Workflow AI
AI product studio and parent company
Operationalize AI into working products and workflows.
Nagatitan helps small and mid-market companies turn AI strategy into production workflows, internal tools, and software products that improve how the business actually runs.
StrategyProduct designProduction AIRollout
What we build
AI systems that fit inside real operations.
The first release should not be a science project. It should make a workflow faster, a team sharper, or a product more valuable.
Internal Tools
Build operating systems for your company
Create focused tools that connect people, data, approvals, and actions across the places your business already runs.Product Builds
Move from idea to usable software
Design and ship AI-enabled prototypes, SaaS products, and customer-facing tools with production discipline.Data-Connected Systems
Make scattered business data actionable
Connect source systems, enrich records, and surface the next best action without forcing your team into another dashboard.How we work
From AI ambition to shipped systems.
Strategy call
Clarify the business outcome, operating bottlenecks, data reality, and where AI can create measurable leverage.
Opportunity audit
Map workflows, prioritize use cases, define approval paths, and decide what is worth building first.
Design and build
Turn the roadmap into workflows, internal tools, agents, or software products with typed contracts and clear boundaries.
Rollout and iterate
Launch with human checks, observability, feedback loops, and measurable improvements to the way the business operates.
Portfolio focus
Built for clients, informed by our own product work.
Nagatitan is the parent company for internal product development and selected client builds. In v1, the portfolio stays broad so the consulting offer stays clear.
Business operationsReal estate technologyClient communicationWorkflow intelligenceAI-enabled SaaS products
Why Nagatitan
Product judgment, AI discipline, and operator speed.
Production systems over AI demos
Business outcomes before technology choices
Founder-led product and architecture judgment
Human approval for high-impact actions
Small-company speed with serious delivery discipline
Start with clarity
Find the AI systems worth building first.
Share what you are trying to build, where work slows down today, and what would make an AI initiative worth the effort.