Internal business platforms
Role-aware workspaces that combine search, generation, and workflow actions over approved data and tools.
AI Applications
Custom AI-powered applications your teams can run and own.
Custom AI-powered web and mobile applications and business platforms, from internal copilot surfaces to customer-facing products, built on governed architecture you control.
Product-grade
Web & mobile experiences
Governed
Auth, policy, and audit built in
Integrated
Connected to your systems of record
Owned
Full application IP at handover
Perspective
Applications where AI is the product, not a sidebar
Many AI initiatives stop at APIs or chat widgets that never become software operators adopt. Business value shows up in complete applications: workflows, permissions, integrations, and UX designed for the people who run the process daily.
InheritX builds AI-powered applications and platforms that sit in your estate: customer portals, operator consoles, field apps, and internal business platforms with models, retrieval, and agents embedded where they improve outcomes.
You receive production code, infrastructure patterns, and documentation, not a prototype that needs a second vendor to harden.
Capabilities
Application patterns we deliver
Each pattern includes threat modeling, role-based access, and release discipline appropriate to its audience.
Customer-facing AI products
Web and mobile experiences with escalation paths, citation or evidence UI, and compliance logging for regulated industries.
Operator & field applications
Mobile-first tools for inspection, service, and decision support with offline-tolerant capture where sites require it.
Embedded AI in existing products
New modules inside your SaaS or line-of-business apps: recommendations, assistants, and automation without rewriting the core.
Dual view
From copilot demo to owned application
What we avoid
Iframe chatbots with no workflow context
Shadow UIs that bypass ERP or CRM controls
No path to SSO, audit, or release management
What we deliver
- End-to-end application architecture and UX
- Integration with identity, data, and approval systems
- CI/CD, monitoring, and operational runbooks
- Handover your product and platform teams can extend
Fit
When to build an AI application
Users need a guided workflow, not free-form chat
Task-oriented UI with AI steps embedded at decision points
Multiple roles see different data and actions
RBAC, tenant isolation, and policy-aware retrieval
Mobile or offline access is required
Native or progressive web apps with sync and capture patterns
AI must post back to systems of record
Typed integrations, idempotent writes, and human approval on commits
Continue
Adjacent capabilities
FAQ
AI Applications FAQ
No. We also embed AI modules into existing products when architecture and release ownership are clear.
We align to your approved web, mobile, and cloud standards. The stack serves maintainability and your team's skills.
Generative AI is the LLM and knowledge layer. AI Applications is the full product: UX, integrations, auth, and operations around that intelligence.
You do. We transfer repositories, infrastructure templates, and runbooks at handover.
Next step
Map this capability to your mandate.
A focused strategy conversation, constraints, systems, and what production readiness looks like for your organization.