Risk management automation for financial operations
Every risk assessed. Every decision governed. Every exception traced.
Risk exposure grows where processes lose visibility.
A credit application moves through six systems. Three analysts review it independently. One exception is handled by email. Six weeks later, a non-compliant approval surfaces in an audit — and no one can reconstruct the decision chain.
Fragmented assessment processes
Risk data sits in disconnected systems. Analysts work from different versions. No single workflow enforces the same assessment criteria across every case.
Manual exception handling
When a case falls outside standard parameters, it enters an informal track — emails, phone calls, undocumented decisions. Every exception is a governance gap.
Audit exposure after the fact
When a regulator asks for the decision trail on a flagged transaction, the answer requires days of manual reconstruction — if it can be reconstructed at all.
From risk signal to governed decision. In Bonita.
Bonita models risk management as a deterministic, auditable process application — from initial risk signal and data aggregation through assessment, scoring, multi-tier review, and escalation. Every exception path is modeled and enforced. AI connectors enrich assessment steps with pattern recognition and anomaly flagging. Every decision is logged with the full context that produced it. Integration with core banking, CRM, and risk data platforms requires no infrastructure replacement.
Consistent assessment
Every case follows the same governed path. No informal tracks, no undocumented exceptions, no assessment criteria that vary by analyst.
Modeled exception handling
Exception paths are first-class citizens in the process, modeled, enforced, and logged like every other step.
Decision traceability
Every decision logged with full context — who assessed, what data was used, what threshold triggered escalation.
Real-time monitoring
Risk officers see every open case, every escalation, every SLA breach — without querying a separate system.
Meet the challenge with Bonita process automation
The capabilities that make risk assessment governed, consistent, and audit-ready at scale.
BPMN 2.0 process modeling
Model risk assessment workflows visually, including complex exception paths, escalation rules, and multi-tier review chains — before a single line of code is written.
Business rules engine
Encode risk thresholds, scoring criteria, and escalation triggers. Rules enforce themselves — no analyst judgment required for standard cases, no governance gap for edge cases.
AI connectors (OpenAI / Mistral)
Embed pattern recognition and anomaly detection directly into assessment steps. AI flags, the engine governs — within fully auditable execution paths.
Multi-tier approval workflows
Automatically route high-risk cases to the right reviewer based on risk score, exposure amount, and predefined governance rules. No manual assignment.
Full audit trail
Every assessment step, every decision, every escalation logged with timestamp and full context. Regulatory inspection requires no manual reconstruction.
Real-time monitoring
Risk officers track every open case, SLA status, and escalation in real time from a single dashboard — connected directly to process execution.
Main KPIs
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"With Bonita, we have transformed our processes into automated and transparent workflows, making our institution more agile and secure, aligned with modern operational standards."
Work that scales with your enterprise
Recognition and projection of how work evolves across your organization