Your business needs technical leadership before it needs another AI tool.
Traksie helps growing businesses make better decisions around AI, data, automation, and systems — without hiring a full-time Chief AI Officer (CAIO).
Evidence-informed. Practical. Built for leadership teams.
Most AI assessments measure tools. This one measures adoption.
A business can have AI tools, committees, policies, and training sessions — and still fail to change how work gets done. Real AI readiness is not only about technology. It is about strategy, use-case quality, data, people, governance, team roles, and execution.
AI tools without workflow change
Teams get access to new tools, but the way work happens stays the same.
Training without behaviour change
People attend sessions, but do not build AI into their daily rhythm.
Experiments without business value
Pilots happen in pockets, but they do not translate into measurable outcomes.
Start with the diagnostic or book a call.
Some teams need a structured diagnostic first. Others already know they need technical guidance. Choose the path that fits where you are.
AI Readiness Diagnostic
For teams that want to understand where they stand before deciding what to build.
- Measures AI, data, systems, adoption, governance, and execution readiness
- Shows your strongest and weakest areas
- Identifies the main risk blocking progress
- Ends with a complimentary results review
Discovery Call
For founders and leadership teams who already know they need technical guidance.
- Useful if your systems feel messy
- Useful if your data is underused
- Useful if you are unsure where AI fits
- Useful if you need technical direction without hiring a full-time CAIO
How outsourced CAIO support works
AI Readiness Diagnostic
Understand where your business stands across AI, data, systems, adoption, governance, and technical execution.
Complimentary Results Review
We unpack your score, discuss your business context, and identify whether you need a focused project or ongoing technical leadership.
Choose the right path
Some businesses need one clear project. Others need an outsourced Chief AI Officer (CAIO) rhythm to prioritise and manage technical decisions over time.
Path A
Outsourced CAIO Retainer
Ongoing CAIO-level support for AI, data, systems, vendors, technical priorities, and implementation decisions.
Path B
Project Sprint
A focused project to solve one clear workflow, automation, data, dashboard, integration, or AI use case.
Embed & Support
Document the process, support adoption, and create the operating rhythm needed to keep technical progress moving.
Two ways to work with Traksie after your diagnostic.
Some businesses need one focused project. Others need ongoing technical leadership. The results review helps decide which path makes sense.
Path A
Outsourced CAIO Retainer
Best when you need ongoing technical leadership across AI, data, systems, vendors, and implementation decisions.
Use when
- You do not have a Chief AI Officer (CAIO)
- AI, data, or systems decisions keep landing with the founder or CEO
- You have multiple systems, workflows, or data problems
- You need ongoing technical direction
- You need help deciding what to build, buy, fix, or stop
- You need oversight of vendors, developers, or implementation partners
Path B
Project Sprint
Best when you have one clear workflow, data, automation, integration, or AI use case to solve.
Use when
- You have a specific workflow to improve
- You need a dashboard, automation, AI workflow, integration, or internal tool
- The problem has a clear scope
- You want to test one high-value use case first
- You do not yet need ongoing CAIO support
Start with the AI Readiness Diagnostic.
The diagnostic separates AI maturity from AI readiness. It shows where your organisation is strong, where it is exposed, and what to do next.
Your diagnostic gives us the starting point. The next step is a complimentary results review where we unpack your scores, discuss your business context, and decide whether the right next step is a focused project or ongoing outsourced CAIO support.
AI maturity
- Strategy
- Data
- Governance
- Technology
- Structures
- Policies
- Tools
AI readiness
- Willingness to change
- Confidence to use AI
- Psychological safety
- Trust in AI outputs
- Manager capability
- Workflow adoption
- Team role coverage
- Execution capacity
Five dimensions of real AI readiness.
Strategic Clarity
Do you know where AI, data, automation, or better systems could create practical business value?
Data & Systems Readiness
Are your systems, data, and workflows usable enough to support AI, automation, or better reporting?
Human Adoption Readiness
Are your people ready to use, trust, and adopt better ways of working?
Governance & Risk
Can your business use AI, data, and tools safely, responsibly, and with appropriate oversight?
Execution & Technical Leadership
Do you have the technical leadership needed to prioritise, build, manage vendors, and embed solutions?
The 5 AI Readiness Levels
Aware
AI is recognised, but readiness is low.
Preparing
Some activity exists, but foundations are uneven.
Piloting
AI is being tested in pockets, but adoption is not embedded.
Scaling
AI is moving into repeatable workflows.
Embedded
AI is part of the operating rhythm and a potential source of advantage.
From technical uncertainty to practical execution.
Most businesses do not need more AI noise. They need a clear path from readiness to implementation.
Diagnose
Understand the business, systems, data, people, current AI use, and technical constraints.
Map
Identify where AI, automation, analytics, or better systems could create measurable value.
Build
Prototype or implement the selected workflow, dashboard, automation, integration, or AI-enabled process.
Embed
Support adoption, documentation, training, measurement, and ongoing technical decision-making.
2-Month Fit Guarantee
If, after the first two months of an outsourced CAIO retainer, you do not believe the engagement is creating practical clarity, better technical prioritisation, or useful momentum, we will reset the scope with you or pause the engagement.
The goal is simple: the engagement must create clarity, momentum, and better technical decisions early.
Two questions usually reveal the real starting point:
“Who in the company is actually using AI today?”
“What word comes to mind when your team hears 'AI'?”
The answers usually show whether the business is dealing with curiosity, confusion, fear, hype, or real adoption.
Meet the team.
Traksie combines strategic AI guidance, systems thinking, and technical execution capability to help growing businesses make better technology decisions.
Dr Bettina Meyer, PhD
Co-Founder | AI Strategy, Data & Business Systems
Bettina brings an industrial engineering and business strategy lens to AI adoption. Her work focuses on helping leadership teams identify where AI, data, automation, and systems can create practical business value — and where technology may add complexity without enough impact.
Dr Anro Redelinghuys
Co-Founder | Technical Systems & Engineering
Anro brings deep technical and engineering capability to the design and integration of complex systems. His work supports the translation of business needs into robust, scalable, and production-ready technical solutions.
Tiaan van Zyl
Co-Founder | People, Operations & Technology
Tiaan brings a background in people, operations, and technology, with a particular strength in AI adoption and how organisations take on new ways of working. His work focuses on the structures, processes, and change that turn strategy into something teams can actually run and sustain.
Together, the Traksie team combines executive-level guidance with technical execution capability. The focus is not AI theatre. It is helping businesses decide what to build, what to buy, what to fix, and what to ignore.
Not sure where to start with AI, data, or systems?
Start with the diagnostic, or book a discovery call if you already know you need technical guidance.