Every card below is a full enterprise capability — not a keyword. Filter by pillar, find the skill, and we deploy vetted specialists on demand, onshore or offshore, with compliance-first onboarding.
End-to-end migration programmes from ECC to S/4HANA — assessment, conversion, data migration and cutover. Functional, technical and architecture roles staffed as a coherent squad, not a CV list.
Custom development across classic ABAP, RAP, Fiori/UI5 and the Business Technology Platform. Clean-core extension patterns that survive upgrades instead of blocking them.
Interface design and build on SAP Integration Suite, PI/PO migration and API-led connectivity. Specialists who treat integration as architecture, not plumbing.
Employee Central, recruiting, onboarding, performance and compensation modules configured and run. HRIS consultants who speak both HR process and SAP configuration.
Source-to-pay and external workforce management implementations. Procurement-fluent consultants who connect supplier processes to ERP financials cleanly.
Planning, warehousing and transportation specialists for asset-heavy and logistics-intensive enterprises. Deep module knowledge paired with real operational context.
Analytics Cloud stories and planning, Datasphere modelling and master data governance. The data side of SAP, treated with the same rigour as the transactional core.
Landscape administration, role design, authorisations and GRC access control. The controls layer auditors ask about first — kept audit-friendly by default.
Financials, procurement and projects on Fusion Cloud — implementation, rollout and post-go-live support. Consultants with genuine multi-pillar Fusion depth.
HCM and supply chain modules configured for global, multi-entity organisations. Functional leads who manage localisation and legislative complexity without drama.
Planning, budgeting and consolidation on EPM Cloud, plus NetSuite for fast-moving subsidiaries. Finance-transformation consultants who own numbers end to end.
OCI architecture, database administration, PL/SQL engineering and Oracle Integration Cloud. The technical bench behind every serious Oracle estate.
Finance & Operations, Customer Engagement and Business Central implementations. Microsoft-stack consultants who design for the platform, not against it.
Low-code applications, workflow automation and governed citizen-development frameworks. Speed without the shadow-IT sprawl that usually follows it.
Collaboration architecture, information governance and Copilot readiness across the M365 estate. Adoption that sticks because the underlying data is in order.
Multi-cloud Salesforce implementations with certified developers, architects, admins and BAs. Revenue processes designed once and reused across regions.
Customer data unification, agentic AI on Agentforce and API-led integration through MuleSoft. The modern Salesforce stack, staffed as one coherent capability.
ITSM, ITOM, HRSD, SecOps and App Engine on ServiceNow; HCM, Financials and Adaptive Planning on Workday. Platform owners, architects, developers and admins for both estates.
Solution architects, DevOps, security and data engineers across the AWS portfolio. Well-architected reviews and landing zones that pass scrutiny, not just deploy.
Enterprise-scale Azure landing zones, hybrid identity and workload engineering. Deep alignment with Microsoft-centric estates and Dynamics/M365 dependencies.
GCP infrastructure, data platform and Kubernetes engineering. Often the analytics-led cloud in a multi-cloud strategy — we staff it accordingly.
Portfolio assessment, 6R disposition, migration factories and application modernisation. Migrations run as programmes with cost baselines, not lift-and-hope.
Cluster design, service mesh, workload security and platform operations across EKS, AKS and GKE. Container platforms treated as products with SLAs.
Codified infrastructure with Terraform, Bicep and policy-as-code guardrails. Environments that are reproducible, reviewable and revertible by design.
SLO-driven reliability engineering, internal developer platforms and golden paths. The discipline that turns cloud spend into dependable delivery velocity.
The unglamorous backbone — server administration, patching, directory services and enterprise networking. Run steadily onshore, offshore or follow-the-sun.
Tagging strategy, showback/chargeback, commitment management and continuous rightsizing. Cloud economics owned by named people with targets.
Policy frameworks, guardrails and compliance-aligned account structures across providers. Freedom for teams inside boundaries the CISO can defend.
Telemetry pipelines, dashboards and alerting tuned to business services rather than raw hosts. Fewer, better alerts — and evidence when things go wrong.
Pipeline engineering across GitHub Actions, Azure DevOps, GitLab and Jenkins. Release trains that ship on cadence with rollback paths built in.
Batch and streaming pipelines, lakehouse architecture and data contracts. Engineers who design for downstream consumers, not just ingestion counts.
Warehouse and lakehouse builds, performance tuning, cost control and governance on the two dominant platforms. Certified specialists with production scars.
Cloud-native warehousing on Azure, Google and AWS stacks. The right engine matched to the estate you already run, not the one on the conference slide.
Semantic models, executive dashboards and self-service enablement. Reporting that answers decisions rather than decorating them.
Ingestion and transformation across dbt, Informatica, Talend and native cloud tooling. Documented lineage so month-end numbers can be trusted and traced.
Master data management, cataloguing, stewardship models and quality rules. The groundwork every AI ambition quietly depends on.
Feature pipelines, model training and deployment at production grade. ML treated as software engineering with monitoring, not notebooks in production.
RAG architectures, LLM application engineering and prompt design across OpenAI, Anthropic and Gemini stacks. Grounded systems with measurable accuracy, not demos.
Model registries, CI/CD for ML, drift monitoring and retraining automation. The operational spine that keeps models honest after launch day.
Model documentation, bias monitoring, human-oversight design and AI-governance readiness. Built to satisfy the questions risk committees actually ask.
Document intelligence, speech, vision inspection and multimodal applications. Specialist teams for problems where generic LLM calls aren't enough.
AI product managers and business analysts who translate model capability into workflow value. The connective tissue between data science and the P&L.
SOC analysts, SIEM engineering and detection content across Sentinel, Splunk and QRadar. Monitoring tuned to your threat model, staffed across time zones.
Identity lifecycle, SSO, PAM and entitlement governance across Entra, Okta, SailPoint and CyberArk. Identity as the control plane, engineered properly.
CSPM, workload protection and secure landing-zone hardening across AWS, Azure and GCP. Security embedded in the platform rather than bolted on after.
SAST/DAST/SCA pipelines, threat modelling and secure-by-design coaching for engineering teams. Shift-left that developers actually adopt.
Segmentation, SASE, firewall estates and zero-trust roadmaps. Architects who design the target state and engineers who get you there safely.
Structured offensive testing plus continuous vulnerability triage and remediation tracking. Findings turned into fixed, not filed.
Threat landscape monitoring, IR playbooks, tabletop exercises and surge responders when it matters. Preparation priced in peacetime, not crisis.
Risk registers, control frameworks and board-grade reporting. GRC consultants who make risk legible to executives and auditors alike.
Gap assessments, control implementation and audit preparation for certification programmes. Readiness consulting — your certificate, earned properly.
Privacy impact assessments, records of processing, data-subject request operations and privacy-aware delivery design across European and South African regimes.
Bot development, orchestrator administration and centre-of-excellence operating models. RPA estates run with pipeline discipline and measured savings.
Cross-platform RPA engineering and migration between vendors. Useful when licence economics change and the automation must not stop.
Cloud flows, desktop automation and custom copilots inside the Microsoft governance envelope. Automation where your users already live.
Process discovery, conformance analysis and value-realisation tracking. Evidence of where the friction really is before anyone writes a bot.
Opportunity assessment, PDD/SDD documentation and automation portfolio governance. The layer that separates scaled programmes from bot graveyards.
Task-specific agents with tool use, memory and defined guardrails. Engineers who build agents for production workflows, with human checkpoints designed in.
Agent-to-agent workflows, escalation logic and orchestration architecture. Designed so accountability always resolves to a named human owner.
Framework-level engineering for retrieval, tool calling and evaluation harnesses. Production patterns, version discipline and test coverage included.
Platform-native agents inside Salesforce and ServiceNow — built where the data and workflow already sit, governed by platform permissions.
Test design for non-deterministic systems — evaluation sets, regression harnesses and human-review sampling. Quality engineering for the agentic era.
Product-grade frontend and full-stack teams across the modern JavaScript ecosystem. Pods that ship features, not just commits.
Service development across the enterprise backend languages, with performance and maintainability treated as first-class requirements.
Specialist engineers for polyglot estates and inherited platforms. Legacy respected, modernised deliberately rather than rewritten recklessly.
Native and cross-platform mobile teams covering build, release management and store operations. One backlog, every device.
API design, service decomposition and event-driven architecture. Contracts documented, versioned and owned — the difference between services and sprawl.
Middleware, messaging and B2B integration across the estate. The connective layer that determines whether systems cooperate or collide.
Test automation frameworks, regression suites and structured manual testing where judgement matters. Quality measured, not asserted.
Load modelling, bottleneck analysis and capacity planning before launch days find them for you. Performance as a designed property.
Delivery leadership that keeps teams honest about scope, cadence and outcomes. Process in service of shipping, never the other way round.
System design, technology selection and architecture governance across programmes. Decisions documented with trade-offs, revisited on evidence.
Specialist technical recruiters and sourcers for hard-to-fill roles, supported by AI-assisted screening with human review at every gate.
Leadership search and structured TA operations for scaling organisations. Confidential, evidence-led and run to agreed timelines.
Employee lifecycle administration, HR helpdesk and policy operations run as a managed service line with defined SLAs and quality sampling.
Multi-country payroll coordination, comp benchmarking and benefits administration. Precision work where errors are personal — treated accordingly.
System administration, integrations, reporting and release management for the HR technology estate. The platform side of people operations.
L&D programme operations, capability academies and structured ER case support. The people infrastructure behind retention numbers.
Headcount modelling, HR analytics, employer branding support and mobility administration. Workforce decisions made with data, executed with care.
Requirements engineering, process documentation and data-literate analysis. The translation layer every transformation quietly depends on.
Delivery leadership from single projects to portfolio PMOs. Status you can trust, risks surfaced early, decisions escalated in time to matter.
Adoption strategy, stakeholder engagement and operating-model redesign. Because technology programmes fail on people, not servers.
Financial analysts, accountants and FP&A capacity for close cycles, planning seasons and transformation programmes. Numbers handled with audit-grade care.
Category support, supplier operations and operational analytics. Cost and continuity managed as one problem, not two departments.
Post-sale success operations, CRM hygiene, pipeline analytics and revenue process design. The operational engine behind retention and growth.
Strategy analysts, risk & compliance analysts, legal operations and management consultants — senior thinking capacity, engaged precisely where needed.
If it runs an enterprise, we can staff it. Tell us the role and the timeline.