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Every model decision is a defensible decision.

Defensible decisions and AI speed, achieved together. Indian banking AI faces the dual scrutiny of RBI, SEBI and IRDAI on every model-led decision. SMMARUN turns that scrutiny into a single operating discipline.

Where we work

Four governance domains. One operating posture.

i.

Credit, lending & fair-lending

AI-driven underwriting, propensity, and collections systems built against RBI's FREE-AI seven Sutras: fairness, transparency, accountability, and the right of the customer to a human review held as code, not as policy.

  • Fair-lending bias monitoring in production
  • Reason-codes generated with every decision
  • Human-override pathways named and audited
ii.

Underwriting, claims & insurance fairness

Underwriting bias testing across protected attributes. Claims fairness audits. Customer-facing AI with IT Rules 2026 disclosure built in. Model transparency for IRDAI reporting, and the third-party InsurTech vendor governance that goes with it.

  • Demographic-fairness testing for underwriting AI
  • Claims-AI false-positive monitoring
  • InsurTech vendor due-diligence frameworks
iii.

Fraud, financial crime & markets

Agent-driven detection, triage, and disposition for AML, transaction monitoring, APP fraud, and market-side surveillance. Pre-trade guardrails as policy-as-code. Built so a model's confidence interval is never the only thing standing between a customer and a frozen account.

  • Explainable scoring at the alert level
  • Investigator-in-the-loop case management
  • SEBI-aligned model-risk documentation
iv.

Customer, servicing & data privacy

Servicing copilots, document intelligence, and grievance-routing agents that move volume without losing the consent thread. DPDPA-grade data handling baked into every prompt, every retrieval, every log, across both banking and insurance customer flows.

  • Consent-aware retrieval architectures
  • SGI & deepfake disclosure in customer-facing AI
  • Vernacular-language guardrails for 12+ languages
The Defensible AI Equation

Three services. One discipline. Defensible AI in banking.

AI Governance, Fairness & Risk Management

Lifecycle, model risk, fair lending.

AI lifecycle governance from development through production. Model risk management for trading and fraud systems. Fair lending controls and algorithmic transparency, evidenced for RBI, SEBI and IRDAI.

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Your AI investments deliver returns because the controls hold while the system moves. The estate is held against RBI FREE-AI, SEBI, IRDAI v2.0, DPDPA, IT Rules and NPCI as one operating posture.

  • DPDPA readiness, operationalised
  • RBI FREE-AI: the seven Sutras, in practice
  • SEBI algorithmic-trading and disclosure alignment
  • IRDAI v2.0 cybersecurity and 347 audit controls
  • Model risk management for credit, fraud and trading systems
  • Use-case registries with named accountability
  • ByteVerity deterministic evidence substrate integrated
Masterclass in AI Governance

Board, CXO and technical leadership literacy.

Boards making AI decisions with the calibration of a regulator-led review. CXOs designing to the line, not guessing where it sits. Technical leads who know what the model audit will ask before it asks.

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Calibrated for board, CXO, technical and risk audiences in turn. Curriculum anchored to ISO 42001, NIST AI RMF, EU AI Act, and the India regulatory stack. Co-branded certification with premier academic institutions.

  • ExecClass for boards and CXOs
  • Three-day intensive for technical & risk leadership
  • Cohort-based, peer-to-peer, on-the-record
  • Curriculum anchored to ISO 42001, NIST AI RMF, EU AI Act, and the India regulatory stack
  • Shrink-wrapped, Tailor-Made, or Hybrid delivery
  • Co-branded certification with premier academic institutions
Digital Risk Governance Platforms

Blast-radius caps and jurisdictional binding.

ByteVerity's Governor plane enforces blast-radius caps (LOW, MEDIUM, HIGH) with tier-bounded approver gating. The Sovereign plane binds data to jurisdiction under DPDPA Section 16 and RBI FREE-AI guidance. EvoluteIQ powers compliance automation, transaction monitoring and regulatory reporting.

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EvoluteIQ's enterprise automation scales compliance, transaction monitoring and regulatory reporting workflows with guardrails encoded as policy. ByteVerity's Governor plane enforces blast-radius caps; the Sovereign plane binds data to jurisdiction under DPDPA Section 16 and RBI FREE-AI guidance. Full audit trace on every orchestration step.

  • ByteVerity: signed, un-tamperable evidence of every AI execution
  • EvoluteIQ: enterprise automation, Gartner MQ RPA 2025, 3,000+ connectors
  • Sovereign plane jurisdiction binding (DPDPA Section 16, RBI FREE-AI)
  • Governor plane blast-radius caps (LOW / MEDIUM / HIGH) with tier-bounded approver gating
  • Full audit trace on every orchestration step
  • Sector-specific guardrails encoded as policy from start
AI Governance + AI Master Class + Digital Risk Platforms = Defensible AI
How we engage

Twelve weeks. Three phases. One practice that does not separate the platform from the people who run it.

i. Weeks 1–4

Assess

Audit your AI surface area across banking and insurance lines: RBI FREE-AI, SEBI, IRDAI, DPDPA, and IT Rules 2026 exposure. Surface the three highest-consequence agents and the three governance gates that must hold first. No tools, no licences. Only the read.

ii. Weeks 5–8

Implement

EvoluteIQ stood up with sector-specific guardrails (explainability, consent, fair-lending, underwriting fairness, IT Rules disclosure) encoded as policy, not prompt. Two pilot agents move from intake to production with full audit trace, on a path the regulator could follow.

iii. Weeks 9–12

Embed

Governance committee operationalised, model owners named, model-risk, fraud-ops, underwriting and claims roles re-cut for an AI-enabled operating model. The SMMARUN masterclass curriculum delivered. You leave with a practice, not a platform.

Compliance scope
RBI FREE-AISEBIIRDAI v2.0DPDPAIT Rules 2026NPCI
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