Build AI agents your organisation can actually run.

We design, build, and deploy AI agents for real operational workflows — across service, finance, sales, reporting, and knowledge work.

Bring us the business problem. We’ll help turn it into a production agent.

Supporting organisations across financial services, professional services, manufacturing, and the public sector. Based in Australia. Working globally.

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running on: claude · swappable

AI that does the work, not just the demo.

Most AI work gets stuck between the demo and the operation. Pilots that do not integrate. Data too scattered to trust. Risk and legal that will not sign off. No production support model. Vendor lock-in nobody asked for. The result is the same: the AI works in a meeting, then never reaches the work.

The model is not the system.

The model is one layer. The system is workflow, data, integrations, controls, audit, adoption, and ownership. That is where AI either runs or breaks, and where the durable value lives.

Architecture diagram showing client systems connected through a data and integration layer into an agent workflow layer, then through human approval gates. The agent workflow layer calls a swappable model and vendor panel containing Claude, OpenAI, Microsoft Copilot, Lyzr and custom providers. A foundation strip beneath everything carries the audit trail and governance layer.

We architect for the system, so when the model layer changes, your business does not.

What we do

Strategy without delivery is a slide deck. Delivery without strategy is a tool install. We do both — built with your team, not around it.

Find the right work.

We work with executive teams on where AI actually moves the numbers — and where it won't. A short, honest read of your operations, a ranked shortlist of programs worth doing, and a roadmap your board can stand behind.

Use-case prioritisationRoadmap designBoard-pack scopingDiagnosticValue mapping

Build the workflows that do the work.

Production agent systems inside your real operations. Designed for the workflow, not the demo. Handed over when the work is self-sustaining.

Agent systemsWorkflow automationTriage & routingReconciliationDrafting & retrievalOrchestration

Engineer the foundations underneath.

AI is only as good as the data underneath. Data strategy, engineering, governance, BI, and integration — the foundations that make AI trustworthy.

Data engineeringIntegrationsGovernance designBIIdentity & permissions

Embed the operating model.

We stay close through the adoption curve. Tuning, support, capability transfer, and the governance rhythms that keep the work healthy.

AdoptionRunbooksCapability transferGovernance rhythmsProduction support

Where we help

These are the sentences our clients usually say on the first call. If one of them sounds like you, we can probably help.

Our AI pilots never made it to production.

— heard in a first call

Our data is everywhere and we don't trust the reports.

— first-call, finance lead

Our back office is drowning — reconciliation, invoicing, triage, handoffs.

— first-call, COO

Our ERP is 70% of what we need, and the last 30% costs us every day.

— first-call, services business

We want AI, but we can't tell what's real and what's vendor noise.

— first-call, executive team

We need an AI strategy the board will actually approve.

— first-call, managing director

What we build

Not a catalogue. A signal. Every engagement is shaped around the business — and around what your team is already strong at.

Finance reconciliation agent

ProblemManual matching across bank feeds and ERP.

WorkflowReads feeds, matches records, highlights exceptions.

SystemsXero, NetSuite, Bank APIs.

HumanApproves exceptions only.

Service triage and routing workflow

ProblemSupport desk swamped by manual categorization.

WorkflowReads inbound, scores intent, routes to team, drafts reply.

SystemsZendesk, Salesforce, Internal KB.

HumanReviews draft, hits send.

Sales research and scoring workflow

ProblemReps spend hours researching instead of selling.

WorkflowScrapes news, 10-Ks, and CRM history. Scores lead.

SystemsHubSpot, Web Search, LinkedIn.

HumanUses the brief for the call.

Executive briefing agent

ProblemToo much noise, scattered reporting.

WorkflowSynthesizes daily metrics, flags anomalies, drafts summary.

SystemsPowerBI, Slack, Email.

HumanReads the brief, makes decisions.

Knowledge and policy routing agent

ProblemPolicies are buried in SharePoint.

WorkflowAnswers natural language queries with cited policy excerpts.

SystemsSharePoint, Confluence, Slack.

HumanAsks the question, gets the answer.

The stacks we reach for most often.

Lyzr·Claude·OpenAI·Microsoft Copilot·Power Platform·Workato·Odoo·Custom stacks

How we engage

Short cycles. Working software every week. No rip-and-replace. Human-in-the-loop by design. Built with your team, not around them.

Diagnose

We map the real operational terrain with you — what data exists, what's missing, what's actually worth fixing. You get a written read, not a slide deck, and a shortlist of programs ranked by value.

Design

We scope the first program end-to-end: outcomes, workflow, data, integrations, controls, success criteria, run cost. Fixed-fee where the scope is clean; iterative where it isn't. Signed off together.

Deploy

We build alongside your team. Short cycles. Working software each week. Integrated with the systems you already run — not on top of them, not instead of them.

Embed and adopt

We stay close through the adoption curve: tuning, support, capability transfer, and the governance rhythms that keep the work healthy. Your team leads the operation. We stay as long as we're useful — and step back when we're not.

"Every engagement runs as one team: our in-house consultants, senior specialists we work with regularly, and your people. One lead, one contract, one delivery unit. No hand-off cliffs. Clear accountability throughout."

How we work.

No rip-and-replace.

We integrate with what you already run.

Human-in-the-loop where the stakes are real.

Agents draft. People approve.

Built with your team, not around it.

Capability transfer is a deliverable.

Architecture over models.

The system survives when the model changes.

Strategy without delivery is a slide deck.

We ship.

Step back when the work is self-sustaining.

No retainer dependency.

Governance and trust

AI breaks in production in ways it never breaks in demos. We build for that from day one — so your team can operate it with confidence.

—Approval gates on every agent action that touches production data or external systems.

—Full audit trail — every decision, every data read, every output, traceable.

—Tests and rollback plans before anything goes live. No silent failure modes.

—Human-in-the-loop by design where the stakes are real.

—Data residency, privacy, and vendor review aligned to your regulatory posture.

—No model lock-in. We build so you can swap providers without rebuilding the workflow.

—Capability transfer as a deliverable. Documentation, runbooks, and hands-on walkthroughs with your team — so ownership lives with you, not with us.

What's inside the Trust Pack:

Governance posture and approval-gate design
Security review FAQ and data-residency posture
Sample architecture for a production agent system
Capability transfer commitment and runbook approach

Request the Trust Pack →

Tell us where AI is stuck in your business.

Thirty minutes. We'll tell you honestly whether this is a problem we can help with — and if it isn't, who can.

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FAQ

We operate on fixed-fee for clean scopes and iterative funding for exploratory work. We do not use retainers. You pay for delivered systems and capability transfer.

We architect for the system, not the model. If a vendor changes pricing, terms, or degrades in quality, we can swap the underlying model without rebuilding the workflow.

We align to your regulatory posture from day one. We provide architecture documentation, data flow maps, and vendor compliance details to ensure your risk and legal teams can sign off.

We ship. Most strategy firms hand over a roadmap and leave. We build the agents, wire the data, and stay close through adoption — accountable alongside your team, not instead of it.

We're platform-fluent, not platform-loyal. We choose the stack after we understand the problem — not the other way round.

No. We're a consulting and delivery practice. We design, build, and support — your team operates. We'll stay involved as long as there's value in us being there, and step back cleanly when the work is self-sustaining.

Both. Most serious AI work depends on serious data work underneath. Our practice covers data strategy, engineering, governance, BI, and integration — delivered by our in-house team and senior specialists we work with regularly.

Yes. ERP and the systems that run day-to-day operations are still a core part of what we do — they're where a lot of AI value actually lives. We just don't lead with them.

Approval gates, audit trails, rollback plans, human-in-the-loop where it matters, and vendor and data-residency review up front. See the Governance section above.

Mid-market through to enterprise. We're most useful where operations are complex enough that AI has real leverage, and where someone in the executive team is willing to sponsor the change.

Australia. We work globally.