Enterprise Integrations

Delivering fabric of a single intelligent enterprise.

Enterprise Integration: the bridge to AI-native enterprise.

Every enterprise now runs on a fabric of niche SaaS solutions, ERPs, databases, and cloud platforms. Each one serves a purpose. None of them talk to each other by default. Sundew engineers the integration layer that turns those fragmented systems into one connected, data-driven, AI-ready enterprise.

Why are enterprises looking for integrations and automations?

The modern enterprise technology landscape has matured into a portfolio of best-of-breed niche solutions. That maturity created a new problem: every system serves a different purpose, and every system runs in its own silo.

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Best-of-breed SaaS has
fragmented the enterprise into silos.

Fragmented SaaS and ERP apps create costly data silos between CRM, finance, and marketing systems. A modern enterprise integration layer unifies these point solutions into a single, cohesive, and scalable digital ecosystem.

AI cannot reason across
data and context it cannot reach.

Enterprise AI ROI hinges on data access, not models. Disconnected systems stall AI agents and copilots. A robust enterprise integration layer breaks data silos, serving as the essential precondition for AI investments.

Manual data movement
is slow, brittle, and error-prone.

Unintegrated systems force manual data movement, causing expensive errors and delays. Enterprise data integration replaces slow batch jobs, enabling real-time automation to drive faster, more accurate business decisions.

Decisions run on stale, fragmented data.

Data silos force leadership to make decisions on stale, partial views. Modern enterprise integration unifies fragmented systems, creating a real-time, single source of truth for reliable executive analytics.

Point-to-point integration
become unmaintainable debt.

Fragile point-to-point integrations create expensive technical debt. An API-first, MCP-ready enterprise integration layer replaces custom scripts, transforming complex software connections into a scalable, compounding asset.

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How Sundew architects integration.

Transition to an API-First & Event-Driven Backbone. Replace direct system-to-system bindings with a decoupled, event-driven microservices infrastructure.

01
Architecture First.

Every integration engagement begins with enterprise architecture. Sundew maps systems, data flows, and future AI use cases to design the fabric before building any single connection, so your estate compounds, rather than tangling.
02
API-First and MCP-Ready.

Every system is exposed through clean, versioned, documented APIs with an MCP-ready integration layer, letting AI agents and future platforms connect to the fabric without bespoke work.
03
Unified Data &
Lakehouse Foundation.

Integrations route data into a governed lake engineered for analytics and AI. Every connection acts as an active data producer, continuously feeding the enterprise intelligence layer.
04
Multi-Cloud
and Platform-Fluent.

Integrations route data into a governed lake engineered for analytics and AI. Every connection acts as an active data producer, continuously feeding the enterprise intelligence layer.
05
Built to Compound.

Every integration is engineered so the next one costs less. The fabric turns integration from a recurring expense into a compounding asset, letting new systems and AI use cases connect faster over time.
06
Predictive Intelligence
into Live Workflows.

Embed real-time predictive AI directly into live workflows. Move from static dashboards to closed-loop automation, turning data into instant operational decisions that optimize execution as events happen.

Middleware Engineering

Sundew engineers API-first middleware connecting your SaaS, ERPs, and custom apps into one coherent enterprise. By publishing every capability as an API, systems stay loosely coupled so vendor changes never break your estate.

API Design and Development

Enterprise REST, GraphQL, and event-driven APIs with OpenAPI docs, versioning, auth, and monitoring from day one.

Enterprise Middleware and iPaaS

iPaaS and middleware on MuleSoft, Azure, AWS, and custom layers, engineered for scale and maintainability.

SaaS and ERP Integration

Connect Salesforce, SAP, Oracle, and your full SaaS/ERP landscape into unified data and process flows.

Legacy System Connectivity

API-fy legacy systems and databases with secure OpenAPI endpoints, making locked data consumable by modern apps and AI.

Data Pipelines and Data Lakes

Sundew builds data pipelines and lakes to refine raw data into a governed, AI-ready foundation. Medallion architecture and real-time streams turn integration into intelligence, making your connected enterprise an intelligent one.

Data Pipeline Engineering

Real-time and batch pipelines on Azure, AWS, and Databricks with CDC, error handling, and built-in observability.

Data Lake and Lakehouse Architecture

Modern lakes on Databricks, Snowflake, and Fabric with medallion architecture refining raw data into business datasets.

AI-Ready Data Foundations

Pipelines built for AI: vector storage, feature stores, and lineage tracking so models run on trustworthy data.

Data Governance and Quality

Built-in data quality, MDM, cataloging, and lineage ensure every report and AI model carries provable provenance.

MCP and AI-Native Integration

Sundew builds Model Context Protocol (MCP) servers and AI-native integration layers, turning integration into a reusable fabric where AI agents seamlessly discover, access, and act across your enterprise systems.

MCP Server Development

Custom MCP servers exposing enterprise systems, databases, and APIs to AI agents via a secure, governed interface.

AI Agent Integration

Connect AI assistants and agentic workflows to core enterprise systems, moving AI from isolated pilots to scale.

Standardized AI Connectivity

MCP as an enterprise standard lets new AI use cases connect without bespoke projects, compounding investment value.

Governed AI Data Access

Built-in identity, access control, and audit trails ensure AI agents access enterprise data under strict governance.

Dashboards and BI

Sundew engineers BI layers and dashboards that turn governed enterprise data into real-time visibility. Built on a single source of truth, leadership and operations always act on the exact same trusted metrics.

Executive and Operational Dashboards

Real-time Power BI, Tableau, and Looker dashboards engineered for action, from board KPIs to operational monitoring.

Self-Service Analytics

Governed self-service analytics and semantic models letting teams answer questions directly on a trusted data layer.

Real-Time and Embedded Analytics

Streaming analytics and embedded dashboards inside your existing apps, putting insights right where the work happens.

AI-Augmented Insights

Natural-language query, anomaly detection, and AI insights that explain what changed and why, not just what happened.

Automation and Orchestration

Sundew orchestrates integrated systems into automated end-to-end workflows, involving humans only where judgment is required. Reduce manual handoffs and speed cycle times with processes that run themselves.

Enterprise Digital Workflows

End-to-end process automation across systems like order-to-cash, engineered to run with minimal manual intervention.

Event-Driven Orchestration

Event-driven architecture that triggers instant system actions, replacing batch jobs and handoffs with real-time flow.

Intelligent Automation

AI automation for workflows spanning systems without clean APIs, bridging the gap while integration matures.

Human-in-the-Loop Design

Automation keeping humans in control of key decisions, with every automated action logged, auditable, and reversible.

Outcomes That Matter.

Enterprise AI. Global consumer goods brand.

Engineering, scaling enterprise AI to 8,000 employees, of a global consumer brand.

Sundew joined a multi-vendor delivery team and contributed to the design and engineering of an enterprise AI platform built on the Open WebUI framework, hosted on Microsoft Azure, and powered by OpenAI's large language models.

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Data and AI. Global contract food services leader.

Reporting platform for a SAP S/4HANA transformation for operational teams and enterprise stakeholders.

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Reporting platform for a SAP S/4HANA transformation for operational teams and enterprise stakeholders.

Enterprise Modernization. Healthcare. Diagnostics.

Modernized order-to-cash system for one of India’s largest listed diagnostic chain.

Sundew architected a cloud-native, purpose-built healthcare operations platform on Microsoft Azure, designed from the ground up around the customer’s Order-to-Cash life cycle.

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Modernized order-to-cash system for one of India’s largest listed diagnostic chain.

Digital Transformation. Travel retail and luxury.

Scaling duty free sales by modernizing online shopping and pre-ordering for a global duty free operator.

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Digital Transformation. Education.

Driving digital modernization for one of the most reputed IITs in India, a 65 year old legacy.

Sundew led the architecture and delivery of the full migration, working within the one-month window while ensuring zero regression in governance or network integrity.

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Driving digital modernization for one of the most reputed IITs in India, a 65 year old legacy.

Strategy survives contact with delivery when the Team
that ships is the team that thinks. Let’s talk.

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Turn integration debt
into a compounding asset.

Sundew architects and builds your complete integration fabric, from systems connecting middleware to AI-ready data lakes and executive dashboards.

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Who Sundew Builds for.

Enterprises and mid-market firms where fragmented systems slow decisions, constrain growth, and block AI initiatives. Where your systems run in silos today, Sundew builds the fabric that makes them a single intelligent enterprise tomorrow.

Large enterprises
with complex estates
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Organizations running multiple SaaS solutions and ERPs that need a coherent integration fabric to turn a fragmented estate into a connected enterprise.
Mid-market
companies scaling fast
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Scaling companies who are outgrowing point-to-point setups, needing unified architecture before tech debt halts momentum.
Post-merger
integration with AI
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Enterprises integrating the systems, data, and processes of acquired businesses into one connected operating environment for seamless management.

Driving critical
enterprise workloads
to AWS.

Meet our AWS architects
Deploying
Agent AI solutions
for enterprises.

Agentic AI solutions by Sundew
Moving complex
legacy systems
to Azure.

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Frequently Asked Questions

What is enterprise integration, and why does it matter more in the AI era?

Enterprise integration bridges fragmented ERPs, SaaS, and databases into a unified operational fabric. In the AI era, AI is only as intelligent as the data it can reach. Without unified integration, AI initiatives stall at the data layer. Modern integration is no longer back-office plumbing; it is the strategic prerequisite for enterprise AI ROI, real-time decision-making, and automated workflows.
How does Sundew connect siloed SaaS, ERP, and database systems?

Sundew takes an architecture-first approach, designing the enterprise fabric before building single connections. Using clean, versioned APIs and event-driven middleware, we loosely couple core systems (SAP, Salesforce, Oracle, ServiceNow, legacy DBs). This prevents vendor API updates from causing downstream breakages and ensures each new integration lowers the cost of the next.
What is MCP and how does it enable AI-native integration?

MCP is the open standard that allows AI agents to discover, access, and act across enterprise systems through a secure, unified interface. Instead of hardcoding custom integrations for every AI agent, Sundew engineers custom MCP servers. This converts your integration layer into a reusable, AI-ready platform that scales across present and future agentic workflows.
How do data lakes and pipelines drive AI adoption and ROI?
Automated pipelines feed real-time and batch data into governed lakehouses (Databricks, Snowflake, Microsoft Fabric), using a medallion architecture to refine raw data into AI-ready assets. This drives ROI through three mechanisms:
- Data Quality: AI models run on trustworthy, contextualized data rather than stale exports.
- Compounding Efficiency: A single data foundation powers multiple AI use cases, lowering marginal rollout costs.
- Embedded Governance: Security, access control, and lineage are enforced directly within the pipeline.
What data platforms and cloud hyperscalers does Sundew integrate across?
Sundew is cloud and vendor agnostic. Every stack choice is dictated by your architecture requirements and not vendor lock-in. We architect solutions across:
- Hyperscalers: AWS, Microsoft Azure, Google Cloud Platform (GCP)
- Data Platforms: Databricks, Snowflake, Microsoft Fabric, Azure Synapse
- Middleware & iPaaS: MuleSoft, Azure Integration Services, AWS AppFlow, Boomi, Apache Kafka
- Analytics & AI: Power BI, Tableau, Looker, Model Context Protocol (MCP), Azure OpenAI

Disconnected enterprise systems are the single largest bottleneck to operational speed.

Turn your fragmented tech stack into a unified, high-performance digital engine. Sundew combines senior platform architects and automation specialists to build secure, scalable integration layers that eliminate operational drag and drive enterprise agility.

One team, 19 years of practice: engineering robust integration layers across complex systems to eliminate operational friction and keep enterprise data moving without limits.

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