Intuz

Core capabilities

• Agentic AI systems: AI agents, RAG pipelines, and multi-agent orchestration using technologies including LangGraph, CrewAI, AutoGen, and n8n.
• Custom software: Web platforms, mobile apps, SaaS products, API infrastructure, and enterprise systems.
• Connected products: Hardware integration, edge computing, real-time data, and industrial automation.
• Cloud and DevOps: AWS, Azure, GCP, Kubernetes, CI/CD, infrastructure as code, and cloud migration.

Intuz reports 16 years of experience and more than 700 products shipped across the United States and globally. Its work includes production systems for child welfare, home health, and florist ecommerce organizations.

Contact

• Phone: +1 650.451.1499
• Location: San Ramon
• Email: getstarted@intuz.com

The contact form supports inquiries for new projects, general questions, job applications, content partnerships, and selling a product or service.

• Workflow automation: Connect tools, automate approvals, synchronize data, and remove manual handoffs using n8n, Zapier, Make, or custom APIs.
• Agentic AI and AI agents: Build systems that reason, plan, and execute multi-step tasks, including document intake, decisioning, and final action.
• AI process automation: Combine AI decisioning with deterministic workflow steps for auditable business processes such as claims, procurement, back-office operations, and onboarding.
• Document and data automation: Use OCR and document processing to extract structured data from PDFs, scanned forms, faxes, and emails and send it to business systems.

Additional capabilities include AI automation consulting, custom AI development, RPA and AI hybrid automation, chatbot and voice automation, predictive and anomaly detection, CRM and ERP integration, compliance and audit automation, and legacy system modernization.

Example use cases

Intuz helps businesses automate invoice and document processing, support ticket routing, lead qualification, claims and application handling, employee onboarding, contract review, inventory and supply-chain synchronization, scheduling, reporting and reconciliation, and fraud or anomaly detection.

Delivery process

1. Audit workflows and prioritize high-ROI opportunities.
2. Select a no-code, RPA, or custom AI approach based on the task's complexity.
3. Build in sprints with visible progress and regular check-ins.
4. Test against real data, edge cases, and failure modes.
5. Deploy, support the initial production period, and transfer ownership with documentation.

Most projects take 4–8 weeks for a production-ready system. Simple single-workflow projects can take 2–3 weeks, while complex multi-system agentic builds take longer.

Security and integration

Engagements begin with a mutual NDA. Intuz provides GDPR-compliant Data Processing Agreements and supports GDPR and HIPAA requirements. Integrations can connect Salesforce, HubSpot, SAP, NetSuite, and custom internal systems through APIs, webhooks, and middleware. The company states that encryption, role-based access, audit logs, private-cloud deployment, and on-premises deployment can be implemented for sensitive data.

Agile DevOps solutions

Intuz provides DevOps consulting and outsourcing services intended to improve developer productivity, reduce time to market, and support continuous delivery.

Services

• Infrastructure management: Cloud frameworks for configuration management, infrastructure automation, analytics, and adaptable infrastructure.
• CI/CD: Shared repositories and delivery processes for faster, more secure, and more consistent application releases.
• Release management: Agile practices to increase successful deployments and streamline operations.
• Monitoring consulting: Continuous monitoring to identify and report potential errors.
• Capacity management: Cloud-resource sizing for different workloads.
• Availability management: Continuous monitoring and event-driven management architectures.
• Security management: Cloud security and compliance practices, inspections, and audits.
• DevOps support: Around-the-clock technical support using monitoring tools and tactics.
• Cloud migration: End-to-end migration of platforms to the cloud across technologies.

Benefits described by Intuz

Intuz says its DevOps specialists can provide fast and secure execution, operational efficiency, increased agility, and enhanced security. Its delivery pipeline includes quality assurance, and its streamlined software delivery approach can reduce time to market by up to 50%.

Industries

DevOps services are offered across healthcare, manufacturing, automotive, oil and gas, transportation, fintech, agriculture, utilities and energy, logistics, hospitality, banking and insurance, education, event management, social networks, and retail and ecommerce.

Technology stack

• Mobile: React Native, Objective-C, Swift, Kotlin, Java, Ionic, Flutter
• Web: React, Next.js, Vue.js, Node.js, Python, PHP, AngularJS
• Databases: Amazon RDS, MySQL, Firebase, MongoDB, PostgreSQL
• DevOps: Docker, Git, Jenkins, Kubernetes, Gradle, Selenium
• Cloud: AWS, Google Cloud, Microsoft Azure, DigitalOcean, Vercel, ImgIX

Intuz identifies AWS as a consulting partner and states a 99.9% uptime SLA for its cloud and DevOps offering.

• AI strategy and advisory: Data-readiness assessment, use-case prioritization, model selection, ROI targets, milestones, and contingency paths. Discovery ends with a go or no-go recommendation.
• AI model development and integration: Functional prototypes using real data, with scalable architecture and a path to production.
• AI-powered products and customer experiences: Conversational AI, recommendation engines, RAG-based knowledge assistants, predictive analytics, prompt engineering, and cloud deployment.
• AI governance and MLOps: Drift detection, evaluation pipelines, audit trails, and governance frameworks designed for security review and continued model performance.

Transformation process

1. Assessment and strategy: Review business goals, pain points, and the technical landscape to create a prioritized roadmap, delivery timeline, and ROI targets.
2. Data collection and preparation: Audit datasets, engineer features when needed, and build versioned pipelines with lineage, reproducibility, and access control.
3. Model development and testing: Fine-tune solutions for the organization's domain and evaluate them using interpretable architectures and rigorous testing.
4. Integration and deployment: Ship models as containerized services, connect them to existing infrastructure, and automate delivery with CI/CD pipelines.

Industries served

Intuz describes AI transformation work for healthcare and pharmaceuticals, ecommerce and retail, finance and banking, transportation and logistics, education and e-learning, legal, travel, and manufacturing.

Engagement principles

The company emphasizes AI-first engineering, rapid prototyping, outcome-focused delivery, flexible scaling, documented handoffs, and deployment within the client's stack and controls. It states that engagements can use fixed fees tied to agreed success criteria rather than hourly meters.

Intuz offers a 45-minute free consultation with its AI experts.