Put AI to work
in your operations.

Agentic automation running in production, with returns a CFO can see. Built by senior operators and specialist AI builders who have run this model inside real businesses, on real P&Ls.

Book a 30-minute call See how we work

Sound familiar?

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

01

“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.

02

“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 your board will get behind.

03

“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.

04

“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 your team steps 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, then proves it: a scan for friction, repeated work and unmanaged spend, then a focused assessment of the highest-value opportunity. You leave with a business case your CFO can trust, a 90-day plan, and a working prototype of one quick win. Yours to keep, ready to act on from day one.

From $1,750 fixed scope
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 built to your data sovereignty, privacy and protection 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

Client engagements

Work we have put into production.

Examples of AI doing real work inside real operations. One method every time: find the work worth automating, build it to run, and prove the return. Diagnose, Build, Run.

Scattered envelopes aligning into one ordered row flowing toward a glowing copper point
Customer operations · inbound triage

Mail that finds its owner.

Issue
Years of growth scattered customer email across dozens of aliases. Invoices and enquiries landed where nobody was looking.
Solution
One agent reads every inbox, triages each message, answers the routine ones, updates the CRM, and redirects mail from dead aliases with a ticket.
Result
One triaged flow with a clear owner, instead of a dozen blind spots.
Crumpled notes and paper ribbons flowing into a bound proposal document with a copper band
Sales operations · proposals and SoW

Proposals that draft themselves.

Issue
Sales engineers lost days turning call transcripts, emails and notes into SoWs and proposals.
Solution
An agent drafts a structured SoW and proposal from the deal's own inputs, in the company's voice, for the rep to shape and price.
Result
First drafts in hours, not days. Reps selling instead of formatting.
Newsprint fragments feeding a copper engine block that fans pages out to publishing channels
Marketing · content and thought leadership

Content that shows up in answers.

Issue
An industrial IoT business knew it should be publishing, but content kept losing to billable work.
Solution
An agent tracks industry trends and publishes search and answer-engine pieces straight away. Thought-leadership articles go to a thought leader to approve first.
Result
A steady cadence that ranks in search and shows up in AI answers.
White telephone handset with concentric rings, the outermost glowing copper, beside a calendar grid
Customer service · voice agent

Calls that never ring out.

Issue
A busy pool shop kept missing calls, bookings and routine questions while staff served the counter.
Solution
A voice agent answers every call, books and reschedules jobs, handles changes, and answers the common questions, handing off when needed.
Result
The phone gets answered on the counter or after hours. No more voicemail.
Three practice targets with dart groupings tightening to a copper bullseye
Sales enablement · coaching

Mistakes that never meet a buyer.

Issue
New reps take months to get sharp, and live prospects became the practice ground.
Solution
Pitch Perfect takes a prospect's LinkedIn profile and a scenario, plays the buyer, and scores the rep against the sales process.
Result
Reps rehearse on an agent, not real buyers. Managers coach without sitting in.
A towering backlog of NDA contracts beside a copper approval stamp and a row of cleared documents
Commercial and legal · contract review

Contracts that clear themselves.

Issue
Low-value NDAs tied up the same small legal team the big deals were waiting on.
Solution
A review agent checks each contract against the client's criteria, flags anything off-policy, and fast-tracks the low-value ones. It never signs.
Result
Routine agreements clear same-day. The team focuses on real exposure.

Different problems, one method. If any of this looks like a day in your business, that is the conversation to have.

Book a conversation
Richard Duggan, founder of StratumFlo

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

The cost of waiting is already on your P&L.

Every month this work stays manual, you lose time, margin and opportunity. Give us thirty minutes. We'll show you where AI could earn its keep, what it would take to put it to work, and whether the numbers stack up. No pitch.

Book a conversation