Cloud work that ships — from strategy to cutover to run.

For most mid-market estates (50–500 servers or up to ~2,000 users), 3–5 weeks from kickoff to executive readout. Small estates can complete in 2 weeks; large or heavily regulated estates are scoped individually during a free discovery call.

No. The assessment is deliberately scoped as a standalone engagement — every deliverable is designed so your team (or any partner) can execute it. Most clients do continue with us, but the roadmap is yours either way.

There is no 'usually'. Microsoft-heavy estates with E3/E5 licensing often favour Azure; data-and-analytics-led organisations frequently land on Google Cloud; teams with existing AWS skills or marketplace dependencies typically stay AWS. We show the scoring, not just the answer.

Yes — it's included. We map where Microsoft Copilot, Azure OpenAI, AWS Bedrock or Google Vertex AI would fit your workloads, and more importantly, what identity, data governance and security foundations need to exist before AI tools are switched on safely.

For most workloads, minutes — the final cutover is a controlled switch after continuous replication, not a copy job. Genuinely zero-downtime patterns are available for suitable applications (blue-green, DNS-weighted). Where a workload physically requires an outage (some legacy databases), we agree the window with you weeks in advance.

Every cutover has documented go/no-go criteria and a tested rollback plan. If validation fails inside the window, we roll back to source — which remained untouched — and reschedule after root-cause analysis. Rollback is a planned path, not an emergency.

Yes, with eyes open. End-of-life Windows/Linux workloads can be rehosted with compensating controls (isolation, extended security updates), replatformed, or scheduled for modernisation in a later phase. What we won't do is silently move a security risk without flagging it.

A single-application move can complete in 2–3 weeks. A 100–300 VM estate typically runs 3–6 months including assessment. Full data-centre exits are scoped against your contractual deadline — tell us the date and we plan the waves backwards from it.

Under 50 users: often 1–2 weeks end-to-end. 50–500 users: typically 3–6 weeks including a pilot wave. 500+ users or complex tenant-to-tenant scenarios (Teams history, litigation holds, multi-domain): scoped individually, commonly 8–16 weeks. Discovery gives you a committed timeline before any work begins.

No. We use delta synchronisation — users keep working in the source environment while data copies in the background, and repeated sync passes capture changes right up to cutover. Validation reports confirm item counts and data integrity per user before we switch anyone.

Yes. Native Microsoft tooling doesn't cover Teams channel and chat history in most tenant-to-tenant scenarios, so we deploy specialist migration tooling where history retention matters. We'll tell you honestly what each platform can and can't preserve — including the edge cases — during discovery.

Cross-platform moves add format translation (Google Docs ↔ Office formats, Drive ↔ SharePoint permission models) and calendar quirks. It's routine work for us — the key is a realistic pilot that surfaces the translation issues on 20 users instead of 2,000.

eDiscovery cases, retention policies and DLP rules are tenant-bound and never migrate automatically. We inventory them during discovery, recreate them in the target, and validate before cutover. Mailboxes under litigation hold get special handling — flagged early, never silently skipped.

Yes — it's one of our most common engagements. We run a structured review (security posture, cost, resilience, IaC coverage), fix the highest-risk gaps first, then bring the estate under code and operations discipline incrementally. No big-bang rebuild required.

Yes. Our operating footprint across UK, US East Coast and West Africa gives natural follow-the-sun coverage, with defined response SLAs by severity. Many clients choose business-hours cover with out-of-hours escalation instead — we scope what you actually need.

The usual sequence: right-size over-provisioned compute, remove orphaned storage and IPs, schedule non-production environments, then commit (savings plans / reservations) on the stable baseline. 20–35% reduction in the first 90 days is common on unoptimised estates — we report it monthly so you can see it.

That tension is exactly what our AI foundations work solves: private endpoints, tenant data boundaries, content filtering, logging and access policies deployed before the first prompt. Security gets enforceable controls; the business gets Copilot, OpenAI or Vertex without shadow IT.