AI Discovery Workshop
Find where your teams can reduce administration, access information faster and improve everyday work. SSW works with your business and technology teams to assess the opportunities and develop a prioritised roadmap, with practical recommendations for your people, processes, systems and data.









Find the problems worth solving
Your team knows where work gets held up: repetitive administration, information that is hard to find, slow approvals and manual reporting. We work with the people closest to these tasks to understand the problems, their impact and what a useful improvement would look like.
Choose the simplest effective solution
The right answer may be a process change, better use of software you already own, automation or AI. We assess the options against business value, delivery effort, security and ongoing cost before recommending what to pursue.
Process
Day 1: Understand the business
Meet the people closest to the work, review representative tasks and documents, and identify bottlenecks. Understand your existing systems, data, licences and current AI usage.
Day 2: Assess the opportunities
Evaluate where process improvements, existing software, automation or AI could help. Assess indicative benefits, effort, data readiness, security and licensing requirements. Shortlist suitable pilot opportunities.
Day 3: Prioritise and agree next steps
Present a prioritised roadmap, recommended pilots and practical adoption priorities. Discuss proposed owners, success measures and next steps with your decision-makers.
You’ll receive a practical assessment and prioritised plan to help you decide what to pursue, what to defer and what needs further investigation. Your proposal defines the business areas covered and the depth of each deliverable. Discovery provides the assessment and plan. Pilot delivery, implementation and ongoing support are scoped separately unless explicitly included in your proposal.
A summary of how work runs across the agreed business areas, including the main bottlenecks, existing capabilities and constraints. We consider people, processes, systems and data together.
A structured list of improvement opportunities with indicative benefits, effort, dependencies and assumptions. We distinguish time released for other work from actual cost reductions and identify where estimates need further validation.
Recommended priorities covering quick wins, medium-term initiatives and longer-term improvements. For shortlisted pilots, we outline the intended users, proposed owner, scope, dependencies and measures of success.
People and adoption
Useful technology needs people who know when and how to use it. We assess adoption needs alongside the technical opportunities and recommend learning based on the real tasks your team performs.
Develop internal AI champions
Where appropriate, we recommend a small group of internal AI champions: trusted staff who understand the work and can help colleagues use approved tools effectively. The plan identifies their responsibilities, the time and manager support they need, and when to involve IT or specialist developers.
Measure progress and support adoption
We recommend how to measure progress through usage, work quality and business outcomes. The workshop identifies adoption priorities; training delivery and ongoing coaching are scoped separately.
A three-day, on-site discovery workshop focused on agreed business priorities. We assess where process improvements, automation and AI could deliver value, then recommend practical next steps.
$12,000 + GST
Includes two senior consultants on-site for three full days. We agree the focus areas, required preparation and deliverables with you before the workshop.
Grounded in your business
We examine real workflows with the people doing the work, using representative tasks and documents to identify useful improvements.
Clear priorities and next steps
Recommendations ranked by expected value, effort, risk and readiness, with assumptions and dependencies made clear.
Make more of your existing investment
We assess the software, licences and infrastructure you already have and identify where additional tools or expenditure may be needed.

AI Experts
Uly brings 20+ years of enterprise consulting experience, helping companies adopt emerging technology with confidence. He’s led AI enablement sessions for businesses looking to cut through the hype and build systems that drive measurable outcomes.
Uly's enthusiasm was contagious
Tracy, Director of APA

Our discovery work connects business priorities with the practical requirements of delivery. We assess the data, integrations, access controls, operating costs and adoption needs that will influence whether a recommendation succeeds in everyday use.

Ulysses shares best practices for responsible AI: transparency, critical thinking, privacy, and using AI to actually boost productivity and stay ahead in your career.
Tell us where work gets held up and what you want to improve. We’ll help define the right discovery scope.