LangGraph agentic orchestration
Stateful, resumable multi step workflows defined as explicit graphs rather than prompt chains. Every branch, retry, and escalation path is inspectable in code review.
AI Action
Your AI should do the work, not just describe it. We deploy autonomous agents and voice systems that answer calls, execute workflows, and stay accountable to a human.
Most enterprise AI stops at answering questions. The value is in what happens next: the order that gets placed, the job that gets scheduled, the caller who gets a resolution instead of a callback. Building agents that act requires the same transactional engineering discipline as any other enterprise integration, and that is precisely what most chatbot deployments lack.
Lexylon builds localised AI voice agents that answer your actual phone numbers: grounded in your company data, speaking your terminology, and auditable end to end. Behind the voice sits an agentic layer that can look up an account, raise a ticket, or move a booking, with every action logged and every transcript retained. Calls run over WebRTC and carrier telephony with audio processed in Australian regions, and the models doing the listening and speaking live there too, which keeps the Australian Privacy Principles satisfied rather than stretched.
Autonomy is engineered, never assumed. Agents operate through typed tool contracts with human-in-the-loop checkpoints at defined confidence thresholds, so routine work flows through untouched while consequential decisions escalate to your staff. The result is automation your operations team trusts, because they can see exactly what it did and why.
The proof
Stateful, resumable multi step workflows defined as explicit graphs rather than prompt chains. Every branch, retry, and escalation path is inspectable in code review.
A low latency speech pipeline covering transcription, generation, and synthesis, wired into SIP and PSTN numbers, and into WebRTC for live conversations in the browser and inside your apps, so agents answer wherever your customers already are.
Agents retrieve from the same private vector layer as our enterprise RAG architecture, so a voice agent quotes your current price list, not a hallucination.
Approval gates and escalation to staff at defined confidence thresholds. The agent drafts, a human approves, and the boundary between the two is policy you control.
Every action an agent can take is a schema validated API call with a full audit trail. There is no free text path from model output to production systems.
Voice, kept onshore
A voice is personal information the moment it is captured. Lexylon treats it that way: conversations are processed in Australian regions, transcripts stay under Australian jurisdiction, and no recording is ever handed to an overseas model to learn from.
Low latency voice sessions in the browser and inside your apps, with media servers in Australian regions. Call quality is engineered like a product feature, not an afterthought.
Transcription, generation, and speech synthesis all run in Australian regions. Nothing about a caller crosses the border, and the Australian Privacy Principles are met by architecture rather than paperwork.
Advanced iOS and Android applications where the assistant is part of the product: multilingual, so customers are served in the language they speak, on the device they already hold.
01
We define which decisions the agent may take alone, which require approval, and which route straight to a person. The escalation policy is agreed before any code is written.
02
Agents are replayed against recorded real interactions and edge cases before they touch production, with transcripts reviewed alongside your operations team.
03
Staged call volume ramp with live dashboards deployed on Vercel, 24/7 observability, and weekly accuracy reviews until the numbers earn full autonomy.
FAQ
In Australian regions, whether the conversation arrives over WebRTC or a phone carrier. Recordings and transcripts are stored onshore and handled under Australian Privacy Principles obligations.
The agents are multilingual by design, so customers are served in the language they call in, with English tuned for Australian callers. Language coverage is agreed per deployment.
Yes. We build native iOS and Android applications with the agent embedded over WebRTC, sharing the same knowledge, logging, and escalation rules as your phone line.
Yes. Our agents identify themselves at the start of a conversation, in line with the transparency expectations in the Australian Government's AI Ethics Principles, and a caller can always ask for a person.
The call is handed warmly to your team with the full context and transcript attached, at confidence thresholds you control. The caller never has to repeat themselves.
Engagement models
Voice agent deployments often start as a fixed module build, then move to time and materials as call volumes and workflows expand.
A stable squad of Lexylon engineers reserved for your roadmap, month after month. Predictable capacity, a predictable invoice, and a team that compounds knowledge of your business.
Pay only for the hours worked, at some of the most competitive rates in the Australian market. Ideal when scope moves, with timesheets you can read and question line by line.
A fixed price built up from an honest effort estimate in hours, module by module. You see exactly how the number was reached before you sign, and it does not move unless the scope does.
Contact
Your first discovery session is free. Tell us about your platform, your constraints, and where it hurts; we analyse the problem and come back with a proposed solution, no obligation.
Or email us directly at hello@lexylon.com