Put business knowledge into customer conversations.
Customer conversations connected to business knowledge, lead capture and a practical operator interface.
Client buildRead the case
AI solutions / Agents and automation
AI that does
a specific job.
From live chat to backend automation. Tell me what's slowing you down, and we work out what to build, how it connects to the tools you already run, and how you check that it behaves.
Setup and integration of OpenClaw for business workflows is also available, alongside custom builds. See the OpenClaw page for how that work is scoped.
Built around your existing toolsCapabilities
What can be built.
- 01
Custom AI Agents
Agents trained on your docs, products, and tone — handling support, triage, or onboarding without you hiring for it.
- 02
Live Chat Integration
Drop a chatbot on your site that knows your product and pricing, and hands off to a human when it should.
- 03
Intelligent Automation
Wire AI into your workflow so the repetitive work runs in the background while your team does the rest.
- 04
Backend Intelligence
Pipelines, classification, summarisation. Quiet AI plumbing that speeds up the parts of your business customers don't see.
- 05
Machine Learning Models
Custom ML models trained on your data to predict trends and inform decisions you'd otherwise make on a hunch.
- 06
Real-time Processing
Fast AI responses that scale with traffic — handle thousands of interactions without queuing your customers.
- 07
Secure by Default
End-to-end encryption and standard compliance practices, so your data stays where it belongs.
- 08
Always Available
Agents that keep responding overnight, on weekends, and through the awkward gaps in your support cover.
Applications
Where it usually starts.
E-commerce Support
Order tracking, product questions, and returns — handled without a queue.
Lead Qualification
Chatbots that qualify leads, book appointments, and route enquiries to the right team.
Customer Onboarding
Guided onboarding so new customers get to value quickly instead of getting stuck.
Technical Support
Troubleshooting that resolves common issues on the spot, and escalates the rest cleanly.
Implementation work
Two examples in detail.
Get a broken workflow working again.
Transcript recovery, API troubleshooting and structured research outputs, alongside AI-agent development and testing.
Consulting engagementRead the case
Questions
Common questions about AI builds.
What types of AI solutions do you offer?
Custom AI agents, chatbots, workflow automation, backend intelligence, and ML models. Each one is shaped to your business and integrates with what you already use.
How long does it take to implement an AI chatbot?
Usually 2–6 weeks, depending on complexity. That covers consultation, training on your data, integration, testing, and rollout — plus team training so it doesn't sit unused.
Can AI solutions integrate with our existing systems?
Yes. We work with the common CRMs, help desks, and e-commerce platforms, and we'll build custom integrations for proprietary systems where needed.
How do you train AI models on our specific business data?
We train on your documentation, FAQs, product info, and historical customer interactions. Data is handled with standard security and compliance practices, and the agent keeps learning from new interactions.
What kind of support do you provide after implementation?
Performance monitoring, regular optimisation, technical support, and continuous training updates so the AI keeps pace with how your business changes.
How much does a custom AI solution cost?
It varies with complexity and scale. We offer packages from a single chatbot through to wider automation programmes. Get in touch for a quote shaped to what you need.