Three connected service pillars — from direction to transformation to intelligent automation.
Srushti brings strategy, architecture, engineering, modernization and applied AI together in one digital engineering model. Clients can engage at one pillar or combine all three around a transformation outcome.
Shape. Transform. Automate.
A simpler portfolio built around three buyer problems: deciding the right technology direction, modernizing and integrating the enterprise, and applying AI safely where it creates measurable value.
Technology Strategy & Enterprise Architecture
Define the target state, prioritize investment and create architecture that connects business direction with executable engineering.
- Technology strategy & roadmaps
- Enterprise & solution architecture
- Product & platform strategy
- Architecture assessment & governance
Enterprise Modernization & Integration
Modernize applications and platforms, integrate enterprise systems, improve cloud/reliability and engineer blockchain & digital-trust solutions where distributed trust is justified.
- Digital product & platform engineering
- Application modernization & integration
- Digital experience engineering
- Cloud, DevOps, reliability & managed engineering
Applied AI & Intelligent Automation
Prioritize AI use cases, build knowledge assistants and reusable AI agents, automate workflows, integrate models with enterprise data, and govern production AI.
- AI strategy & readiness
- GenAI, RAG & knowledge assistants
- Agentic workflows & document intelligence
- Data, analytics, evaluation & AI operations
One service model, three ways to enter.
Start with strategy
Use assessments, architecture and roadmaps to clarify the target state before committing to major engineering investment.
Start with transformation
Modernize a platform, build a product, improve the digital experience or integrate systems — then attach managed evolution.
Start with AI
Prioritize a business use case, validate it quickly, productionize with governance and connect it to enterprise workflows.
Start at the level of commitment the problem deserves.
Focused Sprint
A senior team to clarify an opportunity, assess architecture, prioritize AI use cases or resolve critical decisions.
Product / Transformation Team
A cross-functional team responsible from discovery and architecture through engineering, QA, integration and release.
Engineering Partnership
Longer-term product, platform and AI capability for modernization, managed evolution and recurring delivery.