ASheet 01 / 04 — Services
AI & Automation
Put AI to work where it counts.
We design and build AI-powered applications, intelligent agents and automated workflows that solve real business problems — and fit into the systems you already run.
A.1 — Parts list
What's included
AI applications, intelligent agents and automated workflows that do real work for your business.
| Ref | Capability | Description |
|---|---|---|
| A-01 | Generative AI applications | Assistants, copilots and content tools built on leading language models and grounded in your own data. |
| A-02 | AI agents | Agents that reason through tasks, call your APIs and complete multi-step work — with guardrails and human oversight. |
| A-03 | Voice & conversational AI | Voice agents and chat experiences for support, bookings, follow-ups and everyday enquiries. |
| A-04 | Knowledge & retrieval | Search and question-answering across your documents, knowledge bases and internal data. |
| A-05 | Workflow automation | Automating repetitive processes across email, documents, CRMs and back-office tools. |
| A-06 | Evaluation & AI operations | Testing, monitoring and cost control that keep AI features reliable once they're live. |
- 01Customer-support assistants
- 02Internal knowledge copilots
- 03Document processing pipelines
- 04Lead qualification agents
- 05Booking and follow-up voice agents
- 06Reporting and analytics automation
- OpenAI
- Anthropic Claude
- Google Gemini
- Open-source LLMs
- LangChain
- Vector databases
- Python
- TypeScript
We choose tools to fit your goals, team and existing systems — not the other way round.
A.4 — Assembly sequence
How we deliver
- 01
Discover
We get to know your goals, users and constraints, and agree what success looks like.
- 02
Design
We shape the solution — architecture, experience and plan — before a line of production code.
- 03
Build
We deliver in short cycles with regular demos, so you see real progress every step.
- 04
Launch & scale
We release with care, measure what matters and keep improving as you grow.
A.5 — Notes
Questions
Q01Do we need to train our own AI model?
Usually not. Most business problems are best solved with existing models, connected carefully to your data and systems. We recommend custom training only when it clearly pays off.
Q02How do you handle our data?
Each solution is designed around your data policies: where data is processed, what a model is allowed to see, and what is kept out of prompts and logs.
Q03Can we start with a small pilot?
Yes. A focused proof of concept is often the best first step — it validates the value before you invest in a production rollout.
Let's spec your AI & Automation project.
Share what you're planning. We'll come back with questions, ideas and a practical way to get started.