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AI governance for capital markets and non-bank finance, where AI moves money and markets.
Algorithmic trading, asset management, NBFCs, payments, and fintech lending - financial services runs autonomous AI at the points where a single unexplained action becomes a regulatory event. The forensic bar is already set.
Regulators already expect trigger-level reconstruction
SEBI vs. Jane Street
India's markets regulator impounded ₹4,843.57 crore (~US$565–580M) over alleged algorithmic index manipulation on expiry days. The message to every algo deployer: regulators now expect post-trade forensic reconstruction of algorithmic logic, version-controlled, trigger by trigger.
When the regulator asks "reconstruct what your system did," the evidence either exists at the action level or it does not exist.
Four places financial-services AI meets the regulator
Algorithmic trading
SEBI's framework mandates exchange-assigned Algo IDs, kill switches, and full execution logging, fully mandatory since April 1, 2026. In the EU, MiFID II/MiFIR impose similar algorithmic-trading controls, and the EU AI Act classifies AI in financial trading as warranting heightened oversight. The Jane Street action set the forensic bar globally.
SEBI · MiFID II · EU AI Act · Exchange surveillance
Asset & wealth management AI
Robo-advisory and portfolio agents make recommendations that carry suitability and fiduciary duties. The SEC's AI-washing actions, from Delphia to Presto, show that what you claim your AI does must match what it actually does. FINRA's scrutiny of AI-driven recommendations and the EU AI Act's transparency requirements add further layers.
SEC · FINRA · EU AI Act · Suitability
NBFC & fintech lending
Digital lenders run underwriting agents at volume and speed, often on alternative data. RBI's digital-lending and FREE-AI expectations, explainability, audit trails, accountability regardless of autonomy, apply no less to a fintech than to a bank.
RBI digital lending · FREE-AI
Payments & transaction monitoring
Payment authorization, fraud scoring, and AML agents act in milliseconds on money in motion. A false block or a missed flag is a customer-protection and AML question, and both demand the evidence behind the call.
AML · Consumer protection · DORA
How Nexovern answers
Every trading, advisory, and lending agent inventoried (MAP). Trigger-level execution evidence and decision-path reconstruction for any order, recommendation, or credit decision (MEASURE). Kill switches for trading algorithms, approval gates on high-impact actions, and blast-radius limits enforced at runtime (MANAGE), with the remediation trail SEBI and SEC scrutiny demands.
MAP · MEASURE · MANAGE
Map, Measure, Manage, for systems that move markets
Map
Every trading algorithm, robo-advisor, and lending agent inventoried with owners, risk class, and exchange or regulatory identifiers, the registry SEBI, the SEC, and DORA's ICT risk framework expect you to produce, aligned to NIST AI RMF for US institutions.
Measure
Trigger-level execution records for trading, decision-path evidence for credit and advisory, the post-trade and post-decision reconstruction the Jane Street bar made standard.
Manage
Kill switches for trading algorithms, approval gates on high-impact decisions, and hard limits on what each agent can reach, enforced at the system level.
- For SEBI / the exchange: "Reconstruct this algorithm's behavior on expiry day.", ordered, trigger-level execution record.
- For the SEC: "Does your AI do what your disclosures say it does?", evidence of actual runtime behavior, not marketing.
- For MiFID II / EU AI Act: "Show us your algorithmic trading controls and AI system documentation.", compliance-mapped to MiFID II RTS 6 and EU AI Act requirements.
- For the RBI / fair-lending review: "Why was this borrower declined?", reconstructed decision path with the specific factors.
- For the board: "Are our autonomous systems operating within policy?", continuous adherence scores and enforcement logs.
When the regulator says "reconstruct it,"
have the record ready.
We're engaging with financial-services enterprises across capital markets, asset management, and fintech in India, the US, and Europe. A demo maps your AI stack against SEBI, SEC, RBI, MiFID II, DORA, and EU AI Act expectations.