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Enterprise & Industry Insights

Enterprise & Industry Insights

The AI coworkers already on the job

The AI coworkers already on the job

The AI coworkers already on the job

Rohan Mahajan

Rohan Mahajan

5 min

5 min

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An AI coworker does not arrive as a feature toggle. It arrives the way a new hire does: assigned to a business unit, sitting next to specific roles, carrying a defined roster of things it owns.

Most AI product pages read like a feature list because most AI products are a feature list: a summarizer here, a classifier there, each one living inside whatever tool it was bolted onto. That works fine for a single task. It falls apart the moment you try to explain what the AI actually does to the operations lead who has to manage it, because there is no it. There is a pile of features with no org chart.

So instead of a feature list, here is the roster. Five business units, the human roles each one already runs on, and the coworkers we have built to sit next to them.

Banking

Works alongside: Relationship Managers, Banking Operations Leads

A bank’s own team spends its day toggling between three or four systems just to move one corporate account forward. The Banking coworker owns that motion instead of assisting with pieces of it.

  • Corporate Onboarding coworker. Carries a case from KYC to a live account in core banking, updating the CRM and logging exceptions as it goes, so the relationship manager sees one status instead of three.

  • Fraud Detection coworker. Watches onboarding and transaction patterns for the kind of anomaly an analyst would flag, and routes anything ambiguous to a person rather than silently blocking it.

  • Marketing coworker. Turns a relationship manager’s book of accounts into targeted, compliant outreach, without a separate marketing team hand-building every segment.

None of the three touch just one system. All three touch the ones a banking team already lives in, all day.

Lending

Works alongside: Credit Officers, Underwriters

A loan application is really three jobs wearing one name: intake, underwriting, and the long tail of servicing after the money is out the door. Lending teams usually staff all three separately because each one demands a different kind of judgment. The coworkers underneath this unit are built the same way.

  • Credit Onboarding coworker. Pulls applicant data across income, bureau, and identity sources into one case file before a credit officer ever opens it.

  • Underwriting coworker. Applies policy rules against the case file and flags the exceptions, rather than the whole file, for an underwriter’s review.

  • Loan Servicing coworker. Tracks what is due against a loan management system and a CRM’s contact history, and hands off the moment a case involves hardship or a dispute instead of a routine reminder.

Insurance

Works alongside: Insurance Underwriters, Claims & Operations Leads

Group insurance runs on four parties agreeing with each other: the employer, the broker, the insurer, and every employee enrolled. Most of the friction in this business is not underwriting risk, it is four systems disagreeing about the same policy.

  • Insurance Onboarding coworker. Syncs enrollments, endorsements, and exits across employer, broker, and insurer systems without anyone re-keying the same update four times.

  • Quoting coworker. Turns a scheme’s parameters into a real-time quote instead of a multi-day back-and-forth between broker and underwriter.

  • Claims Endorsement coworker. Matches a claim against policy terms and coverage history, and routes anything that does not cleanly match to a claims officer instead of guessing.

A renewal date that shifts because the insurer’s cycle does not match the employer’s payroll calendar used to surface three weeks too late, buried in a spreadsheet nobody cross-checked. Catching that on day one is most of what this unit is for.

Verification & Compliance

Works alongside: Underwriting and Compliance teams across Lending and Insurance

This unit sits underneath the other two rather than beside them. Every account, loan, or policy that gets onboarded eventually has to answer two questions: is this person who they say they are, and is this business what it says it is.

  • Verification coworker. Runs address and identity verification as a mobile, selfie-based journey, replacing a person physically visiting an address, and escalates only when a document is unclear or a location will not resolve.

  • Compliance coworker. Runs KYB checks against submitted documents and works through the ownership chain, surfacing the kind of detail that is easy to miss in a stack of PDFs and expensive to miss in a compliance review.

Enterprise Operations

Works alongside: HR & Benefits Leads, Finance Operations Managers

The least visible unit and, in most organizations, the one drowning in the most manual reconciliation. Employee data changes constantly, and every system that depends on it, payroll, benefits, travel, finds out late.

  • Workforce Activation coworker. Keeps HRMS, payroll, and downstream systems in sync as employees join, move, and leave, instead of quarterly reconciliation catching the drift months later.

  • Reconciliation coworker. Matches records across finance and HR systems and flags the mismatches, rather than producing a report someone still has to investigate.

  • Travel & Expense coworker. Applies policy to a trip or an expense claim in real time, against live employee and cost-center data, instead of a claim bouncing back for correction three days later.

AI becomes part of the workforce, not another layer of software.

That line is doing more work than it looks like. A layer of software gets evaluated on features. A workforce gets evaluated on outcomes: whose job got done, how fast, and what still needed a person. Every coworker on this roster is built to be judged the second way; not on what it can technically do, but on whether the unit it sits inside actually got its job done because it was there.

Coworkers with real jobs and measurable outcomes, organized the way the org chart already is, not the way a feature list would have you organize them.

One platform. Across workflows.

One platform. Across workflows.

Tartan helps teams integrate, enrich, and validate critical customer data across workflows, not as a one-off step but as an infrastructure layer.

Tartan helps teams integrate, enrich, and validate critical customer data across workflows, not as a one-off step but as an infrastructure layer.

Tartan helps teams integrate, enrich, and validate critical customer data across workflows, not as a one-off step but as an infrastructure layer.