UNDERCOVERLABHome/Services/AI agents and automation
Service
Automation
with AI.
Chatbots for customer support, AI agents and processes connected to your tools. We define what to automate, what data it needs and where a person needs to stay in the loop.
This page is for those who already know what they want to automate. If you are not sure yet whether AI is for you, start with AI for business.
The problem
How many hours do you lose
on work that repeats itself?
Every week someone on your team copies data from one system to another, sends the same emails, or prepares the same report. We can review those steps and measure whether automation cuts the manual work. You also need to plan for errors, exceptions and tasks that still require human judgement.
What repeats can be automated. The question is where to start.
How we do it
We don't sell you a label. We give you the whole path.
We start from your specific case, not from the technology. We look at what you do by hand, decide what is worth automating and build it step by step, with you watching the result.
We connect with the tools you already use, configure the agent for your real process and leave it running, with human judgement supervising. The best automation is the one you don't see: it works below the surface and all you notice is that you've got your time back.
Use cases
Processes we can
review with you.
Administrative tasks
Invoicing, reminders, moving data between tools, reports that generate themselves. The invisible work that eats your afternoons.
invoicing · reportingCustomer support
An agent that answers the usual questions instantly and hands over to a person when it matters. Available when you aren't.
agent · 24/7Document handling
Classify, extract and summarise documents automatically. Handy for law firms, accountants and anyone drowning in paperwork.
documents · AIA diagnosis to start
If nothing's clear yet, we start here: what makes sense to automate and what doesn't, before touching anything.
consultingEveryone's question
What tasks can a business
automate with AI?
A business can automate moving data, sending alerts, preparing reports and part of its document work. AI adds value when you need to interpret variable information, such as text or customer queries. For fixed steps, a rules-based integration may be enough.
The practical rule: if a task is done many times, always follows the same steps and doesn't need human judgement at each step, it's a candidate for automation. If it calls for judgement or a personal touch, the agent prepares it but the final decision stays in a person's hands.
Chatbots for
customer support.
A business chatbot has to answer with approved information: services, terms, availability or support documentation. It also has to know when to hand a query over to a person. We define those sources and limits before connecting it to the channel where you talk to your customers.
In the pilot we check correct answers, queries with insufficient information, and requests that need human attention. The assistant's availability doesn't replace the team's follow-up or guarantee that every query gets resolved automatically.
Chatbot, AI agent,
or rules-based automation?
| Solution | What it does | Where to put the control |
|---|---|---|
| Rules-based automation | Runs defined steps: copying data, sending alerts or updating statuses. | Data validation, error handling and permissions for each system. |
| Chatbot | Answers queries based on authorised information. | Up-to-date sources, response limits and handoff to a person. |
| AI agent | Interprets a request and uses tools to prepare or carry out steps. | Allowed actions, activity logging and approval for sensitive operations. |
If you're still choosing the first process, start with AI consulting for businesses. If you need a full management system, see custom software and integrations.
How we validate
a first process.
Measure the starting point
We pick a task, review examples and note time, errors and volume. We check access to the data and the tools involved.
Test with clear limits
The pilot works within a defined scope. We also test what happens when data is missing or an integration fails.
Decide with results
We compare quality, time and cost, including human review. That information is what determines whether to scale, adjust or stop the project.
Start here
Find out what
you can automate.
The free AI self-assessment test tells you in a few minutes where you can save time. No strings attached.
Before you ask
What everyone wants to know.
What tasks can a business automate with AI?
Moving data, sending alerts, preparing reports and some document work are common candidates. If the steps are fixed, automation without AI may be enough. If text needs interpreting or a reply needs drafting, it is worth testing a model against real examples and measuring its quality before scaling it up.
What is a bespoke AI agent?
A system that uses an AI model and authorised tools to carry out steps of a specific process. It might look up documents or prepare an action in another programme. You need to define what it can do, what permissions it needs and when it must ask for human approval.
How much does it cost to automate a process?
It depends on the process, the integrations, the data and the oversight required. The quote should separate initial development, third-party service usage and maintenance. To assess the return, we measure the time and quality of the process before and after a pilot, including the cases that still need a person.
Will automation replace my team?
We automate tasks, not people. The repetitive work lifts off your team so they can spend their time on what adds value. And every automation keeps human judgement supervising it.
Which tools do you integrate with?
We review the tools you already use and their APIs, permissions and access limits. The integration can connect a CRM, ERP, email or document manager if the system allows it. We never assume that connection is possible before checking its documentation and terms of use.
How does a customer support chatbot work?
It receives a query, looks up information in approved sources and prepares a reply. If information is missing, the query falls outside its scope, or the user needs personal handling, it has to hand off to the team. The pilot is tested with real questions, including the ones the chatbot should not answer.
Do you need to train an AI from scratch on our documents?
Not necessarily. An assistant can query an authorised knowledge base without training a model from scratch. What matters is deciding what information it can access, how it gets updated and which users have access. The solution is chosen after reviewing the documents and the process.
What eats your time?
Tell us about a task you do by hand every week. We'll tell you whether it can be automated, how and what it would cost. No strings attached.