Custom AI agents
Custom AI agents for your customers and your team.
Agents built for your company: answering customers on WhatsApp, Instagram and your website, or doing work inside your team's tools. Each one does one job, from your own information, with a person in charge where it matters.
Don't need a custom agent? Get Claude or ChatGPT Enterprise set up properly
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Timing and pricing are agreed on a 30-minute call.
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Companies with one job an agent could own: customers waiting for answers on chat, or a team stopping its work to answer the same questions.
The problems it solves
- Customers wait hours for answers your team has given a hundred times.
- Leads go cold because nobody asked the next question in time.
- Staff ask the same internal questions, and someone stops work to answer them.
What you get
Jobs an agent can do
Answers from your own information
Replies drawn from the policies, prices and documents you approve, and nothing else.
Lead qualification
Asks the questions your sales team would ask, then hands the lead over with a short summary.
Support triage
Sorts each request by topic and urgency, and routes it to the right person with the context attached.
Appointment proposals
PilotSuggests times from your calendar, and a person confirms before anything is fixed.
Hand-off to your team
When the agent is unsure or the request is sensitive, a person takes over with the whole thread in view.
An agent for your team
Answers staff questions from your own documents, drafts routine write-ups and prepares updates in the tools you approve, with a person signing off the changes that matter.
Before we start
What you need to start
- One job for the first agent, and the person who owns it.
- The information it may answer from: policies, prices and common questions.
- Access to the channels or tools it will work in.
How it works
How an agent is built and released
- 01
Define the job
We pick one job, write down what the agent may and may not say or do, and decide when it must hand over.
- You provide
- The owner of the job, and examples of real conversations or tasks.
- You get
- A written brief with the agent's limits.
- 02
Build
We build the agent with guardrails on what it may say, a second check on every draft reply, and rules for when to escalate.
- You provide
- Your approved information, and answers to our questions.
- You get
- A working agent on a test channel.
- 03
Test
The agent is rehearsed in a sealed sandbox, where it cannot message anyone or change anything, against cases taken from your own conversations and records.
- You provide
- Your team's review of the test answers.
- You get
- A tested version, signed off by you.
- 04
Release
Only the exact version that passed testing goes live, and your team can step into any conversation.
- You provide
- Approval to go live.
- You get
- The agent live on your channels or in your tools, measured from the first day.
Who runs it
AI is powerful. You stay in command.
Rabih Bader
Founder
Serge Semaan
Team member
Where you decide
- You set what the agent may say and do, and when it must hand over.
- Replies your rules mark as sensitive wait for a person's approval.
- A new version goes live only after you sign off its test results.
Questions
Questions about AI agents
How is an agent different from a chatbot?
A chatbot follows a script. An agent answers from your own information, checks each reply before it is sent, and hands over to a person when it should.
Do we need a custom agent, or is Claude or ChatGPT Enterprise enough?
If your staff need a capable assistant for everyday work, Claude or ChatGPT Enterprise is often enough, and we set it up for you. A custom agent earns its place when one job needs its own rules, your own information, a channel such as WhatsApp, or a hand-off to your team.
What happens if the agent gets something wrong?
Sensitive replies wait for approval, your team can take over at any moment, and each mistake becomes a test case that the next version must pass before release.
Which languages can the agent answer in?
Tell us the languages your customers write in. We test the agent in each one before release, and say plainly if one is not supported yet.
Who owns the agent's configuration?
Ownership of the prompts, the configuration and any custom code, and how they are handed over if you leave, is agreed in writing before work starts.
How do you measure success?
We agree the measures before launch, such as how many conversations the agent resolves, how often it hands over and how quickly customers get an answer, and track them against a baseline.
How long until the first agent is live?
That depends on the channels and the systems the agent has to reach. Once the job is defined, we give you a date.
What does an agent cost?
We quote once we know the job, the channels and how many conversations to expect, and the quote is in writing before any build starts.