AI-Native · Operational Risk Intelligence

Your GRC records the risk.
Compler tells you what it costs — and what’s coming.

An AI-native operational risk platform where AI agents quantify financial exposure, surface emerging risk months early, and run on LLMs that stay inside your own country, your own cloud, or fully air-gapped. So your CRO and CFO act on evidence, not estimates.

Request a demo →See the value

Continuous risk sweepLive · 10,000+ indicators

60–80%

Efficiency & accuracy gain over traditional RCSA cycles

90%

Predictive accuracy for risk events 6–12 months ahead

257

Regulatory changes per day monitored automatically

$50M+

Financial impact quantified per risk event

Why Compler

Legacy GRC records risk. Compler reasons about it.

Traditional GRC or IRM suites began as systems of record and added an AI copilot on top. Compler is AI-native — agents do the assessing, every output is a quantified financial figure, and the data stays where your regulator says it must.

Traditional GRC suites

—RCSA runs once or twice a year as a manual workshop sprint.

—AI arrives as a copilot chat window, bolted onto the record.

—Risk shown as qualitative red-amber-green heat maps.

—One shared cloud — data residency is a configuration footnote.

—Months of implementation before first value.

Compler, AI-native

✓Agents assess, test, and re-score controls continuously — no campaign season.

✓Every output is a structured, auditable field inside the operational record.

✓Exposure quantified in dollars ($10K–$50M+) with Monte Carlo & Basel IV capital.

✓Choose your LLM jurisdiction — in-country, your own cloud, or air-gapped.

✓First insight in under 30 days; full payback in under 8 months.

Executive value

Speaking the language of the Chief Risk Officer and CFO

Operational risk is ultimately a financial discipline — it sits at the intersection of both mandates. Compler addresses the distinct priorities of each.

See emerging risks before they become incidents

Actuarial models trained on internal and external loss data surface trajectory changes 6–12 months ahead. Move from reactive assessment to proactive prevention.

“Our RCSA shifted from an annual rear-view snapshot to a continuously updated forward-looking risk radar.”

Quantify risk appetite in financial terms

Replace subjective heat maps with actuarial-grade Monte Carlo modeling. Set appetite thresholds in dollar terms — a risk profile the board can act on, not just a color grid.

“Finally, a risk appetite framework the board understands: financial impact ranges, not color codes.”

Continuous control effectiveness, not periodic testing

Know in real time which controls are degrading before they fail. Automated testing across data sources flags deficiencies as they emerge, cutting Mean Time to Remediation from weeks to hours.

“We identified a critical control gap three months before our external audit would have.”

Regulatory change as a managed risk, not a surprise

Automatic monitoring of 257+ daily regulatory changes — DORA, EU AI Act, Basel III/IV, RBI, DPDP — impact-mapped to your control framework with financial exposure attached.

“We stopped reacting to regulatory updates. Now we see them coming with financial impact attached.”

Board-ready risk reporting — automated

RCSA summaries, emerging-risk briefings, and TPRM scorecards generated automatically — tailored by jurisdiction, evidence-backed, and formatted for board and regulator consumption.

“Board pack preparation dropped from three weeks to two days. The narrative quality improved significantly.”

TPRM intelligence beyond vendor ratings

Continuous, actuarial-grade third-party risk forecasting replaces static scorecards. Detect concentration risk, performance degradation, and emerging counterparty exposure in real time.

“We reduced from 12 vendor risk tools to one intelligence layer with greater depth across all of them.”

Put a dollar figure on operational risk — finally

Convert every risk from a probability score to a precise financial exposure range ($10K–$50M+). Give capital allocation the same rigor as credit risk, with models that satisfy audit and regulators.

“For the first time, operational risk sat alongside market and credit risk in our capital committee — with numbers to match.”

Reduce cost of risk through earlier intervention

Early warning — months before incidents crystallize — slashes remediation cost versus reactive response. Quantify the ROI of every control investment in P&L terms before approving the spend.

“We approved a $400K control upgrade because Compler showed it would prevent a $6.2M expected loss exposure.”

Regulatory capital optimization

More precise operational risk modeling supports more defensible capital calculations under Basel III/IV. Well-evidenced RCSA outputs can reduce the conservatism premium in standardized approaches.

“Better RCSA data quality gave us the evidence to support a lower capital floor in our AMA application.”

Measurable ROI on your GRC spend

60–80% reduction in time spent on RCSA cycles, control testing, and regulatory reporting. Shift risk-team capacity from data gathering to strategic analysis — and reduce reliance on costly implementation consultants.

“Our risk team reclaimed 60% of their time. They now spend it on insight, not data entry.”

Audit & regulator confidence — at lower cost

Automated evidence collection, full audit trails, and explainable AI decision records mean faster audit prep and stronger submissions — without expanding compliance headcount.

“Internal audit findings related to RCSA quality dropped to zero in the first year. External exam prep time halved.”

Stand alone, or protect your existing GRC investment

Run Compler as your platform of record, or as an intelligence layer on top of Archer, ServiceNow, MetricStream, and IBM OpenPages — keeping current workflows and governance intact.

“We got actuarial-grade capability without a platform migration. Full payback in under 8 months.”

The agent roster · not a copilot

Five AI agents, each delivering a specific business outcome

Powered by enterprise-tuned language models, working automatically and in coordination — under hardcoded recommend-only authority, writing traceable evidence back into the connected data model.

Agent 01

Eliminates data gaps

Data Collection Agent

Automated ingestion from enterprise systems — GRC, core banking, HR, cyber, and third-party feeds — in real time. Eliminates stale registers and manual data pulls so every assessment runs on current information.

Agent 02

Surfaces what’s emerging

Risk Assessment Agent

Risk identification using institution-specific tuned models. Surfaces emerging risks in operational data, vendor behavior, and external signals — weeks before they appear on a traditional RCSA cycle.

Agent 03

Prevents losses early

Control Evaluation Agent

Continuous predictive testing of control effectiveness. Detects degradation and performance gaps before incidents occur — reducing Mean Time to Remediation and strengthening the control narrative for regulators.

Agent 04

Risk language → CFO language

Actuarial & Financial Impact Agent

The industry’s first actuarial AI agent for operational risk. Runs Monte Carlo across the full portfolio — translating every risk event, control gap, and trend into a precise financial range ($10K–$50M+), and predicting events 6–12 months ahead. This is the agent that earns operational risk a seat at the capital committee.

Agent 05

Decision-grade output

Reporting & Action Planning Agent

Generates board reports, CRO dashboards, regulatory submissions, and CFO capital briefings automatically — with full evidence trails. Tailored by jurisdiction and framework (DORA, EU AI Act, Basel III/IV). Weeks of prep become hours.

Engine

Quantification on every risk

AURA Actuarial Engine

The quantitative core every agent draws on. 35+ actuarial fields per assessment — Basel IV SMA capital, Monte Carlo P99.9 tails, control-effectiveness decomposition — with deterministic seed replay for bit-for-bit audit reproducibility.

Negative BinomialLog-Normal severityBühlmann credibilityCOBIT 2019 D×OBCBS 239 stressFAIR ontologyBasel IV SMA capitalEVT / Hill P99.915,000 Monte Carlo sims

Continuous coverage

Every operational-risk category — monitored, controlled, and reported

Compler watches the full Level-1 operational-risk taxonomy in real time through native connectors. Each risk carries its associated controls and the exact regulations it must satisfy — across Banking, Insurance and NBFC, in every jurisdiction you operate.

Connect

Core banking, HR, cyber, third-party & GRC feeds — natively

→

Monitor risk

12 Level-1 categories scored continuously, not annually

→

Associate controls

Design × operating effectiveness linked to each risk

→

Map regulation

Obligations attached per jurisdiction & entity type

→

Report

Regulator-ready packs, auto-generated with full audit trail

OR-01

Internal Fraud