AI Adoption Sprint + AI Workspace · Australian SMEs
Struggling to get started with AI adoption in your business?
AI adoption,
operationalised.
We help Australian SMEs prioritise the right AI use cases, set governance, build agents, and move execution into your environment or the Springlab AI Workspace.
10+
AI opportunities identified per sprint
3
ROI scenarios modelled for your board
5 Days
From kickoff to a 90-day implementation roadmap
Sound familiar?
Why AI adoption stalls in Australian SMEs
AI momentum usually fades when tools, ownership, governance, and delivery are treated as separate problems. We see four patterns frequently.
No governance, no guardrails
Teams experiment with AI in silos, but there are no policies for data, risk, or accountability.
74% lack any AI policy
AI shelfware
Licences are purchased, but there is no rollout sequence, use-case map, or success criteria.
41% of AI seats idle
No accountable owner
AI is everyone's job, so it becomes no one's job. Executive sponsorship is unclear and fragmented.
Only 1 in 5 initiatives ship
Unsure where to begin
The board wants AI progress, but leadership cannot yet define what implementation should look like.
51% of SME leaders say this
Why Springlab AI
AI adoption support built for Australian SME leaders.
A practical, founder-led model for teams that need board-ready decisions, governance clarity, and implementation momentum without a long consulting program.
Fixed-price engagements
Clear scope, clear deliverables, and no open-ended hourly consulting model.
Governance-first approach
Guardrails, ownership, and risk decisions are designed into the roadmap from day one.
Australian SME focus
Right-sized for leadership teams that need practical AI adoption, not enterprise theatre.
Practical implementation path
Every sprint connects strategy to use cases, adoption work, ROI measures, and next steps.
Workspace adoption layer
Selected clients can move from the roadmap into a pilot workspace for chat, review, knowledge, apps, and governance.
Platform preview
From roadmap to workspace.
The sprint creates the roadmap. Springlab AI Workspace helps your team use that roadmap across advisory chat, document review, knowledge sources, business-app context, and governance workflows.
AI Workspace
6 agents · 6 problems
01
Lead to Payment
CRM, invoice, and support signals become clear account actions.
02
Marketing Advisor
SEO, competitor, and campaign notes turn into next steps.
03
AI Detector
Review AI-generated content risk before it reaches customers.
04
Support Agent
Staff questions are answered from approved company knowledge.
05
Lookup Agent
Finds answers across internal drives, FAQs, websites, and shared knowledge sources.
06
Data to Signal
Turns operational data into trends, adoption signals, and board-ready recommendations.
Workspace output
Board-ready recommendations, audit history, and next actions.
Our Services
AI enablement services for Australian SMEs
Choose the level of support you need now, from roadmap and governance through to agent builds, workspace execution, and ongoing operating support.
Phase 1 — Initiate
AI Enablement & Adoption Sprint
From A$3k*
*per day, recommended 5 days
Rapidly align leadership, unpack high-impact use cases, and leave with a board-ready AI enablement roadmap.
- AI implementation roadmap
- AI use-case prioritisation & ROI guidance
- Governance — AI policy review
- AI adoption playbook
We don't touch your systems and data during this phase
Phase 2 — BuildImplementation & AI Agent Build
From A$7.5k*
*subject to scope & complexity
Hands-on delivery to build priority workflows, deploy agents, and operate them in your environment or the Springlab AI Workspace.
- Solution design, agent build, and vendor coordination
- Data integration and workflow orchestration
- Workspace pilot setup where your stack is not ready
- Team enablement, adoption metrics, and outcomes tracking
AI Advisory Retainer
TBC*
*Ongoing support & partnership
Ongoing guidance to govern AI, scale adoption, and keep ROI on track as your business evolves.
- Quarterly strategy & portfolio reviews
- Governance board reporting support
- Supplier evaluation & risk oversight
- Continuous capability uplift
📊 5-Day Sprint ROI Snapshot — Australian SME (100 staff)
Copilot licenses purchased100 seats
Monthly license costA$5,000 / mo
Actual adoption rate~10%
Wasted spend (annualised)A$54,000 / yr
Springlab AI Sprint (avg.)A$22,000
Adoption target post-Sprint70%+
Value recovered (year 1)A$36,000
Year 1 ROI
+64%
* Indicative figures based on conservative adoption and productivity assumptions. AUD $50/user/month.
ROI Example
Get Your ROI Estimate ↗
AI adoption ROI example for an Australian SME
This is the conversation we have with every Business Leader. The maths are straightforward — unused AI licences are a known, quantifiable cost. Our engagement is a fixed investment with a measurable return.
Most clients are ROI-positive before the year is out. And that's before counting the productivity gains, governance risk reduction, and competitive advantage from teams that actually use AI well.
Get Your ROI Estimate ↗
How it works
How our AI sprint works
Three days on-site, two off. The alternating rhythm gives your team breathing room and gives us time to synthesise properly between sessions.
On-site
Day 1
Discovery & Diagnosis
- Stakeholder interviews
- AI maturity assessment
- Voice of Customer
- Pain point mapping
Off-site
Day 2
Analysis & Roadmap Draft
- Findings analysis
- Use case prioritisation
- AI policy draft
- Roadmap draft
On-site
Day 3
Playback Roadmap & Feedback
- Playback findings
- Present roadmap
- AI exec awareness workshop
- Stakeholder sign-off
Off-site
Day 4
Finalise Deliverables
- Implementation roadmap doc
- ROI guidance template
- Governance AI policy doc
- Adoption playbook
On-site
Day 5
Training & Handover
- AI prompt engineering masterclass
- AI Champion enablement
- Customised training sessions
- Handover & next steps
What you get in the 5-day AI adoption sprint
AI Implementation Roadmap
10-page blueprint aligned to your goals + phased 90-day plan with owners, milestones & dependencies
ROI Guidance Template
1-page exec summary template with variables and assumptions model
Governance AI Policy Document
AI policy including data handling, risk controls & compliance guardrails
Adoption Playbook
Change management plan including AI champion identification and training toolkit
About Us
AI governance and implementation expertise
We combine deep exec-level consulting with hands-on enterprise technology experience. We've seen AI fail at scale from the inside — and built Springlab AI to help organisations like yours achieve timely and responsible AI adoption using the right toolkit and expertise.
Practical outcomes
Human-centered AI
Governance first
Evidence-led delivery
Capability uplift
AJ
AI Transformation & Enablement Specialist
Aman Jain
Co-Founder
With 17+ years leading large-scale transformations, Aman specialises in designing and implementing modern operating models powered by people, data and AI — helping organisations move from AI experimentation to real operational impact.
LinkedIn profile ↗
RM
AI Product & Governance Leader
Ragu Mantatikar
Co-Founder
With 25+ years of experience leading enterprise technology and service transformation, Ragu specialises in combining IT service management, automation and AI-powered platforms to help organisations modernise and deliver better digital experiences.
LinkedIn profile ↗
Insights
Insights and case studies
Practical guidance and deidentified proof points covering AI governance, readiness, implementation, and agent builds.
Blogs
View all insights
Adoption
AI adoption roadmap for Australian SMEs
A 5-step implementation guide covering outcomes, readiness, governance, and a practical 90-day rollout plan.
Read our AI adoption roadmap for Australian SMEs
Governance
Board-ready AI oversight in 30 days
A clear framework to set risk appetite, decision rights, and accountability before tools hit production.
Read the board-ready AI governance guide
Evaluation
How to evaluate AI tools for your SME
Compare Microsoft Copilot, ChatGPT, and other tools using fit, security, adoption, and cost criteria.
Compare Microsoft Copilot and ChatGPT for SMEs
Case studies
View all case studies
AI strategy sprint
AI roadmap and business case for retail operations
$2.4M projected savings and 5 AI opportunities validated across P2P and O2C workflows.
Read the retail AI roadmap case study
Implementation
AI-enabled P2P transformation for aviation finance
$10M savings over 5 years with improved working capital visibility and finance capacity.
Read the P2P transformation case study
AI agent build
AI RevOps intelligence agent across CRM, payments, and enrolments
A single natural-language agent connected HubSpot, Stripe, and aXcelerate intelligence.
Read the AI agent case study
FAQ
Frequently asked questions about AI adoption
An AI adoption sprint is a short, focused engagement that helps your leadership team decide where AI should be used, what guardrails are needed, how ROI will be measured, and what implementation should happen first.
Most SMEs can begin implementation within two to four weeks after the sprint. The first wave is usually planned over 30 to 90 days so the team can prove value before scaling.
Yes. We help SMEs evaluate, govern, and adopt Microsoft Copilot, ChatGPT, and other AI tools based on business fit, data risk, user readiness, and measurable value.
AI governance means clear rules for approved tools, sensitive data, human review, accountability, vendor decisions, and board reporting. For SMEs, it should be practical enough for teams to follow.
The AI Enablement and Adoption Sprint is fixed-price and scoped during the discovery call. The current guide price is from A$3k per day, with five days recommended for a board-ready roadmap.
Yes. After the strategy sprint, we can support implementation, workflow automation, AI agent delivery, training, adoption measurement, and governance reporting for selected use cases.
We connect each use case to a baseline and measurable business outcome, such as hours saved, cycle-time reduction, quality improvement, revenue support, risk reduction, or better licence utilisation.
Yes, when the business has a clear operational problem, leadership attention, and a need to make sensible AI decisions without a large internal transformation team.
No. Phase 1 is designed to stand on its own. You walk away with everything you need to act independently: a strategy, a roadmap, governance policies, and trained people. Many clients choose to engage us for Phase 2 or Phase 3, but there is no obligation.
Three things set us apart: speed, price, and practical enablement. We deliver in 5 days, not months. Our fixed fee is right-sized for SMEs. And we do not stop at strategy. We include hands-on training, prompt engineering guidance, and AI champion enablement so your team can actually execute the plan.
Yes. While the sprint is designed as a single working week, we can accommodate a spread schedule if key stakeholders have availability constraints. The important part is maintaining the on-site and off-site rhythm so momentum is not lost.
We sign an NDA before the engagement begins. All information shared during stakeholder interviews and discovery is treated as strictly confidential. Deliverables are provided exclusively to your nominated stakeholders, and we do not retain copies of your materials after handover.
We work with small and medium enterprises between 50 and 1,000 employees across Australia and APAC. Our frameworks, pricing, and delivery model are specifically right-sized for this segment, not scaled-down enterprise methodologies.
Very little. After the discovery call, we ask for a stakeholder list and any existing documentation you are comfortable sharing. If none of that exists, that is completely fine. The sprint is designed to work even if you are starting from zero.
That is what the midpoint review is for. We present findings and the draft roadmap specifically to get your feedback and sign-off before we finalise deliverables. If something does not land or priorities shift, we adjust. The sprint is collaborative, not prescriptive.
In Phase 1, we recommend categories of tools and platforms that fit your use cases and environment, but we remain vendor-neutral and do not resell software or earn commissions. If you need hands-on vendor evaluation, solution design, and procurement support, that is covered in Phase 2.
We hear this often. The common complaints about traditional consulting are that it takes too long, costs too much, senior people disappear after the pitch, and the output is not actionable. Our model addresses all four with a fixed timeline, fixed price, founder-led delivery, and deliverables designed to be used immediately.
The governance document we deliver is a practical operational AI policy covering data handling, acceptable use, risk controls, and accountability frameworks. It is designed as a strong foundation that your legal team can review and formalise. We recommend legal sign-off where industry-specific compliance requirements apply.
Typically within 2 weeks. After the discovery call, we send a tailored proposal within 48 hours. Once signed, we coordinate stakeholder availability and lock in sprint dates. For urgent situations, we can often accelerate and start within 1 week.
The 30-minute discovery call is your test. It is free, no obligation, and gives us both a chance to assess fit. We can also offer individual components of the sprint depending on where you are in the journey and what is most valuable, while still covering must-have activities across discovery, analysis, roadmap, ROI, governance, and training.
This is more common than many teams expect, and it is exactly why the sprint includes training and champion enablement, not just a document handover. The Adoption Playbook specifically addresses change resistance with communication frameworks, role-specific training paths, and an AI champion program to build internal advocates.
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Ready to stop wasting
your AI investment?
30 minutes. No pitch. Just an honest conversation about where you are with AI and whether we can help.
Book a 30-minute AI discovery call