9:00 AM - 5:00 PM
Home / Services / NebulaGeek Capability — IT Autonomy Through Practice
Flagship Programme

NebulaGeek Capability — IT Autonomy Through Practice

We embed your IT teams in our modernisation missions — Cloud, DevOps, AI — so they operate independently once the project is delivered.

Why this programme

Most IT transformations fail less from a lack of technology than from an inability to operate what was delivered. A team trained for three days in a classroom does not become capable of maintaining a Kubernetes platform in production. A consultant who codes alone leaves nothing but a black box.

NebulaGeek Capability inverts the equation: your teams are co-pilots from the very first sprint. They participate in architecture decisions, write code alongside our engineers, and progressively take ownership of operations. When we leave, they know why the choices were made and how to evolve them.

Who it is for

Profile 1

CTO of a mid-market company in modernisation

You lead IT for an organisation of 50 to 500 people. Your teams master the existing stack but need to upskill in cloud, AI, or modern DevOps practices.

  • Hard to recruit senior cloud / AI profiles
  • Fear of long-term vendor dependency
  • Board pressure to deliver fast without losing control
Profile 2

Public sector IT leadership

You lead an IT department within a ministry, agency, or local authority. The mandate is clear: integrate AI, modernise infrastructure — without permanently outsourcing operations.

  • Data sovereignty and confidentiality constraints
  • Public procurement rules and ring-fenced budgets
  • Explicit mandate to strengthen internal capabilities

Three onboarding formats

The programme adapts to your maturity level and the scale of your initiative. Each format flows naturally into the next: a Diagnostic Sprint often leads to a Guided Mission, which can evolve into a Long-term Programme.

01

Diagnostic Sprint

Audit of current practices, skills gap mapping, identification of high-leverage initiatives. You leave with a costed 90-day roadmap and a profile-by-profile upskilling plan.

Deliverable: report + roadmap
2 wks
Duration
02

Guided Mission

A NebulaGeek team and your team co-deliver a real use case — cloud migration, AI pipeline, CI/CD overhaul, observability. Pair-programming, code reviews, co-written runbooks. Your engineers are at the wheel from the halfway point.

Deliverable: production system + operational team
8–16 wks
Duration
03

Long-term Programme

Regular presence over several quarters to orchestrate a multi-team modernisation. Successive waves by domain (cloud, data, AI, security), progressive transition to full autonomy. Ideal for strategic transformations at scale.

Deliverable: continuous transformation + full autonomy
6–12 months
Duration

Domains covered

Cloud

  • Multi-cloud architecture (AWS, Azure, GCP)
  • Infrastructure-as-code (Terraform, Pulumi)
  • Application migration and modernisation
  • FinOps and cost management

DevOps

  • CI/CD and deployment automation
  • Kubernetes in production
  • Observability (logs, metrics, traces)
  • SRE and platform reliability

AI & Data

  • LLM integration and RAG architectures
  • Data pipelines and MLOps
  • Model evaluation and governance
  • Responsible business use cases

Application Modernisation

  • Refactoring and scalable architectures
  • API design and distributed systems
  • Testing practices and software quality
  • Security by design

What your teams can do afterwards

Transferred operational capabilities

  • Deploy and operate a Kubernetes stack in production
  • Design a full CI/CD pipeline with security guardrails
  • Set up an actionable observability layer
  • Integrate an LLM with source citation and guardrails
  • Audit and optimise monthly cloud costs
  • Conduct an architecture review independently
  • Industrialise the production rollout of new services
  • Train new joiners on the stack

In practice

Recent example

How a 6-person IT team deployed their first RAG platform in 12 weeks

IT department of a regional public authority. The team had solid Python and application development skills but had never deployed an AI system to production. After 12 weeks in a Guided Mission, the team independently operates a RAG platform indexing 8,000 internal documents, with an automated ingestion pipeline, weekly response evaluation, and a governance plan validated by the legal department. NebulaGeek provided support only for the first two major post-launch evolutions.

Ready to make your team autonomous?

Let's start with a 2-week Diagnostic Sprint. We deliver a costed 90-day roadmap — no commitment beyond that.