Frequently Asked Questions

AI automation combines artificial intelligence with business rules, APIs, software systems, and workflow automation to perform or assist with repeatable business processes.

Yes. We can assess existing workflows and identify repetitive, rules-based, or high-volume activities that may benefit from automation.

Yes. We design AI agents for clearly defined business tasks such as knowledge retrieval, document processing, customer interaction, lead qualification, and workflow execution.

Yes. AI can be integrated into web applications, mobile applications, internal systems, databases, APIs, websites, and existing business workflows.

Retrieval-Augmented Generation, or RAG, allows an AI system to retrieve relevant information from approved knowledge sources before generating responses. We build RAG solutions where this architecture is appropriate.

Potentially, yes. The architecture depends on the type of data, access controls, security requirements, deployment model, and intended use case.

We select AI technologies based on project requirements. Depending on the use case, this may include commercial AI APIs, open-source models, AI platforms, or custom architectures.

Yes, where appropriate. Model choice depends on capability, cost, security, latency, integrations, and data requirements.

Yes. Many solutions use a human-in-the-loop approach where AI assists with tasks while a person retains final review or approval.

Yes. Document AI can support extraction, classification, validation, routing, and workflow automation for structured and unstructured documents.

Yes. We can build AI-powered conversational systems for customer interaction, internal knowledge, workflow support, and other defined use cases.

Yes, where appropriate. Voice AI may be used for conversational workflows, support, information retrieval, or other business processes.

Yes. AI and automation can be connected with CRMs, ERPs, databases, APIs, and other business systems depending on the available integrations.

Cost depends on the use case, data requirements, integrations, model choice, workflow complexity, infrastructure, security, and application scope.

Yes. A focused proof of concept can help validate feasibility, model capability, workflow design, and potential business value before a larger implementation.

Dream Eye Digital provides AI development, intelligent automation, custom software development, web and mobile development, cloud and DevOps, digital transformation, dedicated development teams, and digital growth services. Our supporting capabilities also include SEO, paid advertising, social media marketing, content, UI/UX, and branding.

Dream Eye Digital is an AI-first technology and digital transformation company helping businesses build, modernize, automate, and scale through AI, software engineering, cloud technologies, dedicated teams, and integrated digital growth.

We work with startups, SMEs, and enterprises that need technology development, modernization, automation, engineering capacity, or digital growth support.

Our solutions can support finance, healthcare, legal and professional services, real estate, manufacturing, retail and e-commerce, travel and hospitality, logistics, education, apparel and buying houses, nonprofits, and media.

Dream Eye Digital is headquartered in Dhaka, Bangladesh, and works with clients across international markets.

Yes. We work with businesses across international markets including the United States, Australia, the United Kingdom, and other regions.

Our core focus is AI, software engineering, automation, cloud, and digital transformation. Digital marketing and creative services are supporting capabilities that can be integrated with technology where appropriate.

Yes. Depending on the engagement, we can combine software, AI, automation, websites, analytics, CRM, SEO, advertising, and digital strategy into one connected solution.