Repetitive support queries pile up fast. Your team spends hours typing the same answers about order status, opening hours and account questions, and the off-the-shelf chatbot you tried didn’t help much because it couldn’t follow how your business actually works. Generic tools tend to do that: they make you change your workflow to fit them, they don’t connect properly to the systems you already run, and the monthly bill keeps climbing as your team and chat volume grow.
We build custom chatbot automation software around how your business runs. Our UK-developed solutions fit your existing customer service and sales processes instead of replacing them, and there’s no per-seat or per-conversation licence to worry about. We’re based in London, you own the code and the conversation data, the bot connects directly to your other systems, and you get support from people you can actually reach.
To be straight about it: if you handle fewer than about 50 support chats a day, your conversations are simple FAQ-style questions, and you’re happy inside one ecosystem, a SaaS tool like Tidio or Intercom is probably enough. Custom work earns its place when volume is high, your workflows are genuinely your own, or you need real control over integrations and compliance.
Where off-the-shelf chatbot tools fall short
Pre-built platforms promise efficiency and often deliver frustration instead. Here’s what comes up again and again:
- Pricing that punishes growth. Per-seat and per-conversation billing climbs faster than your customer base. A team that grows from 10 to 50 agents can watch its bill jump from roughly £1,000 to over £7,000 a month, and AI interactions are often capped and charged separately on top.
- Rigid conversation logic. Bots follow predefined paths and fail the moment a customer phrases something unexpectedly. Industry research consistently finds a large share of chatbot interactions end without resolving the customer’s problem.
- Broken escalation. Around one in five handovers loses context. The bot passes “Customer” to an agent instead of the actual problem, and the customer has to explain everything again. Worse, many bots won’t admit they’re stuck and just loop back to the FAQ.
- Weak integration. Native connectors are limited, so most setups lean on Zapier or Make to reach your CRM or ERP. That adds 15–30 seconds of latency, per-task costs, and silent failures when a webhook drops or an OAuth token expires.
- Shallow reporting. Dashboards track deflection rate and little else. They don’t show escalation failures, CSAT or time-to-resolution, so a bot that’s quietly annoying customers can still look like it’s working.
- Vendor lock-in. Flow formats are proprietary and exports are awkward. When you outgrow a platform, migrating to another can take four to eight weeks and a meaningful professional-services bill.
- Compliance gaps. Audit trails and data residency controls are often thin, which is a real problem if you’re FCA-regulated, NHS-aligned, or simply need to answer a data subject access request properly.
The result is workarounds, long tuning cycles, and software that never quite delivers what it promised. Quick to deploy, slow to pay off.
What we build instead
Our UK-based development turns a chatbot from a box you squeeze into to something that works the way you do.
Conversations that follow your rules
We design around your customer service workflows, your sales process, your support desk, no predefined templates. The bot follows your conditional logic: route an expense query to the right manager based on amount and department, apply your refund policy including the exceptions, handle the multi-step approval that a SaaS template can’t. It sounds like your brand, not a vendor’s avatar.
Direct integration, not Zapier glue
The bot talks to your systems through proper API integrations, so it reads a live Salesforce account, checks real-time stock in your ERP, or pulls a Shopify order in under a second. No 15–30 second relay through a third-party automation tool, no per-task fees, no stale data in the middle of a conversation.
Escalation that actually hands over
When the bot can’t help, it says so and routes to the right person, by skill, language, region or availability, not a random queue. The full conversation history travels with the customer, so your agent sees the problem instead of a blank ticket. Detected frustration or repeated failure escalates early, before the customer is angry.
Predictable cost, any volume
A single development investment instead of a recurring per-seat or per-conversation fee. Whether you handle 100 chats a day or 10,000, the platform cost doesn’t move with usage, and there are no surprise overage bills when a product launch or Black Friday floods your support.
Compliance built in, not bolted on
We build to UK GDPR and the Data Protection Act 2018 from the start: consent at the point of chat, configurable retention, PII redaction in logs, and audit trails that make DSARs and erasure requests routine. For FCA-regulated or NHS-aligned work we can support UK or on-premise data residency and longer retention.
Room to grow
The design is modular. Add new conversation flows, integration endpoints, channels, languages or sentiment-driven routing later without starting over or paying to migrate.
Support from London
Our team handles implementation, troubleshooting, feature changes and the ongoing tuning a chatbot needs, and you talk to us directly.
Features we build in
Every custom solution covers the fundamentals, plus whatever your business specifically needs.
Conversation engine
Intent recognition and entity extraction that works out what the customer actually wants, handles your industry’s jargon, and answers properly even on the awkward questions. We can fine-tune on your own domain language for far better accuracy than a generic model.
Multi-channel deployment
Website widget, WhatsApp Business, SMS and social messaging, running together with a consistent experience and shared conversation history across channels.
Agent handoff with full context
A live chat dashboard where agents pick up conversations with the whole history, detected intent and sentiment in front of them, plus skill-based routing so the right person gets the conversation.
Knowledge base integration
The bot retrieves answers from your FAQs, help docs and policy content. Update the source and the answers update, no stale advice drifting out to customers.
Automated actions
Chat interactions trigger real backend work: checking an order status, confirming a booking, creating a CRM lead, raising a support ticket or scheduling an appointment.
Reporting that goes beyond deflection
Conversation volume and peak hours, deflection rate, escalation failure rate, first-response time, intent accuracy and channel mix, exported to your BI tools if you want them there.
Compliance and audit logging
Searchable conversation logs, configurable retention, automatic PII redaction, consent capture and erasure tooling, all built around UK GDPR.
Security
Encryption in transit and at rest, role-based access control, and access tied to each agent’s permissions and team.
Integration API
A REST API for moving data both ways between the chatbot and your other applications, with webhook signing and retry logic so handoffs and syncs don’t fail silently.
Proactive and scheduled messaging
Behaviour-triggered prompts such as cart-abandonment recovery, plus follow-ups sent after a delay when a conversation is left unresolved.
How we build it
Discovery and planning (1 to 2 weeks)
We dig into the requirements, map your conversation use cases, decide which systems need to connect, and write the technical spec. This is also where we set realistic deflection targets, somewhere around 30 to 50 percent for a FAQ-led bot, rather than promising you 90 percent.
Knowledge and conversation design (2 to 4 weeks)
We curate your FAQ and policy content, design the conversation flows and escalation paths, and prepare the training data. Curating outdated or scattered FAQ content is usually the slowest part, and the part that decides whether the bot is any good.
Development and integration (6 to 10 weeks)
We build the conversation engine, wire up the direct integrations, create the agent dashboard, and tune intent recognition against real customer phrasing.
Testing and soft launch (2 to 4 weeks)
Quality assurance, escalation testing, integration testing in staging, then a phased rollout to a small group of customers while we watch deflection and sentiment before going wide.
Tuning and support (ongoing)
Staff training, documentation, support after launch, and optional retainer packages. A chatbot is not a deploy-and-forget system: intent accuracy drifts as customers change how they ask, so ongoing tuning keeps it useful.
A focused first release usually takes 6 to 10 weeks. A fuller production build with multiple integrations, multilingual support or compliance logging typically runs 4 to 6 months.
What it costs
Custom development costs more upfront than a SaaS subscription. Over a few years it usually works out cheaper, and you get a tool that does more.
As a rough guide for a custom build:
- A focused first release, a FAQ and escalation bot with web chat and one or two integrations, typically lands around £15,000–£35,000
- A fuller production build, multilingual, with five or more integrations and compliance logging, is usually £40,000–£80,000
- Each additional integration tends to add a few thousand pounds; each extra language adds more; a voice or phone channel is a larger piece of work
Set against that, the SaaS alternative meters you. Per-seat platforms scale with headcount and per-conversation platforms scale with volume, so a busy 50-agent deployment can cost tens of thousands a year and keep rising. There are also the hidden costs: setup and migration fees, paid-for extra integrations, storage overages, premium model charges per message, and four-to-eight-week exit projects when you outgrow a template.
The main commercial advantages of owning the build are predictability and control: a fixed cost that doesn’t move with usage, no per-conversation meter, no vendor price rises, and no migration bill later. Where the price lands depends on integration count, conversation complexity, channels, languages and compliance scope.
We’ll give you accurate pricing after a free consultation, once we understand what you actually need.
How different industries use it
Custom solutions adapt to whatever a sector needs.
E-commerce and retail
Order tracking pulled live from Shopify, returns and exchange handling, real-time stock checks, product recommendations, and proactive cart-abandonment messages that bring customers back to checkout.
Hospitality and travel
Booking enquiries by dates, location and group size, check-in instructions, WiFi and facility information, room-issue reporting, and multilingual support for international guests.
Financial services
Account and balance lookups, application and claim status, mortgage and loan pre-qualification routed to an officer. Every interaction logged for FCA audit, with the longer retention and identity-verification steps regulated work requires.
Healthcare and wellness
Appointment booking against clinician availability, symptom triage that points patients to the right type of visit, prescription and medication reminders, and pre- and post-care FAQs, on infrastructure that meets NHS data security expectations.
Professional services
Appointment scheduling, document collection during client onboarding, FAQ handling, and qualifying new enquiries before they reach a fee earner.
HR and employee services
Leave requests collected and routed to the right manager for approval, expense submission with receipt validation, and benefits-eligibility questions answered against your policies and the employee’s role.
Manufacturing and B2B
Order tracking, technical support drawing on equipment documentation, spare-parts ordering, and account queries connected straight to your ERP.
Public sector
Permit and licence application intake with document collection, citizen FAQs such as bin collections and council services, and escalation to a caseworker, built to WCAG 2.1 accessibility standards.
Every build comes with conversation flows, compliance work, and integrations specific to your industry.
Common Questions About Custom Chatbot Automation Software
How does the cost of a custom build compare to a SaaS chatbot?
A custom build costs more upfront, usually £15,000–£35,000 for a focused FAQ and escalation bot with a couple of integrations, and more for multilingual, multi-channel, or compliance-heavy work. SaaS looks cheaper at first, but per-seat and per-conversation pricing climbs steeply as your team or chat volume grows: a 50-agent deployment on a per-user platform can run well over £5,000 a month. Custom development gives you a fixed, predictable cost and no per-conversation meter. We give you accurate figures after discovery, once we know your integration and volume profile.
How long does a custom chatbot take to build?
A focused first release (FAQ deflection, web chat, escalation with full context handoff) typically takes 6 to 10 weeks. A fuller production build with multiple integrations, multilingual support, or compliance logging usually runs 4 to 6 months. We scope a phased plan during discovery so you get something live early and add to it.
Can you connect the chatbot directly to our CRM and other systems?
Yes. We build direct API integrations to systems like Salesforce, HubSpot, Shopify, Zendesk, Xero and bespoke ERPs, rather than relying on Zapier or Make as a bridge. That means the bot reads live order, account and ticket data in real time instead of working from stale copies, and there is no third-party automation latency or per-task fee in the chat path.
How do you stop the chatbot frustrating customers?
Most chatbot complaints come from rigid bots that loop, hide the human contact option, or escalate without passing on context. We design a clear, always-available route to a person, escalate early on repeated failure or detected frustration, and carry the full conversation across so nobody has to repeat themselves. We are honest about what a bot should and should not handle.
What about UK GDPR and regulated sectors?
We build to UK GDPR and the Data Protection Act 2018: explicit consent at the start of a chat, configurable retention, PII redaction in logs, and audit trails that make data subject access requests and erasure straightforward. For FCA-regulated finance or NHS-aligned healthcare work we can support UK or on-premise data residency and the retention and audit requirements those sectors demand.
What happens after launch?
You own the code and the conversation data outright, so there is no vendor lock-in. A chatbot needs ongoing tuning, intent accuracy drifts as customers phrase things differently, so we include support after launch and offer retainer arrangements for tuning, new flows and added integrations. We can also train your team to manage routine updates.