One-off. Full ownership of workflow + prompts at handover.
AI agents
your operations team
will actually use.
Custom WhatsApp and web AI agents for enquiry qualification, booking, quoting, dispatch, and customer support. Built on N8N, OpenAI, and Claude, wired into Google Sheets, Airtable, HubSpot, or Pipedrive. From £4,500 one-off, optional monthly maintenance from £400. Three to five week delivery. Full ownership of the workflow at handover.
Discovery → prompt engineering → integrations → go-live.
Prompt tuning, model migrations, weekly review dashboard.
The model is a component. The product is the pipeline.
N8N · OpenAI · Claude · HubSpot · Pipedrive · WhatsApp Cloud API
What an AI agent actually does.
Not a chatbot that answers FAQs. An agent that moves work through a defined pipeline with real integrations and real handover rules.
A well-built AI agent is a pipeline, not a chat window. A customer makes contact, the agent classifies intent, qualifies, pulls data from your systems, books or dispatches, logs to CRM, and passes to a human when the conversation needs judgement the model should not make.
The model decides what the user is asking. The product is the pipeline.
The model (OpenAI GPT or Anthropic Claude) is the reasoning layer. The orchestration layer (N8N) is the pipe that routes the conversation through your systems. The data layer (Sheets, Airtable, HubSpot, Pipedrive) is where the business context lives. Treat the model as a component, not the product. The product is the pipeline: the prompt engineering, the integrations, the handover rules.
Agents pay back fastest when you have repetitive qualification or dispatch happening at volume.
: ROI principle
High-volume, repetitive work. Not nuanced first-time consultations.
Agents pay back fastest when you have repetitive qualification, booking, or dispatch work happening at volume. A recovery business taking 40 WhatsApp enquiries a day benefits enormously. A bespoke law firm taking five complex enquiries a week probably does not, because the qualification is where the firm’s judgement lives. We will tell you honestly on the first call which category you fall into.
Every agent ships with handover triggers. Confidence thresholds, keywords, edge cases.
Every agent we build ships with human handover triggers. When the model is not confident, when the enquiry falls outside its scope, or when a specific keyword appears (refund, complaint, urgent), the conversation routes to a human with full transcript context. Agents do not drift in isolation: they drift if nobody is watching. We build the review dashboard so your team can audit interactions weekly.
Where agents actually work.
Sectors and workflows we have delivered in the last 18 months. If your use case is not here, ask, we are happy to say honestly whether it fits.
Recovery and roadside
WhatsApp agent takes the enquiry, checks location, qualifies vehicle and fault, quotes distance-based pricing, dispatches to the nearest available driver, logs to Sheets or HubSpot. Replaces overnight dispatcher on most enquiries.
Private clinic appointments
First-touch enquiry handler across web and WhatsApp. Qualifies appointment type (consultation, treatment, follow-up), checks practitioner availability, offers slots, books, logs to PMS. Front-desk time on inbound enquiries typically drops 30 to 50%.
E-commerce customer support
Web widget on Shopify or WooCommerce. Handles order status, returns workflow, basic product questions, with handover on anything complex. Support ticket volume to humans typically drops 40 to 60%.
B2B SaaS demo qualification
Intercepts demo requests on the marketing site, qualifies ICP fit (company size, role, use case), books qualified demos directly into the sales calendar, redirects unqualified to self-serve or nurture.
Home service quoting
Plumbing, electrical, HVAC. Agent qualifies the job, pulls the pricing matrix, quotes for standard jobs, books site visits for bespoke. Pricing stays consistent, quotes go out in seconds.
Law firm enquiry triage
Takes new enquiries across web and WhatsApp, triages by practice area, qualifies for conflict checks, books consultations for valid enquiries, passes to solicitors with full context.
How a build actually runs.
Five weeks from discovery to live agent, for standard-scope builds. Each week has specific deliverables rather than vague milestones.
Discovery and scoping
Kick-off call, use-case mapping, integration inventory, handover rule drafting, edge case cataloguing. Written scope document by end of week one.
Prompt engineering
System prompt drafted, tested against 30 to 50 representative enquiries (real or simulated), iterated until response quality is stable. First demo mid-week two.
Integrations and wiring
N8N workflow built, OpenAI or Claude connected, CRM and data-source integrations wired, handover triggers configured, WhatsApp or web channel integrated.
Testing and QA
Agent runs in shadow mode against real enquiry volume. Outputs reviewed daily. Prompts tuned, integrations hardened, handover thresholds calibrated.
Handover and live
Go-live, full documentation, credential handover, operating manual. Two weeks of post-launch monitoring included from here.
Optional maintenance
If you opt in to the maintenance retainer: weekly review dashboard, monthly prompt tuning, model migrations when OpenAI or Anthropic ship updates, integration monitoring.
Three build tiers, priced by scope.
Single-channel single-workflow at £4,500. Multi-workflow at £9,000. Enterprise dispatch and custom integrations at £18,000. Fixed price after the discovery call, not time-and-materials.
Single agent
£4,500
- 1 channel (WhatsApp or web)
- 1 workflow (qualify, book, or support)
- 1 CRM destination
- 1 data source (Sheets, Airtable, or CRM)
- System prompt engineering + testing
- Human handover rules
- Post-launch 2-week monitoring
- Full ownership, no vendor lock-in
Multi-workflow
£9,000
- 2 channels (WhatsApp + web together)
- 2 to 3 workflows (qualify + book + support)
- 2 data sources + CRM write-back
- Conditional routing and escalation logic
- Review dashboard + weekly sample QA
- Two-hour team training session
- Bilingual prompts (EN + AR/FR/ES on request)
- 30 days of daily post-launch tuning
Enterprise
£18,000
- Multi-channel WhatsApp, web, email, SMS
- Live dispatch / routing logic
- Custom integrations (ERP, PMS, bespoke APIs)
- Quoting engine with pricing rules
- Multi-language (up to 4 languages)
- Role-based access + audit logging
- SLA-backed delivery + dedicated lead
- 90 days of post-launch support
What every build includes.
Baseline deliverables at every tier. Scope and integration depth scale with tier.
Discovery and scoping
Written scope document by end of week one. Covers use case, integrations, edge cases, handover rules.
System prompt engineering
Drafted, tested against representative enquiries, iterated to stable response quality.
N8N workflow
Full orchestration workflow built, documented, and delivered. Self-hosted on your infrastructure or N8N Cloud, your choice.
Model integration
OpenAI or Anthropic Claude wired in, with honest guidance on which model fits the task and cost envelope.
CRM integration
HubSpot, Pipedrive, Salesforce, Zoho, or bespoke via webhook. Contact creation, conversation logging, next-action flagging.
Data source integration
Sheets, Airtable, or bespoke. Agent reads live business context rather than hallucinating answers.
Human handover
Configurable triggers: low confidence, out-of-scope intent, specific keywords. Full transcript passed to human.
Documentation and training
Full operating manual, credential handover, optional two-hour team training session.
Review dashboard
Weekly sample of live interactions for quality review. Essential for catching drift early.
Full ownership
You own the workflow, the prompts, the integrations, the code. No vendor lock-in.
Optional maintenance
Monthly prompt tuning, integration monitoring, model migration. From £400/mo.
Fixed-price quote
One number after discovery, not time-and-materials billing.
What we build on.
Standard integrations below. Custom integrations quoted on the discovery call.
Reasoning layer
- OpenAI GPT-5.5 family (current; GPT-5 retired Feb 2026)
- Anthropic Claude Opus 4.7 / Sonnet 4.6 / Haiku 4.5
- Model selection guidance by use case and cost
Orchestration
- N8N, self-hosted or cloud
- Webhook-driven workflows
- Scheduled and trigger-based runs
Channels
- WhatsApp Cloud API
- Web chat widget (hand-coded)
- Email intake via Mailgun or Sendgrid
- Twilio SMS on request
Data and CRM
- Google Sheets
- Airtable
- HubSpot
- Pipedrive
- Salesforce
- Zoho CRM
- Bespoke via webhook
Booking and payments
- Calendly and Google Calendar
- Cal.com
- Clinic PMS integrations (on request)
- Stripe payment links
Commerce
- Shopify (order status, returns, product lookup)
- WooCommerce
- Bespoke commerce via API
Pricing, with no surprises.
Fixed-price builds, quoted after the discovery call. Optional monthly maintenance billed separately.
The £4,500 Single tier covers a standard-scope build: one channel (WhatsApp or web), one workflow (qualification, booking, or support), one data source, and one CRM destination. The £9,000 Multi-workflow tier doubles scope: two channels together, two to three workflows, and conditional routing. The £18,000 Enterprise tier handles multi-channel dispatch, quoting logic, custom integrations, and multi-language prompts. Each tier is a fixed price, not a starting price.
The optional monthly maintenance retainer starts at £400 and covers weekly review sampling, monthly prompt tuning, integration monitoring, and model migrations when OpenAI or Anthropic ship new versions. It is not required, and a sensible in-house team can take the agent on maintenance themselves after handover. We document everything with that assumption in mind.
Payment is 50% on kick-off, 50% on go-live, consistent with how we invoice website projects. Maintenance is billed monthly in advance. Everything month-to-month after the first 90 days. No clawback on the build fee if you leave the maintenance retainer.
Ready to start? Book an AI agent call.
A short introduction, your site URL, and what you’re trying to achieve. If it’s a fit, we’ll book a 30-minute call.
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Will an AI agent actually save my business money?
For the right use case, yes. For the wrong use case, it will cost you more than a human answer would. Agents pay back fastest when you have repetitive qualification, booking, or dispatch work happening at high volume. If your enquiries are mostly nuanced first-time consultations, a human handles those better and the agent should stay on the first-touch layer only. We tell you honestly on the first call whether your use case justifies the build.
What stack do you build on?
N8N as the orchestration layer (self-hosted on the client stack or cloud, your choice), OpenAI or Anthropic Claude as the reasoning layer depending on the task, and Google Sheets, Airtable, HubSpot, or Pipedrive as the data layer depending on your existing systems. WhatsApp integration uses the official Cloud API. Web chat uses a hand-coded widget that we host or embed. No low-code lock-in, no vendor dependency that forces you into a monthly platform fee forever.
How long does a build take end to end?
Three to five weeks for most business agents. Week one is discovery and prompt engineering, week two is integrations and wiring, week three is testing and QA against real enquiries, weeks four and five are handover and monitoring. Complex dispatch or quoting agents with heavy external data dependencies can push to six or seven weeks, and we flag that on the first call rather than promising a timeline we cannot hit.
What happens when the agent gets something wrong?
Every agent we build ships with human handover triggers. When the model is not confident, when the enquiry falls outside its scope, or when a specific keyword appears (refund, complaint, urgent), the conversation routes to a human with full transcript context. We also build a weekly review dashboard so your team can audit a sample of interactions and flag prompts that need tuning. Agents do not drift in isolation, they drift if nobody is watching.
Can you integrate with our CRM?
Yes. Standard integrations with HubSpot, Pipedrive, Salesforce, Zoho, and most modern CRMs via webhook or native node. We also write custom integrations where the CRM is older or bespoke. The agent typically creates the contact, logs the conversation, and flags the next action, so your sales team picks up context rather than restarting the conversation.
Is the £4,500 a final price or a starting price?
It is the starting price for a standard-scope agent: one channel (WhatsApp or web), one data source, one workflow (qualification, booking, or support). Multi-channel, multi-workflow, or custom-integration builds scale from there. Most builds land between £4,500 and £9,000. Enterprise dispatch agents with live routing logic can sit higher. We quote a fixed price after the discovery call, not a time and materials invoice that balloons.
What is the optional monthly maintenance?
Prompts drift, APIs change, models update, and business rules evolve. The optional maintenance retainer from £400 per month covers monthly prompt tuning, integration monitoring, model migrations when OpenAI or Anthropic ship a new version, and a weekly review dashboard of agent performance. Not required, and plenty of clients maintain agents in-house after handover. We hand over full documentation either way.
Who owns the agent after you build it?
You do. Full ownership of the N8N workflow, all prompts, all integrations, all code. We hand over the repo or workflow JSON, documentation, credentials, and a written operating manual. No vendor lock-in, no ongoing licence fee to us, no dependency on our hosting. If you want to take the whole thing to another developer tomorrow, you can.
One channel or many? One-day reply, written by Syed.
WhatsApp, web, dispatch, CRM hooks. We scope by workflow count and integration depth on the first call. Built on N8N, OpenAI and Claude.
Ready to see if an agent fits your operation?
Send the channel (WhatsApp or web), the workflow (qualification, booking, dispatch, support), and rough monthly volume. We reply inside a working day with an honest view on fit and a scoped build.
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