NuralAI migration

Migrate legacy workflows into an AI-native operating model.

NuralAI helps teams modernize service workflows, CMDB data, knowledge, integrations, runbooks, and governance without losing operational context.

NuralAI migration fabric Current state to launch
Discover

Assess existing workflows, data quality, integrations, runbooks, knowledge, roles, and governance needs.

Workflow automation benefits

Give teams one governed way to move from signals to outcomes.

NuralAI connects people, systems, policies, AI agents, and evidence through a shared operating layer built for enterprise-scale operations.

De-risk modernization

Move in phases with assessment, mapping, validation, and executive proof before broad rollout.

Preserve operational context

Carry services, owners, dependencies, policies, knowledge, and workflow history into NuralAI.

Improve data quality

Validate CMDB, service graph, ownership, and integration data as part of migration.

Modernize workflows

Replace manual queues with AI-assisted routing, governed automation, and evidence capture.

Connect existing tools

Keep critical ITSM, observability, cloud, identity, and collaboration tools connected during transition.

Prove value early

Start with high-value workflows that show deflection, MTTR, savings, and governance improvements.

How NuralAI automates work

Sense context, decide the right action, act across systems, and govern every step.

Each workflow is grounded in graph context, policy, approval thresholds, integration state, and evidence capture before automation is allowed to run.
NuralAI Migration Command Center Governed AI active

Migration workstream queue

CMDB import waveService ownership validated and graph relationships ready
Validate
Incident workflow mapLegacy routing rules converted to NuralAI policy model
Build
Knowledge refreshRunbooks and articles linked to AI grounding package
Review
Data quality92%validated
Reuse74%workflow logic
Evidence100%tracked

NuralAI migration connects workflows, CMDB records, knowledge, integrations, approvals, and evidence into one governed rollout model.

Products and capabilities

Connect every workflow on the NuralAI AI platform.

Migration assessment

Inventory current workflows, records, integrations, governance, data quality, and operating-model gaps.

Explore

Workflow mapping

Translate legacy routing, approvals, escalations, runbooks, and reporting into NuralAI workflows.

Explore

Graph migration

Map services, dependencies, infrastructure, owners, and business impact into the graph CMDB.

Explore

Knowledge migration

Ground AI agents in approved runbooks, articles, policies, and historical resolution patterns.

Explore

Integration migration

Connect ITSM, observability, cloud, identity, collaboration, and security systems through NuralAI.

Explore

Launch governance

Validate test cases, approvals, rollback plans, audit records, adoption metrics, and executive proof.

Explore

Business outcomes

Build a business case executives can inspect.

Use NuralAI to connect automation programs to measurable service, operations, cost, risk, and governance outcomes. Validate final projections with your real environment data during discovery.
Migration time40%

reduction model through reusable workflow mapping

Workflow reuse70%

logic carried into NuralAI patterns

Data validation95%

readiness model for graph and ownership

Audit trace100%

migration decisions captured with evidence

Resources

NuralAI Migration materials for evaluation and rollout.

Demo

NuralAI migration walkthrough

See a legacy workflow become a governed NuralAI workflow.

Open
Guide

Migration readiness checklist

Plan scope, data, integrations, governance, and launch phases.

Open
ROI

Migration value model

Estimate modernization, automation, tool, and productivity value.

Open
Trust

Migration governance review

Review controls for data, access, testing, and audit readiness.

Open

Powered by the NuralAI AI platform

One platform for AI, graph context, workflows, integrations, and governance.

Modernize legacy IT operations into NuralAI with a phased path that protects context, reduces risk, and proves value early.

AI Operating Flow

Solutions are shown as governed AI work, not static feature lists.

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.

Solution AI FlowModel trace active
01 Signal

Incident, request, cloud, cost, compliance, or service signal enters the AI operating layer.

Ingest
02 Context

Graph CMDB maps service impact, owner, dependency, change, control, and business risk.

Graph
03 Decision

Policy-aware agents generate the next best action with confidence and guardrails.

Agent
04 Outcome

Approved action, evidence-backed automation, and value model update are recorded.

Proof