Assess
Map current tools, workflows, data quality, integrations, and governance requirements.
Solution
Migrate workflows, knowledge, services, CMDB data, and integrations into a modern NuralAI operating model.
Signal ingested from observability stack
Graph impact: payments API, 4 services
AI plan requires approval: restart pool
Runbook executed with rollback ready
Outcome path
NuralAI uses phased implementation, system connectors, workflow templates, and executive reporting to deliver a credible modernization path.
Map current tools, workflows, data quality, integrations, and governance requirements.
Integrate ITSM, observability, cloud, identity, collaboration, and finance data.
Start with low-risk workflows, then expand agent authority as confidence grows.
Monitor every action, approval, exception, metric, and business outcome.
Resources
Built for CIO, IT operations, architecture, and security review.
OpenBuilt for CIO, IT operations, architecture, and security review.
OpenBuilt for CIO, IT operations, architecture, and security review.
OpenBuilt for CIO, IT operations, architecture, and security review.
OpenAI Operating Flow
Each NuralAI solution moves from signal detection to graph context, agent reasoning, risk evaluation, approval, execution, evidence, and executive reporting in one enterprise AI control plane.
Incident, request, cloud, cost, compliance, or service signal enters the AI operating layer.
IngestGraph CMDB maps service impact, owner, dependency, change, control, and business risk.
GraphPolicy-aware agents generate the next best action with confidence and guardrails.
AgentApproved action, evidence-backed automation, and value model update are recorded.
Proof