Current-state map
The real sequence of actions, systems, delays, duplicate entry, decisions and exceptions, documented with the people who do the work.
AI business automation for lead follow-up, admin, reporting and customer enquiries, built with clear triggers, approvals and hand-offs to your team.
Cut manual handling where the rules are clear, and keep customer-sensitive and high-consequence decisions with people.

Good candidates happen often, follow a stable path and have exceptions your team can already describe: sending quotes, chasing unpaid invoices, routing new enquiries, booking appointments, compiling weekly reports. We map the work before connecting any systems, so delays, duplicate entry and unclear ownership are fixed rather than reproduced faster. AI is used where a step needs judgement on unstructured information, such as reading an email or summarising a call. Everywhere else, simple rules are cheaper and more reliable.
The first phase covers one agreed workflow from trigger to hand-off. Additional departments, historical data cleanup and unrelated system changes stay outside scope unless added explicitly.
The real sequence of actions, systems, delays, duplicate entry, decisions and exceptions, documented with the people who do the work.
Triggers, rules, AI-assisted steps, data movements between systems and the person responsible at each stage.
Approvals, failure alerts, human hand-offs and the records needed to operate and audit the workflow.
A controlled launch measured on completion, errors, rework and feedback from the team using it.
If a process changes every week, nobody can explain how it should work, or it runs a few times a month, automation will cost more than it saves. Fix or document the process first.
We separate process mapping, build and ongoing optimisation. The first pilot is deliberately narrow so your team can see how failures are caught and who owns them before more volume or complexity is added.
Our recommendations are grounded in recognised industry guidance, including OECD AI Principles.
Pick one process with obvious friction, enough volume to matter and clear owners.
Document how it runs today, remove unnecessary steps and agree where AI, rules and people each fit.
Connect the systems, run real examples through it and confirm exceptions reach the right person.
Go live on a controlled volume, then review completion, errors and time saved before expanding.
These are typical first projects because they are frequent, rule-based and easy to measure. Your own list comes out of the mapping step.
Capture enquiries from forms, email and ads, log them in the CRM, reply quickly and route them to the right person.
Send quote reminders, chase overdue invoices and update records when payments land.
Confirm appointments, send reminders and collect intake details before the meeting.
Pull figures from ads, analytics and CRM into one weekly summary instead of copying them by hand.
Trigger welcome emails, document requests and internal tasks when a new client or employee starts.
Ask for a review at the right point after a completed job, and flag unhappy responses to a person.
Cost depends on the number of systems involved, whether they have usable integrations, how many exceptions the workflow has, and whether AI steps need testing against real examples. Software subscriptions for the automation platform are a separate running cost. The automation cost guide explains how to compare quotes.
Ordinary automation follows fixed rules: when a form is submitted, create a contact and send an email. AI automation adds a step that interprets unstructured information, such as classifying an enquiry, drafting a reply or summarising a document. We use AI only where that interpretation is needed.
Most common CRMs, email platforms, form tools, booking systems and accounting software with an API or a supported integration. We confirm what is possible with your specific systems during mapping, before anything is built.
Every workflow we build includes failure alerts and a named person who receives them. Exceptions are routed to people rather than silently dropped.
The aim is to remove repetitive handling so people spend more time on work that needs judgement, such as sales conversations, client service and quality control.
The Growth Systems Audit shows where manual work and slow follow-up are costing you enquiries, so the first automation targets the biggest leak.