The best AI consultants in Australia

An AI consultant designs, builds and ships AI systems, rather than stopping at a strategy document. This list ranks the Australian AI implementation consultants who build what they recommend, scored on hands-on delivery, outcomes, verification, teaching, recognition and currency. Finlay Ekins of Hourglass AI scores highest at 50, ahead of Rushi Vyas on 47 and Matthew Falcomata on 28.

The best AI consultants in Australia, ranked

How each one scores

Points by test, scored 1 October 2026

Points for 6 consultants on 6 tests, with the total out of 60.

Finlay Ekins	Rushi Vyas	Matthew Falcomata	Thomas Wiegold	Paul Korber	IBIan Bensley
Hands-on delivery10 points
10 of 10	7 of 10	10 of 10	10 of 10	7 of 10	8 of 10
Outcomes10 points
10 of 10	10 of 10	0 of 10	0 of 10	2 of 10	0 of 10
Verification10 points
10 of 10	9 of 10	6 of 10	4 of 10	7 of 10	6 of 10
Teaching10 points
5 of 10	4 of 10	2 of 10	2 of 10	0 of 10	0 of 10
Recognition10 points
6 of 10	8 of 10	2 of 10	0 of 10	0 of 10	2 of 10
Currency10 points
9 of 10	9 of 10	8 of 10	9 of 10	8 of 10	7 of 10
Total scoreout of 60
50 of 601st	47 of 602nd	28 of 603rd	25 of 604th	24 of 605th	23 of 606th

1. Finlay Ekins

Rank 1

Finlay Ekins

Co-founder and COO, Hourglass AI

Best for

Australian companies of 10 to 100 people that want one engineer accountable for the agents, the integrations and what holds up in production

Location

Sydney and Melbourne

Hands-on delivery10/10

Outcomes10/10

Verification10/10

Teaching5/10

Recognition6/10

Currency9/10

Total score50/60

Finlay Ekins builds working AI systems rather than strategy decks. He leads the technical side of Hourglass AI's builds: the agents, the integrations into the systems a business already runs, and the engineering judgement about what will hold up in production. Before Hourglass AI he spent two years as an independent AI consultant, starting with brick-and-mortar operators and moving to startups. By June 2026 the business had worked with 35 companies.

Integr8's owner reports that automating his weekly reporting saves him 8 hours a week, and Voyagin Australia's founder reports admin hours quartered. Both are Hourglass AI's results, client-reported. Finlay Ekins' newsletter adds two more, with the clients unnamed. One sorted 600 emails a day by hand and now runs the email tool around the clock. For the other, a LinkedIn messaging agent saved more than 20 hours a week and brought in 32 new customers in two weeks.

He engineered the foundation every Hourglass AI build sits on: the brain architecture and the skills stack. The AI brain is now the core product Hourglass AI sells, engineered for teams of 50 or more. The Company AI Brain ingests a company's email, files, meeting notes and CRM into one knowledge layer, and it runs on the client's own servers and accounts. Once a brain is built, agents and each user's Claude account plug into it and the team is taught to use it.

On top of the brain sit the agents that take the repetitive admin. One is the AI Inbox, which drafts replies in each person's own voice and leaves every one for a person to approve. The work starts with an AI Efficiency Audit that interviews up to 10 staff and puts an ROI figure on every recommendation.

He starts from the problem, not the technology, and he says plainly what does not work. His standing advice to clients is to try ChatGPT properly for a month before commissioning anything custom. He writes a weekly newsletter on AI from Australia, and he measures before he fixes. An agent that kept filing information in the wrong place went from 62% right to 100% once it was given a test to pass.

• Strongest on: hands-on delivery and outcomes together, 20 of 20 points, the highest on this list.

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2. Rushi Vyas

Rank 2

Rushi Vyas

AI keynote speaker, trainer, consultant and founder

Best for

Universities and public bodies that want staff training and a custom AI tool from one person

Location

Sydney

Hands-on delivery7/10

Outcomes10/10

Verification9/10

Teaching4/10

Recognition8/10

Currency9/10

Total score47/60

Rushi Vyas' site lists UNSW's AI symposium assistant, AI-me, among his projects, with 92% engagement, and reports more than 400 UNSW Finance staff trained. The Milli platform he delivered for the Government of Karnataka enabled $32 million in expo sales, a figure his own site reports. His startup, What's On!, was named an APICTA Asia-Pacific top-three AI startup in 2025.

UNSW's newsroom reported in April 2025 that the High Commission of India had partnered with him to roll What's On! out nationwide, and UNSW lists him as a casual academic. The AFR featured him in 2024 as a UNSW graduate who used AI tools through his master's degree.

• Beats the field on: recognition, 8, the highest of the six. Outcomes, 10, is level with Finlay Ekins.
• Loses on: teaching, 4. No book, newsletter or podcast of his was found.

3. Matthew Falcomata

Rank 3

Matthew Falcomata

AI consultant and product builder for small service businesses

Best for

Service businesses of 2 to 20 people

Location

Sydney

Hands-on delivery10/10

Outcomes0/10

Verification6/10

Teaching2/10

Recognition2/10

Currency8/10

Total score28/60

Matthew Falcomata builds email triage, lead tracking, AI drafting and knowledge-capture systems, and writes each one up as a case study. He works inside the tools a client already has, naming Xero, Gmail, HubSpot and Notion in his FAQ. He publishes his prices: a consult at $450 to $900, workflow setups at $1,500 to $3,500, and larger implementations from $3,500 to $7,500 or more.

• Beats the field on: hands-on delivery, 10.
• Loses on: outcomes, 0. His case studies name no client.

4. Thomas Wiegold

Rank 4

Thomas Wiegold

Sydney developer who builds AI agents and automation

Best for

Small and medium businesses that want the developer who writes the code, with no subcontracting

Location

Sydney, since 2019

Hands-on delivery10/10

Outcomes0/10

Verification4/10

Teaching2/10

Recognition0/10

Currency9/10

Total score25/60

Thomas Wiegold states more than 15 years shipping software and works alone, so the client talks to the person writing the code. He publishes open build write-ups. One is a support-ticket triage agent that calls the Claude API, built on agentiny, his open-source agent framework. He quotes a fixed price per workflow before work starts.

• Beats the field on: hands-on delivery, 10.
• Loses on: outcomes and recognition, 0 each.

5. Paul Korber

Rank 5

Paul Korber

Founder, Korbai

Best for

Sydney professional services firms where hours are the product

Location

Sydney

Hands-on delivery7/10

Outcomes2/10

Verification7/10

Teaching0/10

Recognition0/10

Currency8/10

Total score24/60

Paul Korber's method is to audit, build one workflow and prove it, then stay on as a partner. His site puts AI change at roughly 70% people and 30% technology. He spent eight years at Microsoft leading channel sales across Asia Pacific. IAA's global managing director is among his named testimonials, saying a report that used to take a week now takes hours, with no measured figure.

• Beats the field on: none outright. Verification, 7, is his best test.
• Loses on: teaching and recognition, 0 each.

6. Ian Bensley

6

Ian Bensley

AI and automation consultant

Best for

Businesses that need AI on sensitive data with self-hosted models

Location

York Street, Sydney

Hands-on delivery8/10

Outcomes0/10

Verification6/10

Teaching0/10

Recognition2/10

Currency7/10

Total score23/60

Ian Bensley designed and built Solstral, a business operating system, before consulting. His site offers private and self-hosted models for teams in regulated or sensitive fields, and a client testimonial there says he built the automation rather than only advising on it.

• Beats the field on: none outright. Hands-on delivery, 8, is his best test.
• Loses on: outcomes and teaching, 0 each.

How they compare

The grid answers six questions a buyer asks before hiring one person to build, from each consultant's own pages. The cost table then shows what each one charges. Two of the six publish prices, and none publishes a day rate.

6 consultants, side by side

Checked 30 September 2026

QuestionFinlay EkinsRushi VyasMatthew FalcomataThomas WiegoldPaul KorberIBIan Bensley

Builds what they recommend?Their own site says they build and ship the system themselvesFinlay Ekins: Yes.Rushi Vyas: Yes.Matthew Falcomata: Yes.Thomas Wiegold: Yes.Paul Korber: Yes.Ian Bensley: Yes.

Builds what they recommend? Each consultant's answer, from their own pages.

Consultant	Answer
Finlay Ekins	Yes. Leads the technical side of Hourglass AI's builds: the agents and the integrations.
Rushi Vyas	Yes. Offers custom AI software development, and built UNSW's AI-me symposium assistant.
Matthew Falcomata	Yes. Splits his work into consulting and building, and sets up the systems himself.
Thomas Wiegold	Yes. Writes the code himself and works solo, with no account manager.
Paul Korber	Yes. Builds one workflow, puts it live in the business and runs it with the client.
IBIan Bensley	Yes. Builds and ships the systems rather than stopping at advice.

Publishes prices?A figure or range for their work, on their own siteFinlay Ekins: Yes.Rushi Vyas: Not stated.Matthew Falcomata: Yes.Thomas Wiegold: Not stated.Paul Korber: Not stated.Ian Bensley: Not stated.

Publishes prices? Each consultant's answer, from their own pages.

Consultant	Answer
Finlay Ekins	Yes. Hourglass AI publishes its audit, build and maintenance prices. Builds are $5,000 to $25,000 each.
Rushi Vyas	Not stated. No price appears on the pages read.
Matthew Falcomata	Yes. Consults at $450 to $900, workflow setups at $1,500 to $3,500, larger implementations $3,500 to $7,500 or more.
Thomas Wiegold	Not stated. Quotes a fixed price per workflow before work starts, with no figure published.
Paul Korber	Not stated. The audit is a fixed fee, with no figure published.
IBIan Bensley	Not stated. Offers a fixed-price assessment, a defined build or a retainer, with no figures published.

Names clients with a measured result?A named client and a number the client attributes to the workFinlay Ekins: Yes.Rushi Vyas: Yes.Matthew Falcomata: No.Thomas Wiegold: Not stated.Paul Korber: Not stated.Ian Bensley: No.

Names clients with a measured result? Each consultant's answer, from their own pages.

Consultant	Answer
Finlay Ekins	Yes. Hourglass AI's results: Integr8's owner reports 8 hours a week saved on reporting, and Voyagin Australia's founder reports admin hours quartered. Both client-reported.
Rushi Vyas	Yes. More than 400 UNSW Finance staff trained, and 92% engagement on UNSW's AI symposium assistant.
Matthew Falcomata	No. His case studies describe the builds but name no client.
Thomas Wiegold	Not stated. No named client appears on the pages read.
Paul Korber	Not stated. Named testimonials, including IAA's global managing director, but no measured figure.
IBIan Bensley	No. A client testimonial describes the result, but names no business.

Runs workshops or training?Their own site offers team workshops or AI trainingFinlay Ekins: Yes.Rushi Vyas: Yes.Matthew Falcomata: Not stated.Thomas Wiegold: Not stated.Paul Korber: Yes.Ian Bensley: Not stated.

Runs workshops or training? Each consultant's answer, from their own pages.

Consultant	Answer
Finlay Ekins	Yes. Hourglass AI runs a one-day on-site workshop for a whole team, at $1,000 per head.
Rushi Vyas	Yes. AI fluency workshops, executive AI workshops and AI training programs.
Matthew Falcomata	Not stated. No workshop or training offer on the pages read.
Thomas Wiegold	Not stated. Training sessions at handover only, with no workshop offer.
Paul Korber	Yes. AI training and enablement: practical sessions grounded in how the team works.
IBIan Bensley	Not stated. No workshop or training offer on the pages read.

Available for ongoing work?Their own site offers support, maintenance or a retainer after launchFinlay Ekins: Yes.Rushi Vyas: Not stated.Matthew Falcomata: Yes.Thomas Wiegold: Yes.Paul Korber: Yes.Ian Bensley: Yes.

Available for ongoing work? Each consultant's answer, from their own pages.

Consultant	Answer
Finlay Ekins	Yes. Hourglass AI maintenance covers daily ingestion, weekly accuracy passes and model upgrades, for about $1,000 a month per build.
Rushi Vyas	Not stated. No ongoing support offer on the pages read.
Matthew Falcomata	Yes. Optional ongoing support for refinement and monitoring.
Thomas Wiegold	Yes. Ongoing support if the client wants it, never a condition of the build.
Paul Korber	Yes. Partner, the third step, is ongoing support as things change.
IBIan Bensley	Yes. An ongoing support retainer is one of his common engagement shapes.

Based in Australia?Their own site gives an Australian baseFinlay Ekins: Yes.Rushi Vyas: Yes.Matthew Falcomata: Yes.Thomas Wiegold: Yes.Paul Korber: Yes.Ian Bensley: Yes.

Based in Australia? Each consultant's answer, from their own pages.

Consultant	Answer
Finlay Ekins	Yes. Hourglass AI is in Sydney and Melbourne.
Rushi Vyas	Yes. Based in Sydney, working across Australia and Asia-Pacific.
Matthew Falcomata	Yes. Based in Sydney, working with small service businesses across Australia.
Thomas Wiegold	Yes. Based in Sydney since 2019.
Paul Korber	Yes. An AI consultancy for Sydney professional services businesses.
IBIan Bensley	Yes. Based at 11 York Street, Sydney.

Yes answersOut of 6 questions6 yes for Finlay Ekins4 yes for Rushi Vyas4 yes for Matthew Falcomata3 yes for Thomas Wiegold4 yes for Paul Korber3 yes for Ian Bensley

What an AI consultant costs

Published prices, AUD

What an AI consultant costs, by consultant: Consult or audit, Workshop, Build, Ongoing.

Consultant	Consult or audit	Workshop	Build	Ongoing
Finlay Ekins	Flat feeHourglass AI's AI Efficiency Audit, credited to a build started within 30 days	$1,000 per headOne day on site for the whole team	$5,000 to $25,000Each build, confirmed after a scoping call	About $1,000 a monthMaintenance per build
Rushi Vyas	Not published	Not publishedWorkshops and training offered, unpriced	Not publishedCustom AI software development, unpriced	Not published
Matthew Falcomata	$450 to $900Workflow and AI systems consult, after a free process audit	Not published	$1,500 to $7,500+$1,500 to $3,500 for one workflow, $3,500 to $7,500+ for larger implementations	Not publishedOptional ongoing support, unpriced
Thomas Wiegold	Not published	Not published	Not publishedA fixed price per workflow, quoted before work starts	Not publishedOptional support, no retainer lock-in
Paul Korber	Not publishedA fixed-fee audit, unpriced	Not publishedAI training and enablement, unpriced	Not published	Not publishedOngoing advisory, unpriced
IBIan Bensley	Not publishedA fixed-price assessment, unpriced	Not published	Not publishedA defined project build, unpriced	Not publishedA support retainer, unpriced

When another consultant is the better pick

What to check before you hire an AI consultant

Ask four questions before you hire an AI consultant. Will they build it, or only plan it? Where will your data sit? Can they name a client and a number? Who keeps it running once your team is using it? The first and third are scored on this page. The other two are not scored, and each has its own section below.

Execution over advice

Execution means the consultant writes the code, connects the systems and ships the workflow, rather than handing over a plan for someone else to build. The hands-on delivery test scores it. Finlay Ekins, Matthew Falcomata and Thomas Wiegold score the full 10.

A workshop earns its place only when people leave having built something. One company called Hourglass AI on a Thursday to run a full-day AI offsite for 25 people the following Tuesday. The team scrapped the slide deck and built the workshop as a working web page with real company examples. Everyone left having built their first agent.

Then comes the build. Hourglass AI's core offer is audit then build. The team interviews the client, maps the problems and writes the roadmap. The client chooses, and Hourglass AI builds and maintains it. Most of the audit now runs as AI skills that chain together, so the AI does the heavy lifting and the team makes the judgement calls on what to recommend. Finlay Ekins spends his days on the gap between an AI demo and a system that holds up in production. A consultant who only advises never has to cross it.

Where your data sits

Local compliance means client data stays in systems the business controls, under Australian privacy law, and the consultant can say where it is held. It is not scored. Hourglass AI builds on the client's own servers and accounts, and Ian Bensley offers self-hosted and private models for sensitive data.

Security, and where the data goes, is the most common question an AI consultant gets. Hourglass AI's answer is that data stays on the client's own servers, in systems the client owns. The model plugs in through the client's own AI account, so whether data is retained or used for training depends on the plan that account is on. On the right plan, the data does not train the models and is not kept long-term. Inside the company, the AI copies the access rules already in place, so salary information stays with the people who could already see it.

The future is bring your own model. The client holds the key to its own AI account and pays for the system built around it. That is how Hourglass AI plugs each user's own Claude account into a client's brain. A consultant charging a markup on API costs has a business model that will not last.

Ask any consultant two questions before you sign. Where will your data sit? Whose account will the model run on?

Results you can check

Measurable ROI is a named client and a number the client attributes to the work. The outcomes test scores it. Finlay Ekins and Rushi Vyas score highest, with 10 each. Speed to delivery is not scored.

The client has to put their name to the number, and a projection does not count. It is the same standard as counting cash received rather than cash invoiced. The quickest way to get a real number is to start with one team and its biggest problem, and map what AI takes off its plate.

Who keeps it running

Change management is the training that keeps staff using an AI system after launch, and the ongoing adjustment the system needs as the business changes. It is not scored. Paul Korber puts AI change at roughly 70% people, Rushi Vyas reports training more than 400 UNSW Finance staff, and Hourglass AI's maintenance covers daily ingestion, weekly accuracy passes and model upgrades.

Getting people to use a system is often harder than building it, and a system nobody can use is worthless however well it was built. Across Australian teams rolling out AI, the same pattern recurs. A handful of power users carry the whole company, most of the team has tried it once, and almost nobody has handed over a full workflow. A top-down mandate does not fix that.

One Hourglass AI client picked the sharpest, most curious person in each team and trained them deeply in Claude and the tools that mattered for their actual work, well past a lunch-and-learn. They called themselves the Claude Lords. Their colleagues watched them finish work in a quarter of the time, and within four weeks the question changed from "should I be using AI?" to "how do I become a Claude Lord?" Hourglass AI now runs every rollout this way: pick champions, give them a name people actually want, and train them properly, because people chase status, not compliance.

How this list is ranked

This list ranks individuals who personally deliver AI implementation for Australian businesses in 2026, verified on their own website. Advisers and speakers appear in a separate broader tier, scored on the same six tests. Every fact links to the person's own website or to named press, and where a figure is self-reported, the card says so. LinkedIn and people-database records were used to find candidates and to cross-check roles, and are never cited as a source.

Two tests decide the order at the top. Without hands-on delivery and outcomes, Gihan Perera would be first on 38, then Dr Catriona Wallace on 36 and Simon Kriss on 31, with Finlay Ekins fourth on 30. Rushi Vyas also scores 30 on that basis, so the two are level for fourth.

Finlay Ekins loses on two tests: teaching, 5 against 10 for Gihan Perera and Simon Kriss, and recognition, 6 against 8 for Rushi Vyas, Dr Catriona Wallace and Gihan Perera. He scores the full 10 on verification. His author page dates Hourglass from 2025 and the founding story says Hourglass AI was established in 2026. His own newsletter reconciles the two: the business became a proper company and was renamed Hourglass AI. Startup Daily quoted him at the company's launch in April 2026, which counts as third-party press and as national media.

The same Startup Daily article named Schweigen, The Skincare Company and Sense of Self among Hourglass AI's clients. It reported that Schweigen runs an AI customer support system Hourglass built, live on its own site. That is an independent report of a result, which is why his outcomes score is the full 10 alongside Integr8 and Voyagin Australia.

Rushi Vyas' outcomes and verification scores rest partly on UNSW's newsroom report, and his recognition score rests on the AFR's coverage of him. Dr Catriona Wallace's and Simon Kriss' teaching scores count their podcast appearances.

This list is narrowed to people who build, because a strategy document does not get a team to hand a full workflow to AI. Hourglass AI hires people who want to spend their careers shipping AI inside real businesses, not writing decks about it. This page applies the same test to every consultant. Finlay Ekins builds the product, and Michael Batko runs brand and distribution.

Michael Batko, who ran Startmate until December 2025 and co-founded Hourglass AI with Finlay Ekins, wrote this page and is not ranked. People with no website of their own are not ranked, because their titles cannot be checked. Consultants employed by firms are left out, because a buyer engages the firm, not the person.

The advisers a broader list would put on top

A list of AI experts in Australia that did not require building would rank advisers and speakers. On the same six tests, Dr Catriona Wallace scores 42, Gihan Perera 40 and Simon Kriss 36.

Search Google for "best ai consultant in australia" and the Australian AI Overview answers with firms. On 28 September 2026 it named Team400, Mantel Group, RUBIX, Kodora AI, Protiviti and the Big Four. Team400 is scored on the ranking of the best AI automation agencies in Australia. The enterprise firms sit outside that page's scope, which is agencies serving Australian small and mid-sized businesses.

Related reading

• AI automation for Australian businesses: where it actually pays back
• The AI knowledge library: agents, voice and agentic AI explained
• Guidance for AI Adoption from Australia's National AI Centre
• APP 8: sending personal information overseas, from the OAIC

References

1. Hourglass AI: Home page (cited for Finlay Ekins)
2. Hourglass AI: Finlay Ekins, Co-founder (cited for Finlay Ekins)
3. Finlay Ekins: Same Newsletter, New Face (cited for Finlay Ekins)
4. Hourglass AI: Client results (cited for Finlay Ekins)
5. Finlay Ekins: A Ferrari with No Fuel (cited for Finlay Ekins)
6. Finlay's Newsletter: Hourglass Digital AI Newsletter (cited for Finlay Ekins)
7. Hourglass AI: About Hourglass AI (cited for Finlay Ekins)
8. Finlay Ekins: AI Prison Break?! (cited for Finlay Ekins)
9. Hourglass AI: Company AI Brain (cited for Finlay Ekins)
10. Finlay's Newsletter: The End of the World or Words on a Screen (cited for Finlay Ekins)
11. Hourglass AI: AI Inbox (cited for Finlay Ekins)
12. Hourglass AI: AI Audit (cited for Finlay Ekins)
13. Finlay Ekins: Home page and newsletter (cited for Finlay Ekins)
14. Finlay Ekins: The AI Casino (cited for Finlay Ekins)
15. Rushi Vyas: About Rushi Vyas (cited for Rushi Vyas)
16. Rushi Vyas: AI Keynote Speaker and AI Courses in Australia (cited for Rushi Vyas)
17. Rushi Vyas: AI Keynote Speaker and Consulting Across Asia-Pacific (cited for Rushi Vyas)
18. UNSW Newsroom: UNSW startup partners with High Commission of India to support international students (cited for Rushi Vyas)
19. UNSW Sydney: Mr Rushi Vyas (cited for Rushi Vyas)
20. Australian Financial Review: 'We've only scratched the surface', how AI will change work (cited for Rushi Vyas)
21. Matthew Falcomata: AI Consultant Sydney (cited for Matthew Falcomata)
22. Matthew Falcomata: FAQ, AI Consulting for Small Businesses (cited for Matthew Falcomata)
23. Matthew Falcomata: Work Examples (cited for Matthew Falcomata)
24. Thomas Wiegold: AI Agents, Automation and Custom Software (cited for Thomas Wiegold)
25. Thomas Wiegold: AI Consulting Sydney (cited for Thomas Wiegold)
26. Korbai: About Paul Korber (cited for Paul Korber)
27. Korbai: AI consultancy Sydney (cited for Paul Korber)
28. Ian Bensley: About (cited for Ian Bensley)
29. Ian Bensley: AI, Automation and Marketing, Built and Shipped (cited for Ian Bensley)
30. Dr Catriona Wallace: About (cited for Dr Catriona Wallace)
31. UNSW AGSM: The Business Of Responsible AI (cited for Dr Catriona Wallace)
32. Gihan Perera: Books and Reports (cited for Gihan Perera)
33. Gihan Perera: In The Media (cited for Gihan Perera)
34. Simon Kriss: Home page (cited for Simon Kriss)
35. Sovereign Australia AI: Leadership and Advisory Panel (cited for Simon Kriss)
36. Apple Podcasts: CXChronicles Podcast 220 with Simon Kriss, Leading Voice On AI In CX (cited for Simon Kriss)
37. Gihan Perera: Leveraging AI For Better Results, Faster
38. Department of Industry, Science and Resources: Australia's AI Ethics Principles
39. OAIC: Guidance on privacy and the use of commercially available AI products
40. AI Down Under podcast: The AI CEO Who Backed Startups Worth $3.5B, Michael Batko
41. Hourglass AI News: Monthly Update, July 2026
42. Startup Daily: Former Startmate boss Michael Batko is back in founder mode building with Hourglass AI
43. Startmate: A new chapter at Startmate, Batko is stepping down as CEO
44. National AI Centre: Guidance for AI adoption, implementation guidance
45. OAIC: Chapter 8, APP 8 Cross-border disclosure of personal information