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Discovery & Scoping
Working with you to identify the processes, workflows and challenges where AI can add real value.
Zerothcode helps organisations use AI to streamline operations and workflows - guiding you from early exploration through to a working, integrated solution.
Whether you're still working out what AI could do for your business or ready to build something specific, we help refine the requirements and deliver an integration that fits how you actually work.
AI presents real opportunity, but also real complexity. For many businesses, the challenge isn't whether AI could help - it's knowing where to start, which tools are actually worth trusting, and how to introduce them without disrupting what already works.
That's where we come in. We bring technical development and system-integration experience to help you work out where AI can genuinely add value, and build it properly rather than bolting on something that doesn't fit.
Working with you to identify the processes, workflows and challenges where AI can add real value.
Matching the right approach to the need - from automation and chat-based tools to more data-driven features.
Building and connecting the solution into your existing web app, mobile app or back-office systems, starting with a testable version where appropriate.
Measuring real-world impact and refining the solution as confidence and requirements grow.
A practical approach, built around how your business actually operates rather than a fixed package.
No fixed packages - AI integrated to fit the way your business already works.
Testing what works with a proof-of-concept or MVP before wider rollout.
You work directly with the people scoping and developing the integration - not layers of account management.
Sensible security practices built into how we develop and integrate solutions.
From initial scoping through build and ongoing support.
Framed as who we can help, not a list of past clients.
Does the partner build around one rigid tool or vendor, or can they adapt the approach to fit your systems?
Does the solution reflect how your business actually works, or is it a generic wrapper around a model?
Is there a proof-of-concept or pilot step before full rollout, or does everything go straight to production?
What happens after go-live - is there ongoing support, or does the relationship end at delivery?
Tell us about your workflows and where you think AI might help - we'll give you a practical, honest view.
Discuss Your ProjectAI integration typically means adding a defined AI capability into a system you already have - a chatbot, an automation, a search feature. AI Agent Development goes further, building more autonomous agents that carry out multi-step tasks. Many projects start with a focused integration first.
No - if you're not sure where AI could genuinely help, that's exactly what discovery and scoping is for. We'd rather help you find a well-defined starting point than build something speculative.
We plan integrations to work alongside what you already have, not replace it outright, and we test before wider rollout wherever practical. That said, any change to a live system carries some risk, which is why we favour a proof-of-concept or MVP step first.
It depends on the scope - a focused integration is very different from something touching multiple systems. We give you a realistic estimate once we understand what you're trying to achieve, rather than a fixed timeline upfront.
Yes - AI tools and APIs change over time, so ongoing monitoring and adjustment is often part of keeping an integration working well. See Web & App Maintenance & Support.