About Us
Aerosoft is an engineering partner for teams that need Autonomous AI Agent Engineering to operate inside real systems, not isolated demos. We build agent-driven automation and custom software that is designed for uptime, governance, and long-term ownership.
fragmented data, brittle workflows, manual approvals, and systems that were never designed for autonomous execution.
We built Aerosoft to deliver Autonomous AI Agent Engineering that reduces operational load without creating new risk. That means we approach every build as a system, not a feature. Inputs, permissions, failure modes, audit trails, cost controls, and clear ownership all exist from day one.
Enterprise buyers do not need a vendor that “builds something cool.” You need an Enterprise AI Implementation Partner who can align stakeholders, define hard requirements, and ship into production without treating your environment like a lab.
boundaries, and consequences
and those constraints matter
runbooks, & change management
posture cannot be an afterthought
Generative AI Solutions for Business only create value when they are connected to the decisions your company already makes. The work is not “add AI.” The work is to make existing workflows faster, more accurate, and more consistent under load.
Aerosoft builds Generative AI Solutions for Business around the practical questions that determine ROI:
Enterprise ROI is often locked behind older systems: ERPs, CRMs, ticketing platforms, internal databases, and workflow tools that were not designed to cooperate. Legacy System AI Integration is where many AI initiatives succeed or fail.
Identify system boundaries and integration constraints early
Create clear mappings between legacy data and agent actions
Design for partial adoption, so teams can roll out safely
Avoid “single point of failure” integrations that break operations
Teams often get stuck between prototypes and production because nobody owns the whole stack. Aerosoft delivers Full-Stack AI Product Engineering so your agents, integrations, and interfaces are built as one cohesive product.
Agent orchestration and tool use aligned to business processes
APIs and middleware to connect systems cleanly
UI layers where operators review, approve, and intervene
Logging, observability, & auditability for production operations
Deployment patterns that match your environment and release discipline
When you engage Aerosoft for Autonomous AI Agent Engineering, you should expect:
If you want a second opinion on feasibility, risk, or integration approach, we can run a short technical discussion. You will leave with clearer scope and a realistic delivery path.
Autonomy is scoped. We define what actions the agent can take, what requires approval, and what must stop and escalate. The goal is controlled execution, not uncontrolled automation.
We design permission models around least privilege, with explicit tool access, audit logging, and clear separation between read and write operations. This is part of the baseline architecture, not a post-build patch.
Yes. Legacy System AI Integration is a core delivery capability. We focus on stable interfaces, reliable data mapping, and fallbacks so production workflows do not become fragile.
Most engagements start with a scoped build plan: workflow definition, system boundaries, success criteria, and a delivery roadmap. From there, we move into implementation with clear milestones and operational readiness for launch.
You do. We deliver documentation, runbooks, and maintainable architecture so your team can operate and extend the system. Where ongoing support is needed, it is defined explicitly, not implied.
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