One context, seven disciplines
The person who designed your warehouse is the one reviewing its access model and writing the security questionnaire response. Nothing is re-explained.
Seven practices. One armoury.
Specialist studios for data architecture, AI, cloud platform, security, healthcare, managed IT and technical hiring — each with its own depth, all delivered to one standard by one principal architect.
Static sites, private repositories, edge-delivered. No trackers on any site in the estate.
The practices
Depth in seven disciplines, without seven vendors.
Each practice runs its own site, its own service catalogue and its own vocabulary — because buyers in security don't speak the language of care operations. Behind all of them: one architect, one delivery standard, one point of contact.
Data architecture & delivery
The founding practice. Lakehouse and warehouse design for oil and gas operators, and the delivery record that backs everything else in the estate.
- Lakehouse and warehouse architecture — Snowflake, Databricks, cloud-native
- ERP and document-to-system automation pipelines
- Master data management, entity resolution and cross-reference matching
- Data quality frameworks and reconciliation
AI platform services
Governed AI for regulated environments. Built for the audit trail, not the demo — intake, extraction, validation, human review, system of record.
- AI integration into existing systems and codebases
- Document AI, extraction and classification pipelines
- RAG and MCP knowledge platforms
- Evaluation harnesses, guardrails and AI governance
Cloud technical account management
The standing technical relationship most teams only get from a vendor's enterprise tier — architecture review, cost discipline and escalation support across your whole cloud footprint.
- AWS, Azure and Google Cloud account and architecture review
- Databricks and Snowflake platform management
- Cost modelling, budget guardrails and spend review
- Migration planning and workload placement
Security services
Security that survives a client questionnaire. Data isolation, access design and the written answers procurement will ask you for.
- Cloud security posture and access architecture
- Client data isolation and tenancy design
- Security questionnaire and control documentation
- Incident response planning and runbooks
Healthcare operations & data
Care-operations capability: hospital management systems, health workforce software and data consultancy for clinical and administrative teams.
- Hospital and clinic management system implementation
- Health workforce and HR platform selection
- Clinical and operational data consultancy
- 21 offerings across systems, workforce and advisory
Stated as capability. This practice is newer than the estate's data work and does not yet carry published healthcare case studies.
Visit ArmourHealthX →Managed IT
The unglamorous layer everything else sits on. Endpoint, identity, backup and the day-to-day that keeps a small company running.
- Endpoint management, patching and device security
- Identity, access and Microsoft 365 administration
- Backup, continuity and disaster recovery
- 32 services across SMB, cloud-hybrid and co-managed models
Technical recruiting
Hiring for roles the estate actually works in. Screening done by someone who has done the job, not matched on keywords.
- Direct-hire and contract placement
- Contract-to-hire and executive search
- Recruitment process outsourcing
- Long-running talent pipelines for data and cloud roles
Why one armoury
Specialists are easy to find. Continuity isn't.
Most buyers assemble a data architect, a cloud consultant, a security reviewer and a recruiter — then spend the project translating between them. Here they are the same person, with the same context.
Evidence where it exists
The architecture practice carries 29 anonymised case studies. Newer practices are stated as capability and labelled as such — on this page and on their own sites.
Built the way it's sold
Every site in the estate is static, self-hosted-font, tracker-free and edge-delivered from a private repository. The engineering standard is visible in the product.
Who this is for
Different buyers. Same bench.
Energy operators
Production, land and revenue data that has to reconcile — and stay reconciled through an ERP migration.
Data & platform leads
A second architect to pressure-test a design, or to own the parts of the roadmap the team has no capacity for.
Founders & small firms
One relationship covering the platform, the security answers and the IT underneath, instead of four vendors.
Teams adopting AI
AI that passes an audit — with evaluation, guardrails and a human in the loop where it matters.
Worked across
SnowflakeDatabricksAWS
AzureGoogle CloudPython
dbtSQL ServerPower BI
AirflowTerraformMicrosoft 365
Technologies worked with. Not partnership or certification claims.
Questions
Frequently asked questions
Is ArmourY one company or seven?
One practice presenting seven specialist fronts. Each has its own site and service catalogue because the buyers are genuinely different, but the delivery, the standard and the point of contact are shared.
Who actually does the work?
A single principal architect, with a vetted contractor bench brought in where a project needs more hands. You are told which is which before an engagement starts.
Why are client names never shown?
Because the work sits inside operational systems under confidentiality terms. Case studies describe the problem, the architecture and the outcome, with clients anonymised by sector and system rather than named.
Which practices have delivered work behind them?
Data architecture carries the delivery record — 29 anonymised case studies. Platform, security, AI, health, IT and hiring are presented as capability, drawn from the same underlying experience. Where a practice has no published case studies, its site says so.
How does an engagement start?
A short conversation about the problem, then a written scope with a fixed price or a rate and an estimate. No procurement theatre for small pieces of work.
Tell me what's broken.
A reconciliation that won't tie out, a migration with no owner, an AI pilot that can't pass review — start with the problem, not the service list.