We develop AI agents that handle repetitive operations, generate insights, validate rules, and take action through secure integrations—giving teams faster throughput, fewer errors, and measurable performance gains.
You get AI agents that cut manual work by up to 40%, deliver accurate, rule-aligned decisions, and generate actionable insights across your operations.
We architect deterministic flows, fallback logic, rule-based constraints, evaluation pipelines, and continuous monitoring so the agent performs consistently across edge cases and high-volume tasks.
AI agents are only helpful if they can act inside your existing ecosystem. We integrate agents with CRMs, ERPs, ticketing suites, proprietary tools, event-driven architectures, and secure internal APIs, enabling agents to read, write, trigger actions, and complete workflows end to end.
Instead of prototypes, your teams get agents that own full processes: parsing documents, matching records, updating systems, generating outputs, and escalating only edge cases—removing high-friction manual tasks entirely.
Model selection and infrastructure strategy are aligned with your real budgets and usage patterns. We design cost-optimized inference setups, caching layers, hybrid model stacks, and usage governance to ensure the agent performs at scale without unpredictable billing or infrastructure strain.
in manual operational load after deploying workflow automation agents.
by using customer-facing agents to handle structured resolutions.
using productivity and coordination agents.
A potent AI agent only works when the foundation is disciplined. Devtrust’s process is built to control risk and make the final system dependable in real operational environments.
We map workflows task-by-task, define autonomy limits, define escalation paths, and document data sources across CRMs, ERPs, APIs, and logs to quantify inputs, outputs, and edge-case behavior.
Our team develops and trains AI models tailored to your business needs, delivering accurate, context-aware results.We design orchestration logic, vector store connections, API endpoints, routing rules, latency budgets, and guardrail layers using LangGraph, Postgres, Redis, and event triggers to ensure deterministic decision paths instead of emergent behavior.
Data is cleaned, chunked, embedded, and indexed using Python pipelines. We define retrieval logic, RAG tuning, and confidence thresholds while training NLP and classification models in TensorFlow or PyTorch for domain-specific reasoning.
The agent is built and connected to the systems it must operate within, such as CRMs, ERPs, internal tools, and third-party APIs through secure API integration. This stage includes action-execution flows, memory design, function calling, routing logic, and workflow ownership, enabling the agent to complete tasks end-to-end.
We stress-test with adversarial prompts, concurrency loads, failure trees, and hallucination traps using MLflow, automated test suites, accuracy metrics, and decision log analytics to validate safe, repeatable production behavior.
The agent is shipped with Kubernetes scaling, inference cost controls, tracing dashboards, and live KPI monitoring. Continuous retraining pipelines refine model outputs while preserving reliability, latency targets, and operational budgets.
Industry-specific AI agent solutions engineered to solve operational bottlenecks, reduce manual load, and deliver measurable business outcomes.
We build AI agents that manage lead qualification, property data syncing, client follow-ups, contract coordination, and CRM workflows. Using LLM orchestration and rule-based decision layers, our agents shorten deal cycles and help teams handle 5x more listings with zero operational friction.
Adaptive learning agents, grading assistants, student-support copilots, and content-generation pipelines. Our agents automate assessments, answer queries, personalize learning paths, and ensure academic compliance, providing institutions with scalable, error-free support across LMS and SIS ecosystems.
Compliance-aware agents for KYC/AML checks, transaction monitoring, risk scoring, and audit preparation. We build agents with strict guardrails, encrypted data flows, and deterministic reasoning paths, ensuring reliability across high-stakes financial workflows.
AI agents for appointment triage, intake automation, care coordination, claims processing, and clinical documentation. Built with HIPAA/GDPR-ready data handling and secure role-based access, our agents reduce admin load and enhance patient response times.
Agents for shipment tracking, load planning, SLA monitoring, customs paperwork automation, and multi-system coordination. We structure agent pipelines to pull data from ERP, TMS, and WMS systems, providing real-time visibility and enabling faster operational decisions.
Comprehensive expertise across every layer required to build, deploy, and scale enterprise-grade AI agents.
Modern, responsive interfaces built with React, Next.js, Vue, and micro-frontends that support AI-driven interactions. UI components are optimized for real-time agent responses, conversational UIs, and dynamic task execution.
API-first, cloud-native backends using Node.js, Python, Go, and FastAPI. Ideal for orchestrating agent logic, managing vector databases, enabling multi-agent communication, and integrating secure LLM gateways.
Custom agent pipelines powered by LLMs, RAG, embeddings, and orchestration frameworks. Includes intent routing, tool calling, autonomous planning, memory management, and continuous fine-tuning for domain accuracy.
Flexible content ecosystems using headless CMS platforms like Strapi, Sanity, and WordPress APIs. Architected so AI agents can fetch, update, and manage structured content securely and with full auditability.
High-performance relational and NoSQL setups using PostgreSQL, MongoDB, Redis, and vector databases like Pinecone or Milvus. Structured to support fast retrieval, agent memory, and low-latency decision flows.
Human-centered design systems tailored for AI workflows. Clear interaction states, conversational UI patterns, and adaptive components support smooth collaboration between users and autonomous agents.
LLM-specific testing, behavioral consistency checks, load simulation, hallucination control, and red-teaming. Ensures agents remain reliable, stable, and production-ready across environments.
Our reputation is built on creating great outcomes for clients.
AI-driven solutions purpose-built for real operational impact.
An intelligent voice-based HR support agent built using OpenAI’s real-time API. The agent handles policy queries, delivers instant responses tailored to internal documents, and reduces reliance on HR teams.
Results:
90% improvement in operational efficiency
75% increase in employee experience scores
90% scalability and performance gains
30% reduction in HR support costs
A conversational IVR agent developed with Twilio APIs and NLP models, enabling caregivers without smartphones to track visits, record feedback, and interact through voice or keypad inputs.
Results:
65% increase in user satisfaction
70% improvement in feedback accuracy
50% reduction in visit-reporting discrepancies
Significant uplift in accessibility for non-technical caregivers
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
If you’re planning to build AI agents that reduce workload, improve accuracy, and support your teams in real time, Devtrust can step in as your development partner.
Share your goals, and our AI specialists will map out the right approach, architecture, and execution plan for your use case.
The stack depends on your use case. We work with OpenAI, Gemini, custom LLMs, vector databases, retrieval pipelines, event-driven workflows, and cloud-native orchestration.
Yes. We connect AI agents with CRMs, ERPs, HR systems, custom apps, telephony, knowledge bases, and API ecosystems.
Through structured prompts, controlled reasoning layers, RAG, guardrails, fallback flows, and compliance-aligned monitoring.
Absolutely. We build voice, IVR, and multimodal agents using Twilio, WebRTC, speech-to-text, and real-time inference pipelines.
