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ReadyWorks is an Agentic ITOps platform. It connects the systems you already run, unites their data into one continuously cleansed source of truth, attaches application context to every asset and decision, and puts governed AI agents to work across your estate, from daily operations to the largest transformation programs. ReadyWorks analyzes, makes recommendations, and carries out the work within the guardrails set by each organization.

The platform is built in the order the work requires:

  • Unified Data Fabric: Connecting your systems and uniting their data into one normalized, continuously cleansed view, accessed on demand and in place.
  • Application Context: Attaching dependencies, usage, compatibility, and lifecycle stage to every asset, so every decision accounts for what a change will affect.
  • Orchestration & Automation: Running operations and programs through one engine, with workflows, alerts, and exceptions handled in the platform.
  • ReadyAI Control Plane: Observing, deciding, and acting within your guardrails, with every action logged, explainable, and reversible.

One conviction shapes the platform: running a business means constantly transforming it. The industry divides operations from transformation and builds separate tools for each. ReadyWorks rejects that division. A migration wave, a virtualization exit, an asset management cleanup, and routine patching are the same motion: know the estate truthfully, decide with context, execute with governed automation.

ReadyWorks works with the technology investments already in place in your organization and increases their value. Your systems of record stay and continue to operate as they do today, while ReadyWorks coordinates data and work across them. The single-purpose tools that exist only to run one process (assessment utilities, survey tools, scheduling applications, spreadsheet-based readiness trackers, and custom reporting scripts) can retire, because the platform runs those processes natively.

Use Cases

EndpointReady Lower IT spending, reduce risk, and ensure employees have the tech they need, when they need it.
ServerReady Manage the server lifecycle end to end, from patching, capacity, and compliance through refresh and decommission.
StorageReady Proactively manage storage across your entire environment, all without agents, coding, or vendor lock-in.
VirtualReady Analyze your virtual estate, plan for the future, automate and de-risk your migration.
IoTReady Bring connected devices into the same inventory, governance, and lifecycle management as the rest of your estate.
FlexReady Run the programs that are unique to your organization on the same data fabric and orchestration engine.
MigrationReady Build the migration business case on your actual costs and your real target pricing. This solution is under development.

Each solution is a self-contained entry point that installs the same data fabric and control plane, so a program you start in one area extends to the rest of the estate.

Unified Data Fabric

Infrastructure information lives in many different systems: ITSM and CMDB, endpoint management, directories, hypervisors, cloud, monitoring, security, HR, finance, and procurement, along with event logs and spreadsheets. Each of those systems tells a different story. Every program then begins with weeks or months of reconciliation, manual follow-up, and status meetings before any work starts.

ReadyWorks solves this with prebuilt bi-directional connectors and a low-code connector builder that reach your vendor tools, in-house applications, and databases. An AI-powered mapping engine then normalizes, de-duplicates, resolves conflicts, and ranks sources of truth, and automated stakeholder outreach handles the exceptions that require a person to resolve.

Data is accessed on demand and in place, so it remains in the systems that own it. The platform maintains its own database and deliberately throttles what enters it, storing only the subset the work requires: normalized records, correlations, quality scores, and records of in-flight changes. There is no full second copy of your estate to build, license, secure, or keep in sync.

Where you want it, corrected data flows back into your systems of record through outbound connectors. Write-back is per-system, opt-in, and fully audited. Where you decline it, your source systems remain untouched.

Dashboards and reports turn that unified data into actionable insight on any program: filter the information, see how a change will affect you, and use what it shows to inform your decisions and your next actions.

Application Context

Data tells you what exists. Context tells you what matters. ReadyWorks attaches application context to every asset and every decision: application dependencies, usage, compatibility, and lifecycle stage.

That context allows work to be sequenced around the way your applications actually connect, and it shows what else a change will touch before it runs. It is also what allows a plan, whether a person built it or an agent proposed it, to be evaluated for consequences before execution begins. This is the layer that separates automating an alert from running an estate.

Orchestration & Automation

Toggling between systems and applications to manage any task takes its toll on your teams, reducing productivity and costing the business. ReadyWorks frees your experts from low-level work by running operations and programs through one orchestration engine, on the same data and under the same guardrails.

  • Day-to-day operations: patching, performance management, configuration management, capacity management, license management, and compliance reporting.
  • Transformation programs: migrations, deployments, refresh waves, consolidations, and decommissions.

Templates and a growing library of reusable workflows let you automate processes using triggers based on system reports, events, or dates, and you can create exceptions to manage program anomalies. Wave planning, readiness-based scheduling, capacity-based self-service booking, triggered communications, stakeholder surveys, automated rollback, and chain of custody turn analysis into completed change, with integrated governance maintaining compliance throughout.

ReadyAI Control Plane

ReadyAI is the agentic layer that observes, decides, and acts across the platform within the guardrails your organization sets. Every action is logged, explainable, and reversible. Today ReadyAI builds a strategy and begins executing it with human-in-the-loop approval, which is the first stage of the autonomy curve. Autonomy advances in stages, and every organization sits somewhere on that curve.

Guardrails are built in: tiered autonomy with human approval on high-impact actions, least-privilege and just-in-time credentials, policy-bounded playbooks, a full audit trail and explainability, PII redaction, prompt-injection defense, RBAC, and data residency.

Model neutrality applies the same principle to AI. Use the commercial or open-source model of your choice, self-hosted or API-based, and change it at any time.

The platform is deterministic at its core. AI is an accelerant, and ReadyWorks delivers full value with AI turned off.

ReadyWorks is also MCP-native, so your own AI agents and copilots can query estate data accurately and work from the same source of truth.

Vendor Neutrality

The estate ReadyWorks coordinates is multi-vendor by nature, and the platform is independent of every vendor in it: the cloud providers, hardware manufacturers, and software platforms whose products it manages. ReadyWorks earns nothing from where your data resides or where your workloads run, so every vendor’s systems are analyzed, operated, and transformed with equal depth. That independence is what lets your organization grant agents authority across the whole estate without granting them an agenda.

Category and Heritage

ReadyWorks pioneered the Digital Platform Conductor (DPC) category, cited by Gartner from 2022 and appearing in 26 Gartner Sample Vendor reports across 10 Hype Cycles. Agentic ITOps is the evolution of that category in the AI era: the conductor now has a workforce, and agents compose the work from the goal, the data, and the guardrails rather than waiting for every path to be scripted in advance.