StratumFlo | AI automation and AI operations consulting, Sydney

Sound familiar?

Every leader we talk to is asking the same four questions.

“Can we trust it?”

What happens when an agent tells a customer something wrong, takes the wrong action, or touches data it shouldn't? Trust comes from clear ownership, guardrails, human oversight and an audit trail. Put those in place, then run them with the discipline of any other business process.

“Where do we even start?”

Everyone has an opinion. Vendors, podcasts, LinkedIn. What you don't have is a clear path from where you are today to something working, and a first step you can defend to your board.

“Why didn't we see the benefits?”

Subscriptions bought. Demos applauded. Six months later, nothing changed. The technology wasn't the problem: nobody owned the outcome, nothing measured the return, and AI never made it into how the business actually runs.

“Do we have the people for this?”

Your team is flat out and nobody on it has built an agent. You don't need to hire an AI department. You need the right people to get it working alongside your team, then leave you with something you can run.

What we do

AI that earns its keep.

Running in production. Proven in the P&L.

01 · Operations automation

Give your best people their time back.

Quotes, proposals, posts, emails, reports. The repeatable work that eats your best people's days and needs none of their talent.

We turn it into governed, agentic processes that run reliably inside your operation. Your team keeps control, the work gets done, and the hours go back to higher-value work.

We've run these automations in production for years. Not experimenting. Not piloting. Running.

Proposal pipelineThis week

Acme Logistics · RFP responseDrafting

Harbour Health · Renewal packReview

Delta Utilities · Contract checkQueued

Hours returned this month

61 hrs across 3 workflows

02 · Customer service & voice

Every missed call is a missed opportunity.

After hours, during busy periods, or when your team simply can't get to the phone, enquiries go unanswered, and customers go elsewhere.

Our voice and chat agents answer every time. They qualify the lead, book the appointment, handle the routine questions and hand off cleanly when a human is needed.

Connected to your calendar and CRM. Governed like a real process. Available when your customers are.

Voice agent · LiveToday

5:42pm · Booking enquiryMeeting booked ✓

6:15pm · Pricing questionQualified → CRM

8:03pm · Support requestHanded to human

Don't take our word for it. Call our agent. · Demo landing here soon

03 · AI operating model

AI that is owned, governed and accountable.

Most AI initiatives don't fail because of the technology. They fail because nobody runs them like a business process.

We put the operating model around your AI: who owns each agent, what data it can see and where that data lives, how performance is measured, when humans step in, and how you prove it behaved as intended. Data security, privacy and sovereignty are design decisions here, not afterthoughts.

Delivered as strategic advisory, or as a senior executive working inside your team part-time.

Operating cadenceQ3

Agent ownership & guardrailsSet

Evidence chain & audit trailIn build

Workflow redesign · finance opsNext

Quarterly value reviewScheduled

04 · AI economics & optimisation

Manage the cost. Prove the return.

AI spend grows quickly. Proving what it delivers is harder.

We put commercial discipline around your AI investment: licence and vendor rationalisation, a clear view of where the money goes, and reporting your CFO can trust.

FinOps and TBM discipline applied to the new AI spend layer. Unit economics down to the token: what each automated task costs to run, what it returns, and how that moves as volume grows.

AI that demonstrably pays for itself.

AI spend · unit economicsMonthly

$3.1k

AI spend / month

$14.6k

labour value returned

4.7×

return on AI spend

$0.92

cost per proposal draft

How we work

Fixed price. No black box. No lock-in.

Step 1 · 2 to 3 weeks

Diagnose

A short, fixed-price engagement that runs wide, then deep. First, a scan across your operation for friction, repeated work and unmanaged spend. Then a focused assessment of the highest-value opportunity. You get a written report, a quantified case and a sequenced plan. Yours to keep, ready to act on from day one.

$4,500 fixed, all-inclusive

Step 2 · Fixed price

Build

We design, build and deploy the highest-value item from step 1, working closely with your team.

The workflow comes first: built lean, tested against real work, tuned until it runs right. Then we wrap the governance and observability around it: security, monitoring, audit trail, and data handling designed around your privacy and sovereignty requirements. Enterprise grade.

Scoped & fixed quoted from the diagnosis

Step 3 · Monthly

Run

Going live is the start, not the finish. Workflows change, models drift, costs move, and automation nobody watches decays.

We run what we build: monitoring, tuning, governance and reporting, with a clear monthly view of what your AI did, what it cost and what it returned.

You keep the ownership. We keep it working.

Monthly managed service, advisory or fractional

Who you're working with

Senior operators. Specialist builders. One accountable team.

StratumFlo pairs senior operators with specialist AI practitioners to solve real business problems, from strategy and operating model through to build, deployment and governance.

The firm is led by Richard Duggan, a technology executive, founder and board director who has spent his career building, running and transforming businesses: senior and executive roles across Cisco, HP, Ingram Micro and Telstra; multiple business units at NEC Australia; CEO of a transport-safety SaaS company; COO of a global FinOps and ITAM managed services business; founder of his own health-technology startup; and non-executive director roles across SaaS, manufacturing and road freight.

That breadth matters. We have sat in the executive seat, the boardroom and the operator's chair, so we know AI has to do more than work in a demo. It has to survive budgets, governance, adoption and the realities of running a business.

For the past three years, Richard has run technology businesses on an AI-first operating model, putting agentic automation into production across pipeline generation, proposals, contract review, delivery, analytics and customer reporting, with the governance and commercial discipline that executives, boards and auditors require.

For each engagement we assemble the right specialist AI engineers, automation practitioners and domain experts: sized to the problem, working alongside your people, under one delivery model, one governance framework and one point of accountability. You get senior experience on the problem, specialist capability where it matters, and a team built around the work, not a consulting pyramid you have to pay for.

$380M

managed services scaled across Asia Pacific

$140M

new-venture order backlog built from concept

3 yrs

AI-first operating model, in production

Put AI to work
in your operations.