Our custom AI solutions for businesses cut costs, speed up workflows, and deliver measurable ROI through intelligent automation.
Our team designs custom LLM agents using OpenAI, LangChain, embeddings, and function calling to automate complex decision flows. These multi-step agents handle high-volume tasks with accuracy and consistency, freeing teams from manual bottlenecks.
We build AI-driven automation architectures with n8n, Python, automation decks, and RAG logic that remove friction from daily business operations. Connected workflows trigger task automation across systems, allowing teams to work faster and focus on higher-value outcomes.
Our engineers create OCR and Document AI pipelines using Azure Document Intelligence, Python, and Vector DBs to turn unstructured documents into clean, actionable data. Automated extraction and classification streamline document-heavy processes and reduce operational costs.
We develop conversational AI and voice bots powered by OpenAI, embeddings and autonomous agents to deliver instant, reliable support. Integrated task automation and multi-step actions enable smoother customer interactions and significantly lower service workloads.
Advanced AI task automation accelerates documentation and administrative workflows, improving throughput and minimizing manual intervention.
Secure AI pipelines protect sensitive information through controlled access, structured data handling, and end-to-end compliance safeguards.
A structured, insight-driven approach to building customized AI automation systems that fit your business like a glove.
We start by shaping how the AI understands your business. Structured prompts built with OpenAI, LangChain, and embeddings define rules and context, creating a stable base before introducing autonomous agents, LLM agents, or deeper automation logic.
In this stage, the AI connects to internal data through a tailored RAG pipeline. Python retrieval logic, Vector DBs, and Azure Document Intelligence strengthen document AI and OCR pipelines, ensuring accurate context for downstream workflow automation.
Function calling enables the AI to trigger internal tools, APIs and automation decks. Multi-step agents orchestrate task automation through LangChain, n8n and Python, running calculations, updating records and powering voice bots with reliable execution.
We connect the AI to business systems through secure API bridges. Python middleware syncs real-time data across CRMs, ERPs and internal apps, giving workflow automation and multi-step agents the connectivity needed for consistent, end-to-end operations.
AI takes over multi-step processes using n8n flows, automation decks and autonomous agents. It routes data, coordinates tools and supports conversational AI and document AI, enabling task automation to execute seamlessly across business workflows.
Our deployment process packages the AI, RAG pipeline components, and containerized services into a secure environment. Versioning, monitoring, and access controls keep automation stable at scale, ensuring every workflow runs reliably in production.
Custom AI solutions for businesses designed to modernize operations, improve accuracy, and scale with confidence.
AI built with OpenAI, LangChain and automation decks automates property data extraction, lead qualification and document processing. Function calling, Vector DBs and multi-step agents streamline listings, verification and transaction workflows.
Custom AI built with OpenAI, LangChain, and embeddings automates grading, content generation, and student support. RAG pipeline logic, autonomous agents, and automation decks simplify workflows, assessments, and academic operations end-to-end.
AI systems using Python, Vector DBs, and function calling automate onboarding, KYC checks, risk scoring, and reconciliation. Multi-step agents, secure RAG pipelines, and n8n flows reduce manual review, enhance accuracy, and accelerate financial operations.
AI powered by Azure Document Intelligence, Python and embeddings automates clinical documentation, claim routing and patient data processing. RAG-driven retrieval and autonomous agents improve chart updates, reporting and care-coordination workflows.
AI solutions using Python, Vector DBs and autonomous agents automate dispatch planning, routing decisions and shipment tracking. RAG pipelines, n8n flows and structured function calling synchronize orders, documents and fleet operations in real time.
Our services unify conversational AI, voice bots, and RPA into enterprise-grade automation ecosystems built for scale and reliability.
UI validation for design accuracy, responsiveness, and cross-browser/device compatibility, ensuring consistent user experiences.
Verification of APIs, databases, and server-side logic for reliability, scalability, and error-free data processing under varied load conditions.
Model validation and bias detection for AI-driven features, ensuring accuracy, fairness, and consistent outputs across datasets.
Testing of content management workflows, version control, and publishing features to ensure smooth editorial operations without downtime.
Validation of data integrity, indexing performance, backup recovery, and security protocols under simulated stress conditions.
Heuristic and usability testing to identify friction points, navigation issues, and accessibility compliance gaps (WCAG, ADA).
Functional, regression, security, and performance testing through automated and manual approaches, tailored to your release cycles.
Our reputation is built on creating great outcomes for clients.
Our custom AI business automation solutions create a measurable impact in the real world:
We engineered this solution to automate credential management through AI-driven document processing.
It uses OpenAI for extraction and automated form population, supported by a Laravel–MySQL backend, MFA security, and encrypted APIs.
The platform eliminates manual review, improves data accuracy, and scales reliably for high-volume workflows.
Impact:
We wanted to create a faster way to process invoices using AI-powered data extraction. The system applies OCR, LLMs, and Azure OpenAI to parse PDFs, map fields, and send structured data into ERP workflows.
This eliminates manual data entry by triggering automated extraction pipelines and accelerates approval flows through structured system handoffs. We ensured scalable business automation with higher model accuracy.
Impact:
Our reputation is built on creating great outcomes for clients.
Working with DEVtrust was a game changer for us. Their expertise in developing a modern rate management system not only streamlined our operations but also enhanced our competitive edge in the freight industry.
Founder & CEO – Draydex, LLC
DEVtrust’s Ezeryeshiva app has transformed our appointment management process. The tailored user roles & efficient scheduling system have significantly reduced our workload & improved our service efficiency.
Project Lead – Ezeryeshiva
DEVtrust has totally transformed our Real Estate Management Process. Their solutions are intuitive & have significantly reduced our manual workload, allowing us to focus more on our clients.
Founder | Lic. R. E. Associate Broker
No two companies automate the same way, which is why custom AI matters. Our systems use RAG pipelines, event-driven agents, secure API layers and Vector DB retrieval to fit your exact workflows. We deliver business automation that is faster, smarter and ready to scale from day one.
AI can automate document processing, task routing, decision logic, data extraction, customer interactions, multi-step workflows, forecasting, reporting and any repetitive process that follows structured rules.
Yes. AI solutions connect to CRMs, ERPs, internal software, and data stores using secure APIs, event-driven triggers, function calling, RAG retrieval layers, and Vector DB indexing for accurate, real-time automation.
Accuracy comes from RAG pipelines, embeddings, domain tuning, and structured prompt design. The system retrieves only relevant internal data, minimizing hallucinations and improving precision in every automated workflow.
Solutions include MFA, encryption, access controls, isolated API layers, audit logs, and zero-trust architecture. Sensitive data stays protected throughout processing, and all automation steps remain fully traceable.
