Integration & Support Services

Seamless deployment across every infrastructure model — and a team that stays with you long after go-live.
Deployment Options
  • On-premises deployment
    Secure, private infrastructure for sensitive data and strict compliance requirements. Your data never leaves your perimeter. This is our default for banking, healthcare, defence and government.
  • Hybrid deployment
    A flexible architecture combining on-premises and cloud. Sensitive workloads stay local while elastic workloads scale outward, all managed under a single operating model..
  • Cloud deployment
    Scalable solutions on AWS, Microsoft Azure and Google Cloud Platform, for the workloads where data residency is not the binding constraint.
Support Services

Go-live is the start of the engagement, not the end of it. Our support model covers the infrastructure, the automations running on it and the teams who depend on them daily.

  • 24/7 technical support and helpdesk
  • Proactive monitoring and maintenance
  • Performance optimisation and tuning
  • Regular updates and security patches
  • SLA-backed service level agreements
Keeping AI Systems Healthy in Production

Automation is not a one-time deployment. Source systems change, document formats drift and model accuracy degrades quietly if nobody is measuring it. Our support covers the AI layer, not just the infrastructure beneath it.

  • Accuracy and drift monitoring — output measured against agreed thresholds
  • Model and prompt lifecycle — versioning, controlled updates and regression testing
  • Bot and agent maintenance — automations updated when source systems change
  • Capacity and cost management — GPU and infrastructure utilisation tracked and tuned
  • Security patching and audit support — logs and evidence available for auditors
How We Begin

Most engagements start with a short assessment rather than a proposal. We look at what you need to run and where it needs to run, then scope the deployment that actually fits.

  • Consultation — we assess your current environment, workloads and requirements
  • Placement review — each workload mapped against compliance, latency and cost
  • Tailored plan — a deployment strategy matched to your obligations
  • Implementation — integration, migration and production go-live
  • Ongoing support — monitoring, maintenance and continuous optimisation