Platform · 01
ZenAI Pilot
Focus on one high-leverage problem for 90 days — solve it end to end and ship to production.
Enterprise AI IntegrationZENAI
Seamless integration, not rip-and-replace:AI power for your enterprise systems.
Led by a Silicon Valley engineering team, we turn legacy systems into intelligent workflows in weeks.
Secure, compliant, and built for clear, measurable ROI.
Silicon Valley standards · Enterprise AI assets for healthcare, manufacturing, and automotive leaders and other regulated industries.
A trusted engineering partner
In real industries,we put systems into production.
Built on ex-Google engineering standards, we serve regulated, high-complexity verticals — not proof-of-concepts, but production systems that ship.
8+
Vertical industriesUS
Contracts under US jurisdiction24/7
Production operationsHealthcare
Manufacturing
Retail
Insurance
Education
Travel
What we do
From legacy systems to intelligent workflows,delivered end to end.
- ZenAI Platform
Platform · 02
ZenAI Fabric
The AI architecture layer that integrates intelligent capabilities into your enterprise systems.
Platform · 03
ZenAI Shield
Security and governance built in — access control, audit logging, and data-handling rules in the architecture.
- Delivery Services
01Digital Transformation
Digital transformation and system modernization
Upgrade legacy ERP/CRM systems in stages, with parallel testing and a controlled cutover rather than a one-shot rewrite.
- Frictionless legacy system migration
- Microservices architecture refactoring
- Data silo integration
- Real-time business monitoring dashboards
02Custom AI Integration
Custom AI integration and intelligent workflows
Train dedicated AI models on your existing business data, embed them into real workflows, and deliver measurable efficiency gains.
- Voice AI agents
- Intelligent document processing and compliance review
- Predictive data analytics
- Multilingual cross-border business automation
Services
From legacy systems to mobile apps,pick the path that fits
We deliver production AI implementation, governed workflow automation, and custom software around the systems your teams already use. Open the closest match to see how we work and start an assessment.
AI Implementation Services
- Context
- A promising AI use case needs a practical path from first workflow to reliable production use. Without a clear roadmap from pilot to operations, promising projects stall in the sandbox phase. You need a partner who understands both the AI side and the production systems integration required to make it real.
- Our scope
- We scope the pilot, systems, controls, acceptance criteria, and post-launch ownership. We design the full transition: from proving value in a controlled test to integrating AI into real workflows, defining who approves AI actions, and taking ongoing responsibility for monitoring and updates after launch.
AI Integration Services
- Context
- AI must work with the CRM, ERP, data, and internal systems your team already relies on. AI that only lives in a notebook or test environment doesn't move the needle. You need it connected to real workflows, real data, and real business operations.
- Our scope
- We map data, permissions, validation, controlled write-back, monitoring, and recovery. This means designing how AI reads your systems securely, how it writes decisions back without breaking operational rules, and how you monitor what it's doing in real time.
AI Workflow Automation
- Context
- Repeated work crosses people and systems, but automation cannot remove the necessary judgment. You need AI to handle the repetitive steps — data gathering, formatting, preliminary checks — while humans stay in control of the real decisions and exceptions.
- Our scope
- We design the workflow, approvals, exception queues, integrations, and ROI baseline. That means mapping every step, deciding which ones the AI can own, which ones need human review, how exceptions get flagged, and how success is measured before we build anything.
Intelligent Document Processing Services
- Context
- High-volume documents need reliable extraction, validation, review, and system write-back. Manual processing burns headcount and introduces inconsistent errors. You need a system that catches problems and flags them for human eyes before data gets written to your systems.
- Our scope
- We build governed intake, extraction, human review, audit trails, and controlled delivery to your systems. Every decision is logged, every exception is reviewable, and the chain of custody is unbreakable — so you can defend your data integrity if anyone asks.
Custom AI Development
- Context
- Enterprise workflows need AI applications and products built around proprietary data and real operating constraints. Generic AI tools trained on public data won't understand your business logic, your edge cases, or your compliance requirements.
- Our scope
- We cover architecture, models, data, evaluation, product engineering, and production operation. From understanding your data to training custom models, building the product experience around them, measuring what works, and keeping everything running reliably.
AI Agent Development
- Context
- Teams need agents that can use approved business tools and data, but only inside clear permissions and ownership boundaries. An agent without boundaries is a liability: it can read confidential data, make unauthorized changes, or take actions you can't explain.
- Our scope
- We define objectives, action catalogs, approvals, evaluation, monitoring, and stop controls before production use. This means building agents that are transparent about what they can do, getting explicit approval for sensitive actions, and having the ability to shut them down if something goes wrong.
AI Voice Agent Development
- Context
- Calls need reliable qualification, booking, CRM updates, and human handoff. A voice agent that can't understand context, misses the handoff point, or leaves the caller confused is worse than no agent at all. You need one that sounds natural and handles edge cases gracefully.
- Our scope
- We design call flows, build the voice agent, integrate telephony and CRM, and monitor quality. That means understanding common caller objections, preparing fallback paths when the agent isn't sure, and tracking when human agents need to take over.
Private LLM Deployment
- Context
- Enterprise data and models need to run under controlled infrastructure, permissions, and operational ownership. Relying on public APIs means sensitive data leaves your perimeter, and you lose control over how fast things run and how long they stay up.
- Our scope
- We cover deployment architecture, model serving, RAG, integration, evaluation, monitoring, and support. From selecting the right model and infrastructure for your workload to building retrieval pipelines, measuring quality, and keeping the system running at scale.
Custom Software Development
- Context
- Complex business workflows need software designed around the systems, roles, and decisions that make the operation work. Off-the-shelf tools either do too much (and you waste money on features you'll never use) or too little (and you stay stuck with spreadsheets).
- Our scope
- We cover discovery, architecture, full-cycle engineering, integrations, release, and long-term support. From understanding your workflow to shipping code to users, maintaining it, and evolving it as your business changes.
Legacy System Modernization
- Context
- Core systems still run the business, but they are costly to change and risky to replace in one move. Ripping them out exposes you to data loss, operational disruption, and huge sunk costs. You need a staged approach that lets you prove each step before moving to the next.
- Our scope
- We modernize in stages: interfaces, data access, integrations, parallel testing, and a controlled cutover. Each phase is independently validated and can run alongside the old system, so you never put the business at risk for the sake of a prettier interface.
Custom CRM Development
- Context
- Sales, service, or operations data is split across tools, and the current CRM cannot follow the real workflow. Each tool becomes another source of truth, creating duplicate work and blind spots. You need a single system that matches how your teams actually work.
- Our scope
- We map roles, data, integrations, and write-back rules before building or extending the CRM. This means understanding who needs what, how data flows between teams, what gets automated versus reviewed, and how changes ripple through the rest of the business.
Custom Web Application Development
- Context
- Teams need a browser-based system for a real operational workflow, not a brochure site. Your web app must connect to your backend systems, enforce your business rules, and handle the edge cases that only you know about.
- Our scope
- We design and build the application layer, APIs, data, permissions, and deployment around existing systems. That means understanding your data model, your permission rules, how fast things need to work, and how changes get deployed without disrupting live operations.
Custom Mobile App Development
- Context
- Users need a mobile product connected to backend systems, offline work, or device features. A web app on a phone screen doesn't cut it when your team is in the field, in a warehouse, or working in places where connectivity is intermittent.
- Our scope
- We cover the app, backend, integrations, and the operational path after store release. That means native performance, offline capability when it matters, smooth data sync, and the infrastructure to push updates without breaking the app for users in the field.
Cross-Platform App Development
- Context
- The same product must ship on more than one platform without duplicating every feature twice. Native development on iOS and Android separately means double the code, double the bugs, and double the maintenance burden.
- Our scope
- We compare shared code, native modules, and QA coverage so the architecture matches the product constraints. Sometimes a framework approach is right; sometimes you need platform-specific work. We'll tell you which trade-offs make sense for your product.
What the pioneers are experiencing
Listen to the real echo
Logistics & Global Trade
AI Finance Automation and Reconciliation Platform for a Cross-Border Trade Company
ZenAI built an AI finance automation and reconciliation platform for a cross-border trade company, helping its finance team connect payment gateways, ERP data, invoices, customs documents, and multi-currency transactions into a more automated financial workflow.
Read CaseMonthly reconciliation cycle: ~7 days to under 1 day
“Month-end used to mean a week of chasing numbers across platforms. Now we spend our time on the exceptions, and the whole reconciliation is done in under a day. Cash across platforms and currencies finally shows up when we need it.”
Mid-Sized Cross-Border Trade Enterprise
Finance Lead
Read Full Story →Logistics & Global Trade
AI Customs Document Automation for a Freight Forwarder
ZenAI built an AI customs document automation platform for a freight forwarding and customs brokerage company, helping its operations team parse bills of lading, commercial invoices, packing lists, and compliance documents, then cross-check key fields and generate customs entry drafts.
Read CaseComplex customs documents: 40–60 minutes to under 2 minutes
“We used to retype and cross-check the same data across bills of lading, invoices, packing lists, and customs files. That part is mostly handled now, so we focus on the risky cases. For complex imports, what used to take 40–60 minutes is under two.”
International Freight Forwarding & Cross-Border Customs Services Company
Customs Operations Lead
Read Full Story →Business Cases
Voice AI ThatListens, Thinks, and Closes.
Built from the ground up for North American retail automotive. Human-natural AI voice agents engage, negotiate, and book with ultra-low latency.
Live voice agent
CustomerWhat's included in the maintenance package for the car I bought last week?
AIYour package includes first-year oil changes, tire rotations, and 24-hour roadside assistance. Would you like me to schedule your first service?
CustomerSure — does next Wednesday afternoon work?
AIYou're booked for next Wednesday at 2 PM. I'll send a text reminder one day before.
7+
Auto dealership locationsAlways-on intelligent service that frees your sales team
Voice AI agents handle hundreds of calls at once — booking, qualifying, and routing — so your team focuses on high-value conversations instead of repetitive intake.
- Multi-turn dialogue with precise intent recognition
- Automatic scheduling with calendar sync
- Sentiment analysis with live handoff to humans
Listen to a real outbound sample to hear pacing and structured transcription.
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CONSULTING & ONBOARDING
AI Adoption GuideClarify direction before you invest.
Three steps to find your AI breakthrough entry point.
After completing the assessment, you will receive a tailored diagnostic report with industry benchmark comparisons and recommended action plans.
1Dynamic Diagnosis
2Generate Report
3Book Consultation
FAQ
Frequently Asked Questions
Clear answers for teams evaluating a production AI engagement.
How long does a ZenAI engagement take?
A typical engagement runs two to three months from first conversation to a production-ready system. The first one to two weeks cover discovery, system audit, and blueprint design. Build, training, and integration take roughly four to eight weeks from there.
What's the difference between ZenAI Pilot, Fabric, and Shield?
Pilot is the first phase — we identify your highest-leverage problem and solve it completely in production within 90 days. Fabric is the broader architecture that integrates AI across your enterprise systems. Shield is the security and governance layer: access control, audit logging, and data-handling rules designed into the system rather than added later.
How is ZenAI different from a typical AI consulting firm?
We don't deliver slide decks or proofs-of-concept that never ship. Every Pilot is scoped to one problem, solved completely, and deployed into production with measurable outcomes. We also build the underlying engineering foundation — most consulting firms only work at the application layer.
How much does it cost to work with ZenAI?
Because every system is tailored to the client's specific stack and goals, we don't publish off-the-shelf pricing. We use a transparent, milestone-based structure — you always know exactly what's being built and what you're paying for. The best way to get a concrete estimate is through a strategy call.
How do we get started?
The first step is a 1-on-1 strategy call with our engineering team — no pitch, just a focused conversation about your situation. You can book directly through the "Book a Demo" button or email us at contact@zenaicorp.com.
Ready for Transformation?
30 minutes to clarify your AI roadmap.Free assessment with a tailored diagnostic report.
AI that truly operates within your business.
Secure, compliant, and built for enterprise scale.