Technology partnership for complex organisations.
Architecture, engineering and transformation for enterprises modernising platforms, adopting AI and launching digital and financial products.
- Understand requestIntent: refund · order #4821
- Retrieve policyRefund policy v3 · 2 sources cited
- Call toolsorders.lookup · payments.status
- 4Human approvalRefund above auto-approve limit
- 5Execute actionpayments.refund
- 6Respond & logCustomer reply · audit trail
Tool call
orders.lookup({
order_id: "4821"
}) → { status: "delivered",
amount: 42.00 }Approval required
Refund 42.00 to original payment method
Enterprises carry more constraints than any other client: legacy estates, governance boards, security reviews, procurement processes and organisational complexity. Technology change succeeds when a partner respects those constraints while still delivering working software in short cycles.
Shivacha works with enterprises across all five divisions — modernising core platforms, building AI capabilities on shared foundations, launching digital and fintech products, exploring tokenization and moving to secure, observable cloud infrastructure — with architecture documentation and controls that satisfy review boards.
Challenges
What stands in the way
Legacy constraints
Core systems that cannot be switched off but slow every change.
Governance overhead
Security, architecture and procurement reviews that stall delivery.
Fragmented initiatives
AI, cloud and digital programmes running in silos.
Capability gaps
Internal teams stretched across run and change work.
Approach
How Shivacha helps
- 1
Architecture first
Target architectures and decision records aligned with enterprise standards.
- 2
Incremental delivery
Working increments every sprint, even inside large programmes.
- 3
Shared foundations
Reusable platforms for AI, APIs and cloud rather than one-off builds.
- 4
Blended teams
Shivacha engineers working alongside internal teams with knowledge transfer.
Deliverables
- Target architecture and roadmap
- Modernised platforms and APIs
- Enterprise AI platform and use cases
- Secure cloud landing zones
- Documentation for governance boards
- Dedicated engineering capacity
Services
Services in this solution
Enterprise Software Development
Enterprise-grade platforms with complex permissions, integrations, audit and scale — built for large organisations.
Learn moreEnterprise AI Solutions
Enterprise AI programmes: shared AI platforms, governance, security and a portfolio of production use cases across the organisation.
Learn moreLegacy System Modernization
Replace or transform legacy and mainframe-era systems incrementally using strangler patterns, data migration and parallel running.
Learn moreCloud Migration
Migrate applications and data to the cloud safely — assessment, landing zones, migration waves, cut-over and optimisation.
Learn morePlatform Engineering
Internal developer platforms — golden paths, self-service environments, templates and guardrails for product teams.
Learn moreMicroservices Development
Microservices architecture done deliberately: domain boundaries, service communication, data ownership and operability.
Learn moreProducts
Platforms that accelerate delivery
Shivacha Portal
Secure self-service portals for customers, partners, suppliers and employees.
Learn moreShivacha Agent Platform
Build, govern and operate AI agents that do real work across your systems.
Learn moreShivacha Landing Zone
A secure, well-architected cloud foundation — deployed as code.
Learn moreShivacha ERP
Modular ERP for finance, inventory, procurement and operations.
Learn moreLearn more
Related work and thinking
Incremental replacement of a legacy monolith
Our strangler-pattern approach for replacing a critical legacy system domain by domain without downtime.
Learn morePermission-aware enterprise knowledge assistant
How we design a RAG assistant that answers from thousands of internal documents while respecting every user's access rights.
Learn moreModular monolith first: when microservices are actually worth it
Microservices solve organisational scaling problems and introduce distributed-systems problems. Most products should earn them.
Learn moreWhy most AI pilots never reach production — and the engineering that fixes it
The model is rarely the problem. Retrieval quality, evaluation, integration and governance decide whether an AI pilot becomes a production system.
Learn moreBuild vs buy: deciding when custom software is worth it
Buy what is commodity, build what differentiates — and be honest about which is which. A practical framework for build-versus-buy decisions.
Learn moreEnterprise AI Architecture Guide
A practical blueprint for the shared AI platform — model gateway, retrieval, evaluation, governance — that lets enterprises deliver AI use cases repeatedly.
Learn moreFAQ
Frequently asked questions
Can you work within our procurement and security processes?
Yes. We provide the documentation, security questionnaires and architecture artefacts enterprise processes require.
Do you replace our internal teams?
No. We extend and strengthen them, with explicit knowledge transfer so capability stays in-house.
Talk to an Enterprise Architect.
Tell us what you're launching. A solution architect will reply with an approach, an implementation timeline and next steps.