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Build the company AI makes possible.

We help businesses build their own AI operating system, so their people can focus on the craft and hand the chores to AI.

Book a discovery callSee how we help

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.

Chat 1
ContextMethodChecks
Chat 2
ContextMethodChecks
Chat 3
ContextMethodChecks
Chat 4
ContextMethodChecks
Chat 5
ContextMethodChecks
  • 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

  • ChatAsk in conversation
  • Agent workspaceWork alongside an agent
  • Event triggerA new file, message or record
  • Background runOn a schedule

The work to be done

  • Proposal
  • Report
  • Brief
  • Analysis
  • Onboarding

AI operating system

What your business knowsContext, past work and examples
How you do the workMethods and reusable instructions
What good looks likeStandards, checks and approval points
Connected toolsConnections to your toolsDocuments, email, CRM
AI modelsChoose 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.

  1. A request arrivesA client asks for a proposal.
  2. AI finds the past workThe closest past proposals and the client background.
  3. AI drafts with your methodYour structure, your pricing logic, your tone.
  4. Checks runAgainst the standard your team set.
  5. A person decidesYour 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
Hours freed up per year920Cost of that capacityA$138,000
Craft: time reinvested
Potential annual craft valueA$552,000

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.

Book 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.

Book a discovery call

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.

Book a discovery call

Not sure which fits?

Book a 30-minute call with Alex to choose a useful starting point.

Book a discovery call

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.

  1. Select

    We pick the job with you in the first call, and define what good looks like with the person who knows the work.

  2. Build

    We organise the knowledge the job needs, write the method as instructions and set the checks, on your material.

  3. Refine

    We test the workflow on real work with the person who knows it, refine the result and compare the effort involved.

  4. 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.

  • Project agents

    An early-warning system for every live project

    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.

    • Claude Code
    • Codex
    • Claude Managed Agents
    • Slack
    • Microsoft 365

  • Knowledge base

    Company knowledge, organised for AI

    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.

    • Claude
    • Microsoft 365
    • Claude Code

  • Knowledge agent

    Company knowledge that improves through use

    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.

    • Claude Managed Agents
    • Slack
    • Microsoft 365

  • Platform rollout

    One AI platform for the whole team

    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.

    • ChatGPT
    • Claude

  • AI roadmap

    A map of where AI can create value

    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.

    • Claude

  • Team enablement

    Building the team’s ability to work with AI

    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.

    • Claude
    • ChatGPT
Alex Lehwaldt, founder of Zeyra
Alex LehwaldtFounder, Zeyra

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.

Connect with Alex on LinkedIn

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

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

Prefer to write directly?

human@zeyra.au