Consulting that can become working technology.
X-ITM combines architecture and advisory work with the ability to build, integrate, deploy and operate the result. Engagements can stand alone or use Core as an acceleration layer.
AI & Automation Consulting
Enterprise AI architecture, agents, private AI, retrieval, model integration and governed automation.
Cloud Architecture
AWS, Azure, GCP, hybrid architecture, landing zones, migrations, modernisation and optimisation.
Platform Engineering
Internal platforms, developer experience, Kubernetes, Infrastructure-as-Code and engineering productivity.
DevOps & Delivery
CI/CD, GitLab/GitHub, release governance, automation, delivery intelligence and transformation.
FinOps & Cloud Cost
Billing intelligence, allocation, optimisation, governance and engineering-led cost improvement.
Security, IAM & Governance
Identity, privileged access, access reviews, controls, evidence automation and policy integration.
Infrastructure & Data Centre
Servers, networks, virtualisation, connectivity and end-to-end environment architecture.
Observability & SRE
Monitoring, Grafana, reliability engineering, operational intelligence and incident improvement.
Custom Engineering & Integration
APIs, internal products, integrations, workflows and bespoke enterprise automation.
Choose the outcome, not the staffing model.
We can scope an assessment, architecture review, engineering project or implementation around the problem you need solved.
The enterprise problem
Services 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
Architecture without implementation
Recommendations often stop before the difficult integration work begins.
Implementation without context
Delivery teams can optimise one component while missing cross-domain constraints.
Skills fragmentation
AI, cloud, security, DevOps and operations are frequently procured separately.
Short-term delivery
Projects finish without an operating model for continuous improvement.
What the capability includes
Senior architecture
Cross-domain architecture across AI, cloud, infrastructure, security and delivery.
Hands-on engineering
Build, integrate, automate and validate rather than only advise.
Core acceleration
Use reusable platform capabilities when they reduce implementation time and risk.
Managed continuation
Operate and extend what has been delivered when ongoing ownership is valuable.
What a good outcome looks like
- One accountable path from technical discovery to working implementation.
- Less reinvention between consulting, engineering and operations.
- Controls and observability designed into delivery rather than added afterwards.
- A practical route from one project into reusable platform capability.
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
Where it fits, Core converts repeated consulting requirements into reusable enterprise intelligence and automation rather than starting from zero each time.
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.
Enterprise context
X-ITM combines architecture, hands-on engineering, implementation and managed operation so recommendations can become production systems. The implementation boundary is defined around the customer environment, existing controls and systems of record. The objective is not to replace everything already in place, but to connect the evidence and workflows required to improve a specific engineering or business outcome.
Architecture considerations
Authoritative systems
Identify which cloud, source-control, IAM, billing, observability, collaboration and data platforms are authoritative for each decision.
Identity & permissions
Preserve customer access boundaries and keep read-only analysis separate from write-capable execution.
Data movement
Define what data is retrieved, transformed, stored or sent to model backends, with explicit retention and deployment boundaries.
Reliability
Treat integrations, data pipelines, model backends and automation workers as production dependencies with observable failure modes.
Engineering approach
Discover
Inspect the real environment before proposing architecture or automation.
Design
Define target state, constraints, interfaces, approval boundaries and acceptance criteria.
Build
Implement the smallest useful production-capable slice with tests and evidence.
Operate
Instrument, support and improve the capability using operational signals rather than assumptions.
Governance model
Core workflows can separate observation, reasoning, planning, approval, execution and post-change verification. Higher-risk actions can remain explicitly human-authorised while low-risk read-only intelligence remains fast and self-service.
What we do not assume
X-ITM does not assume that every workload should use the same AI model, that every customer should move to one cloud, that all automation should be autonomous, or that a compliance workflow creates certification. Architecture is selected according to the actual requirement and customer control model.
Evidence and measurable acceptance
Engagements should finish with evidence that the defined capability works: architecture documentation, integration results, validation output, dashboards, workflow history, source-to-target reconciliation, deployment evidence or other acceptance artefacts appropriate to the problem.
Commercial path
The normal entry points are a technical assessment, architecture review or bounded Core pilot. Where the result is successful, X-ITM can continue through implementation, platform licensing, custom engineering and managed services instead of handing the customer a slide deck and leaving the difficult integration work unresolved.
Map this capability to your environment.
Use a technical discovery session to identify the systems, constraints and smallest useful implementation boundary.