[ FAQ ]
Your Questions, Answered
Answers to the most common questions about pricing, project timelines, the tools we use, integrations with your stack, and post-launch support.
General Questions
How do I know which pricing plan is right for me?
In a free intro call we assess your needs and recommend the plan that fits you best. Depending on the project scope, we offer either a fixed price or a monthly retainer model.
Do you offer monthly or subscription-based pricing?
Yes, we offer both project-based fixed pricing and a monthly subscription model for ongoing support and development.
Which tools and platforms do you work with?
We work with modern AI and automation tools such as LangChain, PyTorch, TensorFlow, n8n, Zapier, Make, Python, Next.js, Supabase, PostgreSQL, AWS, and Vercel.
How long does an AI project usually take?
Simple automation solutions can take 2-4 weeks, while comprehensive AI agent systems may take 6-12 weeks. We aim to put a first working version in front of you within the first 2 weeks.
Do you provide ongoing support after the project?
Yes, post-launch support is included with every project. We offer monthly support packages for performance monitoring, optimization, and continuous improvement.
Can you integrate AI with my existing tools and systems?
Yes, we build API-based integrations with CRM, ERP, email, Google Workspace, Slack, and many other platforms.
Questions About Our Services
[ AI Automation ]
Do we need to replace our existing systems for automation?
No. We build on top of the CRM, email and spreadsheet tools you already use, connecting them through APIs without disrupting how your team works.
How quickly can you ship the first automation?
It depends on scope, but the first working workflow usually goes live within 2-4 weeks — and you can measure the hours saved from the first weeks onward.
[ AI Agent Development ]
What is the difference between an AI agent and a chatbot?
A chatbot answers questions; an agent understands context, makes decisions and takes action — opening tickets, updating records, moving processes forward. We add human approval on critical steps.
How do you prevent agents from making mistakes?
We work with validated outputs, access controls and human approval steps. Every decision is logged, and when the agent is unsure it hands the task to a human.
[ AI Chatbots ]
Is the chatbot trained on our own data?
Yes. We train the bot on your website, product documentation, FAQ content and past support conversations — so it answers accurately, in your brand's tone of voice.
What happens when the bot can't answer a question?
It hands the conversation to a human agent along with a summary. The customer never has to repeat themselves, and your team picks up with full context.
[ AI Consulting ]
How does the consulting process work?
We start with a free discovery call, analyse your processes, prioritise the opportunities and deliver an actionable roadmap. If you like, we handle the implementation too.
We don't have a technical team — is consulting right for us?
Yes. We design solutions that don't require in-house engineers, train your team to use them, and continue supporting you after launch.
Didn't find your answer?
Send us your question, or book a free 30-minute intro call.