Follow up enquiries, process documents and answer questions. We connect AI to your existing processes, with clear boundaries and human oversight where needed.
Start with one process · Oversight at critical steps · Scope and price up front
From enquiry to follow-up
Interactive example · sample data
01 / Process
01Enquiry receivedWebsite form
A new enquiry arrives with the question, company name and contact details.
02Structure informationAI processing
The assistant extracts the requested service and relevant details. Missing information stays visible.
03Review proposalHuman review
A colleague reviews the draft and decides what gets sent. Nothing is sent without approval.
04Prepare follow-upCRM + tasks
After approval, records are updated and the owner receives a follow-up task.
02 / Review point
Draft reply
Not sent
Thank you for your enquiry. You want to accept bookings online and connect scheduling to your current system. We would love to discuss which steps your team handles manually today.
Source used
Website enquiry
Your team stays in control.
AI prepares. A colleague reviews. Only then does the process continue.
What is getting in your way?
We start with the work that needs to improve. These are problems we can address and what we build to do it.
Where you get stuck
What we build or improve
What changes for you
Where you get stuck
Enquiries sit unanswered or receive a late reply.
What we build or improve
We collect enquiries, use AI to structure their content and prepare a draft reply and follow-up task in your CRM.
What changes for you
Each enquiry has an owner and a next step. Your team reviews the draft before anything is sent.
Where you get stuck
Your team copies data from emails and documents.
What we build or improve
We extract relevant fields into your administration. Missing or uncertain data goes to a colleague.
What changes for you
Less retyping and a visible exception queue, instead of processing every document entirely by hand.
Where you get stuck
Repeated questions keep interrupting your team.
What we build or improve
We build an assistant using agreed knowledge sources, with access permissions and handover to a colleague.
What changes for you
Customers and staff can find information themselves. Your team can focus on questions that require judgement.
AI as part of your process.
We first assess which steps need fixed rules and where AI adds value. Then we connect to your CRM, website, scheduling or accounting. You do not need a separate new tool for every step.
We map the trigger, data, steps and exceptions. Then we agree what can run automatically and how outputs are checked. Your proposal covers scope, timeline, development costs and any usage costs.
Human oversight where it matters.
We define which actions need approval, such as quotes, changes to customer records or other consequential decisions. System access is limited to what the process needs.
Test more than the ideal scenario.
Together we review representative examples, missing information and incorrect answers. We agree what happens when there is uncertainty, an outage or a failed integration. Errors should not silently propagate.
Clear data handling and usage costs.
We clarify which data is processed, which providers are involved and what retention is needed. Model usage, subscriptions and maintenance are included in the assessment. Prefer anonymised examples.
Frequently asked questions
What does AI automation cost?+
It depends on the process, integrations and required oversight. After intake you receive a fixed project price. Variable usage, external tools and maintenance costs are set out separately.
Do we need to replace existing tools?+
Not automatically. We first assess available integrations and permissions. Replacement is a separate decision, for example where several subscriptions cover the same features.
Can AI make mistakes?+
Yes. That is why we test outputs, limit permitted actions and set up review and error handling. The specific controls depend on the consequences of an error.
How do we know it helps?+
We agree what to measure up front, such as processing time, manual corrections or follow-up speed. Then we compare performance with the starting situation.
Which repetitive task would you like to reclaim?
Tell us which task takes time, which systems you use and where things get stuck. Together we define a focused starting point.