We audit and identify high-impact automation opportunities, and build a practical roadmap for AI implementation.
Helping operations and product teams cut through the AI noise
Everyone's talking about AI. Few know where to start. We help you cut through the noise and focus on what will actually transform your operations.
Discovery
We map your operations to find where AI fits, and where it doesn't
We conduct workshops and interviews with your team to understand your workflows, pain points, and data landscape.
Assess
We evaluate each opportunity against impact, feasibility, and risk
Not every process should be automated. We score opportunities based on potential ROI, data readiness, technical complexity, and change management requirements.
POC build
You'll see AI in action, not on a slide, but in your operations.
We take your highest-priority opportunity and build a working MVP using the recommended AI tool. Configured for your workflows, tested with your data, solving your actual problem.
We're not locked into any platform. We recommend the right tool for your use case, whether that's an enterprise suite, a focused point solution, or a custom build.
LLMs
For content, communication, and knowledge work
OpenAI, Anthropic Claude, Google Gemini, and open-source alternatives. We assess where LLMs can automate drafting, summarisation, Q&A, and communications.
Workflow automation
For connecting systems and automating processes
Zapier, Make, n8n, and enterprise platforms like Microsoft Power Automate. We identify where no-code automation can eliminate manual handoffs and data entry.
Document & data processing
For extracting structure from unstructured information
OCR, intelligent document processing, and data extraction tools. We help you automate the intake and processing of forms, invoices, contracts, and reports.
AI-powered analytics
For surfacing insights from your data.
From embedded AI in BI tools to custom ML models. We assess where predictive analytics, anomaly detection, or automated reporting can drive better decisions.
Conversational AI
For customer and employee interactions.
Chatbots, voice assistants, and AI agents. We evaluate where conversational interfaces can reduce support load, improve self-service, or streamline internal requests.
Custom AI-solutions
For unique problems that off-the-shelf can't solve.
Sometimes the right answer is a custom model or integration. We help you assess when custom development is justified, and scope what it would take.
AI implementation fails when it starts with technology instead of problems. We start with your operations, and only recommend AI where it creates real, measurable value.
Every opportunity comes with a business case.
You'll know the expected savings, efficiency gains, and payback period before you commit resources. No faith-based AI investments.
Your roadmap prioritises what matters, not what's trendy.
We help you ignore the noise and focus on the 20% of opportunities that will drive 80% of the value.
Walk into your next pitch with something real. Not just slides.
Show investors you can ship, not just talk.
Build a functional MVP for your highest-impact opportunity.
You'll see AI working in your environment, with your data, before you invest in enterprise rollout. De-risked by design.
We've built AI solutions across industries and functions. These are the areas where we consistently deliver measurable impact, and where your POC is most likely to succeed.
Automate tier-one, elevate the rest
Stop treating your team like expensive OCR machines
Help employees find answers without asking someone else
Generate the reports nobody has time to build
Let your team sell, not to do data entry
Automate the reconciliation, focus on the analysis
Reduce admin burden across employee lifecycles
Connect systems, eliminate handoffs, reduce errors
The pressure to "do something with AI" is real. But between the hype and the complexity, most organisations are stuck in pilot purgatory.
If any of these sound like your situation, we can help you break through.
We don't separate "strategy" from "implementation." You get both, an assessment that identifies the right opportunities, and an MVP that proves the value.
+ GST
Assessment and working POC for your top opportunity
Every AI Discovery & Build engagement comes with
A working solution configured with real AI tools, integrated with your systems, and tested with your data. Not a mockup or a demo, something you can actually use and measure. Complexity depends on the use case, but expect a functional automation or AI-powered workflow.
That's common, and it's part of what we assess. We'll evaluate your data readiness honestly and scope the MVP accordingly. Some use cases need less data than you think. If data work is required, we can help through our Data Readiness Remediation add-on.
We're vendor-agnostic. Depending on your use case, we might use OpenAI, Claude, Relevance AI, Make, Zapier, n8n, Microsoft Power Platform, or specialised tools for document processing or analytics. We select based on fit, not partnerships.
Typically 5–6 weeks from kickoff to MVP handover. Discovery and assessment takes 2–3 weeks, then the build sprint runs 2–3 weeks. More complex builds or data remediation may extend the timeline.
Access to key stakeholders (typically 3–5 people), documentation of current processes (if available), access to relevant systems for integration, and sample data for testing. We'll guide you on exactly what we need during kickoff.
That's the goal. We design for integration from the start, connecting to your CRM, ERP, ticketing system, or whatever's relevant. For complex legacy integrations, we may recommend working with one of our Integration Development partners.
You own everything we build. From there, you can operate it yourself, scale it with internal resources, or continue with us on a support retainer. We'll provide training and documentation so your team can maintain and extend the solution.
We establish baseline metrics before building and measure against them after launch. Time saved, errors reduced, tickets deflected, processing speed, whatever matters for your use case. You'll have data, not just opinions.
That's why we build iteratively. We test with real users and data, then refine before handover. Plus, you get 4 weeks of post-launch support to address any issues. The goal is a solution that actually works, not a demo that impresses.
We'll tell you. Sometimes the answer is traditional automation, process redesign, or a different approach entirely. Our job is to give you honest recommendations, not to sell AI for AI's sake.
Book a discovery call. We'll discuss where AI could help, assess what's feasible, and build a working solution you can measure.
