Operate your business through Agentic AI

Aukhtubut Business Console

Schema-driven operations platform

Business users, back-office staff, operations teams

Manage modules, entities, and records with dynamic forms and data tables built from schemas — no per-entity front-end releases. Document uploads can trigger downstream agentic workflows.

• Dynamic module and section navigation from agent-maintained schemas
• Rich CRUD forms with tabs, validation, and file upload to object storage
• Search, sort, pagination, bulk actions, and CSV export
• Kafka document events to start workflows automatically
• Keycloak SSO with role-ready back-office UX

Aukhtubut AAI Engine (Agentic AI)

Workflow orchestration and runtime control

Workflow designers, AI operators, reviewers

Design, execute, monitor, and operate agentic AI workflows with a visual builder, live runner, execution history, Kanban approvals, and centralized integration parameters.

• React Flow canvas for triggers, LLM agents, control flow, and approvals
• Live execution monitoring with logs, spans, and MCP tool traces
• Execution history, failure tracking, and token usage metrics
• Preconfigured MCP connectors — REST OpenAPI, documents, email, Dev Factory
• Kanban human-in-the-loop gates before irreversible writes

Unified identity and security

Keycloak SSO across the Business Console, AAI Engine (Agentic AI), and backends — with role-based access ready for enterprise rollout.

MCP-first agent orchestration

LLM agents call Model Context Protocol tools for REST APIs, documents, email, and sandboxed file I/O — without embedding integration code in workflow graphs.

Human-in-the-loop governance

Approve nodes pause execution, create Kanban tasks, and route decisions before sensitive writes reach core systems or external APIs.

Observable production workflows

Every node produces logs, spans, and tool traces surfaced in the AAI Engine (Agentic AI) — from design through live runs and post-mortem review.

Schema-driven business operations

Console module schemas define entities and fields; the UI renders forms, tables, and navigation dynamically as agents evolve your data model.

Event-driven and API-first integration

Kafka triggers, webhooks, and cron schedules start workflows; OpenAPI-backed MCP connectors keep integrations contract-driven and auditable.