Calculated, not invented
Approved logic executes against your data sources. The model doesn't write new SQL or calculate certified results at runtime.
Turn enterprise data and business knowledge into a growing library of approved questions. Employees and AI agents receive certified, timestamped answers computed directly from your systems, not numbers invented by a model.
| Business unit | Net revenue |
|---|---|
| North America | $12,450,000 |
| Europe | $8,720,000 |
| Asia Pacific | $5,310,000 |
| Total | $26,480,000 |
AI can recognize what someone is asking. Your organization should define how the answer is calculated. Toolstrata separates those responsibilities.
Approved logic executes against your data sources. The model doesn't write new SQL or calculate certified results at runtime.
Every approved answer can carry its question version, source, execution time and verification record.
Give authorized employees, applications and agents access to the same governed business definitions.
Build certified business questions once, then make them available to every authorized AI workflow.
Link databases, warehouses, files and supported data sources through governed connections.
Discover tables and relationships. Generate or manually author business questions.
Test the logic, review business definitions and approve what can be executed.
Publish approved questions to authorized agents, applications and employees.
Every employee question is a signal. Toolstrata identifies recurring themes, measures which needs are served by certified answers and reveals where knowledge is missing, across all authorized agents.
Illustrative interface and metrics, not actual customer data.
A visual workspace for the entire question lifecycle—not a collection of custom scripts that each agent must maintain.
Discover sources, tables, columns and relationships in a visual interface.
Generate, edit, test and approve business questions with versioned execution logic.
Visualize how agents connect to certified questions and their underlying sources.
Publish reusable tools and scope what each agent is authorized to execute.
Analyze enterprise question themes, answer coverage and missing knowledge.
Trace approved definitions, execution history, timestamps and result receipts.
Toolstrata separates conversational intent from business-data execution. Authorization and certification are enforced by the application rather than left to prompts.
The runtime model does not need underlying database tables, SQL, schemas or credentials. It calls an approved tool and receives its authorized output.
Multitenant isolation, permissioned agents, governed connections and controlled question access.
Question versions, approval history and traceable execution receipts support review and accountability.
Note: returned approved outputs may be visible to the calling AI provider. AI-assisted question authoring has separate metadata and data-handling considerations. Authentication and compliance capabilities depend on deployment configuration.
The approved-question model applies wherever people need reliable answers from enterprise data, not just one industry or application.
Revenue, margins, variance analysis and financial reporting.
Approved exposure, policy and regulatory reporting metrics.
Capacity, utilization, staffing and operating performance.
Pipeline, retention, account health and forecasts.
Costs, inventory, throughput and service-level reporting.
Shared certified tools for assistants, agents and internal applications.
Keep enterprise data systems and AI interfaces in place. Toolstrata adds the governed question-and-answer layer between them.
Toolstrata originated inside Alargo AI, where reliable AI access to complex proprietary business data required more than a chatbot. That same certified-answer infrastructure is now available as an industry-independent platform for enterprise teams.
Explore how Toolstrata can connect your business data, certify your critical questions and expand your organization's knowledge.