Enterprise technology services

From operational pressure to lasting capability.

Outcome-led services for organisations that need to stabilise production, improve technology assurance and responsibly introduce automation and AI.

Service portfolio

Capabilities organised around enterprise outcomes.

Each service can be engaged independently or combined into a transformation programme. The portfolio is structured around the outcomes technology leaders are accountable for—not around individual monitoring products.

01

Production Support & Managed Operations

Stabilise business-critical services, modernise the support model and create a controlled path to client handover or outcome-led managed operations.

  • Service assessment and stabilisation
  • 24×7-capable operating model
  • Knowledge and transition control
  • Year-on-year improvement commitments
02

Business Service Observability

Create an end-to-end service view that links customer journeys and business outcomes to applications, platforms, databases and digital experience.

  • Business-service and journey mapping
  • Full-stack telemetry strategy
  • Service health and impact views
  • Alerting and experience assurance
03

Reliability & Resilience Engineering

Turn service reliability into a governed engineering discipline that reduces operational risk and recurring demand.

  • SLIs, SLOs and error budgets
  • Production-readiness controls
  • Resilience and failure learning
  • Toil and incident reduction
04

Cloud & Platform Assurance

Build observable, supportable and scalable cloud and platform services across Kubernetes, middleware, databases and hybrid estates.

  • Cloud and Kubernetes assurance
  • Platform engineering standards
  • OpenTelemetry architecture
  • Capacity and performance insight
05

Automation & Integration Engineering

Replace repetitive configuration and fragmented workflows with reusable code, APIs and policy-driven engineering.

  • Python and REST API automation
  • Monitoring and policy as code
  • ServiceNow and CI/CD integration
  • Automated onboarding and compliance
06

AI & LLM-Powered Operations

Apply machine intelligence and enterprise LLM patterns to improve investigation, knowledge access, engineering productivity and response quality.

  • Operational knowledge copilots
  • Incident enrichment and summarisation
  • Event correlation and probable cause
  • Governed response assistance
07

Advisory, Governance & Transformation

Define the strategy, operating model and governance needed to turn technology investments into sustainable enterprise capability.

  • Maturity and risk assessment
  • Target operating model
  • Tool and cost rationalisation
  • Roadmap, governance and enablement

Production support transformation

Assess. Transform. Stabilise. Operate. Improve.

We begin with the production services that matter most. Vadlan establishes an evidence-led view of the existing support model, creates control and stability, and then provides a clear destination: transfer the improved capability to your teams or operate it as a managed service.

01

Assess

Baseline services, demand, incidents, risks, skills, tooling, processes and service levels.

02

Transform

Redesign governance, ownership, support tiers, escalation, observability and automation.

03

Stabilise

Reduce recurring incidents, strengthen controls and remove accumulated operational debt.

04

Transition or operate

Hand over a dependable model or run it under agreed coverage, governance and SLAs.

05

Improve

Commit to measurable year-on-year gains in reliability, automation and efficiency.

PATH 01

Stabilise and hand over

Establish a dependable operating model, documented knowledge, measurable controls and a structured transition to the client team.

PATH 02

Run as a managed service

Operate production support under agreed scope, coverage, governance and SLAs—including a 24×7-capable model where required.

Year-on-year commitments
AvailabilityMTTRIncident reductionAutomationSLA performanceOperational efficiency

How we engage

Start with the problem, not the platform.

Start a conversation

Which operational outcome should we improve first?

Discuss your environment