Question 1

How do you approach enterprise AI integration?

Accepted Answer

Through architecture-first engagement: data flows, model lifecycle, observability and governance are designed together with the AI use cases — not bolted on after.

Question 2

Do you build custom models or integrate existing ones?

Accepted Answer

Both. We design the infrastructure and integration layer regardless of whether models are bespoke, foundation-model based or hybrid.

Question 3

How is AI workload elasticity managed?

Accepted Answer

Through compute fabrics that separate inference, training and orchestration concerns, with autoscaling driven by operational telemetry rather than peak provisioning.

Question 4

What infrastructure paradigms do you support?

Accepted Answer

Hybrid cloud, sovereign hosting, container orchestration and bare-metal where workload economics demand it. Architecture is driven by operational requirements, not vendor preference.

Question 5

How do you ensure high availability?

Accepted Answer

Multi-zone topology, active-active patterns where appropriate, observability-driven SLOs and tested failover procedures — not just redundant components.

Question 6

Do you support legacy modernization?

Accepted Answer

Yes. Modernization programs are staged: stabilize, decouple, replatform, then evolve — minimizing operational risk at each step.

Question 7

Where is infrastructure hosted?

Accepted Answer

Within European jurisdictions, with data residency and operational sovereignty engineered into the architecture.

Question 8

How is data residency enforced?

Accepted Answer

Through architectural controls — placement rules, regional service boundaries and audit trails — not contractual commitments alone.

Question 9

Do you support hybrid hosting models?

Accepted Answer

Yes. Workloads can be distributed across sovereign, public and on-premises footprints based on regulatory, performance and cost requirements.

Question 10

What does your DevOps engagement include?

Accepted Answer

Pipeline architecture, IaC, platform engineering, observability and operational practices — designed as a coherent system rather than isolated tools.

Question 11

Do you operate platforms post-delivery?

Accepted Answer

Yes. Long-term operational partnership is part of our engagement model, with senior on-call expertise.

Question 12

How is reliability measured?

Accepted Answer

Through SLOs aligned to business outcomes, with error budgets driving engineering trade-offs between velocity and stability.

Question 13

How is GDPR addressed in infrastructure?

Accepted Answer

Through privacy-by-design architecture — data minimization, lineage, residency and auditability embedded into platform layers.

Question 14

What is your security model?

Accepted Answer

Zero-trust principles, identity-bound workloads, encryption at rest and in transit, and continuous security operations engineering.

Question 15

Do you support audit and compliance reviews?

Accepted Answer

Yes. Platforms are designed with audit trails, evidence collection and regulator-friendly documentation as first-class concerns.

Question 16

How does an engagement begin?

Accepted Answer

With a strategic assessment of the operational, technical and regulatory context — followed by an architectural blueprint aligned to business outcomes.

Question 17

Who do we work with on your side?

Accepted Answer

Senior engineers, architects and SREs — not delivery managers translating requirements.

Question 18

Is long-term operational support available?

Accepted Answer

Yes. Continuous platform engineering, modernization and 24/7 operational coverage are part of our model.

Direct answers on operations, AI & compliance.

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