Services scoped to production outcomes

Each practice area is led by consultants who implement — not delegate. Engagements tie fees to measurable targets: migration milestones, release cadence, audit readiness, and platform adoption.

Service 01

Artificial Intelligence

Move from AI pilots to governed production systems — with data readiness, model deployment pipelines, and human-in-the-loop review where regulators require it.

  • Use-case selection and ROI modelling aligned to business priorities
  • Data architecture and pipeline engineering for model training and inference
  • Production deployment with monitoring, drift detection, and rollback procedures
  • AI governance frameworks aligned to EU AI Act expectations and internal risk policies
  • Document intelligence, classification, and extraction for regulated workflows

Typical outcome

First governed production model deployed within 14 weeks, with audit trail and model documentation accepted by compliance review.

Service 02

Cloud Enablement

Landing zones, workload migration, and FinOps operating models on AWS, Azure, and GCP — designed for Irish and UK data residency and security classification requirements.

  • Cloud landing zone architecture with identity, networking, and security baselines
  • Application migration planning and execution using rehost, refactor, and rebuild patterns
  • FinOps governance, tagging standards, and cost optimisation programmes
  • Hybrid and multi-cloud architecture for data residency and DR requirements
  • Cloud operating model design — roles, change control, and runbook integration

Typical outcome

25–35% infrastructure cost reduction within two quarters, with migration waves completed on schedule and security controls validated against NCSC cloud principles.

Service 03

DevOps & DevSecOps

CI/CD pipelines, infrastructure as code, and automated security gates integrated into your existing toolchain — without a six-month tooling project before value is delivered.

  • CI/CD pipeline design and implementation across GitHub Actions, GitLab, and Azure DevOps
  • Infrastructure as code with Terraform, Pulumi, or CloudFormation and policy-as-code guardrails
  • Automated security scanning — SAST, DAST, dependency analysis, and secrets management
  • Release management with feature flags, canary deployments, and rollback automation
  • SRE practices: SLIs, SLOs, error budgets, and incident response runbooks

Typical outcome

Deployment frequency increases 3–5× within the first quarter, with critical vulnerability remediation reduced from weeks to under 48 hours.

Service 04

Platform Engineering

Internal developer platforms with golden paths, self-service environments, and observability standards — reducing platform team toil and product-team wait time.

  • Internal developer portal design and implementation using Backstage or equivalent
  • Golden path templates for common application and service patterns
  • Kubernetes platform engineering, cluster management, and multi-tenancy controls
  • Service catalogues, API gateways, and standardised observability stacks
  • Developer experience measurement and continuous improvement programmes

Typical outcome

Developer onboarding reduced from weeks to days, with infrastructure-related support tickets cut by 50% within six months of platform launch.

Service 05

Data & Analytics

Lakehouse and warehouse architecture, pipeline engineering, and data governance that supports operational reporting and AI workloads on a single trusted foundation.

  • Modern data platform architecture — lakehouse, warehouse, and streaming layers
  • ETL/ELT pipeline development with dbt, Airflow, and cloud-native orchestration
  • Real-time data streaming with Kafka, Kinesis, or Event Hubs
  • Data governance, quality frameworks, lineage, and metadata management
  • Executive dashboards and self-service analytics enablement for business teams

Typical outcome

Monthly reporting cycles cut by 60%+, with data quality scores improving measurably within two quarters of platform operation.

Service 06

Technology Strategy

Target architecture, migration sequencing, vendor selection, and investment cases — written by practitioners who will also execute the roadmap, not hand it to a separate delivery team.

  • Technology roadmap development aligned to business objectives and regulatory timelines
  • Enterprise architecture assessments and target state design with dependency mapping
  • Vendor evaluation, RFP support, and procurement advisory for Irish and UK frameworks
  • Technical due diligence for M&A and investment decisions
  • Organisational design for engineering, platform, and security functions

Typical outcome

Board-ready 18-month roadmap delivered in four weeks, with prioritised investment cases, risk assessments, and migration sequencing validated by engineering leads.

Service 07

Automation & Delivery Acceleration

Targeted programmes to eliminate manual processes, accelerate release cycles, and modernise legacy application portfolios — scoped to specific bottlenecks, not open-ended transformation.

  • Workflow and process automation using event-driven architectures and integration layers
  • Legacy application assessment and incremental modernisation with strangler-fig patterns
  • Test automation strategy and implementation across unit, integration, and end-to-end suites
  • Delivery metrics programmes — DORA metrics, flow efficiency, and cycle time analysis
  • Engineering team augmentation for critical migration and release phases

Typical outcome

40–60% reduction in manual processing time on targeted workflows, with first production releases from modernisation accelerators within 12 weeks.

Not sure where to start?

A 45-minute call with a senior practitioner. We will help identify the highest-impact service area for your current priorities — with no obligation to proceed.

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