OUR SERVICES

Salesforce

Customer platform, designed integration-first

We architect and implement Salesforce across multiple clouds, with deep experience in Financial Services Cloud and Health Cloud and 26 Salesforce certifications, including four for MuleSoft. Every design starts from how Salesforce will exchange data with the rest of your enterprise, from greenfield rollouts to complex multi-org environments.

• Financial Services Cloud and Health Cloud
• Sales Cloud, Service Cloud and Experience Cloud
• Integration architecture: Platform Events, Change Data Capture, REST and Bulk APIs
• Agentforce: AI agents, actions and guardrails
• Data Cloud: unified customer profiles and activation
• Apex, Lightning Web Components and Flow automation
• Org strategy, security model and technical debt reduction

MuleSoft

Connecting Salesforce to every system

Most of the Salesforce integrations we have delivered run on MuleSoft, and we hold four MuleSoft certifications. We connect core, legacy and cloud systems through reusable, well-governed APIs that scale with your business.

• Salesforce integration with core banking, EHR, ERP (NetSuite), ECM (Box) and legacy systems
• API-led connectivity: system, process and experience APIs
• Event-driven and asynchronous integration with Anypoint MQ
• Anypoint Platform architecture, API Manager and Exchange
• DataWeave transformations, including FHIR, HL7 and EDI
• CloudHub 1.0, CloudHub 2.0 and Runtime Fabric deployments
• Center for Enablement (C4E) setup and integration governance

Google Cloud Platform

Data, AI and agentic platforms

Our architects hold Google Cloud Professional certifications as Cloud Architect, Data Engineer, Cloud DevOps Engineer, Machine Learning Engineer and Agentic Architect. We build data platforms and agentic AI on GCP, where agents reason over your data and act through your existing APIs on MuleSoft or Google Cloud, wrapped as MCP (Model Context Protocol) tools. Where it is the better fit, GCP can also integrate Salesforce with your other systems directly.

• Agentic architecture with Vertex AI, Agent Builder and Gemini
• MuleSoft and Google Cloud APIs wrapped as MCP servers for agent tool use
• Agent-driven workflows with guardrails and human oversight
• BigQuery data foundation for analytics and AI
• Real-time and batch pipelines with Dataflow and Pub/Sub
• Change data capture, data quality, lineage and monitoring
• Salesforce integration with Application Integration and Integration Connectors
• Infrastructure as code, CI/CD and SRE practices

Enterprise Architecture

One governed landscape, not a collection of systems

We design how SaaS applications, integration platforms, cloud providers and back-office systems fit together, so each new system strengthens your landscape instead of adding another silo. Governance is part of the architecture, not an afterthought: clear standards for how systems are built and connected, and clear ownership of the data that flows between them. Google Cloud first, and equally able to build on AWS.

• Enterprise and integration architecture roadmaps
• Architecture governance: standards, reference architectures and design reviews
• Data governance: data ownership, systems of record and master data
• Data quality, lineage, classification and access policies
• SaaS: Salesforce and the applications around it
• iPaaS: MuleSoft Anypoint and Google Cloud Application Integration
• Multi-cloud: Google Cloud first, AWS where it is the better fit
• ERP integration, including NetSuite
• ECM integration, including Box
• Legacy and core system modernization
• Security, compliance and governance for regulated industries