AI employees for finance and banking. They follow your SOPs and show their work.
Each one is hired into a role, runs the same English-as-Code SOP every time, and asks a person when it’s unsure.
Kognitos AI employees are AI agents hired into finance and banking roles, each with a job description, SOPs and clear limits.
Quill, our builder agent, writes those SOPs in plain English. That English is what runs, the same way every time, on our patented English-as-Code engine.
What is an AI employee?
An AI employee is an AI agent hired into a specific finance or banking role, such as AP Specialist, with a job description, written SOPs and limits on what it can do alone. It runs the same steps every time, shows its work, and asks a person when it’s unsure.
How is agentic AI used in finance?
Agentic AI in finance handles repeatable work like invoice processing, reconciliation and the month-end close. Most agents decide each step as they go, which auditors won’t accept. Kognitos AI employees run approved SOPs instead, and every run leaves a journal an auditor can read.
Other agents improvise. Auditors reject them in production.
Most AI agents decide each step as they go. That’s fine for an email. It isn’t for paying an invoice or closing the books, where you need the same answer tomorrow.
A typical AI agent
Decides each step at run time- 01Read the invoicemodel
- 02Decide what to checkmodel
- 03Skip the receipt check this timedrift
- 04Post to the ERPmodel
A Kognitos AI employee
Runs the SOP you approved- 01Read the invoicestep 1
- 02Build the fingerprintstep 2
- 03Detect exact and fuzzy duplicatesstep 3
- 04Block, hold or releasestep 6
Of enterprises will demote or retire autonomous AI agents by 2027 over governance gaps.
Gartner prediction, May 2026Of AI agent failures by 2030 will come from too little governance at run time.
Gartner prediction, March 2026Models tested over 18 months. Accuracy rose, but results still changed from run to run.
Rabanser, Kapoor et al., Towards a Science of AI Agent Reliability, 2026Hire it like a role.
Supervise it like a team member.
Hire
Pick a role, see what it does and won’t do, and hire it.
Onboard
Quill drafts each SOP from your systems for you to approve.
Supervise
Choose which actions it takes alone and which need a person.
Audit
Every run keeps a journal of each step and system call.
61 roles. Ready to hire.
Each role comes with SOPs from our library of 515. Open one to see what it does and what’s ready today.
Read the SOP. Then read exactly what it did.
AI writes the SOP.
The SOP runs as written.
Every step stays on record.
Screens an incoming supplier invoice to catch duplicates before they reach payment.
- 1Open a duplicate-screening case for the invoice.
- 2Build the invoice fingerprint and pull the comparison set.
- 3Detect exact and fuzzy duplicate candidates.
- 4Diagnose each flagged candidate.
- 5Recommend a disposition.
- 6Apply the disposition to the ERP and the case.
- Opened case DUP-7781step 1
- Fingerprint built, 214 invoices to comparestep 2
- 1 exact match foundstep 3
- Diagnosed TRUE_DUPLICATEstep 4
- Recommended: block for paymentstep 5
- step 6Staged for approvalapproved by [J. Rivera] · 10:42
- step 6Payment block postedemail → AP team
“What’s different about Kognitos is they’ve created an engine where you can teach the engine what to do in English… whenever it runs into that exception again, it knows how to manage it.”

When it’s unsure, it asks. Then it remembers.
It pauses instead of guessing, and every approved answer is one less question next time.
It stops instead of guessing.
The run pauses at the exact step and explains the problem. Your team answers, and it carries on.
Fixes are approved before they’re reused.
An answer becomes guidance for next time only after an approver signs it off.
“Kognitos helped us eliminate 3,300 hours of manual work per year. Their team understood the human element of AI, and it has been a fantastic partnership.”
It learns what your systems don’t. And shows you what it learned.
Every AI employee works from a context graph of your apps, plus what your team teaches it. Everything it learns stays reviewable.

Tribal knowledge, captured
Facts your systems miss, like two vendor records that are one company, are added with a reason. Your systems are never changed.
Every judgment call, on record
Each decision keeps who made it, when and why, ready for the next time it comes up.
Behavior you can audit and edit
Everything it learned shows who added it and why, and can be edited or retracted.
Fewer runs need a person over time.
You decide when an action moves from “ask first” to “act”.
Built for work you have to defend.
| Kognitos AI employees | Other AI agents | Suite agents (ERP, CRM) | RPA | |
|---|---|---|---|---|
| What runs | Your SOP in English, compiled to code | A model choosing each next step | A model inside one vendor's system | Scripts and selectors |
| Same input, same steps | Yes, deterministically | Not guaranteed | Not guaranteed | Yes |
| Who can read the logic | Your controller and your auditor | Engineers | Admins | Developers |
| Audit record | A journal of each step, mapped to the SOP | Traces and tool logs | Platform logs | Run logs |
| Unexpected cases | Pause, ask a person, learn with approval | Retries or a coded pause | Hand off to a person | Fail |
Built on English-as-Code, which we invented.
Software that runs plain English, since 2020. Two US patents granted, more pending.
Natural language programming of a new function or skill
Teach a running program a new skill in plain English, without restarting it.
Coding interactively without having to restart a procedure
Undo a step in a running procedure and continue from there, using versioned memory.
Learning, replay and regression
Learning from exceptions, replaying and editing past runs, and testing against history.
FAQs
What is an AI employee?
An AI employee is an AI agent hired into a specific finance or banking role, such as AP Specialist, with a job description, written SOPs and limits on what it can do alone. It runs the same steps every time, shows its work, and asks a person when it’s unsure.
How is agentic AI used in finance?
Agentic AI in finance handles repeatable work like invoice processing, reconciliation and the month-end close. Most agents decide each step as they go, which auditors won’t accept. Kognitos AI employees run approved SOPs instead, and every run leaves a journal an auditor can read.
How are AI employees different from AI agents for finance?
Most AI agents decide each step as they go, so the same invoice can be handled differently from run to run. An AI employee runs the SOP you approved the same way every time, keeps a journal of every step, and asks a person when a case doesn’t fit. See how agentic AI platforms for finance compare.
Which finance and banking processes can AI employees automate?
Each role opens its profile, with its SOPs and what it won't do.
Finance
- AP and invoice processing: AP Specialist (see how to automate accounts payable and 3-way match automation)
- Reconciliation: Reconciliation Accountant (see AI platforms for automated reconciliation and automated reconciliation software)
- Cash application and collections: Cash Application Specialist (see AI tools for cash application) and Collections Specialist
- Month-end close: Close Manager (see the zero-headcount close)
- Intercompany: Intercompany Accountant (see intercompany reconciliation)
- Treasury: Cash Manager
- Tax: Tax Provision Accountant and Indirect Tax Analyst
- Payroll: Payroll Specialist
- Internal controls and SOX: Internal Controls Analyst (see SOX evidence collection)
Banking
- KYC and onboarding: KYC & Onboarding Analyst (see KYC automation and KYC and customer due diligence)
- Loan processing: Loan Processor & Closer
- Card disputes and chargebacks: Card Disputes Analyst
- Payments: Payments Operations Specialist
- Trade finance: Trade Finance Operations Specialist
Banking SOPs are in the library and still to be built with your team.
What if our SOPs aren't written down?
Most teams’ aren’t. Quill studies your connected systems and recent transactions, drafts the SOP in plain English and tests it on your real cases. You approve it before it runs.
Can it approve its own work or release a payment on its own?
No, unless you allow it. Roles are split along separation-of-duties lines, and payment release and journal approval stay with a person by default.
How do I audit what it did?
Each run has a journal: every step in English, every system call, any exceptions and who resolved them, and the SOP version that ran.
Is my data safe?
Kognitos is SOC 2 Type II and ISO 27001 certified and HIPAA compliant, runs on AWS with EU and APAC residency options, and doesn't train shared models on your data.
Make your first hire. Start with one role.
Quill discovers and builds its SOPs with your team, on your real cases.