AI and technology advisory

Make AI and technology earn their place in your business.

We start with the work that wastes your time, not with the tool. Find the opportunities worth pursuing, build a practical business case, then pilot, roll out and measure what changed.

Peter Spinda
We don’t just advise on AI. We use it every day.We built our own platform, Trinity. It’s AI-driven, resulting in less admin, faster work, higher quality results and measurable outcomes for us and our clients.

A standalone project, or part of your Value Builder program. Scoped and quoted up front.

AI opportunity reviewWhere could AI give your team time back?
Example
Monthly reportingPulled together by hand from three systems
Strong AI fit
AI pulls the data together and drafts the report
Quotes and adminSame details re-typed into each system
Strong AI fit
Enter details once and AI fills in the rest
Finding proceduresAnswers live in one person’s head
Worth testing
An AI assistant answers from your own procedures
Customer follow-upHandled well by the team today
Keep it human
No AI needed here
Next: a business case and a small, measured AI pilot for the top opportunity.
Where are you starting from?

Pick the one that sounds most like you

Whichever fits, your advisor can connect you with BBA’s own AI developers and trusted partner agencies, or work alongside the IT provider or developer you already have.

01Not sure where to begin

“I know AI matters, but I can’t see where it fits in my business.”


What we’d do first

Run our readiness assessment to map where time and money go today, then shortlist two or three opportunities worth a business case.

You get: a prioritised shortlist, with rough costs and benefits.
Talk this through with an advisor
02Experiments, but no business case

“The team has tried a few tools, but nothing has stuck or been measured.”


What we’d do first

Review what’s been tried, pick the most promising use and build a business case around a small, measurable pilot.

You get: a business case and a pilot plan with clear success measures.
Talk this through with an advisor
03Solution chosen, rollout stalled

“We’ve picked a system. Now we need practical help making it work.”


What we’d do first

Clarify responsibilities, plan integration and training, and set the measures that will show whether it’s working.

You get: a rollout plan, owners for each task and an adoption checklist.
Talk this through with an advisor
Just want your team using AI well?Practical, hands-on AI training for owners and teams, on the tools you already use. In person or online.
See AI training
Our method

From idea to measured results, in six steps

It starts with your own readiness assessment, and every step has a decision point, so you never spend more than the evidence supports.

Spend grows only as the evidence does.Each step ends with a decision: stop, adjust or go further.
  1. 01Readiness assessmentWhere your systems, data and team are today.Decide: where to look
  2. 02Opportunity selectionShortlist the work worth improving.Decide: what to pursue
  3. 03Business caseCosts, benefits, risks and recurring fees.Decide: is it worth it?
  4. 04PilotA small, measured test with real work.Decide: scale or stop
  5. 05AdoptionRollout, training and safe-use guidelines.Decide: who owns it
  6. 06MeasurementReview the numbers against the business case.Decide: what’s next
AI training for owners and teams

The tools are only as good as the people using them

Practical, plain-English AI training built around your own work, so your team uses AI confidently, safely and in ways that actually save time. In person or online.

LeadersAI briefing for owners and managersWhat AI can and can’t do for your business, in plain English.
TeamsHands-on workshopsBeginner to advanced sessions on Claude, ChatGPT, Perplexity, Grok, Gemini and Copilot.
SafetySafe-use guidelinesClear rules on data, privacy and checking AI outputs.
OngoingCoaching after rolloutFollow-up support so new habits stick.
Ask about AI training for your team
AI workshop in progress
Generative AI trainingBeginner to advanced, on the tools you’ll use
ClaudeAnthropic
ChatGPTOpenAI
PerplexityPerplexity AI
GrokxAI
GeminiGoogle
CopilotMicrosoft
BeginnerWhat each tool does, safe use and your first everyday tasks.
IntermediateBetter prompts, templates and workflows for your role.
AdvancedCustom assistants, automations and team-wide practices.
Tool-agnostic advice. We help you choose what fits your business, then train your team to use it well.
Backed by our own research

We study how businesses adopt AI, so we can help yours do it well

Across the Benchmark Advisory Group, our research looks at what makes digital change stick: the people, the leadership and the practical steps, not just the technology.

PhD research

The Psychology of Digital Transformation

180+participants

Doctoral research into why people embrace, or resist, new technology at work, and what leaders can do about it.

Peter Spinda · University of Southern QueenslandSurvey closed · analysis under way
Get updates
National study

NextBuild AI Blueprint

2026Jan – Nov

A national study of AI and the construction workforce, led through Benchmark Business Research.

Benchmark Business ResearchOngoing study
Register for findings
What this means for youHow our research shapes our advice
01Adoption is about people as much as tools. Leadership and trust come first.
02Start small with real work, measure it, then scale what works.
03Clear guidelines help teams use AI confidently rather than avoid it.
Client story

Technology change in practice

See all client stories
Education and training · Digital transformation

New ways to deliver. More room to grow.

When COVID-19 stopped face-to-face training, we helped a provider rethink how it operated: strategy, systems and a new hybrid delivery model.

3 monthsto move online
Same teammore training delivered
Hybriddelivery model
Read the client storyA technology and operating-model transformation, not an AI implementation.
In our own business

We use AI ourselves.

We built our own platform, Trinity. It’s AI-driven, resulting in less admin, faster work, higher quality results and measurable outcomes for us and our clients. The same thinking goes into the advice we give you.

Before you start

AI and technology questions

What owners usually ask before they spend on technology.

Rather just ask us?Contact our friendly team for a confidential chat.
1300 366 521 Or request a call back
This is a good fit if you: Have work that eats hours every week Want to test before you spend big Want your team using AI safely and well
Can we improve our existing systems rather than replace them?

Often, yes. We start with what you already pay for. Replacement only makes sense when the business case supports it.

Who builds or integrates the solution?

BBA’s AI developers, a partner agency, or your own IT provider or developer, depending on the work. Each project scope names who builds, integrates, trains and supports, and who you contract with.

What recurring costs remain afterwards?

Licences, hosting and support are identified in the business case up front, so you can see the full cost before committing.

How do staff use it safely and effectively?

Adoption and training are part of the method, including clear guidelines on data, privacy and checking outputs.

What if a pilot doesn’t justify further investment?

Then we stop and say so. A pilot is designed to answer that question cheaply before you spend more.

How will we know the change was worthwhile?

We agree measures before the pilot, such as time saved, errors reduced and response times, and review them after rollout.

What work would you like to improve?

Tell us in a 20-minute call. We’ll say honestly whether technology is the answer, and what a sensible first step would be.

20 minutes, no cost, no obligation A senior advisor, not a salesperson

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