Delivery model
Our approach
Structured delivery from leadership alignment through production, aligned to your frameworks.
Delivery journey
From initiation through finalisation.
A SPECTRA engagement is run as one joined-up sequence. Each stage has a defined purpose, the methods used in that phase, and the outputs a client should expect to receive.
01
Stage 01
Initiation
Programme initiation covering mandate definition, stakeholder alignment, scope boundaries, success measures, and initial delivery framing.
Methods we use
- SLT and sponsor workshops
- Outcome mapping and success measures
- WSJF, MoSCoW, and backlog framing
- Azure DevOps epic and work-item structure
What the client gets
- Shared delivery brief
- Prioritised scope
- Initial roadmap and decision log
02
Stage 02
Discovery
Structured discovery across stakeholders, processes, tools, constraints, and estate context to establish the delivery requirement on an evidence base.
Methods we use
- Stakeholder interviews
- Process and tool inventory
- AI-assisted workshop transcription and synthesis
- User stories and pain-point capture
What the client gets
- Discovery pack
- Refined problem statement
- Initial user-story set and constraints
03
Stage 03
Design
Solution design covering architecture, interfaces, non-functional requirements, delivery decomposition, and operating-model alignment.
Methods we use
- TOGAF and C4 views
- NFR and interface definition
- Data-flow and integration design
- Decomposition into deliverable slices
What the client gets
- Solution design set
- Architecture decisions and interfaces
- Phased delivery plan
04
Stage 04
Enablement
Platform and tenant enablement covering environments, access, controls, automation, and delivery readiness prerequisites.
Methods we use
- Azure and M365 enablement
- Identity, RBAC, and conditional access setup
- CI/CD and environment preparation
- Automation and delivery guardrails
What the client gets
- Delivery-ready environments
- Access and platform controls
- Operational prerequisites in place
05
Stage 05
Delivery
Controlled implementation of the estate, applications, integrations, and automations through staged increments and governed execution.
Methods we use
- Sprint execution in Azure DevOps
- Fabric pipelines and semantic model build
- Application, API, and UX delivery
- Trunk-based development and review discipline
What the client gets
- Working increments in the client estate
- Validated backlog burn-down
- Implementation evidence and demos
06
Stage 06
Observability
Operational observability, run-state visibility, support readiness, and post-release measurement across the delivered estate.
Methods we use
- Grafana, monitoring, and burn-in observation
- Operational telemetry and alerting
- Documentation as code
- Support readiness and post-release tuning
What the client gets
- Observability coverage
- Operational baseline
- Support and run-state visibility
07
Stage 07
Finalisation
Formal handover, acceptance, closure, and transition into the agreed next operating state.
Methods we use
- Acceptance review and closure
- Operational runbooks and handover materials
- Lessons learned and decision capture
- Next-phase or BAU transition planning
What the client gets
- Handover pack
- Closure and acceptance record
- Clear onward operating position
What clients get from the process
Scoped work with a credible path to implementation
Discovery evidence, user stories, and prioritised backlog structure
Architecture views, environment needs, and delivery constraints made explicit
Observability, documentation, and handover materials that stay aligned with delivery
Enterprise delivery AI
Purpose-built AI for programme work: session capture, synthesis, and role-aligned assistants. Security-first, tenant-bound, and aligned to your frameworks—not generic consumer chatbots.