Discover
Map the environment, constraints, controls and business objective using authoritative evidence.
Enterprise Intelligence & Engineering Platform
Understand your technology estate. Govern it. Automate it.
X-ITM combines Core—our configurable enterprise intelligence platform—with senior engineering services to connect AI, cloud, infrastructure, software delivery, security, cost and operations into one controlled technology capability.
Deploy where requiredCustomer cloud · dedicated · hybrid · on-prem
Connect existing systemsNo wholesale platform replacement required
Governed by designIdentity · approvals · evidence · traceability
CORE / ENTERPRISE CONTROL PLANECONNECTED
AWSAZUREGCPGITLABGITHUBIAMDATAOBSERVABILITY
X-ITMCOREIntelligence · Governance · Automation
AIModel & Agent LayerRouting · RAG · tools · orchestration
ENGEngineering IntelligenceRepos · CI/CD · change · deployment
CLDCloud IntelligenceResources · relationships · IaC · drift
CTLGovernanceIAM · policy · controls · evidence
FINFinOpsBilling · allocation · optimisation
OPSOperationsObservability · reliability · action
A different operating model
Consulting that becomes working technology.
Most technology problems do not stay inside one domain. X-ITM can move from architecture into implementation, from implementation into Core, and from Core into ongoing engineering and managed operation.
Design
Define target architecture, integration boundaries, acceptance criteria and operating model.
Build
Implement Core, infrastructure, automation, APIs, delivery systems or customer-specific capabilities.
Operate
Observe, govern, improve and extend the platform through support or managed engineering.
Core capability map
One intelligence layer across systems that normally remain fragmented.
Core is configured to the customer estate. Capabilities are enabled according to architecture, access, risk and commercial scope.
Enterprise AIModel routing, private AI patterns, RAG, tool access and governed agents.
Engineering IntelligenceRepositories, branches, commits, reviews, pipelines, deployments and ownership context.
Cloud IntelligenceAWS, Azure, GCP, Kubernetes, infrastructure relationships, configuration and IaC alignment.
Security & GovernanceIAM analysis, privileged access, control evidence, policy-aware workflows and traceability.
FinOpsBilling intelligence, allocation, cost drivers, resource context and optimisation workflows.
Enterprise SearchRole-aware retrieval across engineering, cloud, collaboration and approved enterprise data.
AutomationGoverned engineering actions, workflows, validation, approvals, execution and verification.
AI AgentsContext-aware agents connected to approved tools, models, systems and operating constraints.
DeploymentCustomer cloud, dedicated managed, hybrid and on-premises architectures.
Architecture
Your systems stay authoritative. Core makes them usable together.
The platform is designed to discover and correlate evidence from existing systems rather than create another disconnected source of truth.
- Provider-native cloud and billing data
- Source-control and software-delivery metadata
- Identity, access and governance signals
- Knowledge and collaboration sources
- Operational and observability data
- Customer-specific APIs and internal systems
AUTHORITATIVE SYSTEMSAWSAzureGCPGitLabGitHubIAM
↓ secure connectors / APIs / ingestion ↓
X-ITM COREEnterprise World Model
correlation · context · relationships · policy · retrieval
↓ governed intelligence & action ↓
SearchAgentsDashboardsEvidenceAutomationAPIs
Engineering services
Senior capability across the complete technology estate.
Use X-ITM for a focused project, architecture problem, implementation programme or as an ongoing engineering partner.
01AI & AutomationAgents · RAG · model architecture · private AI
02Cloud ArchitectureAWS · Azure · GCP · hybrid · migration
03Platform EngineeringDeveloper platforms · Kubernetes · IaC
04DevOps & DeliveryGitLab · GitHub · CI/CD · governance
05FinOps & CostBilling intelligence · allocation · optimisation
06Security & IAMAccess · controls · SOX · evidence
07InfrastructureData centre · servers · networks · hybrid
08Observability & SREGrafana · reliability · operational intelligence
09Custom EngineeringAPIs · internal platforms · integrations
10Managed EngineeringOperate · improve · monitor · extend
Trust architecture
Enterprise boundaries are part of the product.
Deployment, access, data flow and automated action should be explicit. Core is designed around customer-controlled identity and environment boundaries.
Security & Data OwnershipCustomer isolationDedicated boundaries according to deployment model.
Least privilegeIntegrations scoped to required capabilities.
Approval gatesSensitive actions can require explicit human control.
TraceabilityEvidence, execution and outcomes can be retained for review.
Data ownershipCustomer data remains customer data.
Deployment choiceCustomer cloud, dedicated, hybrid or on-prem.
Integration ecosystem
Connect the estate you already operate.
Core is built to integrate rather than force replacement. Actual connectors are selected and governed per customer.
AWSMicrosoft AzureGoogle CloudKubernetesGitLabGitHubJiraConfluenceGrafanaGoogle WorkspaceBigQueryEnterprise APIs
View integration catalogue →
Built from real engineering
Capabilities proven against production-scale problems.
X-ITM is not presenting a theoretical AI consultancy. Core is derived from systems already engineered for cloud discovery, software-delivery intelligence, IAM and control evidence, billing data, enterprise search, governed automation and operational observability.
Cloud billing schema recovery
Recovered a production billing ingestion flow after provider schema evolution and validated the repaired data window.
Read case study →Connected delivery intelligence
Correlated repositories, reviews, pipelines, jobs, releases and deployments into a queryable engineering evidence model.
Read case study →IAM and control evidence automation
Built repeatable privileged-access, IAM and SOX/control-evidence workflows from authoritative engineering and cloud data.
Read case study →Governed self-engineering
Designed AI-assisted engineering around bounded scope, validation, isolated branches, review and explicit no-auto-merge controls.
Read case study →Commercial entry points
Start small enough to prove value. Build toward an operating capability.
Engagements are deliberately structured so a customer can validate technical and commercial fit before committing to larger transformation.
ASSESS
Technical assessment
Current-state evidence, problem framing, architecture and recommended next steps.
Start discovery →PILOT
Core pilot
A bounded deployment around defined systems, capabilities and acceptance criteria.
Pilot approach →IMPLEMENT
Implementation
Production architecture, integrations, controls, testing and operational handover.
Implementation →OPERATE
Managed engineering
Ongoing operation, improvement, monitoring, governance and extension.
Managed services →Beyond the AI assistant layer
Core connects AI to the systems where engineering and operations actually happen.
Model providers and copilots are valuable building blocks. X-ITM is designed for environments where the harder problem is connecting AI with cloud state, software delivery, IAM, controls, cost, observability and governed action.
See where X-ITM fitsCloud + AIInfrastructure discovery, IaC, drift and operational context.
SDLC + AIRepositories through deployment and governed change.
Governance + AIIAM, access review, approvals and control evidence.
FinOps + AIBilling, ownership, infrastructure context and action.
Technical discovery
Bring the difficult environment, not a pre-selected product.
We will map the systems, constraints and desired outcome, then determine whether the right next step is an architecture review, pilot, implementation or engineering project.