Our Workflow

Hybrid engineering and software delivery built around upstream teams

Our 5-Step Process

From initial discovery to ongoing optimization, we follow a structured approach that ensures success

01

Discovery & Diagnostics

2-4 weeks

We collaborate with asset, production, and IT teams to benchmark your current workflows, technology, and data readiness and to define measurable outcomes.

Key Activities:

  • Stakeholder interviews and operational diagnostics
  • System, data, and workflow gap analysis
  • Value hypothesis, KPIs, and success definition
  • Risk register and enablement strategy

Deliverables:

Discovery ReportGap & Value MatrixOutcome Charter

Discovery & Diagnostics

We collaborate with asset, production, and IT teams to benchmark your current workflows, technology, and data readiness and to define measurable outcomes.

2-4 weeks
02

Solution Blueprint

3-6 weeks

We co-create an integrated architecture across modelling, IAM/DOF, software, and training so every initiative lands together.

Key Activities:

  • Solution architecture and delivery roadmap
  • Platform, tooling, and integration design
  • Change management, training, and adoption plan
  • Security, governance, and data model definition

Deliverables:

Blueprint & RoadmapArchitecture PackEnablement Plan

Solution Blueprint

We co-create an integrated architecture across modelling, IAM/DOF, software, and training so every initiative lands together.

3-6 weeks
03

Build & Integration

8-16 weeks

Hybrid squads deliver digital twins, IAM/DOF workflows, analytics, and software releases while iterating with your users.

Key Activities:

  • Agile sprints combining engineering and software
  • Data integration, automation, and model configuration
  • Iterative testing with live users and stakeholders
  • Operational readiness, documentation, and handover

Deliverables:

Configured PlatformsAnalytics & WorkflowsKnowledge Base

Build & Integration

Hybrid squads deliver digital twins, IAM/DOF workflows, analytics, and software releases while iterating with your users.

8-16 weeks
04

Deployment & Enablement

2-4 weeks

We orchestrate go-live, train users, and provide hypercare so solutions land smoothly in daily operations.

Key Activities:

  • Phased roll-out with cutover and contingency planning
  • User training, labs, and coaching
  • Hypercare support with KPI tracking
  • Operational governance and ownership transition

Deliverables:

Go-live PlaybookTraining AssetsRunbooks & SOPs

Deployment & Enablement

We orchestrate go-live, train users, and provide hypercare so solutions land smoothly in daily operations.

2-4 weeks
05

Optimisation & Managed Services

Ongoing

Our managed services teams keep the programmes delivering value with continuous optimisation, coaching, and support.

Key Activities:

  • Production surveillance, analytics tuning, and insights
  • System health checks, upgrades, and enhancements
  • Continuous training, coaching, and change support
  • 24/7 incident response and SLA-backed support

Deliverables:

Service DashboardsPerformance ReportsEnhancement Backlog

Optimisation & Managed Services

Our managed services teams keep the programmes delivering value with continuous optimisation, coaching, and support.

Ongoing

Our Methodologies

Capabilities that keep delivery aligned, transparent, and adoptable

Hybrid Delivery Squads

Cross-functional squads of petroleum engineers, analysts, and software developers deliver together in sprint cycles.

Benefits:

Integrated expertiseAgile sprintsTransparent co-creationContinuous feedback

Automation & DevOps

Infrastructure-as-code, CI/CD, and automated testing keep deployments repeatable and resilient across environments.

Benefits:

CI/CD pipelinesAutomated testingScalable infrastructureObservability

Change & Enablement

Dedicated adoption, training, and communication workstreams ensure solutions stick with end users.

Benefits:

Structured change plansHands-on trainingEmbedded championsSustained adoption

Tools & Technologies

The toolchain we rely on to blend engineering expertise with software delivery

Planning & Collaboration
JiraConfluenceNotionMiro
Engineering & Modelling
IPM / IFMPetrelPythonMATLAB
Software Delivery
GitDockerKubernetesCI/CD
Analytics & Visualisation
Power BIGrafanaSpotfireSuperset
Monitoring & Support
PrometheusELK StackNew RelicPagerDuty
Documentation
GitBookSwaggerDocusaurusSharePoint

Our Success Metrics

Measurable impact from recent IAM, modelling, and software programmes

Forecast Cycle Reduction

30%

Average reduction in modelling and forecasting turnaround

Adoption

95%

User adoption achieved within three months of go-live

Production Impact

+12%

Average uplift from optimisation and debottlenecking initiatives

Support Responsiveness

<1 hr

Average response time for managed service incidents

Ready to Accelerate Your Programme?

Let's discuss how our hybrid delivery model can unlock measurable value for your asset teams.