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INDUSTRY · LIFE SCIENCES

Life Sciences & Consumer Goods

Global system integration, data pipelines, and operational platforms.

Life-sciences and consumer-goods companies run global operations across manufacturing, supply chain, regulatory submissions, and commercial operations. We deliver the integration and data foundations that keep them connected.

WHERE WE COME IN

The patterns we keep seeing in this sector.

Each challenge below maps to a programme we have shipped — discovery through hypercare, senior-led, with the audit posture this sector demands.

C.1

Global ERP integration

Connecting regional ERPs, manufacturing systems, supply-chain platforms, and commercial CRM through governed enterprise integration.

C.2

Regulatory data pipelines

Pharmacovigilance, clinical-trial data, and regulatory submissions — moved between systems with full traceability and audit.

C.3

Cross-region data harmonisation

Master data management, reference data, and lineage across regions — enabling consistent BI and AI use cases globally.

C.4

AI for document intelligence

Clinical document processing, regulatory enquiry response, and supplier document handling — production-grade with guardrails.

HOW WE ENGAGE

Service layers we deploy into this sector.

The service layers below are the ones we lean on most for this industry. Same senior practitioners across all of them — no handoffs.

PLATFORMS WE DEPLOY

The technology stack tuned to this sector.

Selected from across our bench. Specific stack always tailored to the engagement, the regulator, and the in-place estate.

Fig IN.APlatform Selection
IBM webMethodsApache KafkaInformaticaSnowflakeDatabricksAzure Data Services

PROGRAMME PATTERNS

Engagement shapes we ship most often here.

P.1Global ERP integration backbones
P.2Pharmacovigilance data pipelines
P.3Master data management programmes
P.4Regulatory submission platforms
P.5Commercial operations integration

DELIVERY MODEL

Same 5-phase framework, tuned for this sector.

Fig IN.BDelivery Methodology · 5 Phases
1
[phase.1]

Discover

Stakeholder workshops · Requirements elucidation · As-is architecture mapping · Risk identification · Commercial scoping.
2
[phase.2]

Design

Solution architecture · Technical design documents · UX/UI wireframes · Integration design · Security and data architecture.
3
[phase.3]

Build

Agile sprint delivery · Daily standups · Code reviews and quality gates · Integration testing · CI/CD pipeline operation.
4
[phase.4]

Validate

UAT support · Performance and load testing · Security testing · Acceptance criteria verification · Stakeholder sign-off.
5
[phase.5]

Operate

Go-live support · Hypercare period · Knowledge transfer · Managed services handover · Continuous enhancement.

Methodology applies across every Intellectual engagement, regardless of service line.

Kafka + IBM webMethods integration backbone delivered for a North American global life-sciences enterprise.