Architecture to production — nothing outsourced.

Seven practice areas. Each led by a principal consultant who writes code, owns architecture decisions, and delivers production milestones — not reports.

Practice 01

Artificial Intelligence

We design and deliver production AI systems — not proof-of-concepts that stall before deployment. Every engagement ends with a model in production, governed, monitored, and handed over to your team.

  • Use-case validation and business-case development for AI programmes
  • LLM integration with RAG pipelines and vector database design
  • MLflow-based model registry, versioning, and drift detection
  • Human-in-the-loop controls and model governance frameworks
  • EU AI Act compliance assessment and documentation
  • Azure OpenAI, Databricks, and open-source model deployment
  • Automated data pipelines for ML feature stores and training datasets

Typical Outcome

First governed AI model in regulated production environment: 14 weeks from kickoff.

Practice 02

Cloud Enablement

We design and build cloud landing zones, execute migration programmes, and establish FinOps disciplines for Irish and UK organisations — from first workload to multi-cloud at scale.

  • Multi-cloud landing zone design and implementation (AWS, Azure, GCP)
  • Well-Architected reviews and remediation sprints
  • Lift-and-shift and re-platform migration programme delivery
  • FinOps programme establishment with tagging policy and showback reporting
  • Data residency and sovereignty baseline design for EU and UK requirements
  • Cloud disaster recovery and multi-region failover architecture
  • Network connectivity and private peering across hybrid environments

Typical Outcome

25–35% cloud infrastructure cost reduction within two quarters of FinOps implementation.

Practice 03

DevOps & DevSecOps

We design, build, and hand over CI/CD pipelines with embedded security controls. Engineering teams deliver more often and with less risk — without a dedicated security team for each pipeline.

  • CI/CD pipeline design and implementation on GitHub Actions, GitLab CI, Azure DevOps
  • Infrastructure as Code with Terraform, Pulumi, and Bicep
  • SAST, DAST, and SCA scanning integrated into automated gates
  • Container security, image signing, and supply-chain hardening
  • Secrets management with HashiCorp Vault and cloud-native KMS
  • FCA and NCSC DORA-aligned change control implementation
  • SLI, SLO, and error budget frameworks with Prometheus and Grafana

Typical Outcome

CVE patches deployed within 48 hours. Deployment frequency increases 3–4× in the first quarter.

Practice 04

Platform Engineering

We design and operate internal developer platforms that eliminate infrastructure friction — so engineering teams ship features instead of waiting for environments.

  • Internal developer portal design and Backstage implementation
  • Kubernetes fleet management and multi-tenant cluster design
  • Golden-path templates and self-service environment provisioning
  • GitOps delivery with ArgoCD and Flux
  • Service mesh deployment with Istio and Linkerd
  • Platform observability with Datadog, OpenTelemetry, and Loki
  • SRE practices, on-call framework design, and runbook development

Typical Outcome

Developer onboarding from weeks to hours. Infrastructure support tickets reduced by 65%.

Practice 05

Data & Analytics

We build data platforms that support both operational reporting today and AI workloads tomorrow — on a modern lakehouse foundation with proper governance from the start.

  • Lakehouse design on Databricks, Snowflake, and Azure Synapse
  • dbt modelling and data transformation layer design
  • Streaming data pipelines with Kafka and Azure Event Hubs
  • Data governance and cataloguing with Unity Catalog and Purview
  • Apache Airflow orchestration design and implementation
  • BI layer integration with Power BI and Tableau
  • GDPR-compliant data anonymisation and access control frameworks

Typical Outcome

Single governed data platform replacing three or more siloed tools within six months.

Practice 06

Technology Strategy

We produce investment cases and technology roadmaps that survive CFO and board scrutiny. Unlike advisory firms, Irish Guru executes the roadmaps we design — so recommendations are not made without delivery realism.

  • Technology portfolio assessment and rationalisation
  • Architecture roadmap development with delivery phasing
  • Build vs buy analysis for platform and tooling decisions
  • Vendor selection and procurement support
  • Technology investment case development for CFO and board presentation
  • Engineering culture and operating model assessment
  • CTO office advisory and interim CTO support

Typical Outcome

Board-approved technology roadmap with phased delivery plan within six weeks of engagement start.

Let's scope your programme

Not sure which practice fits your situation?

Book a 45-minute call with a senior consultant. We will assess your programme and tell you exactly which practice areas are relevant — no proposal first.

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