Common questions

FAQs

Engagement model, applications, AI, governance, security, and how to get started with SPECTRA.

What engagements do you take?

Programme delivery, Fabric and data platform build, agentic AI integration, Azure and M365 enablement, and discovery-led transformation work. Outside IR35, remote UK.

Do you work solo or as a team?

SPECTRA delivers through a structured lifecycle model with defined roles—discovery, architecture, build, test, release, and operations. Engagements are led by senior practitioners with automation and AI accelerating throughput.

How is AI used on client work?

Enterprise delivery AI for workshop capture, synthesis, and role-aligned assistants—tenant-bound, security-first, and aligned to your frameworks. Production engineering and Fabric delivery remain the core.

Do you build applications as well as data platforms?

Yes. SPECTRA covers the data estate and the application layer on top of it: React front ends, Python services, APIs, container apps, and integration boundaries that consume governed data safely.

Which frameworks do you align to?

ITIL v4, TOGAF, DevSecOps, Lean Six Sigma, PRINCE2, and client-specific SDLC. We map to what you already run—not a rip-and-replace methodology sale.

How do you approach security and compliance?

Security is designed into the estate and delivery path: Azure and Microsoft 365 enablement, access control, DevSecOps practices, GDPR-aware handling, and architecture decisions that support enterprise control requirements.

Do you support governance and Purview?

Yes. Governance is part of the offer through access models, stewardship thinking, discoverability, and a Purview-aligned roadmap where it fits the client's maturity and estate shape.

How do you keep platforms observable and maintainable?

Observability and documentation are part of delivery. SPECTRA uses monitoring, logs, operational burn-in, and documentation as code so the platform remains measurable and supportable after release.

Where does MLOps fit?

Where a programme is moving from AI experiments into managed production capability, MLOps provides the operating discipline for model deployment, monitoring, and lifecycle management alongside the wider platform.

Can you work in regulated sectors?

Yes. Lloyd's of London, NATO, RAF Engineering, and DXC programmes are in our delivery history. Security-first enablement is standard on every engagement.

What should I send in a first email?

The programme, your stack, the outcome you need, and your timeline. mark@spectradatasolutions.com — a straight answer on fit, not a calendar funnel.

Still have questions?

mark@spectradatasolutions.com