Enterprises can't see their own dependencies
Thousands of interlinked applications, services, and vendors keep the business running — until one fails, and resilience teams find out from the outage instead of before it.
Average annual cost of unplanned enterprise downtime across large organizations.
Typical time it takes a resilience team to trace an outage back to its root cause.
Of enterprises operate without a live, auto-updating dependency map.
One assurance layer, three outcomes
NerveGrid connects evidence, resolves conflicts, builds an inspectable dependency graph, quantifies business impact, simulates blast radius, supports the decision, and closes the loop through governed write-back.
Assure
Reconcile approved records with independent operational evidence and show which dependencies are confirmed, uncertain, missing, stale, or conflicting.
Quantify
Trace dependency paths to customer-approved business outcomes, time-to-impact, redundancy constraints, and defensible consequence measures.
Act
Compare mitigations, obtain accountable approval, publish authorized corrections, verify the destination, and retain the complete audit lineage.
Built for the people accountable for the consequence
A focused workflow from evidence and dependency assurance to business impact, decision, approval, and verified action.
Business exposure, with evidence
See priority dependency findings, affected operations, time-to-impact, evidence confidence, and the mitigations that could reduce modeled exposure.
- Separate known, calculated, and estimated impact values
- Inspect every dependency path, source, assumption, and validator
- Compare current exposure, mitigation cost, and residual exposure
Every dependency, mapped and searchable
Business capabilities, applications, and infrastructure connected in a single live graph — built from SSO logs and CMDB gaps, not manual spreadsheets.
- Search any node by name, owner, or criticality
- See upstream and downstream blast radius instantly
- Health, risk score, and dependency count on every asset
Trace impact before it spreads
Pick any application and see exactly what it depends on — and everything that depends on it — with live health status on every node.
- Upstream and downstream views, side by side
- Status badges: healthy, degraded, at risk, down
- No manual CMDB maintenance required
A continuously assured model of critical services
Connect business processes, applications, APIs, identity, infrastructure, cloud, vendors, controls, and recovery capabilities while preserving provenance and disagreement.
- Detect when approved maps drift from current evidence
- Model primary, secondary, and capacity-constrained dependencies
- Keep systems of record authoritative through governed workflows
Nine layers, one graph
NerveGrid maps your enterprise from strategy down to infrastructure, then adds an intelligence layer on top — reasoning across all nine at once.
Business Strategy
Objectives & outcomesBusiness Capabilities
What the business doesBusiness Processes
How work gets doneApplications
Software that powers workData
Structured & unstructuredInfrastructure
Compute, network, storageCloud & Platforms
Public, private, hybridObservability
Logs, metrics, tracesNerveGrid Intelligence Layer
AI, graph, predictions, GenAIBuilt to be questioned.
Every consequential dependency, impact estimate and recommended action should be inspectable: where the evidence came from, how fresh it is, what assumptions were used, and who approved the action.
Evidence you can challenge
Per-relationship provenance, freshness, corroboration, confidence, validation status and source health. Stale or unavailable evidence is visible rather than treated as current fact.
Impact with integrity
Customer-specific business measures, duration-aware time-to-impact, redundancy and capacity, explicit assumptions, and aggregation rules designed to avoid double-counting.
Governed enterprise action
Separate read and write permissions, accountable approval, supported APIs/workflows, concurrency checks, re-read verification and end-to-end audit lineage.
Deployment and data boundary
Support the customer-approved operating model: managed, isolated tenant, private connectivity, customer-controlled cloud, or hybrid. Collect minimum-necessary metadata and define residency, encryption, retention, and deletion.
AI and customer-data governance
Separate deterministic calculations, graph algorithms, ML-assisted matching, and generative explanation. Make model-provider access, logging, tenant isolation, retention, and training restrictions explicit.
Accountable ownership
Resilience owns the outcome, architecture and CMDB teams govern important evidence, operational teams contribute signals, and designated executives sponsor the decision. The operating model is validated with each customer.
Impact changes with time, redundancy and context.
NerveGrid is designed to move beyond static blast radius. The goal is to show when a technology failure becomes a business problem, what outcome is exposed, and which mitigation reduces the most consequential concentration of risk.
Time-to-impact
Model grace periods, degradation, failover, SLA windows, RTO/RPO and critical impact thresholds.
Mitigation ROI
Compare modeled exposure, mitigation cost, residual exposure, implementation time and confidence to support investment prioritization.
No false precision
Label values as known, calculated or estimated. Avoid generic outage-cost claims and prevent overlapping business outcomes from being counted twice.
From finding to governed write-back.
NerveGrid does not silently overwrite systems of record. It turns a validated finding into an accountable, auditable correction workflow.
Propose
Create a correction candidate with the affected relationship, proposed value, source evidence, timestamp, confidence, and expected business consequence.
Validate + approve
Route the finding to the accountable service, architecture, CMDB, resilience, or risk owner. Conflicts and low-confidence evidence remain visible until disposition.
Publish + verify
After approval, use the target system's supported API or workflow to publish the correction. Re-read the authoritative record, verify the update, preserve the audit trail, and feed the outcome back into NerveGrid.
Plugs into what you already run
NerveGrid reads from your existing stack — it doesn't replace it. No rip-and-replace, no new system of record.
NerveGrid enterprise resilience interview guide
A 20-minute, evidence-led questionnaire for testing the problem, buying process, adoption barriers, and design-partner potential.
Opening
“Thank you for speaking with me. I’m researching how large organizations understand technology dependencies and manage operational-resilience risk. I’m here to learn from your experience, not sell a product. I’d like to focus on specific situations you have encountered. With your permission, may I take notes or record this conversation solely for research?”
Qualification
- What is your role, and what responsibilities do you personally have when a critical business service is at risk or unavailable?
- Approximately how large and complex is the technology environment you support?
- When was the last significant disruption in which you were directly involved?
Nine primary questions
Tell me about the most recent time a technology dependency failed, was found at risk, or conflicted across systems. What happened in sequence?
Which operations were affected or exposed, and how did the organization describe the consequence internally?
Which measures were available—revenue, transactions, production, orders, customers, patients, SLAs, regulation, safety, or recovery thresholds?
Which relationships and impact values were known, calculated, estimated, or assumed? Who validated them?
Walk me through how the team determined the dependency path and business blast radius. Which tools, people, and handoffs were involved?
Where did sources disagree or become stale? How was the conflict resolved, and what remained uncertain?
How much elapsed time, staff effort, rework, and cross-team coordination did the analysis require?
What decision depended on the analysis? What was delayed, reprioritized, funded, accepted, escalated, or corrected?
What would have to happen for a bounded evaluation to be sponsored, funded, technically approved, and expanded?
Follow-up probes
- What was the first signal, and who became involved?
- Where did the team look for information? What was missing, stale, or incorrect?
- How long did it take to identify affected dependencies, establish root cause, and restore service?
- Which tools were used—CMDB, observability, cloud consoles, architecture repositories, spreadsheets, diagrams, or messaging channels?
- How much still depends on tribal knowledge or manually contacting system owners?
- Who owns the problem, budget, technical evaluation, security review, and final approval?
- What evidence threshold, explanation, and accountable validation would be required before the organization acted on a dependency finding or recommendation?
Role-specific questions
Resilience, SRE, and operations
- How do you determine which emerging risk deserves attention first?
- How often do incomplete dependencies affect incident response?
- What metrics define an effective resilience program?
- How do you verify that a preventive recommendation is safe?
Enterprise architecture and CMDB
- How are business capabilities, applications, data, and infrastructure connected today?
- How complete and current is that information?
- What causes dependency records to become inaccurate?
- How is CMDB accuracy measured?
CIO and economic buyer
- Which resilience outcomes receive executive attention?
- What evidence is required before funding preventive work?
- Which budget would fund a platform like this?
- What result would justify expanding a pilot?
Security, data, and procurement
- What information could a read-only platform access?
- Which data must remain inside your environment?
- What AI-governance, auditability, and explainability requirements apply?
- What usually delays approval?
Concept and pilot test
- What is your immediate reaction?
- Which part addresses a problem you experience today? Which part seems unnecessary or unrealistic?
- What would you need to trust the dependency path, business consequence, and recommended action?
- Which integrations would be essential for an initial evaluation?
- What would prevent read-only access to the required data?
- Which team and business service would make the strongest pilot?
- What three outcomes would a successful 90-day pilot have to demonstrate?
- Who must participate, and what is the next internal step?
Closing and commitment
- What important issue have I not asked about?
- Who sees this problem differently?
- Who owns the budget, and who could block an evaluation?
- Who else should I interview?
- May I contact you again after we analyze the findings?
Seek behavioral evidence: a technical introduction, named pilot service, agreed success metrics, data-source validation, security-review initiation, executive sponsorship, paid pilot, or another concrete next step.
Post-interview evidence sheet
Enterprises are one dependency away
from their next outage.
NerveGrid is the intelligence layer that sees it coming. Start with a 90-day, read-only pilot.