We take care of your project

Project Management

Good project management is what gets a project delivered on time, within budget and to the expected quality. We bring technical project leadership for cloud, DevOps, data and AI projects – people who understand both the plan and the technology behind it.

Isometric illustration of a team at a table with a Gantt chart, calendar, checklist and progress chart

Agile & SAFe

Scrum, Kanban and the Scaled Agile Framework for projects where requirements evolve and many teams work together.

Waterfall

Linear and sequential delivery – the right choice when requirements, budget and dates are fixed up front.

Hybrid

Structured phases and governance where they help, agile iterations where flexibility is needed.

Technical project leadership

Many IT projects struggle not because of the plan, but because the plan and the technology drift apart. Our project and team leads have a hands-on engineering background in cloud and DevOps, so they can judge estimates, spot technical risks early and talk to engineers and management in their own language.

What we cover

  • Project and backlog management – scope, user stories, prioritization and a backlog that reflects the roadmap.
  • Planning – sprint and release planning, milestones, dependencies and capacity planning across teams.
  • Delivery tracking – progress monitoring, KPIs and delivery metrics, with transparent reporting to stakeholders and senior management.
  • Stakeholder management – collecting requirements, aligning expectations and keeping communication clear and structured.
  • Risk management – identifying risks early, evaluating trade-offs between cost, time and complexity, and acting before they become problems.
  • Multi-team coordination – aligning development, operations, DevOps, security and compliance teams, also across time zones.
  • Team leadership – coaching and mentoring engineers, setting team goals and supporting recruitment and onboarding.
  • Governance and quality – definitions of done, reviews, documentation and compliance with frameworks such as GxP and GAMP.

Five phases, clearly managed

  1. Initiation – define the project at a high level, write the project charter and identify stakeholders.
  2. Planning – set scope, objectives, schedule, budget and the risk management plan.
  3. Execution – carry out the plan and coordinate people and resources.
  4. Monitoring and controlling – track progress against the plan and adjust early.
  5. Closure – complete deliverables, get stakeholder acceptance and capture lessons learned.

Typical projects

  • Cloud migrations and data center exits.
  • Building DevOps platforms and introducing CI/CD and Infrastructure as Code.
  • Data platform and analytics projects on Azure Databricks and Microsoft Fabric.
  • AI proofs of concept and their path to production.
  • Digital transformation programmes involving several teams and vendors.

Need someone to take care of your project?

Tell us where the project stands – we'll propose how to get it delivered.