Five things I'd build at MIC in the first 90 days.
A working plan rather than a pitch. Three client-facing pilots mapped to ASBAS Round 3 pillars, two internal ones that let MIC eat its own cooking. Each with a problem, an approach, and a 90-day target you can hold me to.
ASBAS Digital Solutions Round 3 starts 1 July 2026, and for the first time AI and emerging technologies is one of the five funded priority areas. MIC has already positioned for it — the March 2026 Small Business AI Readiness Report, the AI Growth Series, the Cremorne move, the "Great ideas. Greater impact." line. The hire that lands is not "add AI to the program." It's "help us build credible AI advisory capability while the sector is asking for it."
What this role genuinely adds in this moment is less about AI literacy — it's everywhere now — and more about moving SME owners from curiosity to a working result they can run on Monday.
The plan
Five opportunities I'd pursue.
Three client-facing pilots and two internal ones. Tap a row to expand.
ASBAS pillar: AI & emerging technologies
Problem. Owners are AI-curious but stuck. Most arrive having heard "you should be using AI" with no path from there to one tool actually running in their business. Generic AI workshops widen the gap because they show possibilities, not next steps.
Approach. A repeatable 1:1 format (with a workshop variant for cohort delivery):
Half-hour intake. What does this owner do day-to-day, what costs them time, what would they happily delegate to "a fast intern who's also a confident liar"?
Pick one or two tools that fit the actual workflow — booking + customer enquiries, AI-assisted email and content prep, doc summarisation via NotebookLM, lightweight automation via n8n / Zapier / Make.
One-page action plan, same week. What to install, the first prompt to run, failure modes to expect, a check-back date.
30-day follow-up. Is it actually running, did it save the time we thought, what's next.
90-day target
Of the first ~20 pilot clients, ≥70% have one AI tool in genuine weekly use (not a one-off), and ≥50% can name a specific time or money saving. One-page anonymised case studies become teaching material the rest of the team can use.
Why I'm well placed. Not a marketing-background advisor learning AI; an engineer who built AI in production. At Silvatron I trained a cross-functional team to 3–5x efficiency with AI workflows. The "brilliant fast intern who's a confident liar" framing is mine — it does the demystification job in one line and tends to be repeated by the room.
ASBAS pillars: AI & emerging tech + Cybersecurity
Problem. SME owners are pasting customer data, draft contracts and pricing into chatbots without knowing where the data goes. The cyber pillar and the AI pillar currently live in separate sessions. Owners need them as one conversation.
Approach. A 90-minute workshop — "What to use, what not to paste, where your data goes" — with concrete decisions, not theory:
Which tools meet basic privacy obligations for an Australian SME.
What data should never go into a hosted LLM.
Where Australian-hosted alternatives sit, and when they're worth it.
The MFA / backup / scam-awareness baseline that has to be in place first.
90-day target
Run the workshop three times (Cremorne in-person · Regional Roadshow · Thrive Online). Each participant leaves with a one-page AI hygiene checklist. ≥40% report having changed one practice within 30 days, measured via a short post-event survey.
Why I'm well placed. My Monash IT major is Computer Network Security — the same pillar MIC already runs, not a topic I'd be learning on the job. I've built systems where data residency mattered (a Victorian Government agency engagement under Silvatron Pty Ltd; solved with AWS Bedrock in Melbourne). For this workshop the framing is "what an SME needs to know," not the architecture.
ASBAS pillar: Social media, digital marketing, selling online
Problem. Most marketing advice SMEs receive is generic — "post more", "do SEO", "build a funnel". What owners actually need is a teardown of their site, their ad account, their funnel, with a prioritised three-item list to act on this week.
Approach. 60-minute 1:1 teardown sessions with a fixed structure:
Landing-page review — does the offer match the ad?
Ad-spend mix and creative review — is the money going where it should?
Email / follow-up — what happens between interest and purchase?
Output: three-item, ranked action list for this owner.
90-day target
Run ≥30 teardown sessions. Track which actions clients reported back as completed; aim for ≥60% reporting at least one completed action within 60 days.
Why I'm well placed. Real e-commerce P&L work. At Fujian Footwear (Australia) I drove +20% e-commerce revenue in-house: Meta Ads, SEO, GA4, Looker Studio, four brand sites (ishoes.com.au, justbee.com.au, pandaslippers.com.au, fujianfootwear.com.au), plus managing the outsourced agencies and keeping them honest. Not slideware — actual revenue.
Internal · MIC operations
Problem. High-volume 1:1 advisory plus Round 3 outcome reporting is a lot to manage by hand. Advisors lose hours per week to admin, and outcome data ends up reconstructed after the fact. Round 3 reporting will get more rigorous, not less.
Approach. A small intake-to-reporting pipe — the same shape we'd advise an SME client to adopt:
Public intake form (Tally or Airtable) capturing the basics plus the advisory area requested.
Airtable (or HubSpot, if MIC's already there) as the lightweight CRM / tracking layer.
Cal.com or similar for scheduling, with automated confirm / reminder / follow-up emails.
A simple outcome-tagging field per session so funder reporting is a saved view, not a quarterly assembly.
Built incrementally on what MIC already runs (Asana for hiring, Webflow site, Humanitix for events). The goal is not a new platform; it's removing the manual seams.
90-day target
Pilot on the advisor cohort I'm part of. Cut per-advisor admin time per session by an honest 20–30%, and make Round 3 quarterly reporting "press export" rather than "spend the day in spreadsheets." The pilot itself becomes a case study clients can see.
Why I'm well placed. I've built the same shape of pipeline for myself and for clients (n8n + CRM + automated comms + dashboards). The judgement here is mostly what not to add — keeping the seams visible so a real human can intervene where the human moments matter.
Internal · MIC marketing
Problem. MIC's blog is already AI-focused, but content production is currently per-piece. There's more value left in a structured pipeline that turns one good post into three or four pieces of channel-ready material — without losing voice.
Approach. A four-step workflow:
Research brief — one page: question + audience + angle. ~10 minutes per piece.
AI-assisted draft — from credible sources via NotebookLM or equivalent, with citations.
Human edit pass — voice, accuracy, "does an owner actually want to read this," banned-phrase scrub. Non-negotiable. This is where the trust is.
Repurpose — LinkedIn post, email summary, workshop-slide bullet, newsletter line, all from the same source.
This roughly doubles output without doubling effort, keeps voice consistent, and gives me a live demo I can show in workshops: "this is the exact workflow I'd teach you, and yes we use it ourselves."
90-day target
Cadence rising to roughly 2× current without a quality drop. A documented voice checklist and banned-phrase list (drawing on what the content team already does in practice).
Posture
My first 30 days.
Listen before changing. The temptation in this role is to ship five things in the first quarter. The right move is to ship two well.
01
Sit in on advisory sessions across the five pillars to learn the actual client conversation, not the brochure version of it.
02
Read the Round 3 reporting requirements end-to-end with whoever owns them, so the internal pilot is designed from real funder needs, not a generic template.
03
Spend time with the content team to learn the voice from inside, not from outside grep.
04
Propose: one client-facing pilot (likely "AI Starter") + one internal pilot (likely the intake-to-reporting pipe). Small, measurable, time-boxed.
Risks
What I'd actively manage.
A people-reading hire will look for these; flagging them up front.
Don't replace the role with tools.
Tess's psychology background means the human read of a client is prized for good reason. AI augments listening; it doesn't replace it. Every internal automation here needs to preserve the human moments owners actually came for.
AU English and plain language always.
No "in today's landscape," no "synergy," no "actionable insights." Voice is part of the product, and MIC's voice is already good.
Confidentiality is a habit, not a slogan.
Examples from my own work are described in general terms — the Victorian Government engagement under Silvatron carries protection obligations I respect carefully. That habit itself is relevant when advising clients on data and privacy.
One pilot at a time.
The internal openings are real, but the temptation to ship five at once is exactly what overwhelms small teams. One client pilot + one internal pilot, measured, then the next.
Deliverables
What I'd bring or build in week one.
01
One-page "AI Starter" worksheet for the 1:1 format (intake → recommendation → first prompt → check-back).
02
AI hygiene checklist for the "Safe AI" workshop, in MIC voice.
03
Funnel teardown template (landing → ad → email / follow-up) for the digital-marketing 1:1s.
04
Lightweight intake + Cal.com booking wired to advisor calendars, with the outcome-tagging field that makes funder reporting trivial.
05
Voice checklist + AI-assisted content workflow for the blog and channels.
Each of these is a deliverable I can show by end of week one — not just a plan.
Not just a plan
One I've already built — talk to it.
The "AI Starter" format above isn't theory. Here are two working voice agents I built for this application with ElevenLabs — each has a knowledge base, a booking action, and a warm, plain-English manner. One shows how MIC's own advisory line could sound; the other is the kind of after-hours assistant I'd help a Digital Solutions client stand up in a 30-minute session.
Pick an agent, then look for the call button.
When you reach this section the demo goes live and a round call button appears at the bottom-right of your screen. Tap it, allow your microphone, and start talking. Nothing is recorded or stored by me.
Demo built by Demi Thathsara with ElevenLabs — not affiliated with Melbourne Innovation Centre. "Book a session" opens my Cal.com. The small-business agent is a fictional sample (Harvest Lane Café).
Same agent, reskinned per client
Café · bookings
Hours, menu and dietary questions; take a table booking.
Retail · returns
Sizing, stock, order status and returns — after hours.
Clinic · reception
Appointment booking, what to bring, triage to a human.
Trades · quotes
Capture job details and contact, book a quote visit.
Salon · scheduling
Services, pricing ranges, book or reschedule.
Same build, different knowledge base. That's the repeatable thing — not a one-off.