Service — Enterprise Applications

Internal tools that fit your stack.

Custom internal tools, dashboards, admin consoles, and line-of-business systems — built AI-first and integrated with the enterprise systems you already run, with senior engineers reviewing every line.

What is it? Enterprise applications are the custom internal tools, dashboards, admin consoles, and line-of-business systems Kinisys builds AI-first to run your operations and integrate with your existing ERP, CRM, and data systems. AI agents do the building under senior engineering review, the code lives in your GitHub from commit one, and you own 100% of it.

What you get

  • Custom internal tools — operational apps tailored to how your teams actually work, replacing spreadsheets and manual handoffs.
  • Dashboards & admin consoles — real-time visibility and control over your data, users, and processes.
  • Line-of-business systems — workflow, case-management, and back-office systems built around your rules.
  • Enterprise integrations — connections to your ERP, CRM, identity provider, and internal APIs via patterns your IT team trusts.
  • Security by default — SSO, role-based access, audit logging, and least-privilege design built in from day one.
  • Your repository — the full codebase in your GitHub organization, with handover docs and no lock-in.

How we build it

One focused workshop locks the scope and a fixed-price proposal. Senior engineers then design the architecture, data model, and integration plan — the blueprint the AI builds against. AI agents generate the full stack (APIs, frontend, integrations, tests, CI/CD) in parallel, and every pull request is reviewed line-by-line by a senior before it ships. You see weekly demos against a live staging environment, and every build includes a 30-day post-launch window for fixes and tuning.

Default technology stack

Next.js / React / TypeScript on the front end, Node.js or Python (FastAPI) on the back end, PostgreSQL plus Redis, hosted on AWS or Vercel, with Supabase where it fits and an AI layer (OpenAI, Anthropic Claude, open-weights via LangGraph) where intelligence adds value. If you have a hard requirement — Java, .NET, or on-prem — we adapt.

Explore what else we build.

Data Platforms

Pipelines, warehouses, and analytics layers engineered for scale and governance.

Learn more →

Legacy Modernization

Re-platform and rebuild aging systems on a modern, AI-accelerated stack — no big-bang rewrite.

Learn more →

AI Automations

Document processing, approval workflows, and decision engines that run 24/7.

Learn more →

Enterprise application questions.

Can you integrate with our existing enterprise systems?
Yes. We build against your existing ERP, CRM, identity provider, data warehouse, and internal APIs — using SSO, role-based access, and the integration patterns your IT team already trusts. The application fits into your stack rather than forcing a rip-and-replace.
How do you handle security and access control?
Role-based access, SSO, audit logging, and least-privilege design are built in from day one, and senior engineers review every pull request for security before it ships. We work within your compliance and data-residency requirements, including on-prem deployment where needed.
Do I own the enterprise application code?
Yes — 100%. The full codebase lives in your GitHub organization from the first commit, with handover documentation. There is no license-back, no shared ownership, and no proprietary platform you must keep paying for.

Ready to build your internal system?

Tell us what you want to build, your rough timeline, and any budget range. We reply within one business day.

Book a free consultation