Services · Azure / AWS / GCP Services

AWS, Azure, Google Cloud — picked for your workload, not the loudest sales rep.

AWS Premier, Microsoft Azure Expert MSP, and Google Cloud Partner under one delivery model. Architecture, landing zones, build, run, and FinOps — across hyperscalers and across regions.

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Hyperscaler partnerships at the highest tier

90 days

To production-ready landing zones on any cloud

38%

Median run-cost reduction within 90 days post-migration

What we do

Capabilities under one accountable team.

AWS landing zones & advanced services

Multi-account organisation, security baselines, network architecture, and advanced services — Bedrock, SageMaker, Aurora, EKS, Connect, IoT — production-ready.

Azure Expert MSP delivery

Azure landing zones, Entra ID, AVD, Azure OpenAI, Foundry workloads, AKS, Synapse, and Sentinel SOC — government-cloud capable.

Google Cloud Premier delivery

GCP landing zones, Vertex AI, BigQuery, GKE, Anthos hybrid, Apigee, Looker — for analytics-heavy and GenAI estates.

Multi-cloud governance & FinOps

Single pane of glass for security posture, cost, identity, and tagging across the three hyperscalers — your CFO and CISO read from the same page.

What to expect

Outcomes you can hold us to — by horizon.

0–90 days

Foundations

Outcome tree, baseline metrics, and a working pilot in production by day 90 — defensible with finance, signed off by risk.

3–12 months

Scale

Squad expansion across the next 2–3 value pools. Live-parallel cutovers. Capability uplift inside the client team.

12+ months

Run & optimise

Managed run with named SLOs, quarterly value reviews, and a continuous-improvement budget reserved for innovation, not toil.

How we deliver

Five steps. One accountable team.

Strategy

2 weeks

Workload-fit assessment, hyperscaler selection per workload, target architecture, business case.

Foundation

6–10 weeks

Landing zone, identity, network, security baseline, observability — paved-road for every workload that follows.

Build

4–12 weeks

First two production workloads on the new foundation, paired with your engineers.

Optimise

FinOps, performance tuning, security hardening — measured against the 90-day baseline.

Run

Continuous

Managed services, follow-the-sun, error-budget governance, quarterly architecture reviews.

Anchor case study

Tier-1 NBFC migrates to a multi-cloud estate (AWS + Azure) — 19 months, 41% run-cost cut.

Banking · India

Problem

On-prem core hitting capacity limits. Mixed strategy across three cloud vendors. No FinOps discipline.

Solution

Hyperscaler workload-fit assessment, AWS for analytics + Azure for productivity, single FinOps and security plane, 6-wave migration over 19 months.

Impact

Run-cost −41% · Workload-fit decisions audited · Zero-downtime cutover · 100% audit pass at first attempt.

Field-tested in azure / aws / gcp services

More programmes we have shipped.

All case studies →

BFS

How we engage

Three commercial models. One outcome standard.

We avoid open-ended retainers. Every model names its outcome and its measurement window in the contract.

01 · Diagnose

Fixed-price diagnostic

2–4 week engagement. Outcome tree, baseline metrics, prioritised value pools, and a board-ready 18-month roadmap. Stop-go decision in week 4.

From USD 80k · 2–4 weeks

02 · Pilot

Outcome-linked pilot

8–12 week engagement to ship one value pool, end-to-end, with a measurable KPI commitment. Joint squads with the client team. Live-parallel before cutover.

Outcome-linked + capped fee · 8–12 weeks

03 · Scale & run

Programme + managed run

Multi-quarter scale-out with managed services on top. Quarterly value reviews. SLO-tied annual incentive. Capability transfer by design.

T&M + outcome incentive · Multi-quarter

FAQ

Frequently asked questions

Are you tied to one hyperscaler? +

No. AWS Premier, Azure Expert MSP, and GCP Partner — all delivered by senior teams. We pick per workload, not per quota.

Can you handle multi-cloud governance? +

Yes. Single security posture, identity, FinOps, and tagging plane across the three hyperscalers. Tools we know: Wiz, Lacework, Vantage, CloudHealth, Apptio.

What about sovereign cloud? +

AWS GovCloud, Azure for Government / Sovereign Cloud regions, GCP sovereign partnerships — live in three jurisdictions today.

How do you decide which cloud for which workload? +

A workload-fit assessment scoring data residency, integration footprint, talent availability, regulatory fit, total cost over 5 years. We share the model.

Pricing? +

Outcome-based for migrations and modernisations; T&M with capped fees for advisory; managed-service rates per environment.

Can you take over an existing cloud estate? +

Yes — most of our managed-services work starts that way. 90-day stabilisation programme to fix posture, cost, and reliability before we modernise.

Talk to a partner

Book a azure / aws / gcp services briefing.

A senior partner will respond within one business day with a tailored agenda.

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