Over 10 years we help companies reach their financial and branding goals. Engitech is a values-driven technology agency dedicated.
411 University St, Seattle, USA
engitech@oceanthemes.net
+1 -800-456-478-23
Design and implement AI solutions that integrate with your data, applications, and business processes—while addressing your organization’s security, governance, and operational requirements.
From internal knowledge management to cross-system process automation, we help organizations assess and build AI solutions based on their needs, data readiness, and existing technology environments.
Deploy open-weight language models on internal (on-premises) servers or a local Virtual Private Cloud (VPC), including inference configuration and fine-tuning tailored to your requirements. This approach helps organizations retain control over their data-processing environments in accordance with their chosen architecture and policies.
Build an internal knowledge assistant powered by Retrieval-Augmented Generation (RAG), enabling teams to find information across documents, standard operating procedures (SOPs), and authorized knowledge sources. Connectors and the Model Context Protocol (MCP) can help integrate data from ERP, CRM, and HRIS platforms, as well as internal databases.
Design AI agents to execute structured workflows across applications, with defined rules, validation steps, and human approval checkpoints. Use cases include matching invoices with purchase orders in an ERP system, routing support tickets and recording logistics refunds, and performing multi-entity financial or tax reconciliations.
Automate the extraction, classification, and validation of physical and digital documents using a combination of computer vision and LLMs. Solutions can be configured to process identity cards, legal certificates, tax invoices, bank statements, credit applications, and insurance claims, with verification workflows tailored to your requirements.
Evolve basic FAQ chatbots into LLM-powered conversational assistants integrated with the WhatsApp Business Platform, mobile applications, and transaction systems. With appropriate access controls and authorization, these solutions can support tasks such as order inquiries, transaction history checks, purchases, and product recommendations.
Deploy AI voice agents to support payment reminders, collections, and telemarketing calls, using relevant language capabilities and conversational patterns. Solutions can also include transcription, conversation analytics, and automated quality management to help evaluate the performance of human agents’ calls.
Use behavioral and transaction analytics to create more relevant customer segments, develop product recommendations, and support personalized campaigns. Segmentation and activation strategies are tailored to data quality, business objectives, customer preferences, and applicable privacy requirements.
Create interactive digital avatars powered by conversational AI to deliver more engaging service and communication experiences. Digital humans can be designed for branch kiosks, virtual receptionists, digital brand ambassadors on websites, and internal training instructors.
Support your organization in developing an AI roadmap, establishing an AI Center of Excellence (CoE), designing AI guardrails, and preparing risk assessment and compliance processes. The program can include mapping relevant regulations and standards—including Indonesia’s Personal Data Protection Law (UU PDP), OJK regulations, applicable AI policies, and ISO 27001—as well as training to help employees adapt to working alongside AI.
Leverage visual analytics and edge processing to support real-time operational monitoring. Use cases may include detecting the use of personal protective equipment (PPE), identifying safety-zone violations, inspecting product quality, license plate recognition (LPR), and auditing activities in kitchens or production facilities—depending on camera capabilities and the deployment environment.
Successful AI implementation depends not only on the model itself, but also on data readiness, system integration, workflows, and governance.
Assess on-premises, VPC, cloud, and edge requirements, along with integration needs and infrastructure capacity, based on your organization’s context.
Connect AI to relevant data sources and applications so that solutions support business processes rather than operate in isolation.
Establish access permissions, validation procedures, human approval checkpoints, monitoring, and outcome evaluations based on your risks and requirements.
Every organization has different systems, data, and levels of AI readiness. We start with your business needs to design an implementation approach that is practical, measurable, and aligned with your objectives.
Identify use cases, data readiness, relevant systems, potential risks, and success metrics.
Define the architecture and validate the solution through an agreed proof-of-concept scope.
Deploy the solution, integrate relevant systems, and establish operational controls.
Evaluate outcomes, document processes, and support solution adoption across the relevant teams.
Discuss your needs, operational challenges, and AI opportunities with the PT Trans Hamana Teknologi team.
Note: The scope, integrations, performance, and security controls of each solution depend on your requirements, data, infrastructure, third-party systems, and the results of the implementation assessment and testing.
