Repeated questions
The same customer and staff questions, answered by hand every day.
Make everyday business work easier with AI.
Assistants, document workflows and connected automation inside your website, apps and business systems. Start with one useful task, then prove the value.
S
Live exampleWebsite assistant
Answers from approved content only
Illustrative conversation
Where it fits
For teams losing hours to…
Searching documents
Manuals, policies and records spread across folders.
Retyping information
Copying invoices and forms into other systems.
Chasing handoffs
Routine work coordinated between tools by email.
Five things we build, connected to your operations.
Pick one to see how it works in practice.
What it does
Customer assistants & chatbots
Answer from approved business information, collect enquiry details and hand conversations to staff when a request needs personal attention.
Illustrative example
Can you help us connect existing chargers?
We’ll review the charger make, firmware and supported interfaces first. I can prepare these details for the team.
Approved service information → staff handoff
How to measure it
Response time, enquiry completeness and successful handoffs.
Start a projectWhat your team gets back.
Results depend on your systems and data, so we agree a baseline first and measure against it.
Customer enquiries
Faster, complete first responses
Explain services from approved content, collect missing details and prepare the enquiry for your sales team.
Measure: response time and enquiry completeness
Document administration
Less retyping, fewer errors
Read a supplier invoice, extract the key fields and prepare a purchase entry for a person to validate.
Measure: documents per hour and corrections needed
Operational assistance
Answers without waiting on a senior colleague
Find the right instruction or summarise records from authorised systems so staff can act faster.
Measure: time to answer and repeat escalations
An Example Workflow
From enquiry to a prepared follow-up.
A possible implementation for a service business, connected to its approved content and CRM. This is an example, not a completed client case study.
- 01
Understand the request
A customer describes a requirement. The assistant answers using approved service information.
- 02
Collect the missing details
It asks for the information needed to prepare a useful enquiry.
- 03
Prepare the next step
An authorised integration prepares a CRM record and a draft follow-up.
- 04
Let your team review
Staff check the details and approve any commitments before the workflow continues.
Needs: approved content, authorised CRM access and a review owner. Measure: enquiry completeness, response time and staff handling time against the current process.
AI With Your Existing Systems
Extend what your business already runs.
ERP & CRM
Extract document fields, summarise records and prepare follow-ups within existing permissions.
Websites & portals
Guide enquiries and answer account questions using approved content or authorised live data.
Mobile apps
Explore conversational search, voice input and assistance with common tasks.
Retail & hospitality
Support product and menu questions or prepare supplier-document entries for review.
EV charging
Assist drivers with guidance and help operators summarise reported incidents.
Weighbridge & logistics
Extract delivery-document information and help authorised staff find ticket records.
Delivery & Control
Prove a useful task before expanding.
- Map the task and compare AI with simpler automation.
- Review data access, integrations and expected usage costs.
- Build a focused pilot with agreed evaluation examples.
- Test accuracy, permissions, failure cases and human handoff.
- Launch the agreed scope, monitor results and improve.
What stays under your control
Define who may access information, what the assistant may do and which actions require approval. Activity records and usage limits are scoped with the solution.
AI can make mistakes. Important commitments need review; payments, billing, recorded weights and equipment safety depend on validated application and hardware controls.
We build AI functionality for your business. Any use of AI in our own development process is a separate part of how we work.
Getting Started
A useful first conversation.
Share what you already have. We use discovery to identify constraints, define the first delivery and agree how to assess it.
Talk through your requirements- One repetitive task and examples of how it is handled today
- Approved documents or authorised business data
- The systems involved and who may access them
- A review owner and a measurable definition of success
Questions, Answered
Before you decide.
Can AI give incorrect answers?
Yes. Retrieving approved information and providing sources can help, but do not guarantee correctness. We define evaluation cases, review steps and escalation behaviour for the agreed task.
Can it access live stock, orders or accounts?
Only through an authorised connection to the relevant system. An AI model does not automatically know your live business information. Access must respect user permissions.
Do we need to train our own model?
Often no. Existing models combined with approved information and application tools may be sufficient. We assess the approach against your requirements before proposing custom training.
What is MCP?
The Model Context Protocol is a standard for connecting compatible AI applications to external tools and data. MCP server development can expose selected business functions; authentication, permissions and validation still need to be implemented.
Does every automation need an AI agent?
No. Fixed rules and conventional integrations are often a better fit for predictable tasks. Agents are considered when a task needs flexible interpretation or selection of steps.
How is business information handled?
We agree what data may be used, who can access it, and the hosting, retention and model-provider requirements before implementation. Data treatment depends on the selected services and configuration.
What are the ongoing costs?
Costs can include model usage, document retrieval, hosting, monitoring and support in addition to implementation. We estimate these for the expected workload and agree usage controls during scoping.
Tell us what you want to improve.
Tell us what you want to build or improve. We’ll help identify a practical next step.
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