“Value Realization” in Cloud Investments

Using an Enterprise Architecture Framework, we translate business requirements and architectural principles into customer-centric solutions leveraging cloud technologies; turning Data into Value – transforming a company into an intelligent enterprise; guide and deliver our clients’ innovation across the Customer 360 landscape. CRM + Data + AI + Trust

OUR APPROACH

DESIGN THINKING | INDUSTRY FRAMEWORKS | ENTERPRISE ARCHITECTURE

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BUSINESS ARCHITECTURE

CORPORATE STRATEGY | VALUE STREAMS | CAPABILITIES

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INDUSTRY CLOUDS

FINANCIAL SERVICES | HEALTHCARE | MANUFACTURING

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VALUE REALIZATION

OUR SERVICES

Our Services are focused on deploying Salesforce and supporting the Intelligent Enterprise; defining systems strategy, developing systems requirements, designing and prototyping, testing, training, defining support procedures, and implementing practical business solutions for healthcare, financial services, digital media, transportation, manufacturing and not-for-profit organizations leveraging Salesforce technologies in customer driven architectures.

Our approach brings together Design Thinking, an Enterprise Architecture Framework, Industry Frameworks and Cloud Native Strategies to deliver solution blueprints and guide our Clients in realizing the full value of their investments in Salesforce.

We establish Business Architecture as a required input into Solution Architecture; frame the Solution Architecture by Value Streams, Capabilities and Stakeholders; Identify required Enabling Capabilities; map to Salesforce Capabilities to deliver Solution Blueprints to increase your ROI.

SALESFORCE CUSTOMER 360

Built on a single, scalable customer relationship management (CRM) platform, Customer 360 has an app for every phase of your customer’s journey, from lead to loyalty.

We can help you find the right mix of solutions for any team in any industry

Tell us more about your business so we can help you craft your strategy

WHAT IS GENERATIVE AI

Gen AI , is a subset of Deep Learning to generate new data samples that resemble a given set of training data - models produce new data that share similar characteristics of the training data.
At the core, generative AI has four capabilities:
1. Creation
2. Summarization
3. Discovery
4. Automation

Gen AI in general tends to excel in four applications:
1. Chat
2. Search
3. Generate Content
4. Associative Reasoning

Engage with us to understand an AI Framework, Launch Plan for Use Cases and a Value Realization Methodology to implement Gen AI initiatives.