Enterprise Risk Management
Complex multi-party engagements where risk, regulation, and claim resolution require coordinated action.
This interactive experience is the shipped product itself — the same application code customers run in production, mounted read-only in your browser over a real sample journey. Not a video, not a mockup: because the demo and the product are one codebase, it can never drift from the real thing.
Inside this journey
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Outcome Discovery
Align on desired risk-reporting outcomes, current spreadsheets and source systems, stakeholder roles, and regulatory success signals.
Discovery Questions
Quick orientation: the urgent request that started this
- How often does your board or an examiner ask for an enterprise-level heat map on short notice?
- Tell me about the last time your team had 48 hours to produce a board-ready risk heat map, what happened and who scrambled?
- When you assemble board materials today, which primary artifacts do you pull from?
- Who on your team owns producing the board-ready deliverable under that time pressure?
- If producing a board-ready heat map within 48 hours stayed impossible, would that trigger immediate investment in a new platform?
Where the current process fractures when time matters
- Imagine your enterprise exposure can be masked by inconsistent scores, where does that mismatch most commonly begin?
- Which business unit or entity tends to deliver the most incompatible risk registers?
- Walk me through the handoff from a business unit spreadsheet to the board slide, step by step.
- How many different scoring scales are actively used across your business units today?
- Name the single failure in that chain which, if unresolved, would make you stop a pilot immediately.
How you label, score, and try to make numbers comparable
- Where your taxonomy allows assessor judgment, how often do people fall back to local conventions instead of enterprise rules?
- Describe one recent assessment where scoring differences materially changed an enterprise trend or decision.
- Select the scoring inputs that are currently automated for you
- Who is currently responsible for maintaining scoring rules and how are changes governed?
- Assuming a pilot demonstrates consistent scoring across units, who must approve enterprise rollout and how quickly could they do so?
Data plumbing and integration constraints we cannot ignore
- Imagine an integration fails during a pilot, which system outage would make the pilot invalid?
- List the systems that must feed KRIs and assessments for this engagement
- Identify the teams that own APIs or data extracts for those sources and the likely point of contact role
- Rate the readiness of the historical data you expect us to migrate
- Name the single integration gap that would stop the project before deployment
- Are APIs or programmatic extracts available for the systems you listed?
Who decides this and how they will judge it
- Suppose a regulator asks for evidence that taxonomies are enforced, who will be your internal arbiter of acceptance?
- Select the stakeholders who must be satisfied for procurement to move forward
- Describe how internal audit will evaluate whether the platform produces audit-ready evidence
- When the pilot meets scoring and reporting criteria, what internal process would let you sign within 30 days?
Internal friction and the blockers that slow change
- Identify who has pushed back in previous technology rollouts and why they resisted
- When a new process was introduced before, which factors most often stopped first-line adoption?
- Tell me about the training model that showed the best sustained adoption in past rollouts
- Is there a single person or committee inside who could block deployment if they are not convinced?
Other paths you are weighing before you switch
- For you to stay with the current approach, what would have to be true about it?
- Identify the alternative paths you are actively evaluating right now
- Has anyone inside proposed solving this without an outside vendor, and if so who and why?
- What would make you choose to stay with the incumbent or an internal build rather than move to an outside platform?
Pilot scope that would convince the board and the examiner
- Given a time-boxed pilot that must validate KRI feeds, scoring consistency, and board reports, which of those is highest risk for you?
- What duration pilot are you willing to run and who from your organization will resource it?
- List the acceptance criteria that would make a pilot an unequivocal success
- What would stop you from signing the week after a successful pilot, even if metrics look good?
- What timeline constraints do regulators or exam cycles impose on your decision?
Practical next steps and the immediate commitments needed
- Should we move forward, who on your side must be available in week one to avoid delays?
- Provide the technical contact roles we should engage to scope integrations
- How much of the deployment work should your team own versus the seller's implementation team?
- What final internal approval or budget threshold would need to be cleared before you can run the pilot?
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Solution Experience
Walk through how the platform standardizes taxonomy, scoring, KRIs, and board-ready reporting using the buyer's real scenarios.
Solution Experience
- Solution Experience: Standardize Taxonomy, Scoring, KRIs, and Board Reporting
- Confirm the current state and its cost to your team
- Customer confirms the demonstrated taxonomy normalization eliminates the two-week consolidation and meets the 48-hour board request.
- Deliver a pilot design and proposed acceptance criteria document based on the validated scenario within five business days.
- Customer confirms the standardized scoring and KRI mapping produce a consistent enterprise risk view that surfaces concentration risk previously masked.
- Run your real scenario through taxonomy normalization and scoring
- Provide the six current risk spreadsheets and a representative recent board request timeline to support the pilot configuration.
- Agreement on pilot acceptance criteria and a clear next-step owner list and timeline.
- Show KRI feed mapping and board-ready heat map for the same scenario
- Identify the head of ERM, internal audit contact, and the CIO integration owner who will participate in pilot decisions.
- Validate the outcome with a direct question
- Prepare an initial taxonomy-to-field mapping and KRI feed wiring plan for the selected scenario and share before the pilot kickoff.
- Agree pilot acceptance criteria and next steps
- Solution Experience: Standardize Taxonomy, Scoring, KRIs, and Board Reporting
- Solution Experience Deck
- Solution Brief — Taxonomy, Scoring, and Board Reporting
- meeting
- slides
- document
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Solution Scope
Define taxonomy configuration, assessment workflows, integrations, historical data migration, and the measurable deliverables to satisfy regulators and the board.
Scope Configuration
- Deploy unified risk taxonomy
- Configure quantitative scoring models
- Migrate historical risk registers
- Set up multi-entity hierarchy and consolidation
- Configure assessment workflows and automation
- Integrate key risk indicator data feeds
- Enable real-time risk dashboards
- Implement loss event tracking
- Build board-ready heat map reports
- Configure regulatory reporting templates
- Enable audit-ready evidence repository
- Integrate with compliance and audit systems
- Train risk owners and administrators
Scope Questions
Deploy unified risk taxonomy
- Do you have an existing ERM taxonomy document, risk universe spreadsheet, or operating model to import?
- Please list the risk domains and subdomains that must be present (example: Operational, Credit, Market, Strategic, Cyber, Compliance).
- Estimate the current count of distinct risk categories and subcategories in your spreadsheets or registers.
- Name the stakeholder or committee that must approve taxonomy changes (head of ERM, internal audit, board risk committee).
- Describe mandatory mapping rules from legacy spreadsheet columns to taxonomy fields (for example: map 'Risk Type' to Domain>Subdomain, 'Likelihood' to scoring field).
- Indicate any regulator alignment required in the taxonomy (examples: ORSA reporting categories, OCC examiner categories, state-level regulator views).
Configure quantitative scoring models
- For scoring scale preference, which approach do you need (examples: 1-5 ordinal, 1-10 granular, probability x impact matrix)?
- List the quantitative inputs currently available to feed scores (examples: incident counts from claims ledger, exposure amounts from general ledger, SLA breach counts from monitoring).
- Specify any regulator-mandated scoring conventions we must support (for instance ORSA severity bands or capital impact buckets).
- Identify the owner who will maintain scoring parameters (business unit risk lead, analytics team, ERM administrator).
- Confirm the acceptable inter-rater variance threshold for scoring consistency across business units (for example: percent agreement or standard deviation threshold).
- State whether you require built-in statistical distributions, Monte Carlo support, or only deterministic formulas for score calculations.
Migrate historical risk registers
- Do you have historical risk registers in Excel, SharePoint, legacy GRC exports, or CSVs that must be migrated into the platform?
- Identify the file formats and storage locations for those registers (examples: Excel workbooks in SharePoint, CSV exports from legacy GRC, archived PDFs).
- Provide an estimated record count to migrate (rows / number of spreadsheets / number of registers).
- What migration completeness threshold will validate success (for example: 95% of records migrated with field-level accuracy and reconciled to source)?
- Detail any cleansing rules required during migration (examples: deduplicate by risk ID, harmonize entity names, convert exposure units).
- Name the internal owner who will provide source context, annotations, and sign-off for migrated historical entries.
Set up multi-entity hierarchy and consolidation
- List the legal entities and business units that must be modeled (include holding company, regulated subsidiaries, and FRB/OCC-reportable entities).
- Explain the preferred roll-up logic for board-level consolidation (for example: by legal entity to holding company, by line of business across entities).
- Identify the source of legal entity identifiers we must map (for example: LEI, internal legal code, tax ID, chart of accounts codes).
- Describe required currency or unit normalization rules when consolidating quantitative exposure or loss figures (example: translate to USD, normalize premiums to annualized amounts).
- State whether statutory or regulator-specific roll-up views are required (examples: ORSA consolidated view, state-level reporting slices).
- Who will own maintenance of the multi-entity hierarchy and approve entity additions or retirements?
Configure assessment workflows and automation
- Would you like recurring assessment schedules aligned to your regulatory and business calendar (examples: quarterly ORSA refresh, annual compliance attestations)?
- Define notification and escalation rules for overdue assessments or failed controls (for example: email to risk owner, escalate to head of ERM after 7 days).
- Who are the expected assessment respondents (examples: first-line process owners, control owners, centralized risk teams)?
- When an automated KRI threshold breach occurs, explain preferred remediation routing (examples: create incident, assign to business unit, notify internal audit).
- Please indicate if assessment templates should be domain-specific or business-unit-specific and whether custom evidence fields are required for regulators.
- Is automated reminder and completion reporting required for business units and for the board (for example weekly progress to CRO and monthly to board secretary)?
Integrate key risk indicator data feeds
- Identify the source systems that will provide KRI feeds (examples: core banking ledger, claims system, SIEM, merchant processing, policy administration).
- Specify the required update frequency for KRIs to satisfy board and regulator needs (examples: real-time, hourly, daily, weekly).
- Define minimum data quality thresholds for KRI acceptance (for example: null rate <2%, reconciliation variance <1%).
- Name the team or role that will maintain connectors and credential rotation for KRI endpoints.
- Confirm whether secure transfer mechanisms are mandated for KRI feeds by your security team (examples: SFTP, mutual TLS, VPN).
- Provide transformation rules to apply to KRI data prior to ingestion (examples: compute 30-day rolling average, map account IDs to business unit).
Enable real-time risk dashboards
- Outline the executive KPIs and KRIs required on the board-level dashboard (examples: top 10 risks by exposure, concentration limits, active KRI breaches).
- Indicate target refresh cadence to meet the 48-hour board information expectation (options include real-time, hourly, daily).
- Explain required drill-through behavior from a heat map to source artifacts (examples: ability to drill to loss event record, underlying spreadsheet row, or transaction in the claims ledger).
- Who should have export or snapshot privileges for board dashboards for examiners or audit (examples: board secretary, internal audit, CRO)?
- State whether role-based dashboards are required so that business unit heads see different roll-ups than the CRO and the board.
- Provide performance targets for live dashboards (example targets: widget load <3s, full dashboard <5s) to ensure usability during board meetings.
Implement loss event tracking
- Have you maintained a loss event register or claims feed that should be ingested for loss tracking and trend analysis?
- Detail the loss attributes that must be captured for each event (examples: event date, loss amount, root cause, business unit, remediation status, regulator impact).
- Indicate the required historical lookback for loss events used in trend analysis (examples: 3 years, 5 years, since last regulatory exam).
- Please indicate the team responsible for validating financial loss amounts against the general ledger or claims system during reconciliation.
- Are your internal audit evidence requirements for loss events stricter than standard recordkeeping (for example archived PDFs with immutable audit trail and timestamps)?
- State required retention periods and archival formats for loss events to satisfy regulators (example: 7 years, immutable PDF with audit trail).
Build board-ready heat map reports
- Detail required board report formats (examples: printable PDF packet, interactive dashboard link, slide deck with executive summary).
- Indicate target SLA for producing an updated heat map after a material event or chair request (for example: within 48 hours).
- Identify the evidence that will validate board-readiness for a heat map (examples: drill-through to source spreadsheet row with audit trail, reconciled KRI feed timestamps, sign-off log).
- Explain required summarization levels for the board view versus management view (example: board needs top-level risk exposures and concentrations; management needs control-level detail).
- Who will be the approver for the final board packet (examples: CRO, board secretary, head of ERM)?
- Provide any board formatting or accessibility requirements (examples: single slide per risk, appendix with drill-through, color-blind friendly palettes).
Configure regulatory reporting templates
- List the regulatory templates or reports you must produce from the platform (examples: ORSA submission extracts, OCC response packs, state regulator spreadsheets).
- Specify required data fields and formats for each regulator view (examples: exposure by state, aggregate losses by line of business, capital impact fields).
- Indicate whether regulators require time-stamped evidence attached to submitted reports (examples: audit trail for each aggregated cell used in the submission).
- Who will be responsible for final regulatory report sign-off and submission (examples: CRO, compliance officer, CFO)?
- Provide any regulator-specific thresholds or tolerances that should drive alerts or exceptions in template outputs (examples: concentration > X% of premium, loss ratio thresholds).
- State whether you require scheduled automated exports for regulators and the desired cadence (examples: quarterly ORSA extract, monthly regulator snapshot).
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Solution Evaluation
Run a time-boxed pilot validating scoring consistency, KRI feeds, and board reporting against agreed acceptance criteria.
- stakeholders
- gaps
- current_state
- success_criteria
- decision_readiness
- desired_state
- stakeholders
- success_criteria
- gaps
- current_state
- desired_state
- decision_readiness
- stakeholders
- desired_state
- success_criteria
- decision_readiness
- current_state
- gaps
- decision_readiness
- current_state
- decision_readiness
- decision_readiness
- decision_readiness
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Mutual Commit
Finalize commercial and legal terms, data-access authorization, acceptance criteria, and governance for regulatory evidence and board deliverables.
Agreement Modules
- Subscription Order Form
- Master Services Agreement (MSA)
- Statement of Work (SOW)
- Service Level Agreement (SLA)
- Data Processing Agreement (DPA)
- Data Access Authorization
- Acceptance Criteria Appendix
- Regulatory Evidence & Board Reporting Governance Addendum
- Financial Services Compliance Addendum (SOC2 and Data Residency)
- Change Order Agreement
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Deployment
Lock readiness facts and configuration values before execution begins.
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Pre-Deployment Readiness
Confirm owners, data access, environments, timelines, and remediation priorities the deployment depends on before work begins.
Pre-Deployment Questions
Environment and access
- Is the production environment provisioned and available for vendor connectivity?
- If not available now or if approval is required, what is the expected availability date or approval reference? (so we can schedule the cutover window)
- Which system categories will the platform integrate with during initial rollout? (select all that apply)
Data and configuration
- Will historical risk registers/spreadsheets be migrated as part of the initial deployment?
- Who is the authoritative owner for source risk data and the primary contact for data extracts? (name, role, business email)
- Has the buyer agreed on a taxonomy owner and a field-mapping approach to support roll‑out?
People and ownership
- Has a named buyer-side project sponsor (CRO or equivalent) been assigned for approvals and executive sign-off?
- If assigned, provide the project sponsor's name and role (for scheduling approvals and governance checkpoints)
- Which buyer-side owners are confirmed for the initial assessment rollout? (select all that apply)
Timing and constraints
- Are there compliance blackout windows, regulatory exam deadlines, or board reporting dates that constrain the deployment schedule?
- If yes, list the hard-go / no-go date ranges or board/exam deadlines we must avoid or meet (so we can align sprints and cutovers)
- Are any remediation items blocking go-live (data quality fixes, KRI feed repairs, access authorizations)?
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Configuration Details
Capture integration credentials, API endpoints, field mappings, scoring parameters, and KRI thresholds the deployment team will use.
Configuration Details
Environments & Endpoints
- Production instance name to be used in the platform (enter exact identifier used by your operations team; e.g., 'prod-us-1')
- Production API base URL (format: https://your-prod-subdomain.example.com/api — enter full base URL)
- Staging instance name (Default: 'staging') — confirm or specify another identifier
- Deployment region for the instances (select the region the platform should target for data residency and endpoint routing)
Integrations & Authentication
- Which categories of upstream systems will the platform integrate with for automated KRI and assessment feeds? (select all that apply)
- Primary integration connector identifier in the platform for your main data feed (enter the connector name as it should appear in connector settings; do NOT paste secrets)
- Credential owner and secret exchange channel for that connector (format: 'Full Name — [email protected] — secrets manager name'; the deployment will request the secret via the named secrets manager)
- Authentication method the platform will use for upstream API calls (select the method; secrets/certs are exchanged separately at kickoff)
- If you will enable SSO for users, select your identity provider type (if none, select 'None')
- If using SAML or OIDC, enter your IdP metadata URL (format: https://.../metadata or https://.../.well-known/openid-configuration — leave blank if 'None')
Field & Role Mappings
- Exact source field name for the canonical risk identifier in your primary risk register (case-sensitive; e.g., 'risk_id')
- Exact source field name that contains the numeric risk score in the source system (case-sensitive; e.g., 'risk_score')
- User role in your org that should be mapped to the platform role 'Risk Owner' (select the closest match)
- If you selected 'Other' for Risk Owner mapping, enter the exact role title used in your IAM or HR system (leave blank otherwise)
Scoring Parameters & KRI Thresholds
- Select the default scoring scale your organization uses for assessments (choose the scale the deployment should configure by default)
- If you selected 'Custom', enter the custom numeric minimum value (format: integer; leave blank if not custom)
- If you selected 'Custom', enter the custom numeric maximum value (format: integer; leave blank if not custom)
- Default KRI threshold value for 'High' risk alerts on your chosen scale (numeric — Default: 80 for 0-100 scale; adjust to your scale)
- Aggregation window for rolling risk calculations and KRI triggers (in days — Default: 30 days)
Deployment Policies & Limits
- Historical data migration window (number of months of historical records to migrate into the platform; Default: 36 months)
- Max rows per batch import during migration (numeric — Default: 50,000)
- Primary timezone for reporting and scheduled jobs (enter IANA timezone name; Default: 'UTC')
- Retention period for raw imported assessment data (in months — Default: 120 months)
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Deployment
Execute taxonomy rollout, data migration, system integrations, assessment workflows, and training with clear owners, milestones, and rollback plans.
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Success
Validate audit-ready evidence, confirm board and regulator reporting outcomes, and maintain a shared channel for issues and enhancement requests.
Success Reviews
- Go-live Health Check (weeks 1-4)
- First Measurement — Initial Outcomes Review (weeks 4-10)
- 90-Day Outcomes Review — Realization and Remediation
- Quarterly Business Review — Operational Stability and Backlog
- Annual Regulatory Evidence Audit and Review
Issues & Enhancements
- Publish the prioritized enhancement list with expected delivery quarters and business impact notes.
- Publish the 90-day remediation plan with resolution dates and specific acceptance verification steps.
- Deliver corrected reports and refreshed evidence packages for any items that failed the spot-checks.
- Update the issues and enhancement channel with the prioritized remediation items and expected completion dates.
- Trend review for named metrics
- Ensure metric trends are progressing toward the Solution Evaluation targets or have a documented plan to get there.
- Agree a prioritized enhancement roadmap focused on closing gaps that affect regulator and board deliverables.
- Confirm there are no unresolved operational defects that will prevent timely regulator evidence delivery in the next quarter.
- Re-confirm success criteria and owners
- Produce a one-page operational status summary for the regulator readiness folder.
- Schedule targeted remediation sprints for any high-severity defects affecting board or regulator reporting.
- Full evidence completeness audit
- Demonstrate that a high percentage of regulator evidence requests are satisfied by platform-stored artifacts.
- Confirm the average time to assemble regulatory evidence is at or improving toward the Solution Evaluation target.
- Ensure long-term retention and archival controls for retired spreadsheets meet audit expectations.
- Produce the annual evidence audit report and publish it to the regulator evidence folder.
- Document any compensating controls or remediation steps for high-severity gaps with expected completion dates.
- Refresh retention and access control policies for archived incumbent artifacts and publish the change log.
- Deployment and KRI feed connections verified as operational for the pilot datasets.
- All critical blockers identified and owners assigned with target resolution dates.
- Early adoption signals documented and a short list of adoption actions agreed.
- Produce a short remediation plan for critical go-live defects with target dates for closure.
- Deliver a data-migration verification report showing record counts and checksum results for migrated registers.
- Circulate an initial user adoption summary for the first 30 days for async review.
- Present first measurement data
- Understand why initial outcomes differ from targets recorded in the Solution Evaluation stage and document the root causes.
- Agree a time-bound remediation plan to reduce manual reporting hours and shorten heat map production time.
- Confirm the incumbent spreadsheet wind-down plan is in motion or set dates to complete it.
- Deliver a remediation task list with owners and completion dates for all items that prevent meeting the Solution Evaluation targets.
- Lock legacy spreadsheet registers to read-only and publish the archive location and retention policy.
- Provide sampled audit evidence packages and a checklist showing chain-of-custody for each item reviewed.
- Present outcome data against Solution Evaluation targets
- Establish a clear list of residual remediation items that will bring outcomes to the Solution Evaluation targets and set deadlines.
- Confirm board-ready reports meet the regulator and board content expectations in the sampled cases.
- Ensure audit evidence samples demonstrate required traceability and retention policy compliance.
- Deployment and migration validation
- Operational issues and remediation burn-down
- Time-to-assemble evidence measurement
- Document and time-box remediation actions
- Diagnose root causes for gaps
- Enhancement request backlog and prioritization
- Validate board-ready report delivery and accuracy
- Retention, archival proof, and chain-of-custody
- Incumbent system decommissioning and data archive status
- Early adoption signals and usage patterns
- Regulatory calendar and upcoming evidence needs
- Blockers and open issues
- Outstanding high-severity items and long-term plan
- Audit evidence completeness spot-check
- Validate sample audit-ready evidence
- Agree immediate remediation actions
- Agree corrective actions and timeline