At a glance
- Company
- Zeyra Pty Ltd. ABN 20 700 018 417.
- Tagline
- Build the company AI makes possible.
- What we do
- We help businesses build their own AI operating system, so their people can focus on the craft and hand the chores to AI.
- Founder
- Alex Lehwaldt
- Based in
- Melbourne, Australia
- Contact
- human@zeyra.au
AI use is scattered across the business.
Tools, prompts and useful experiments often sit with individuals. Knowledge stays scattered, and the wider team keeps repeating the same preparation.
You might recognise this: You’ve rolled out an AI tool, and the work still runs the way it did. Your people use AI on their own accounts, with their own prompts. A few people are flying with AI. What they’ve built lives in their own chats. You’ve run pilots, and they haven’t left reusable assets or a clear next decision. You want to move fast without tying the business to one vendor.
With an AI operating system, your company’s knowledge becomes a working asset.
An AI operating system gives your people and AI shared knowledge, reusable methods and clear standards. It lets AI find the right material, prepare drafts and run routine checks.
We build this into your tools, starting with one valuable workflow. Your people guide the work and spend less time searching, briefing and setting up each job.
Working in separate chats
Without maintained shared instructions, people repeat the setup for each job. Context, Method, Checks. People gather the background again. The method is explained for each new task. Useful instructions stay in individual chats. Changing tools can mean rebuilding the setup.
With an AI operating system
Shared knowledge and methods, ready for the next job. Ways to start: Chat: Ask in conversation; Agent workspace: Work alongside an agent; Event trigger: A new file, message or record; Background run: On a schedule. The work to be done: Proposal, Report, Brief, Analysis, Onboarding. AI operating system: What your business knows: Context, past work and examples; How you do the work: Methods and reusable instructions; What good looks like: Standards, checks and approval points. Connected tools: Connections to your tools; Documents, email, CRM. AI models: Choose models for the work.
A proposal, from brief to ready to send
An illustrative workflow: AI prepares the draft using your past work and method. Your expert makes the judgment calls. A request arrives: A client asks for a proposal. → AI finds the past work: The closest past proposals and the client background. → AI drafts with your method: Your structure, your pricing logic, your tone. → Checks run: Against the standard your team set. → A person decides: Your expert makes the final edits and sends. Approved corrections feed back into the shared knowledge and instructions, ready for the next proposal.
Less chores. More craft.
What could your people’s time be worth when AI handles the chores?
Chores: time saved
People doing repeat preparation: 5 (range 1 to 500; step 1). Hours each could recover per week: 4 (range 0 to 40; step 0.5). Cost of an hour of their time, A$: 150 (range 0 to 2000; step 10). Hours freed up per year: 920. Cost of that capacity: A$138,000.
Craft: time reinvested
Value an hour of their craft creates, A$: 400 (range 0 to 5000; step 10). Assumed value uplift with AI: 1.5 (range 1 to 10; step 0.5). Potential annual craft value: A$552,000.
Calculator logic: annual hours = people × weekly hours × 46 working weeks. Cost of that capacity = annual hours × hourly cost. Potential annual craft value = annual hours × hourly craft value × assumed uplift. The figures above are the calculator’s starting values.
Three ways we can help.
Consulting
You might recognise this: You’re asking where your people should spend their time as AI takes on more of the work. You want to reshape the company around AI, with the roles and skills to match. You need a business case your partners or board will back. What we do: A people and AI plan: where AI does the work, where your people add the most, and the skills to build; An AI audit; A business case. Quoted after a discovery call.
Build
You might recognise this: Your team repeats a job every week, and you think AI could take on much of it. A proposal or report takes days to prepare, and the method lives with a few people. You’ve tested an idea in a chat and want it running in your team’s tools. What we do: Proof of Concept; Working Workflow; Blueprint and Quote, leading to a Full Build. Packages from A$9,950 + GST.
Embedded support
You might recognise this: You want someone leading AI in the business without a full-time hire. Your team has the tools and needs training and support to use them well. You have a backlog of AI ideas and want steady progress on it each month. What we do: A fractional AI lead; Team training and support; One build a month from an agreed scope and backlog. Quoted after a discovery call.
Not sure which fits? Book a 30-minute call with Alex to choose a useful starting point. Book a discovery call: https://calendar.app.google/f5g8hRCouna8gWvJ6
How we build your AI operating system.
Start with one valuable workflow. We build it on your material, test it with your people and use what we learn to choose the next step.
Select
We pick the job with you in the first call, and define what good looks like with the person who knows the work.
Build
We organise the knowledge the job needs, write the method as instructions and set the checks, on your material.
Refine
We test the workflow on real work with the person who knows it, refine the result and compare the effort involved.
Extend
We add approved improvements to the shared knowledge and methods, then build the next workflow from that foundation.
What your business keeps
Knowledge you can reuse. Past work, methods and approved corrections give the next workflow a stronger starting point. A foundation you own. Your knowledge and instructions stay in files you control, with a documented setup. Room to change tools. Portable files let you carry your knowledge forward. We adapt and test the workflow on the new setup.
Case studies
Knowledge systems, agents and workflows we’ve built.
An early-warning system for every live project
Project agents. A pilot AI agent suite and leadership app that brings emerging project risks into one clear view. Built to help leaders spot patterns, focus attention and act before issues grow.
Tools: Claude Code, Codex, Claude Managed Agents, Slack, Microsoft 365.
Company knowledge, organised for AI
Knowledge base. Company methods, examples and project history gathered into a shared knowledge base and connected to Claude. It gives people and agents a common foundation to find past work and understand how the company operates.
Tools: Claude, Microsoft 365, Claude Code.
Company knowledge that improves through use
Knowledge agent. A Slack agent that puts company knowledge within reach. The team’s questions and feedback help fill gaps and improve the knowledge base, so useful answers become a shared asset that people and agents can build on.
Tools: Claude Managed Agents, Slack, Microsoft 365.
One AI platform for the whole team
Platform rollout. A tool comparison and company-wide move to one AI platform. Shared rules for data and features, a fast-start guide and a phased plan for connecting documents, email and chat.
Tools: ChatGPT, Claude.
A map of where AI can create value
AI roadmap. A map of services, processes and AI opportunities. Each use case is matched to an approach, from better knowledge to reusable instructions or an agent, and organised into a roadmap.
Tools: Claude.
Building the team’s ability to work with AI
Team enablement. Practical training and ongoing support across prompting, custom GPTs, reusable skills and the company’s AI system. Built around the team’s own work, helping people develop the confidence and skills to create, use and improve AI workflows.
Tools: Claude, ChatGPT.
About Zeyra
Zeyra is an applied AI company founded by Alex Lehwaldt. It helps businesses build AI into the work their people do every day.
Alex brings fifteen years in consulting and technology, including two years building an AI operating system inside a consultancy. That background shapes how the work is delivered: choosing work that is worth automating, holding it to the standard your clients expect, and helping your team adopt what’s built.
Clients work directly with Alex, from choosing the first job through design, building, testing and helping the team use it.
Our network
We’re building a network of independent specialists who bring different skills and perspectives to applying AI in business. If you’d like to join our network, get in touch: email human@zeyra.au with the subject "Joining the Zeyra network".
Questions about working with us
How much does it cost, and how long does it take?
You’ll have an agreed scope, price and timeline before work begins. Build packages show a starting price, so you can see where to begin. We quote for your specific requirements, including consulting and embedded support.
What do you need from us?
One person who knows the work and can help shape it, plus relevant examples, data and documentation. A Proof of Concept asks for about three hours of their time; a Working Workflow involves about twelve hours across the team. System access and support from your IT team or developers may also be needed, depending on the scope. Tool licences and usage are separate.
How do we find out whether AI can do the job?
AI’s capabilities vary by task. A Proof of Concept tests what is possible with your work and material before you commit to a larger build. You get a working test, the findings and a clear recommendation. If the result you want is not achievable with the approach tested, we’ll explain why and whether another approach is worth exploring.
How do we choose the job?
In the discovery call, together. Good first jobs come up often, have examples to learn from and have a result someone can judge, such as proposals, research briefs and recurring reports.
Does our knowledge need to be organised first?
No. We organise the material one job needs as part of the build. The rest follows as you add more work.
Is this technical?
We use the simplest tool that meets the standard, usually one you can already buy. A Proof of Concept runs on documents you hand over, with no access to your systems.
Can we use our existing tools?
We start with what you already use and check what the workflow needs. Any additional tools or connections form part of the agreed scope.
What do we own?
Your company knowledge and the methods and workflows we develop for you. We document the setup so you can maintain it, extend it and change partners. Third-party tools keep their own licences and terms.
Who keeps it up to date?
Your team, with the operating guide we leave. Each build names who owns the knowledge, the instructions and the checks, and how changes are approved. Embedded support can take this on if you want help.
What happens after the first build?
At handover we recommend the next step: use it as it is, a Working Workflow, a Full Build, or stop. Your team keeps the files either way.
How much can an agent do on its own?
That depends on the task and the permissions you give it. We agree which steps can run automatically and which actions need a person’s approval.
How do you handle access to our information?
We identify the information each workflow needs and agree which tools and agents can access it. Access permissions and the chosen providers’ data settings form part of the setup.
What does Zeyra mean?
Zeyra brings together zero and era: the start of a new age. It reflects our belief that we’re still at the beginning of discovering what people and AI can build together, with plenty of room to shape what comes next.
It also sounds like someone’s name. There’s warmth to it, a little edge, and something slightly unfamiliar. You could imagine meeting someone called Zeyra, or giving that name to an AI you work with every day.
That character suits the company we’re building: curious enough to explore what’s possible, and someone you’d want beside you as you figure it out.
You’ve started with AI. Now build the company around it.
In a 30-minute call, Alex will help you see where AI can take on the work, where your people add the most, and what to change first.
Book a discovery call: https://calendar.app.google/f5g8hRCouna8gWvJ6. Prefer to write directly? human@zeyra.au.
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