Data scope and relationships
- Organize the analysis scope and materials
- Identify data relationships
Analyze data structures, samples and SQL to form business models with traceable evidence, then generate actions agents can use.
Business understanding & actions
01 / Product overview
NexusAI Terrain helps data teams, business experts and Agent application builders understand business from enterprise data structures, samples and SQL. It turns data relationships into business objects, rules, processes and actions while retaining evidence and questions for review. Versioned business models and tool exports make this knowledge inspectable and portable.
Data structures, samples and SQL
Business objects, rules and action definitions
Its role in the ecosystem
NexusAI Terrain examines schemas, samples and SQL to build business objects, rules, processes and actions. It preserves evidence and open questions so experts can confirm meaning, maintain model versions and export business capabilities as portable definitions.
Define the business scope and gather schemas, samples and SQL as evidence for analysis.
Review evidence for relationships, objects, processes and actions; experts confirm and merge model conclusions.
NexusAI TerrainWrite trials run on SQLite copies and roll back. Export tool, MCP or Skill definitions for recipients to integrate.
Terrain supplies business semantics and action definitions, complementing Studio’s application creation. Recipients arrange Agent integration for the exported tool, MCP and Skill definitions.
Terrain exports queries and business actions as tool definitions, MCP definitions or Skill packages, carrying business meaning, parameters and result descriptions. The receiving application arranges the Agent integration.
Terrain understands business data, confirms objects and rules, and defines actions. Studio defines Agent instructions, models, knowledge, tools and workflows. Their responsibilities complement one another.
02 / Core capabilities
Organize data structures, samples and SQL from selected systems. Define the data scope to understand and establish evidence for relationship analysis and business inference.
Use structures, naming and samples to identify relationships between fields and tables. Inspect the reasoning, unexplained fields and unconfirmed relationships one by one.
Organize core objects and associated information from data relationships. Describe business fields and rules in an object model that business teams can confirm.
Use object links, state changes, timing and business document flows to describe a process. Inspect how the data supports each relationship, state or process conclusion.
Review evidence and open questions with business experts, confirm their meaning, then compare analysis and model differences. Merge accepted conclusions into a model version.
Generate query, aggregation and business action definitions, and export tools, MCP and Skill packages. Call actions in managed conversations and trial writes on data copies.
03 / Use cases
Organize structures and exported data from several systems. Confirm relationships, business objects and document flows, and gather the questions business experts need to answer.
A business model with evidence and confirmation records, plus a list of questions still requiring judgment.
Generate query and aggregation actions from confirmed objects, fields and relationships. Define parameters and outputs, then export the definitions for an Agent integration.
Queries that express business meaning, with tool, MCP or Skill export packages.
Inspect a candidate action's parameters, execution and results. With human approval, trial write actions on a data copy and roll them back to check business expectations.
An inspectable trial process, action results and human judgment.
04 / How it works
Choose an analysis scope, import structures, samples and SQL, and identify the business systems represented by those materials.
Review data relationships, business objects, processes and actions. Answer questions against the evidence and merge accepted conclusions.
Check query and action behavior, trial writes on a data copy, then export tools, MCP definitions or Skill packages.
05 / Scope & combinations
The model is formed from the supplied data and evidence. Business experts confirm object names, business meaning and conclusions requiring judgment.
Write actions never change source data. Sources that support copies run them on a copy and roll back; for other sources, write actions are generated as definitions for export.
Terrain provides business semantics and action definitions. Tool, MCP and Skill exports supply materials for the receiving application to integrate with Agents.
CONTINUE EXPLORING
Review the wider architecture, or bring this product into a conversation about your team and systems.
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