Start with a real task.
A defined problem, a responsible owner and an agreed way to judge the result.
NUXISAI / HOME ↗Built around the work.
ABOUT NUXISAI / BASED IN INDIA
Built around the work.
Developed with intention.
NuxisAI is being built to help enterprises put specialised AI agents to work across business functions. The starting point is a useful workflow, with a reusable platform foundation developing underneath it.
Discuss your workflow01 / THE APPROACHWORKFLOW ENGINEERING + A SHARED FOUNDATION
Understand the operation.
Build what it needs.
Customer operations, finance and internal services involve different systems and responsibilities. We focus on the actual handoffs, information and decisions before proposing automation.
Make authority explicit.
Agree which information is permitted and where a person must approve or take over.
Build a foundation over time.
Separate reusable software from confidential customer information and project-specific rules.
02 / THE DIRECTIONPLATFORM DEVELOPMENT
Focused delivery.
Reusable capabilities.
MeruOS is the shared foundation we are developing for system connections, business context, workflow execution and oversight. Components and required development are confirmed for each engagement.
INSIDE NUXIS / DEVELOPMENT DIRECTIONHow we intend to build and improve
06 / INSIDE NUXISOUR INTERNAL DEVELOPMENT DIRECTION
A focused first solution.
An increasingly reusable platform.
As similar customer needs recur, we turn the common components into reusable capabilities. Two internal systems are intended to strengthen this process as the business develops.
01 / BUILD & REUSE
The AI Agent Factory
A development system for creating, adapting, testing, and packaging capabilities. AI coding tools help propose changes; engineers evaluate what is released.
AgentsConnectorsTemplates
CONFIGURE + DEVELOPBuild what’s missing.Proposed code · Integrations · Tests
Isolated evaluationApproved package ↗
- Find reusable agents, connectors, and workflow templates.
- Separate configuration from new development.
- Evaluate changes in an isolated environment.
- Package approved capabilities for future reuse.
FOR EXAMPLE
A shared invoice-matching capability, configured for each company’s accounting system, document formats, and approval rules.
02 / LEARN & PRIORITISE
The AI Product Manager
An internal system to turn feedback, failures, and operating patterns into proposed priorities, requirements, and acceptance criteria.
AI ProductManagerPROPOSES. PEOPLE REVIEW.
Observe operationIdentify patternsPropose changesReview & release- Analyze feedback, corrections, and repeated exceptions.
- Assess time, cost, and workflow outcomes.
- Assemble relevant examples and acceptance criteria.
- Coordinate proposed work through the Agent Factory.
FOR EXAMPLE
Repeated errors on one document format become a pattern to investigate, a set of test cases, and a proposed improvement.
General capabilities can be reused. Confidential customer information stays protected. Engineers review proposed changes, customer approval is obtained where agreed rules are affected, and production releases remain controlled.
PROGRESSIVELY DEVELOPEDALONGSIDE CUSTOMER DELIVERY
START WITH ONE WORKFLOWBring us the work.
Tell us your workflowBring us the work.
Let’s find the next step.
A recurring task, the systems around it and a person who knows how it works.