We help your business use AI to respond to leads faster, reduce document chasing and answer customers with less manual work — in the tools your team already uses.
More enquiries followed up. Less admin. More time for customers.
A commercial perspective. Before a line of automation.
€200M+Revenue across the founder’s growth marketing work
7 yearsGrowth & performance marketing experience
EU + USMarkets behind that experience
Founder background. Not AI project results.
What we automate
Three everyday jobs. Less manual work.
See how AI can move an enquiry forward, reduce document chasing and prepare a customer reply. Each example shows the task, the tools and the result your team reviews.
Enquiry & estimate follow-up
Turn a new enquiry into a ready-to-send reply.
When a new enquiry arrives, the workflow reads it, checks your CRM, drafts a response and queues a follow-up. Your team reviews the message before it is sent.
Your tools
Website forms, email and CRM
Your team
Your team approves customer messages
You track
Response time and follow-up completion
Illustrative demo with fictional data. No live systems connected.
Workflow previewReady to explore
@NEW ENQUIRY“Could you quote for a new AC system?”
Jordan · Residential property · Installation enquiry
01
Understand the enquiryIdentify the job type and missing details.
02
Find the customer contextCheck the CRM and approved service information.
03
Prepare a useful next stepDraft a response and queue the follow-up.
PREPARED FOR HUMAN REVIEW
Thanks, Jordan. To help our team prepare your quote, could you share the property location and the number of rooms?
Nothing is sent without approval.
Select “See the automation in action” to follow the process.
The business results we focus on
Faster responses. Less repetitive work.
More enquiries followed up. Less time chasing documents. Faster answers for customers. We focus AI on the bottlenecks that affect your revenue, capacity and customer experience.
Sales / 01
Keep more enquiries moving towards a sale.
AI captures the enquiry, checks the customer record and prepares the next response. Follow-ups stay visible, so opportunities are less dependent on someone remembering to chase.
The goal: fewer enquiries left waiting and more timely sales conversations.
What changes in your business
A quicker first response
Your team starts with the enquiry details and a prepared reply.
More consistent follow-up
Open opportunities have a clear next action instead of disappearing into an inbox.
Progress you can measure
Track response time, follow-up completion and enquiries that become sales conversations.
Administration / 02
Spend less time chasing the same paperwork.
AI checks incoming files against what is needed, identifies missing items and prepares targeted reminders. Your team can focus on the work those documents enable.
The goal: more complete files with fewer manual checks and reminders.
What changes in your business
A clear view of what is missing
See which documents have arrived and which still need attention.
Less repetitive chasing
Prepare specific reminders from the checklist instead of writing each one from scratch.
Progress you can measure
Track time spent collecting documents, completeness and overdue items.
Customer support / 03
Answer customers without searching three systems.
AI brings the customer request, order details and approved policies together, then prepares a relevant answer. Your team reviews the response and handles the exceptions.
The goal: shorter handling times and more time for customers who need personal attention.
What changes in your business
The context behind each request
Order information and relevant policies are available alongside the customer question.
A response ready for review
Your team checks a prepared answer instead of assembling it from scratch.
Progress you can measure
Track response time, handling time, answer quality and repeat contacts.
Start with the result that matters to your business. We discuss the right approach for your team in the call.
The question is where AI earns its place in your business.
Rashad brings seven years of growth and performance marketing experience across Europe and the US, with over €200 million in revenue across that work.
That commercial perspective shapes the approach: understand the bottleneck, choose a useful intervention and define what an improvement would look like.
R.
RashadFounder · AI Acquisition
Growth marketing experience, distinct from AI implementation results.
Built for real operations
More capability. Still your business.
01
Your tools.
Work with existing systems where practical. Confirm API access, permissions and limitations before connecting them.
02
Your rules.
Define approvals, exception handling and a manual fallback. Important decisions remain accountable to people.
03
Your visibility.
Know what ran, what changed and what needs attention. Agree on documentation, ownership and maintenance.
Discuss your automation
Which task should AI handle for you?
Tell us where enquiries stall, admin piles up or customers wait. In the call, we’ll identify the improvement that matters most and discuss the right way to achieve it with AI.
For established businesses looking to improve lead follow-up, reduce repetitive admin or respond to customers faster.
A focused conversation about your goals, current process and the right next step.
AI AcquisitionOPPORTUNITY / 01
WHAT WE DISCUSS IN THE CALL
Your goals. Your next step.
01
The result you want
Faster follow-up, less admin or better customer response.
02
What is slowing you down
The tasks and handoffs behind the bottleneck.
03
How we measure improvement
Your starting point and the metric that matters.
04
The right next step
An approach that fits your business and priorities.
CLARITY BEFORE COMMITMENT
Our starting point: your business, the result you want and how to measure progress.
Before we begin
Good questions. Straight answers.
What does AI Acquisition help my business achieve?
We help established businesses use AI to follow up on more enquiries, spend less time chasing documents and answer routine customer questions faster. We start with a specific bottleneck and a measurable business goal. The call is where we discuss the right approach for your business.
What is an AI agent, in practical terms?
A system that uses approved information and tools to work through a defined task. For example, it can interpret an enquiry, find the relevant customer record and prepare a response. Its access, actions and approval rules must be set deliberately.
Where should we start?
With a recurring task that has enough volume to matter, a reasonably clear process and a measurable outcome. Lead follow-up, document collection and support preparation are useful examples. A vague goal to “use more AI” is not enough to scope a project.
How do we know whether it is working?
We define the baseline and success measures around the task: lead response time, follow-up completion, time spent collecting documents or customer handling time. We also account for review effort and errors, so progress reflects the work your team actually saves.
How much will it cost?
The investment depends on the process, the systems involved and the agreed scope. We discuss these in the call and explain the fee before you commit. Model usage and third-party software may carry separate ongoing costs.
How quickly can a workflow go live?
That depends on system access, data quality, approvals and the exceptions the workflow needs to handle. We agree on milestones after reviewing those dependencies. The first release should be focused enough to test properly before expanding.
Will we have to replace our current software?
Often the opportunity is to connect what you already use. We assess available APIs, permissions, costs and constraints first. If a system cannot support the required workflow reliably, we explain the alternatives during scoping.
What happens if the AI gets something wrong?
Define where people review the output, how uncertainty is flagged and when the workflow stops or escalates. Testing includes exceptions, not just the happy path. AI output still needs appropriate oversight; we do not promise error-free operation.
What about our data and ongoing maintenance?
Agree on the providers, access, data handling and retention before connecting business systems. The engagement should also define who owns the workflow, who monitors it, how changes are handled and which support is included.
