Your risk policy exists. Does it actually operate?
Kavuka Risk Assessment codifies your policy — criteria, proportional scales, approval levels — and feeds it with verified real-time data, from the initial evaluation to continuous re-assessment.
- Matrix
- becomes configuration
- Verified data
- instead of questionnaires
- Continuous
- re-assessment by event
- Demonstrable
- audit trail for regulators
Methodology in production codifying risk policies for financial institutions and corporations — assessments fed by verified data, with a per-decision audit trail.
Every day the gap between the board-approved policy and the decision made on the front line is costing you.
The policy that lives in a PDF
The internal risk evaluation required by regulation exists on paper, but there is no demonstrable process — and decisions without a trail leave risk accepted by no one.
Every analyst, a different ruler
Spreadsheet-based assessments, subjective and inconsistent across analysts: the same risk passes in one area and stalls in another, and the annual review ages within weeks.
The risk no one accepted
A declared risk appetite with no instrument to apply it and invisible aggregate exposure — until the incident arrives and no one knows who accepted what.
Cost The cost of inaction is inconsistency (the same risk accepted in one area and rejected in another), audit findings from the lack of a demonstrable process and, worst of all, the risk accepted by no one — the one that only surfaces in the incident. What is the decision your board approved but your front line never operated worth?
From risk appetite to the front-line decision — with method, data and trail.
- 01
Codify the policy
Taxonomy of the operation’s risk categories (credit, fraud, compliance, operational, reputational, ESG) and the probability × impact matrix with objective criteria by category.
- 02
Feed it with data
Kavuka data engines replace questionnaires and self-assessment: the evaluation comes from verified sources, not the analyst’s perception.
- 03
Decide with governance
Proportional scales by risk class, approval levels and documented exceptions: who accepted which risk, when and why.
- 04
Monitor the portfolio
Re-assessment triggered by event (engine alerts) and by cycle, with an aggregate-exposure view — concentrations and trends by category. Risk is a film, not a snapshot.
The method layer behind every decision
While Risk Scoring is the engine that calculates, Risk Assessment is the policy design — the matrix, the criteria, the scales by category and the governance that make decisions consistent, defensible and auditable.
Risk taxonomy
Operation categories and assessed objects
Matrix and criteria
Probability × impact, objective by category
Proportional scales
Depth and frequency by risk class
Verified data
Kavuka engines instead of questionnaires
Continuous assessment
Re-assessment by event and by cycle
Aggregate exposure
Concentrations and trends by category
Approval levels and exceptions
Who accepted, when and why
Audit trail
Every decision with rationale, source and date
Who decides with Kavuka Risk Assessment
Financial institutions
Internal risk evaluation under banking regulation, operable and demonstrable, with customer classification and documented periodic re-assessment.
Corporations
Third-party risk as a method layer over KYS and KYP, plus projects and new-market entry — the proportional scale by criticality starts here.
Corporate GRC
The bridge between the framework (COSO, ISO 31000) and daily operations: the method that brings verified real-time data into the risk program.
Insurers & Credit
Consistent underwriting policies across channels, with objective criteria instead of assessments that vary by analyst.
The internal risk evaluation that regulation requires — demonstrable
The risk-based approach is at the heart of modern regulation: banking regulation requires internal risk evaluation and customer classification, anti-corruption law expects diligence proportional to third-party risk and GRC frameworks structure the process. Kavuka Risk Assessment makes the policy executable and handled for data-protection law from the first record.
- Internal risk evaluation and customer classification per the risk-based approach of banking regulation.
- Proportionality as configuration: the diligence scale required by the rule becomes a criterion by risk class.
- Third-party diligence proportional to risk, aligned with anti-corruption law and the COSO and ISO 31000 frameworks.
- Per-decision audit trail: approval levels, documented exceptions and who accepted which risk, when and why.
- Processing under data-protection law with verified and legally permitted sources; DPA available for enterprise clients.
Our policy left the PDF and became a system. The same risk that passed in one area and stalled in another now follows the same criterion across the operation.
For the first time the committee sees aggregate exposure by category. Deciding risk appetite stopped being an abstract conversation.
The audit asked for the internal risk evaluation process and we showed the full trail: who accepted what, when and on what basis. Zero findings.
See your risk policy running as a system.
In 15 minutes you see your real matrix turn into configuration, fed by verified data.
- For businesses only. No purchase commitment.
- Data used solely for commercial contact.
- Enterprise leads answered within 1 business day.
What Risk Assessment is and how to operate it
Risk Assessment is the discipline of evaluating risks in a structured and proportional way: identifying what can go wrong in each relationship or decision — customer, supplier, partner, transaction or project — measuring probability and impact, classifying into actionable categories and defining the treatment: accept, mitigate, transfer or refuse. It is the method layer of risk management, distinct from the number itself.
In the Kavuka portfolio, Risk Assessment is the policy design, while Risk Scoring is the engine that calculates. Here live the risk matrix, the objective criteria by category, the proportional scales and the governance that make decisions consistent, defensible and auditable. The method is organized in five stages: taxonomy of risk categories and assessed objects; a probability × impact matrix with objective criteria; proportional scales defining what to verify, at what depth and frequency; continuous assessment triggered by event and by cycle; and governance with approval levels, documented exceptions and an audit trail.
The risk-based approach is at the heart of modern regulation. Central Bank Circular 3,978 requires internal risk evaluation and customer classification; anti-corruption law expects diligence proportional to third-party risk; and GRC frameworks — COSO and ISO 31000 — structure the corporate process. The universal problem is that the policy exists on paper and dies in the spreadsheet: subjective, inconsistent across analysts and outdated by an annual review that ages within weeks. Kavuka Risk Assessment closes that gap by making the policy executable.
The differentiator is feeding the assessment with verified data — the in-house data engines — instead of questionnaires and self-assessment: the evaluation that updates itself. From the risk appetite declared at the board to the decision made on the front line, with method, data and trail. The result is an operation with consistent decisions across the company, aggregate exposure visible to the C-level, proportionality applied by risk class and the demonstrable process that auditors and regulators expect — without the risk accepted by no one, the one that only surfaces in the incident.
Are Risk Assessment and Risk Scoring the same thing?
No. Risk Scoring is the quantitative engine — the real-time number; Risk Assessment is the method: the policy, the criteria, the scales and the governance that say what to do with the number. Together, they form complete risk management.
Does it meet the internal risk evaluation of banking regulation?
Yes — with taxonomy, customer classification, proportionality and a demonstrable trail, plus documented periodic re-assessment, per the risk-based approach of banking regulation.
Does Kavuka Risk Assessment replace my GRC?
It complements. GRC orchestrates the corporate program; Kavuka Risk Assessment brings what it lacks — verified real-time data instead of questionnaires and self-assessment, integrating with the COSO and ISO 31000 frameworks.
How does implementation start?
With a policy-codification workshop — taxonomy, matrix and scales — and the connection of the Kavuka data engines. The first assessments run within a few days, with dedicated Customer Success.
Does it work for third-party risk?
Yes. It is the method layer over KYS (suppliers) and KYP (partners): the proportional scale by criticality — what to verify, at what depth and frequency — starts here.
What is a risk matrix and how does it become operable?
The matrix crosses probability × impact to classify each risk. It becomes operable when criteria stop being subjective and start being fed by verified data, with scales defining diligence by class and approval levels recording who accepts each exception.
How does Risk Assessment ensure consistent decisions?
Because the policy stops living in the PDF and the spreadsheet and becomes configuration: objective criteria, proportional scales and approval levels applied equally across the operation, with continuous re-assessment and a full trail of every decision.
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