in plain English without unwinding code. This makes it AI-native finance you can put in front of an auditor, and it is built into the patented architecture by design rather than added by policy.
Why haven’t existing finance systems solved the exception problem?
Investments in systems like SAP, Oracle, NetSuite, Workday, Blackline, ServiceNow, UiPath, and Automation Anywhere automate the standard path and hand every exception back to a person. Exceptions are not edge cases, they are the job, so finance teams still spend their days on reconciliations, exception handling, data preparation, and approvals. Kognitos automates the work that automation leaves behind by reasoning through exceptions with its context graph.
