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.

Recognized by Leading Analysts

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
  1. 01Read the invoicemodel
  2. 02Decide what to checkmodel
  3. 03Skip the receipt check this timedrift
  4. 04Post to the ERPmodel
Same invoice, 8 runs (illustration)

A Kognitos AI employee

Runs the SOP you approved
  1. 01Read the invoicestep 1
  2. 02Build the fingerprintstep 2
  3. 03Detect exact and fuzzy duplicatesstep 3
  4. 04Block, hold or releasestep 6
Same invoice, 8 runs
40%

Of enterprises will demote or retire autonomous AI agents by 2027 over governance gaps.

Gartner prediction, May 2026
50%

Of AI agent failures by 2030 will come from too little governance at run time.

Gartner prediction, March 2026
15

Models 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, 2026

Hire 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.

ReadyRuns from the library once your systems are connected To buildQuill drafts it from the library; your team finishes it Don’t see the role? Quill builds it from how your team works today.
Kognitos AI EmployeesEnglish-as-Code

Read the SOP. Then read exactly what it did.

AI writes the SOP.
The SOP runs as written.
Every step stays on record.

What is neurosymbolic AI?
Duplicate invoice detection · SOP · AP Specialistv4 · published

Screens an incoming supplier invoice to catch duplicates before they reach payment.

  1. 1Open a duplicate-screening case for the invoice.
  2. 2Build the invoice fingerprint and pull the comparison set.
  3. 3Detect exact and fuzzy duplicate candidates.
  4. 4Diagnose each flagged candidate.
  5. 5Recommend a disposition.
  6. 6Apply the disposition to the ERP and the case.
“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.”
Jim McCullenCIO, Century Supply Chain
Jim McCullen
Kognitos AI EmployeesExceptions

When it’s unsure, it asks. Then it remembers.

It pauses instead of guessing, and every approved answer is one less question next time.

JR
Hold it and email the buyer on the PO. Northline enters service receipts at month end, so this will keep happening.
New guidance, pending approval: “For Northline service POs with no goods receipt before month end, hold the invoice and email the buyer.”

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.

[ JBI Interiors ]JBI Interiors
“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.”
Scott Mallory, President & CEO, JBI Interiors
Kognitos AI EmployeesContext graphs

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.

A context graph: four linked records

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”.

Runs that needed a person, per 100 · AP Specialist · weeks 1–12 · illustrationguidance or knowledge approved
Kognitos AI EmployeesHow it compares

Built for work you have to defend.

Kognitos AI employeesOther AI agentsSuite agents (ERP, CRM)RPA
What runsYour SOP in English, compiled to codeA model choosing each next stepA model inside one vendor's systemScripts and selectors
Same input, same stepsYes, deterministicallyNot guaranteedNot guaranteedYes
Who can read the logicYour controller and your auditorEngineersAdminsDevelopers
Audit recordA journal of each step, mapped to the SOPTraces and tool logsPlatform logsRun logs
Unexpected casesPause, ask a person, learn with approvalRetries or a coded pauseHand off to a personFail
Kognitos AI EmployeesPatented

Built on English-as-Code, which we invented.

Software that runs plain English, since 2020. Two US patents granted, more pending.

US 11,972,222 B2 · 2024

Natural language programming of a new function or skill

Teach a running program a new skill in plain English, without restarting it.

Read the patent ↗

US 12,561,133 B2 · 2026

Coding interactively without having to restart a procedure

Undo a step in a running procedure and continue from there, using versioned memory.

Read the patent ↗

7 applications · pending

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

Banking

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.