Visual workflow builder. A supervisor agent coordinates three specialized sub-agents (QA, Payments, Invoices), each with its own model, tools, and memory — orchestrated through a router with shared conversation state.
Coordinate AI models, enterprise systems, and data sources within a unified execution layer that analyzes inputs, distributes tasks across intelligent agents, and triggers real operational workflows.
Visual workflow builder. A supervisor agent coordinates three specialized sub-agents (QA, Payments, Invoices), each with its own model, tools, and memory — orchestrated through a router with shared conversation state.
Aginies isn't a prototype. It runs business-critical workflows at enterprise scale across customer support, document processing, voice AI, and operations — observed and measured every minute.
Aginies is an enterprise-grade agentic AI orchestration platform that coordinates supervisor agents and specialized sub-agents, executes multi-step workflows, invokes external tools and APIs, retrieves knowledge from private data sources, and integrates seamlessly with your existing infrastructure — all within a managed, observable, and secure execution environment.
From digital transformation leaders to operations teams, Aginies enables organizations to move beyond AI experimentation and deploy reliable, production-ready AI systems across real business processes.
Choose the best model for each task, workflow, or environment. Swap providers and benchmark performance without rebuilding your execution pipelines.
Connect models, enterprise systems, data sources, and tools within a unified, secure AI operating layer that runs real workflows end-to-end.
Deploy securely on-premise or in hybrid environments to keep sensitive data within your infrastructure and maintain full control over AI execution.
Build workflows, manage knowledge, observe executions, and connect systems — all from a single, production-grade control plane.
Configure tools per agent. Wire any agent to custom functions, REST APIs, MCP servers, or built-in connectors like Gmail and Google Calendar — with per-tool invocation policies.
Drag, connect, and configure. Every block — agents, routers, memory, guardrails, human-in-the-loop — is a first-class primitive you can compose into any workflow.
Managed knowledge bases. Upload documents, spreadsheets, and data files. Aginies handles chunking, embeddings, tokenization, and tagging — ready to be queried by any agent in your workflow.
Structured and unstructured content, chunked, embedded, and versioned. Inspect every chunk, edit metadata inline, filter with tag-based queries, and serve agents with high-precision retrieval.
Full-stack observability. Monitor execution volume, success and failure rates, cost, and per-workflow health with real-time dashboards. Drill into any run to inspect inputs, outputs, tool calls, and latency.
Traces for every execution. Timelines for every workflow. Detailed audit logs with inputs, outputs, and errors. Your AI is no longer a black box — it's a measurable, debuggable production system.
Connect in one click. Native integrations with Google Workspace (Gmail, Drive, Docs, Sheets, Calendar), Microsoft (Excel, Teams, Outlook, Planner), and enterprise platforms — plus custom MCP servers for anything else.
Pre-built connectors for the tools your teams already use — plus Custom Tools, MCP servers, REST APIs, and SSO. Bring your own auth, your own endpoints, your own systems.
Aginies executes AI across real business workflows in four coordinated steps — from signal ingestion to observable, optimized operation.
The platform gathers inputs from applications, APIs, documents, voice channels, and user-triggered events to prepare execution-ready tasks.
Supervisor agents break complex objectives into structured execution steps and assign responsibilities across specialized sub-agents.
Specialized agents retrieve knowledge, process documents, invoke tools, interact with enterprise applications, and trigger real operational actions.
Monitor agent decisions, workflow behavior, latency, and tool usage with full execution visibility across environments.
Production-ready deployments across customer support, document intelligence, voice AI, and quality monitoring — all coordinated through Aginies.
Provide instant product guidance, resolve customer requests, and execute order-related actions through coordinated AI agents connected to your knowledge base and commerce systems. The assistant retrieves accurate product information from vector search, understands customer intent, and performs real operations such as updating delivery details or initiating cancellations when policy conditions are met.
Agent connected to commerce tools. Custom tools like order_action, change_product, where_is_my_order, and xum_question_and_answer execute real operations against your commerce stack.
Extract structured data from invoices and business documents across varying formats and layouts using AI agents that identify key fields, validate extracted information, and trigger downstream workflows across enterprise systems.
Extraction → validation → action. An OCR workflow extracts fields from a banking document (names, IDs, IBANs, dates, signatures), runs a validation agent, and emits a clean JSON payload for downstream ERP ingestion — with full execution logs per block.
Automate the claims intake process through AI-driven voice interactions that collect incident details, validate policy information, and initiate claim records directly within core insurance systems. The solution handles customer conversations at scale while reducing reliance on manual call center operations.
Every voice interaction traced. A single claim-intake run decomposed into its block-level execution timeline — find orders, state transitions, validations — with duration, cost, and inputs/outputs visible at every step.
Automatically analyze incoming emails and attachments using AI agents that classify requests, verify document completeness, detect missing or inconsistent information, route cases to the correct departments, and generate responses that guide customers through next steps — enabling structured, traceable, and scalable request handling.
Classify, validate, route, reply. An email pipeline reads incoming messages, runs classification, validates attachments, and either responds automatically or hands off to the right team — with logs, token counts, and provider timings captured per block.
Automatically evaluate customer conversations at scale using AI agents that analyze call recordings, measure agent performance, detect quality indicators, and generate structured insights across the entire call center operation — moving beyond manual sampling to consistent, data-driven monitoring.
Evaluate 100% of conversations, automatically. Per-workflow success rates, execution heatmaps, error-rate trends, and failure spikes — so every interaction contributes to the quality score, not just a 2% sample.
Six foundational capabilities engineered for operational reliability, observability, and secure enterprise execution.
Plan multi-step execution pipelines, distribute responsibilities across specialized agents, and manage complex AI operations end-to-end.
Enable agents to exchange structured context, share intermediate outputs, and coordinate decisions across multi-step workflows.
Connect agents to APIs, business platforms, and external services through standardized and controlled integration layers.
Introduce approval checkpoints and oversight layers wherever controlled execution and compliance are required.
Access documents, databases, APIs, and live systems through a single orchestration-ready retrieval layer.
Strengthen response reliability using retrieval pipelines, validation layers, and controlled agent workflows.
Add a server URL, configure headers, test the connection — agents can now invoke its tools securely. Extend your workflows without writing new integration code.
Every chunk is inspectable, editable, and tagged with metadata. Fine-tune retrieval quality without re-ingesting your entire corpus.
Connect any model to any system — securely, observably, and at production scale. Aginies orchestrates across models, data, tools, and channels.
Proprietary · Open-source · Fine-tuned. Pick per task, swap per workflow.
Vector stores, SQL, lakes, file systems. Unified retrieval and embeddings.
ERP, CRM, ticketing, automation. Execute real actions, not just responses.
Voice, email, chat, REST APIs, MCP. Meet customers where they are.
Native connectors, ready to wire. Gmail, Google Drive, Docs, Sheets, Forms, Calendar, Vault, Microsoft Excel, Planner, Teams, Outlook — plus Custom Tools, MCP Servers, API Keys, and SSO under a single settings surface.
Deploy where your data must live. Audit every action. Govern every model call. Aginies is engineered for organizations where AI must meet the same standards as every other critical system.
Deploy on-premise, in your private cloud, or in a dedicated region. Your data never leaves the perimeter you control.
Single sign-on, fine-grained RBAC, workspace isolation, and per-workflow access policies — matched to your enterprise identity provider.
Sensitive data masking at ingestion. Configurable PII redaction. Full audit trails for every agent action and model call.
Book a 30-minute session with our team. We'll walk through your use case, show the platform, and outline a path to production.