Delayed replies
New enquiries wait until someone becomes available. By the time a person responds, the customer may have moved on.
AI CHAT AGENTS
Turn every customer conversation into a resolved request or a qualified next step.
We build AI chat agents that answer questions, qualify enquiries and complete routine customer tasks across your website and messaging channels. AI agents work with approved business knowledge, connect to your systems and hand over conversations when human judgement is required.
Website chat · WhatsApp · Customer portals · Internal copilots
Built with leading
AI technologies
Built with leading
AI technologies
Your team should not spend the day repeating answers.
Most support and sales teams are not overloaded by difficult conversations. They are overloaded by recurring questions, missing context and requests that must be copied from one tool into another.
Repeated questions
Your team answers the same questions about pricing, delivery, availability, policies and account details every day.
Disconnected context
The answer exists, but it is spread across a CRM, knowledge base, e-commerce platform, inbox and internal documents.
Manual follow-up
Even a simple chat often ends with a person creating a lead, updating a record or forwarding information by hand.
WHAT CHANGES
The agent does more than send a reply.
A useful chat agent understands the request, retrieves the right context and moves the conversation towards an outcome.
01
Respond
Give customers useful answers at the moment they ask, including outside normal working hours.
02
Qualify
Collect the details your sales or service team needs before a person joins the conversation.
03
Resolve
Complete routine requests such as order checks, appointment enquiries, document collection or account guidance.
04
Update
Write approved information back to your CRM, ticketing system, booking platform or internal workflow.
- Shorter response times
- Fewer repetitive tickets
- Better-qualified enquiries
- Less manual administration
MANUAL VS AUTOMATEDWhat changes when AI
What changes when AI
takes over manual work.
Most businesses do not need more software. They need fewer manual handoffs between customers, teams and the tools they already use.
Less manual work
Data entry, email sending and repetitive actions across systems happen automatically.
Faster processes
Requests are processed and routed automatically, without extra manual work.
More operating capacity
Your team can handle more customers and higher enquiry volumes without increasing administrative work.
Where chat agents create immediate operating capacity.
The best starting point is a high-volume conversation with a clear answer, action or escalation path.
Customer support
Answer recurring product, policy, delivery and account questions using approved knowledge.
Lead qualification
Ask the right questions, identify intent and create a structured lead before sales follows up.
Order and delivery support
Retrieve order status, explain the next step and raise an exception when intervention is needed.
Appointment enquiries
Collect service details, check availability and guide the customer towards a confirmed booking.
Customer onboarding
Explain requirements, collect missing information and keep customers moving through the process.
Internal knowledge assistant
Help employees find procedures, product information and operational answers without searching across documents.
Context in. Useful action out.
The agent is built around four layers. Each layer is tested independently so the system remains understandable and controllable.
01
Knowledge
We connect the approved sources the agent may use: documentation, policies, product data, CRM records, help-centre content and internal systems.
02
Behaviour
We define what the agent should answer, what it may do, what it must never do and when it must involve a person.
03
Actions
The agent can trigger approved actions such as creating a lead, checking an order, submitting a form or updating a ticket.
04
Handover
Complex, sensitive or low-confidence conversations are transferred with the full transcript and collected context.
DELIVERABLES
A working customer channel, not a chatbot prototype.
The exact scope depends on the channel, system access and risk level. We define the acceptance criteria before development begins.
- Conversation and use-case design
- Approved knowledge-source setup
- Agent instructions and guardrails
- Website or channel implementation
- CRM and workflow integrations
- Human handover logic
- Test scenarios and acceptance criteria
- Usage and quality monitoring
- Team documentation and walkthrough
- Post-launch optimisation plan
Built into the systems your team already uses.
A chat agent becomes valuable when it can work with real customer and operational context. We integrate through available APIs, webhooks and secure middleware. When a direct integration is not practical, we define a controlled alternative rather than forcing a fragile connection.
Customer systems
CRM, ticketing, help desk and customer portals.
Commerce and booking
E-commerce platforms, inventory, scheduling and reservation systems.
Internal knowledge
Documentation, structured databases, files and approved content sources.
Workflow tools
Automation platforms, notifications, task management and reporting.
No forced platform migration. No vendor lock-in by default.
SEE IT WORK
Test the agent on a real slice of your business.
During the initial review, we can use a limited set of approved content to demonstrate how the agent would answer, qualify and escalate. This gives your team something concrete to evaluate before committing to a full implementation.
- Answers grounded in your information
- A structured qualification flow
- One system action or workflow trigger
- A controlled human handover
- Initial gaps in content or process design
Start with one conversation worth automating.
01
Review
We select a high-volume use case, review the available knowledge and define the desired business outcome.
02
Pilot
We build and test a focused agent against real examples, edge cases and handover scenarios.
03
Rollout
The agent is deployed to the selected channel and introduced gradually with monitoring.
04
Improve
We review unresolved conversations, update the knowledge and expand the agent only when the data supports it.
Pricing
Clear decisions for every business stage
AI Opportunity Audit
We assess your processes, key bottlenecks and automation opportunities that could create the greatest value for the business.
Free
No commitment. Just a conversation about your business and real automation opportunities.
What's included
- Initial process analysis
- Key process blockers
- First automation opportunities
- Recommended next step
Most common starting point
Focused Pilot
We automate one clearly defined process and test it in real business conditions before rolling the solution out more widely.
Starting from
999 €
We define the final scope of work and project cost after the initial analysis.
What's included
- One highest-value process
- Integration with existing tools
- Testing in real conditions and reliable safeguards
- Success metrics defined upfront
- Handover of the solution to your team and all required documentation
- Post-launch results review
Custom AI System
Multi-step agents and workflows designed around your processes, systems and operating requirements.
Starting from
4 999 €
Scoped after a process workshop.
What's included
- Custom multi-step workflows or agents
- Complex system integrations
- Human review and escalation logic
- Security and operational safeguards
- Staged rollout and team onboarding
- Post-launch optimisation
FAQ
Frequently asked questions
Related guides
Related guides
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How to automate first response, repeated enquiries, human handover and support workflows.
View serviceSTART WITH ONE USE CASE
Find the conversations your team should no longer handle from scratch.
Show us the questions, requests or leads that consume the most time. We will help you define a focused first agent with a clear scope and measurable outcome.
Discuss a chat agent