P3 / expertise

CloudNext

  • Technology
  • software
  • consulting

P3 CloudNext builds the foundation AI actually runs on: platform, data and secure operations engineered to carry AI from pilot to production.

The next generation of enterprises won't compete on technology alone. They will compete on how fast they turn their own data, expertise and workflows into intelligence that runs in production.

P3 CloudNext builds that foundation — AI-ready cloud, data platforms and agent-capable operations, engineered rather than advised. Strongest footprint in the Microsoft cloud, the same capabilities on AWS and Google Cloud, extended to the network edge. Delivered from 48 P3 offices across six continents.

Harun Saritiken

CEO

The reality in numbers.

92%
of companies plan to increase their AI investments.
70%
of AI projects never make it into production.
90%
lack a single, governed data foundation across their systems.
35%
average cloud savings potential is left unused.

Seven areas. One end-to-end cloud practice.

From cloud ambition to a platform AI can actually run on: business case and value pools, target operating model and Cloud Center of Excellence, landing zones on any hyperscaler, policy guardrails — and a clear answer to data residency and digital sovereignty.

35%

average cloud savings potential goes unused where FinOps and architecture discipline are missing.

Strategy & Business Case

Cloud ambition, value pools and a funded roadmap.

Operating Model & CoE

Target operating model, Cloud CoE, enablement and adoption.

Landing Zones & Governance

Compliant foundations with policy guardrails from day one.

Digital Sovereignty

Data residency, EU-operated options and regulated workloads.
Move and optimize existing estates without pausing the business: portfolio assessment and disposition per workload, wave planning, lift & shift and re-platforming, application modernization with containers and microservices, and structured data center exits.

30%

typical run-cost reduction after modernization — replace with a sourced P3 project figure.

Assessment & Wave Planning

Portfolio analysis, disposition and sequenced waves.

Migration & Re-Platforming

Lift & shift where it pays, re-platforming where it saves.

Application Modernization

Containers, microservices and managed services for change.

Data Center Exit

Structured exits with clear cutover, rollback and decommissioning.
Build new digital services on platforms made for change: product discovery and solution design, cloud-native application development, API design and management, automated CI/CD pipelines, and internal developer platforms that give every team a golden path to production.

40%

shorter time-to-market for companies with modern data platforms — P3 figure, as used on the AI page.

Cloud-Native Applications

Built for scale and resilience — not lifted monoliths.

API Design & Management

Governed interfaces that turn capabilities into products.

DevOps & CI/CD

Automated pipelines from commit to production, with quality gates.

Platform Engineering

Internal developer platforms and golden paths for every team.
The platform layer AI depends on: governed data platforms including Microsoft Fabric, the runtime and orchestration agents need to act on real systems, Copilot enablement at scale, and the identity and guardrails that make autonomous workloads safe to operate.

70%

of AI projects never reach production — usually because the platform beneath them was never built for it.

AI-Ready Data Platforms

Lakehouse and Fabric foundations with governed data.

Agent Runtime & Orchestration

The platform agents need to act on real systems.

Copilot Enablement at Scale

Tenant, data and process readiness for M365 Copilot.

Agent Identity & Guardrails

Least-privilege access for autonomous workloads.
Run it well and keep it efficient: managed cloud services with clear SLAs, Site Reliability Engineering, monitoring and observability across platform and application, incident and problem management, continuous FinOps — and measurable energy and carbon optimization.

24/7

managed operations with SRE discipline — add a current SLA, MTTR or availability figure.

Managed Cloud Services

Day-two operations as a service, with clear SLAs and owners.

SRE & Observability

Error budgets, automation and telemetry that explains behaviour.

FinOps in Operations

Continuous right-sizing, showback and accountable cost owners.

Green Cloud

Energy and carbon optimization as an operational KPI.
Verticalized solutions with a telco-grade differentiator: network analytics, ODA and TM Forum-aligned architectures, smart operations and digital twins — extended to where the data is created, through 5G integration, multi-access edge computing and IoT platforms.

5G+MEC

cloud value extended to the network edge — a capability few cloud consultancies can match.

Network Analytics

Operational insight from network and telemetry data at scale.

TM Forum / ODA Architectures

Standards-aligned designs for telco landscapes.

Digital Twins & Smart Ops

Virtual replicas that sharpen operational decisions.

Edge, 5G & IoT

Compute where latency, bandwidth or sovereignty demand it.

What you gain with P3.

Four outcomes we commit to — and measure again after go-live.

AI-Ready by Construction

Cloud, data and identity built for agents and automation from day one — so AI workloads land on a platform designed for them, not retrofitted around them.

From Pilot to Production

70% of AI projects never reach production. We engineer the foundation, operations and guardrails that carry them past the pilot — and keep them running.

Outcomes You Can Defend

Every engagement carries a quantified business case — tracked in euros saved, hours reclaimed, time-to-market and availability, and reviewed after go-live.

Industry & Edge Intelligence

Automotive, telco and energy depth from the P3 Group, plus network and edge engineering no generic cloud consultancy can match.

Notes from our work.