Concept project
04AI Automation
Practical AI that works quietly in the background.
AI built into your existing tools — qualifying leads, answering routine questions, and drafting content — with people kept in control.
Overview
What this service does for your business.
AI is useful when it is pointed at a specific, well-understood problem. It is expensive and risky when it is bolted on for the sake of it. We help businesses find the handful of workflows where AI genuinely saves time or improves service, and then build those carefully.
Our AI automations are grounded in your own content and data, connected to the tools you already use, and designed with clear limits: what the system may do on its own, what needs human approval, and when it should hand over to a person.
01
Faster responses
Routine questions and enquiries are answered or triaged immediately, at any hour, in a consistent voice.
02
Better-qualified pipelines
Incoming leads are enriched, scored, and routed so your team spends time on the conversations most likely to convert.
03
Humans stay in charge
Approval steps, confidence thresholds, and clean handoffs keep people responsible for the decisions that matter.
Deliverables
What's included.
Every engagement is scoped to your needs. These are the building blocks we combine for this service.
AI workflow design
A practical assessment of where AI helps your business — and where it doesn't — with a costed, prioritized plan.
Grounded chatbots
Website and support assistants that answer from your approved content, cite sources where useful, and hand over to a human when unsure.
Lead qualification & routing
Inbound enquiries classified, enriched, scored against your criteria, and routed to the right person in your CRM.
Support automation
Ticket triage, tagging, suggested replies, and summaries that help your support team resolve issues faster.
Content workflows
Assisted briefs, first drafts, and repurposing pipelines with editorial review built in — never auto-publishing unchecked output.
Intelligent integrations
Language-model capabilities connected to your CRM, help desk, inbox, or internal tools through secure, monitored integrations.
How we work
Our ai process.
- 01
Identify the use case
We pick a workflow with a clear owner, measurable outcome, and acceptable risk profile.
- 02
Prototype with your data
A working prototype using your real content shows what the system can and cannot do before full investment.
- 03
Guardrails & evaluation
Test sets, scope limits, fallback rules, and human-approval steps are defined and validated.
- 04
Roll out & monitor
A staged rollout with logging, cost tracking, and regular review of output quality.
Tools & technology
- OpenAI API
- Anthropic Claude API
- Google Gemini API
- Retrieval & vector search
- n8n
- Make
- Zapier
- Python
- Node.js
- HubSpot
- Zendesk / Intercom
We choose tools for each project — this list shows what we commonly use, not a fixed recipe.
A good fit for
- Teams answering the same customer questions repeatedly
- Sales teams that need faster, more consistent lead follow-up
- Businesses producing content at a pace that strains their team
- Companies that want AI capability without uncontrolled risk
Related concept work
See the thinking in practice.
Original concept projects that use this service. They illustrate our approach — they are not client case studies.
Concept project
Will AI replace my team?
That is not how we design these systems. The goal is to remove repetitive work so your people can focus on judgment, relationships, and complex cases. Most of our workflows keep a human approval step for anything consequential.
How do you stop a chatbot from making things up?
We ground answers in your approved content, restrict the assistant to a defined scope, require it to defer when it lacks information, and test it against realistic question sets before launch. This significantly reduces the risk of inaccurate answers, although no AI system can eliminate it entirely — which is why handoff to a human is always available.
What about data privacy?
We minimize the personal data sent to AI providers, choose providers and settings with appropriate data-handling terms, and design around your obligations under laws such as the GDPR. We'll flag where you should involve your own legal or compliance advisers.
What does it cost to run?
Most AI services are billed by usage. We estimate running costs before building, design workflows to keep them predictable, and set up monitoring so there are no surprises.
Do we need a lot of data to start?
Usually not. Many useful assistants are built from content you already have — FAQs, help articles, policies, product information, and past support conversations.
AI Automation
Have a workflow AI could take off your plate?
Tell us what your team does repeatedly and which tools are involved. We'll give you a candid view of what AI can — and can't — do for it.
We aim to reply to every inquiry within two business days.