Customer support
Support assistant
Answers customer questions from your help docs, with hand-off to a human.
AI Development
AI assistants, chatbots and agents — built around your business
Custom AI chatbots, copilots and agentic workflows that use your own data and systems to answer questions, automate work and serve customers around the clock.
- LLMs (Claude, GPT…)
- RAG on your data
- Agentic workflows
- Chat, web & WhatsApp
The problem & the solution
Why this matters
The problem
Off-the-shelf chatbots are generic, can't see your data and quickly frustrate customers. Meanwhile teams spend hours on repetitive work AI could handle — and everyone is talking about AI, but few have shipped something that actually helps.
Our solution
We build practical, reliable AI into your business: assistants and chatbots grounded in your own content and systems (so they answer accurately, not vaguely), copilots that speed up your team, and agentic workflows that carry out multi-step tasks — using modern LLMs, integrated with your tools and built with proper guardrails.
What's included
Everything you get
A clear, fixed scope agreed upfront — no vague deliverables.
AI assistants & chatbots
- Customer-facing chatbot / assistant
- Grounded in your data (RAG) — accurate answers
- On your website, WhatsApp, Slack and more
- Smart hand-off to a human when needed
Agents & automation
- Multi-step AI agents that take actions
- Tool / API calling and workflow automation
- Document processing (extract, summarise, route)
- Copilots that speed up your team
Data & integration
- Connect to your docs, database and systems
- Embeddings and vector search
- Integration with your existing software
- Model choice per use case (swappable)
Quality & responsibility
- Guardrails and safety controls
- Evaluation and accuracy testing
- Monitoring and cost control
- Deployment and ongoing iteration
Typical project process
How we deliver
A transparent process so you always know what happens next.
- 13–5 days
Discovery
We pick the highest-value use case, review your data, and define success.
- 21–2 weeks
Prototype
A working proof of concept on your real data, so you can judge it early.
- 32–6 weeks
Build
We build the assistant/agent, integrations and guardrails in milestones.
- 43–5 days
Evaluate
We test accuracy and safety against real questions, and tune.
- 5ongoing
Deploy & iterate
Go live, monitor, and improve based on real usage and feedback.
Timeline & investment
Indicative timeline & pricing
Typical timeline
3–12 weeks
A focused chatbot or assistant is typically 3–6 weeks; multi-step agents and deeper integrations run 8–12 weeks or are phased.
Indicative price
from $4,000
Range: $4,000 – $80,000+
Indicative, project-based pricing. Note that AI models and infrastructure carry ongoing usage costs (paid to the provider) that depend on volume.
Examples
Relevant project examples
Representative of the work we deliver in this area. Live references available on request.
Internal / knowledge
Team knowledge copilot
Staff ask questions across company documents and get instant, sourced answers.
Operations
Document-processing agent
Extracts, summarises and routes incoming documents automatically.
FAQ
Frequently asked questions
What can an AI assistant or chatbot actually do?+
Answer questions from your own documents and website, support and qualify customers, help staff find information, book or route requests, and automate repetitive tasks — 24/7, in multiple languages.
Will it use our own data — and stay accurate?+
Yes. We use retrieval-augmented generation (RAG) so the assistant answers from your approved content rather than making things up, with guardrails and a human hand-off for anything it shouldn't answer.
Which AI models do you use?+
Leading LLMs such as Claude and GPT, chosen per use case for quality, cost and privacy — and swappable as the field evolves, so you're not locked in.
Do you build AI agents, not just chatbots?+
Yes. Beyond Q&A, we build agentic workflows that take multi-step actions via tools and APIs — for example processing a document, updating a system, or completing a task end to end.
Where can the assistant live?+
Your website, WhatsApp, Slack, or inside your internal tools — wherever your customers or team already are.
What does it cost to run?+
Beyond the build, AI models and infrastructure have usage-based costs paid to the provider, which scale with volume. We design for accuracy and cost-efficiency and are transparent about the running costs.
Start your project
Have an idea or challenge? Let's scope it.
Tell us about your project. We'll reply within one business day with clear next steps and an indicative estimate — no obligation.
- Fixed, transparent scope
- Reply within 1 business day
- You own what we build