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MiFID II AI in Investment Services — ponens Policy Pack

This pack maps the ESMA Public Statement on the use of Artificial Intelligence (AI) in the provision of retail investment services (ESMA35-335435667-5924, 30 May 2024) onto computable ponens policies. It is the EU conduct lens: ESMA reads AI use through firms’ existing MiFID II obligations — best interest, suitability, transparency, risk management, and recordkeeping — complementary to the IOSCO (global supervisory evidence) and FIX (agentic runtime) packs.

Source: ESMA Public Statement ESMA35-335435667-5924 (30 May 2024).

Why this maps onto ponens

ESMA’s throughline is that “firms’ decisions remain the responsibility of management bodies, irrespective of whether those decisions are taken by people or AI-based tools,” and that AI must always serve clients’ best interest. The Statement does not create new AI rules; it states what MiFID II already requires when AI is in the loop. Several of those requirements — the recordkeeping clause (¶24) and the ex-ante / ex-post accuracy controls (¶16) in particular — read almost directly as trace policies, so the mapping is tight rather than interpretive.

ESMA / MiFID II obligationponens
What a firm must do / record when AI assists a servicethe trace
A specific MiFID II expectationa policy (temporal formula)
Conduct breach vs. soft expectationverdict error-fail (Red) / warning-fail (Amber)

Trace model

Worked traces: examples/esma_mifid_ai/governed.json (all 14 Green) and violating.json (9 Red + 4 Amber). Run ponens trace check <file>.

The pack

errorRed; warningAmber.

Best Interest & Transparency (communication / conformance) — ¶7–9

PolicyFormulaRAG
ai_use_disclosed_to_clientG(client_interaction → ai_disclosed)R
ai_information_clear_fairG(client_facing → clear_fair_not_misleading)A
acts_in_client_best_interestG(Recommendation → best_interest_assessed)R

Suitability & Conduct (conformance) — ¶20

PolicyFormulaRAG
recommendation_suitableG(Recommendation → suitability_assessed)R
product_governance_alignedG(Distribution → target_market_aligned)R

Accuracy Controls (safety) — ¶16

PolicyFormulaRAG
ai_output_accuracy_controlled (ex-ante)G(client_facing → P(accuracy_checked))R
ai_information_monitored (ex-post)G(ai_driven_information → post_review)A

Risk Management & Testing (safety) — ¶11–13, 21

PolicyFormulaRAG
ai_tested_before_deploymentG(Deploy → P(tested ∧ validated))R
training_data_representativeG(Deploy → data_representative)R
ai_stress_testedG(Deploy → stress_tested)A

Outsourcing & Competence (workflow) — ¶14–17

PolicyFormulaRAG
outsourced_ai_due_diligenceG(third_party_ai → due_diligence_done)R
staff_competent_for_aiG(client_information → staff_competent)A

Record Keeping (auditability) — ¶23–24

PolicyFormulaRAG
ai_records_maintainedG((Decision ∨ Output) → logged ∧ data_sources_recorded ∧ algorithm_recorded)R
ai_complaints_recordedG(complaint → recorded)A

Aggregation

ponens trace check aggregates the pack: any error fail ⇒ Red (non-zero exit); else any warning fail ⇒ Amber; else Green. On the worked violating trace this yields Red with 9 error findings (e.g. an undisclosed AI interaction, an unsuitable recommendation, an untested deployment, missing AI records) and 4 Amber.

Out of scope

The firm-level MiFID II machinery the Statement also invokes — management-body oversight and governance structures (¶10), and the broader EU digital framework (AI Act, DORA) — is organisational rather than per-trace and is not expressed here.