Orchestrate AI insights into action
Turn connected systems
into an agentic decision engine.
AeroGenie synthesizes data, runs simulations, and executes complex decisions across workflows, giving teams greater accuracy, coordination, and control.
Make critical decisions with confidence.
AeroGenie synthesizes context, evaluates tradeoffs, and coordinates execution
across systems, workflows, approvals, and operational teams.
50+ Trained AI Agents
Choose from our built-in agents or add your own to specialize for any industry. Easily connect to your MCP servers and add skills.
DECISION REQUEST
What is the best recovery plan for this customer escalation?
RECOMMENDED PATH
Prioritize renewal risk workflow
BestFastest path with clear ownership, low customer risk, and immediate follow-through.
Route to support only
Medium riskLower coordination cost, but misses commercial context.
Escalate to leadership
SlowerUseful for visibility, but delays execution.
IMPACT
One end-to-end system for critical decisions.
Unlike tools that handle only search, automation, or isolated agents,
AeroGenie supports the full lifecycle from context to execution.
Connect
Systems, documents, sensors, feeds, tools, and APIs.
Ask
Question the full operating context in plain language.
Decide
Compare options by cost, risk, time, and feasibility.
Execute
Trigger governed agent workflows with approvals and audit.
Start in minutes, not months.
Connect your existing tools, documents, APIs, and workflows without rebuilding your stack. AeroGenie is designed for immediate value, not a long implementation cycle.
Connect what you already use
Work across CRMs, ticketing systems, spreadsheets, docs, chat, workflow tools, APIs, and MCP-compatible systems.
Ask in plain language
Describe the critical decision or workflow. AeroGenie gathers relevant context and turns it into an actionable decision pack.
Execute with control
Agents help assign owners, route approvals, update systems, and monitor follow-through inside your existing process.
Most AI workflows stop at answers.
AeroGenie coordinates the full decision lifecycle from synthesis and simulation to execution and follow-through.
Traditional AI workflows
Single-step actions
Fragmented context
Stateless prompts
Manual coordination
Generic automation
No tradeoff analysis
Answers
AeroGenie
End-to-end execution- Unified decision layer
- Persistent workflows
- AI-assisted orchestration
- Purpose-built execution
- Simulation and decision support
- Executable outcomes
Enterprise-Grade Security
Data is never shared across customers and remains protected at every layer.
Minutes
to connect tools and start working with existing workflows
MCP
compatible connectivity for AI tools and enterprise systems
End-to-end
from synthesis and simulation to execution and monitoring
Control
approvals, permissions, evidence, and replayable decision history
Connect intelligence to action.
A control layer above existing systems. Not a replacement.
Context
Data, documents, APIs, sensors, feeds.
Reasoning
Retrieval, comparison, simulation, ranking.
Agents
Tasks, workflows, updates, monitoring.
Governance
RBAC, approval gates, redaction, audit.
Execution
System actions, feedback loops, outcomes.
Simple to adopt.
Works with your systems, your data, your LLM strategy, and your governance model. Double-click or tap a question to expand it.
No. AeroGenie is an intelligence and control layer above existing systems. It connects to operational tools, databases, documents, workflow systems, and APIs, then coordinates decisions across them. The goal is to make existing systems work together, not force a rip-and-replace migration.
Not as a prerequisite. AeroGenie is designed to reduce setup friction by detecting table structure and joins, indexing documents, and connecting to common systems through connectors and MCP-compatible interfaces. Clean data still helps, but the product is designed for real-world data conditions.
Execution can be gated by RBAC, approvals, policy checks, and human-in-the-loop review. A decision can include evidence, owner, approval state, execution status, and audit history before any system action is triggered.
MCP support lets agents connect to compatible tools and data sources through a shared protocol — often described as "USB-C for AI." This reduces custom integration work and makes it easier to extend AeroGenie across enterprise systems.
AeroGenie can work with structured data, unstructured documents, large tables, manuals, catalogues, SOPs, contracts, sensor feeds, external signals, and live system data. It is built for mixed enterprise environments where the full decision context rarely lives in one place.
Agents are used to execute pieces of the workflow: retrieving evidence, preparing actions, routing approvals, assigning tasks, updating connected systems, and monitoring follow-through. They are not free-running bots; they operate within permissions, policies, and approval gates.
Yes. AeroGenie is designed to work with cloud or local LLMs. Teams can tune agent behavior with custom instructions, choose model providers based on performance or security needs, and adapt deployment patterns by industry or customer environment.
AeroGenie can preserve the question, inputs, assumptions, evidence, options, approvals, agent actions, and execution history. Hashing helps identify and verify decision state, so teams can review what happened, why it happened, and what changed over time.
Better Decisions. Flawless Execution.
Connect your systems. Evaluate tradeoffs. Coordinate execution. Make critical decisions in seconds instead of hours.
