One platform foundation. Configured around your enterprise.
Core brings together AI, engineering, cloud, governance, search, cost, security and operational intelligence in a deployable enterprise foundation. Each implementation is designed around the customer’s actual systems, data boundaries, access model and delivery processes.
Enterprise AI
Model routing, private AI patterns, agent orchestration, retrieval, role-aware access and enterprise integrations.
Engineering intelligence
Understand repositories, pipelines, deployments, changes, dependencies and delivery signals across the SDLC.
Cloud intelligence
Discover and correlate infrastructure, resources, IAM, architecture, cost and operational metadata across AWS, Azure and Google Cloud.
Governance & compliance
Automate evidence, access reviews, control visibility, CI/CD governance and policy-aware workflows.
Automation & self-engineering
Turn governed requests into repeatable engineering workflows with validation, approval gates and traceability.
Enterprise search
Unify knowledge from engineering systems, collaboration platforms, cloud metadata and approved internal sources.
FinOps
Translate billing and infrastructure data into cost visibility, allocation, optimisation opportunities and decision support.
Observability
Connect operational signals, engineering context and service intelligence for faster investigation and reliability work.
Deployment models
Core can run inside the customer cloud or environment, in a dedicated X-ITM-managed environment, as a hybrid deployment, or on-premises where required. Architecture is designed to preserve customer isolation, access boundaries and data ownership.
Integration surface
Core is designed to connect with cloud platforms, source-control and CI/CD systems, collaboration tools, data platforms, observability stacks, identity systems, APIs and customer-specific services. Integrations are selected and governed for each implementation rather than assumed.
From pilot to operating platform
A typical engagement starts with discovery and a defined problem statement, followed by a scoped pilot, environment integration, acceptance criteria and an implementation plan. Successful deployments can continue into licensing, support, custom engineering and managed services.
See what Core can do in your environment.
Start with a bounded technical problem and define a pilot around measurable acceptance criteria.
The enterprise problem
Core is most valuable when it is treated as part of the operating architecture rather than an isolated tool purchase. X-ITM starts by identifying authoritative systems, ownership, constraints, security boundaries and the business or engineering outcome that must improve.
Problems we address
Fragmented context
Cloud, SDLC, IAM, cost and operational evidence live in separate tools.
AI without operating context
Models cannot safely act on systems they do not understand.
Manual governance
Access, evidence and change reviews consume time and become stale.
Tool sprawl
Teams add point solutions without creating a coherent operating model.
What the capability includes
Enterprise world model
Correlate approved cloud, engineering, IAM, cost and operational entities.
Multi-model AI
Route workloads to approved model backends according to capability and policy.
Governed automation
Separate analysis, planning, approval, execution and verification.
Enterprise interfaces
Search, agents, dashboards, APIs and engineering interfaces over the same governed context.
What a good outcome looks like
- A connected view of the technology estate rather than isolated dashboards.
- AI workflows grounded in authoritative technical and organisational context.
- Repeatable evidence and governance processes.
- A reusable platform foundation that can expand across teams and use cases.
Delivery model
- Discover the environment, users, systems and constraints.
- Define target architecture, controls and measurable acceptance criteria.
- Implement the smallest useful production-capable slice.
- Validate technically and operationally before expansion.
- Operate, measure and improve using real evidence.
Enterprise controls built into delivery
How Core accelerates this
Core is the reusable platform itself: intelligence, governance, retrieval, orchestration, automation and customer-specific integration live on the same foundation.
Typical engagement entry points
Technical assessment
A bounded current-state review with target architecture, risks and prioritised next steps.
Pilot
Prove one valuable workflow or intelligence capability against real systems and explicit acceptance criteria.
Implementation
Move the approved architecture into production with integrations, controls, validation and handover.
Managed engineering
Continue operating, improving and extending the capability after initial delivery.
Turn this into an implementation plan.
Bring the current environment, constraints and desired outcome. X-ITM will help identify the smallest credible next step.