Client-ready product tour

Show the evidence. Explain the control. Prove the path to value.

CoreSolve is LordXTech's governed AI operations SaaS. It combines live incident intelligence, secure tenant administration, real provider readiness and governed infrastructure planning with a controlled path toward enterprise automation.

Start an evaluation →Open the nine-stage client demo

Capability map

Everything available in the CoreSolve product.

Use the maturity label when speaking with clients: production-live means the data path operates now; governance baseline means the advanced operating model is implemented for controlled activation.

Guided evaluationProduction live

Client Experience Lab

A nine-stage incident-to-resolution journey spanning manual and sample incidents, knowledge quality, ServiceNow controls, grounded AI, usage, agents, feedback and consultation capture.

Client outcome: A buyer can operate the product themselves and understand the complete path from incident intake to trusted, measurable resolution.
Evidence: Tenant-persistent records, KB citations, AI usage events, browser voice input and clearly labeled live-provider gates

Explore capability

AI operationsProduction live

Incident Intelligence

Evidence-grounded incident analysis with confidence, risk, validation steps and a deterministic safety fallback.

Client outcome: Operators reach a defensible hypothesis faster without allowing the model to claim an unverified action.
Evidence: Authenticated analysis, plan enforcement and persisted investigation history

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Change governanceProduction live

Change Risk Review

Live assessment of blast radius, rollback readiness, test evidence and approval controls before production change.

Client outcome: Change managers receive a consistent risk score, decision recommendation and explicit missing controls.
Evidence: AI-assisted structured review, safety fallback, saved run and audit evidence

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Value modelingProduction live

Business Impact Model

Transparent modeling of revenue, productivity and response-labor exposure for an operational disruption.

Client outcome: Operations leaders can connect reliability scenarios to a reviewable business conversation.
Evidence: Deterministic calculation, stated assumptions and tenant-scoped saved evidence

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ConnectivityProduction live

Cloud Integration Hub

Tenant-scoped setup for AWS, Azure, Google Cloud, ServiceNow, Datadog, PagerDuty, Slack and GitHub.

Client outcome: Clients can validate provider reachability before activating federated, vaulted or OAuth credentials.
Evidence: Live endpoint checks, lifecycle controls and append-only verification history

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Secure deploymentProduction live

Infrastructure Launchpad

Standard VM profiles, transparent cost estimates and explicit network, identity, payment, approval and provisioning gates.

Client outcome: Customers can plan customer-owned cloud, managed cloud or on-premises capacity without sharing VPN passwords or unrestricted cloud keys.
Evidence: Server-calculated estimates, immutable commercial inputs and append-only request evidence

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Customer activationProduction live

Azure Deployment Studio

Immutable Docker/RHEL or AKS deployment blueprints spanning Azure federation, artifacts, database roles, customer LLMs, Entra RBAC and ServiceNow scope.

Client outcome: A customer can review one portable execution contract and see exactly which trust gates block resource creation.
Evidence: Database-generated SHA-256 blueprint, tenant evidence and downloadable Terraform/runbook exports

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SaaS administrationProduction live

Tenant Control Plane

Isolated workspaces, role-based membership, email-scoped invitations and database-enforced row security.

Client outcome: Each customer operates inside a separate workspace with owner, admin, operator and viewer boundaries.
Evidence: Supabase Auth, RLS, member limits and an append-only audit ledger

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Commercial controlsProduction live

Plans, Usage and Entitlements

Visible investigation, seat, history and cloud-connection capacity with managed plan-upgrade requests.

Client outcome: Buyers can evaluate capacity and governance before scaling a pilot into a larger deployment.
Evidence: Server and database allowance checks with tenant-scoped usage

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Operational readinessProduction live

Live Adoption Command Center

A tenant-scoped readiness score calculated from investigations, members, connections, provider checks and audit events.

Client outcome: Sponsors and operators share an evidence-based view of evaluation progress and the next activation step.
Evidence: Live workspace metrics, guided activation and downloadable readiness evidence

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Human controlGovernance baseline

Governed Action Center

Action contracts model approvals, risk, rollback, idempotency and execution receipts before writes are enabled.

Client outcome: Automation can move from recommendation-only to controlled execution through an explicit approval policy.
Evidence: Approval and safety control-plane baseline

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ResilienceGovernance baseline

Durable Execution Runtime

A crash-safe operating model for queued work, retries, leases, checkpoints and dead-letter recovery.

Client outcome: Long-running operational work has a defined path to safe retry and observable recovery.
Evidence: Execution runtime and worker supervision baseline

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AI qualityGovernance baseline

Evaluation and Release Gates

Quality gates cover evidence grounding, tool behavior, policy compliance, regressions and release decisions.

Client outcome: AI changes can be evaluated against an agreed acceptance bar before they reach operators.
Evidence: Evaluation suite and release-gate baseline

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Business outcomesGovernance baseline

Value Ledger

A measurement model for operator time saved, MTTR movement, automation quality and AI operating cost.

Client outcome: Sponsors can connect technical adoption to measurable operational and financial outcomes.
Evidence: Evidence-backed value measurement baseline

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Agent lifecycleGovernance baseline

Agent Studio

A governed model for agent definitions, permissions, tools, evaluation state and controlled promotion.

Client outcome: Teams get a consistent lifecycle for introducing specialized operational agents.
Evidence: Agent definition and promotion baseline

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GovernanceGovernance baseline

Enterprise Control Center

A consolidated operating view for policy, release state, tenant controls and platform assurance.

Client outcome: Risk, operations and platform teams share the same language for adoption and control.
Evidence: Enterprise governance and assurance baseline

Explore capability

15-minute client walkthrough

A clear story from sign-in to controlled scale.

01
Establish identity and tenancy
Sign in, open the workspace and show role, plan, usage and tenant isolation.
Open command center
02
Complete the client experience
Create an incident, improve knowledge, chat with grounded AI, resolve the record, inspect spend and configure a customer-specific agent.
Open Client Experience Lab
03
Solve a customer question live
Analyze an incident, review change risk or model business impact, then open the saved evidence record.
Open Operations Lab
04
Validate a provider
Provision a least-privilege provider definition and perform a real server-side readiness check.
Open integrations
05
Plan isolated worker capacity
Choose cloud or on-premises deployment, review the standard size and cost, then inspect every execution gate.
Open Infrastructure Launchpad
06
Lock the Azure execution contract
Configure Docker/RHEL or AKS, customer models, Entra roles and ServiceNow scope, then export the hashed blueprint and Terraform.
Open Deployment Studio
07
Review control evidence
Show members, plan capacity and the append-only workspace activity ledger.
Review governance
08
Plan controlled expansion
Explain approval policies, evaluation gates, durable execution and measurable value.
Explore action controls

Client adoption options

Start small, prove safety, then expand.

1–2 weeks

Guided evaluation

Secure workspace, agreed incident scenarios and a documented success baseline.

3–6 weeks

Controlled pilot

Read-only providers, operational evaluations, audit evidence and measurable operator feedback.

Phased

Production adoption

Federated connectors, approval-gated actions, release gates and value governance.

Buyer questions

Answers that establish trust.

Does CoreSolve execute changes automatically?

Not by default. Production starts recommendation-only; writes require provider activation, explicit policy and human or policy approval.

Where are credentials stored?

CoreSolve browser forms never accept secrets. Cloud access uses federation, scoped app consent or references to an approved external vault.

Can customers share one environment?

Each customer operates in a tenant-scoped workspace. Database row-level security and role checks are enforced below the UI.

How is AI quality controlled?

The investigation response is structured, evidence-grounded and bounded. A deterministic fallback keeps the workflow available when the model is unavailable.

How do we prove value?

Adoption begins with measurable incident, operator-time, quality and cost baselines, then advances only when the evidence supports it.

Next step

Use the live product in the first client conversation.

Create a workspace, choose their incident, change or impact question, then export readiness evidence from the command center.

Create client workspace →Review plans