AI Payroll Financial Services. 85% Zero-Touch. Regulator-compliant.
Collective, non-tariff, risk taker, trading, sales. Five regimes. One payslip.
The AI Agent classifies compensation regime, bonus cap, and deferral split. Calculations run through deterministic rule engines. The human stays in the loop where regulatory reporting or the remuneration framework requires it. (UK: FCA/PRA Remuneration Code and SMCR apply.)
Parallel compensation regimes
Zero-touch rate
Bonus deferral period
High rule complexity
CRD V / EBA remuneration guidelines, MiFID II. (UK: FCA/PRA Remuneration Code, SMCR.) Zero-touch: Gosign simulation model.
What the Agent classifies
Five regimes, one Agent
Five compensation regimes, bonus caps, deferral stretching across years, retroactive malus/clawback, regulatory reporting. You know the complexity. Here is how the AI Agent resolves it:
5 compensation regimes in parallel
Collective agreement, non-tariff, risk taker, trading, sales/advisory - each regime with its own calculation logic. The AI Agent identifies the correct classification from contract data, function, and total compensation. On regime change during a career transition: automatic adjustment of all calculation parameters.
Bonus deferral over 4-5 years
40-60% of variable compensation deferred, split into equity and cash components, up to 20 parallel tranches. The AI Agent manages each tranche with its own vesting date and checks the bonus cap (100% of fixed pay, 200% with shareholder resolution) automatically against CRD V / EBA remuneration requirements.
Retroactive malus/clawback
Clawback spanning 5-7 years following compliance breaches or risk events. The AI Agent detects relevant events from internal reports and prepares the case. The decision is always made by a human - financial regulators require personal accountability for enforcement.
Regulatory trading obligations
10 consecutive mandatory leave days per year, no splitting allowed. The AI Agent automatically checks whether the leave block is observed and escalates to HR in time. No manual calendar checks, no missed compliance deadlines.
Regulatory reporting obligations
Annual compensation report covering risk taker compensation, deferral balances, and malus/clawback events. The rule engine generates reporting data automatically from payroll records. Additionally, MiFID II checks: variable components demonstrably linked to client outcome quality. The report is submitted to the financial regulator as part of regulatory reporting requirements.
One financial services payslip. 30 to 60 micro-decisions.
A risk taker at a universal bank. The Payroll Decision Layer breaks down their payslip into individual decision steps:
| Step | Decision | Decision maker | Rationale |
|---|---|---|---|
| 1 | Classify compensation regime | AI Agent | Agent identifies: collective (grades 1-9), non-tariff, risk taker, trading, or sales/advisory from contract data |
| 2 | Check risk taker status | AI Agent | EUR 500,000 threshold (or local equivalent), EBA identification against function catalogue |
| 3 | Calculate fixed salary | Agreement/contract | Collective: grade lookup from tariff table. Non-tariff: individual terms from contract data |
| 4 | Calculate variable compensation | Rule engine | Performance assessment, bonus cap 100% of fixed salary (200% with shareholder resolution) |
| 5 | Calculate deferral split | Rule engine | 40-60% over 4-5 years, allocation into equity and cash components, vesting dates |
| 6 | Perform malus review | AI flags, human decides | AI detects compliance breaches more reliably. But malus decisions carry personal liability - employee representation bodies and financial regulators require human accountability |
| 7 | Check regulatory mandatory leave block | Rule engine | 10 consecutive leave days per year, substitution arrangements, escalation on non-compliance |
| 8 | Calculate social security contributions | Rule engine | Social security contributions, ceiling checks, occupational pension |
| 9 | Generate regulatory report data | Rule engine | Annual compensation report: risk taker data, deferral balances, clawback events for regulatory submission |
| 10 | Generate journal entries | Rule engine | FI/CO posting, multi-entity booking, deferral provisions - deterministic |
Simulation
Calculated for financial services volumes
We configured the Payroll Decision Layer with realistic financial services parameters and ran the simulation. CRD V / EBA remuneration guidelines, MiFID II. (UK: FCA/PRA, SMCR.) Five compensation regimes, deferral periods spanning years.
Simulation parameters
| Employees | 2,000 to 30,000+ (front office, middle office, back office) |
| Compensation regimes | 5 in parallel: collective (grades 1-9), non-tariff, risk taker, trading, sales/advisory |
| Risk taker threshold | EUR 500,000 total compensation (or local equivalent), EBA identification |
| Bonus cap | 100% of fixed salary (200% with shareholder resolution) |
| Deferral | 40-60% over 4-5 years, equity/cash split |
| Malus/clawback | 5-7 year clawback period |
Before / After
| Dimension | Manual | Decision Layer |
|---|---|---|
| Error rate | 1-8% (APA) | < 0.1% |
| Zero-touch rate | 0% | 85% |
| Deferral administration | Spreadsheets, error-prone | Automated, versioned |
| Risk taker identification | Annually, manual | Continuous, automatic |
| Regulatory report | Weeks (manual preparation) | < 24h (auto-generated) |
| Audit readiness | Manually reconstructed | Automatically generated |
APA: American Payroll Association. CRD V / EBA remuneration guidelines, MiFID II. Simulation results: Gosign model calculation.
In our simulation, the Decision Layer achieves a zero-touch rate of 85%. The remaining 15% are genuine exceptions: risk taker borderline cases, malus decisions, regime changes on function transitions. For the 85%, a complete, audit-ready decision record is available.
Architecture and implementation
The Payroll Decision Layer runs entirely within your infrastructure. For financial services, this means: integration with core banking systems, processing of risk taker identification, regulatory rule engines for CRD V / EBA remuneration requirements, and a complete audit trail through to SAP HCM. Typical pilot projects launch within 3 months with one compensation regime and one employee group.
Deep Dive in the Agent Briefing (Gosign Magazine)
Our expert article series for decision-makers deploying AI Agents in the enterprise.
Payroll Decision Layer in Other Industries
Every industry has its own collective agreements, its own premium rules, and its own complexity drivers. The Decision Layer is the same. The configuration is industry-specific.
Chemicals
169 base pay rates (13 districts x 13 grades), shift premiums, Future Amount
Aviation
3 unions, 14-18 collective agreements, EASA FTL, cockpit seniority up to step 23
Retail
576 base rates (16 regions x 6 grades x 6 steps), 64% part-time, seasonal peaks
Frequently Asked Questions about the Financial Services Configuration
How does the Decision Layer distinguish between five compensation regimes?
The AI Agent classifies each employee based on contract data, function, and total compensation into one of five regimes: collective agreement (grades 1-9), non-tariff, risk taker, trading, or sales/advisory. Classification runs automatically from the employee master record. When an employee changes function and regime, all calculation parameters adjust automatically - with a complete audit trail.
How does the bonus deferral calculation work under financial regulation?
The bonus cap is checked by the rule engine: 100% of fixed salary as the ceiling, 200% with a shareholder resolution. For risk takers, the rule engine calculates the deferral split: 40-60% of variable compensation is spread over 4-5 years, divided into equity and cash components. Each tranche has its own vesting date and a separate malus review. Under financial regulation such as CRD V and EBA guidelines (implemented nationally as remuneration codes), deferral, clawback, and buy-out rules are enforced automatically.
How is risk taker status determined?
The AI Agent checks two criteria: total compensation above EUR 500,000 (or local equivalent) and functional identification per EBA guidelines. For borderline cases (just below the threshold, function changes), the Decision Layer escalates to a compliance officer. The human decides because financial regulators require personal accountability for misclassification.
How are malus and clawback cases handled?
The AI Agent detects compliance breaches and risk events from internal reports. The rule engine calculates the affected deferral tranches. But the decision to trigger a malus or clawback is always made by a human. The reason: clawback periods spanning 5-7 years carry employment law and liability consequences that a machine cannot be held accountable for.
How does the Decision Layer ensure regulatory reporting obligations?
The rule engine automatically generates the annual compensation report from payroll data. All risk taker compensation, deferral balances, and clawback events are structured and prepared. The AI Agent classifies the reporting obligation per employee. The result is an audit-ready data set that can be submitted directly to the financial regulator as part of compensation reporting requirements.
Is the system compatible with employee representation requirements?
Yes. Employment law provides consultation rights for employee representation bodies on pay principles and remuneration policies. The Payroll Decision Layer makes the rule engine transparent, decisions traceable, and reports pseudonymised. The AI classifies facts but does not calculate salaries - deterministic rule engines do. Employee representatives can trace every decision.
Let us run the numbers.
30 minutes. Your compensation regimes, your deferral rules, your result. We configure the Decision Layer with your actual parameters.
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