Offerings

24/7/365 security operations center threat hunting using IBM QRadar SIEM

Continuous vulnerability scanning powered by Nessus technology

AI-native email scanning targeting payloadless impersonation attacks

CREST-certified simulated attacks mimicking advanced persistent threats

End-to-end Azure cloud administration, patching, and monitoring

Dedicated software-defined interconnection bypassing public internet

Unified analytics engine aggregating multi-cloud consumption and billing

Power BI cost-optimization and analytics dashboard

8-week "Ingest to Insight" build on Microsoft Fabric / Databricks — pipelines, Purview governance and Power BI, carrying data maturity from 2 to 5

24/7 managed operations with AI/MLOps and Riverbed NPM — anomaly detection, governance and continuous tuning

Certified-FinOps baseline of Azure spend — rightsizing, reservations and a maturity roadmap, funded via Microsoft Solution Assessment Program

C-suite CAF engagement — readiness, reference architecture and a prioritized cloud adoption roadmap

Automated scanning mapping workloads and calculating optimized compute targets

Factory-style migration of servers, SQL and VMware to Azure with landing zone and runbooks — AMM-funded

Cloud-native backup and disaster recovery that turns backups into a live, queryable, AI-ready data lake — ransomware-protected and agentless across AWS, Azure and Google

FinOps engagement deploying cloud architects to execute physical savings

Partner-led assessment of Microsoft Fabric fit — data-architecture review and an adoption roadmap

Engineered migration of workloads into the Azure landing zone — AMM-funded

Expert-led 1-to-1 Azure strategy workshop — an executive cloud adoption roadmap

Deep-dive estate discovery with a TCO business case for Azure

Vendor-neutral Well-Architected Review across reliability, security and cost

Rigorous cloud security audit against CIS benchmarks with dark-web exposure check

Migrate and modernise Windows Server and SQL workloads onto AWS with licensing optimisation

Rapid, secure deployment of Azure Virtual Desktop for modern remote work

Secure, governed Azure Enterprise-Scale Landing Zone via Infrastructure as Code

Secure multi-account AWS foundation via Control Tower and landing zone automation

Microsoft-funded FastTrack enablement for Microsoft 365 and Azure adoption

Managed FinOps and commercial advisory across Azure consumption

24x7 cloud support and infrastructure optimisation wrapper with SLAs

24x7 managed operations for AWS — MS:Core and Elite tiers

24x7 managed detection and response with cloud-native protection for AWS

Rapid FinOps assessment of Azure spend — waste, anomalies and a prioritized savings roadmap

Wave-based migration of on-premises workloads to Microsoft Azure with partner funding

Assess AI and cloud readiness — landing-zone, migration and AI-adoption plan on Azure

Assess the on-premises and cloud infrastructure estate — inventory, dependencies and modernisation options

Assess readiness to run and operate hybrid cloud across Azure, AWS and on-premises

Migrate email, files and collaboration to Microsoft 365 with minimal disruption

Migrate VMware workloads to cloud IaaS (Azure VMware Solution or native) with minimal re-architecting

Full exit from on-premises data centres — migrate, protect and decommission with DR continuity

Refactor monolithic apps into microservices, containers and Azure PaaS

Codify Azure landing zones and infrastructure with Bicep/Terraform and CI/CD

Turnkey on-premises private AI — HPE + NVIDIA 'AI factory in a box' for RAG, inferencing and fine-tuning

Ongoing managed FinOps — continuous cloud cost optimisation, governance and reporting

24/7 managed operations across Azure, AWS and hybrid, with governance and continuous optimisation

Managed cloud support — 24/7 helpdesk, incident and request management for Azure and AWS

Fully managed Azure and AWS operations — monitoring, patching, security and optimisation

Fully managed VMware-based IaaS across Azure VMware Solution and hosted private cloud

Rapid FinOps assessment of Azure spend — waste, anomalies and a prioritized savings roadmap

Assess AI and cloud readiness — landing-zone, migration and AI-adoption plan on Azure

Assess readiness to run and operate hybrid cloud across Azure, AWS and on-premises

Migrate VMware workloads to cloud IaaS (Azure VMware Solution or native) with minimal re-architecting

Refactor monolithic apps into microservices, containers and Azure PaaS

Turnkey on-premises private AI — HPE + NVIDIA 'AI factory in a box' for RAG, inferencing and fine-tuning

24/7 managed operations across Azure, AWS and hybrid, with governance and continuous optimisation

Fully managed Azure and AWS operations — monitoring, patching, security and optimisation

Wave-based migration of on-premises workloads to Microsoft Azure with partner funding

Assess the on-premises and cloud infrastructure estate — inventory, dependencies and modernisation options

Migrate email, files and collaboration to Microsoft 365 with minimal disruption

Full exit from on-premises data centres — migrate, protect and decommission with DR continuity

Codify Azure landing zones and infrastructure with Bicep/Terraform and CI/CD

Ongoing managed FinOps — continuous cloud cost optimisation, governance and reporting

Managed cloud support — 24/7 helpdesk, incident and request management for Azure and AWS

Fully managed VMware-based IaaS across Azure VMware Solution and hosted private cloud

Multi-tenant cloud billing, rerated to your own price books, with margin protected on every invoice

Continuous, non-disruptive resource rightsizing across the hybrid estate, executed rather than reported

A fixed-fee read of the current contact centre and a costed path to Amazon Connect

NIST 800-53 control assessment and the remediation plan that gets a workload to an authority to operate

Automated migration from Genesys and legacy CX platforms to native Amazon Connect, business logic preserved

No-code design and governance for Amazon Connect flows, so new journeys ship in days not quarters

Control Tower landing zone, multi-account structure and guardrails delivered as code

Provider-patient conversations turned into structured, EMR-ready clinical notes

Claims automated end to end — intake, fraud detection, routing, settlement and customer updates

Native ServiceNow and Amazon Connect integration, so the case and the conversation are one record

Legacy applications replatformed to containers and serverless, API-driven and multi-region

Real-time observability and best-practice enforcement across every Amazon Connect instance

24x7 monitoring, administration and optimisation of the contact centre platform

Continuous AWS cost optimisation run as a service, with the savings reported monthly

Live guidance for agents during the call, and journey analytics across every channel after it

Six-dimension read of AI readiness and the roadmap to a first production use case

Whether the data estate can actually feed AI, and what it takes to get there

AWS Well-Architected Review focused on the AI and data workloads already running

What it takes to get SAP data out of the core and into the AI platform

Estate moved to AWS under the 7R framework, sized for AI and data rather than for yesterday's load

One governed lakehouse on Google Cloud that analytics and AI both build on

AI workloads running under EU data residency, customer-held keys and documented control

SAP moved to the hyperscaler under the five-phase model, with the AI data path built in

Prototypes and vibecoded apps turned into production software that passes security review

Enterprise knowledge made retrievable, so AI answers from your documents instead of guessing

GKE and MLOps pipelines so models ship, scale and roll back like any other workload

Copilot and workplace AI rolled out with the identity, data access and audit controls that make it safe

One governed endpoint for every model, with budgets, SSO and an audit trail per request

A central AI platform that stays GDPR-compliant and under your control, in a sovereign environment

AI platforms run as a service, with AI FinOps and AI SecOps at a predictable monthly fee

Complete operational takeover of the AWS estate carrying the AI and data platform

The data platform run as a service — pipelines, quality, lineage and access, monitored and maintained

Virtual CISO and managed security covering the AI estate as well as the cloud one

Independent read of whether the estate still fits the business, and what to change first

Where the estate's cryptography will break when quantum arrives, and what to migrate first

Six-dimension read of AI readiness and the path to a first agent in production

Whether the data estate can feed AI, and what it takes to get there

Critical systems modernised in milestones, with the risk taken out of each step

AI agents running next to the data they need, on the Power estate that already holds it

Enterprise knowledge made retrievable, so agents answer from your documents instead of guessing

AI agents that do the work across your existing systems — built no-code, run by Celerity

Documents and unstructured content turned into data that systems and agents can act on

IBM Bob run as a managed service, taking teams from AI-assisted coding to production-ready software

Delivery pipelines, automated testing and release practice that make deployment routine

Managed AI governance — visibility, control and audit-ready evidence across the whole AI estate

Cloud spend made visible, attributable and smaller — run as a service rather than a project

Proactive monitoring and management across IBM Cloud, hybrid and on-premises Power estates

Backups proven recoverable and clean — tested automatically, not assumed

One governed endpoint for every model, with budgets, single sign-on and an audit trail per request

AI platforms run as a service, with AI FinOps and AI SecOps at a predictable monthly fee

The data platform run as a service — pipelines, quality, lineage and access, monitored and maintained

Strategic procurement advisory aligning software agreements with IT goals

Device staging using Windows Autopilot shipped directly to remote users

Assessment evaluating M365 tenant data access, permissions, and security controls

Secure virtual cloud desktops integrated with KMS encryption