Custom AI agents and assistants.

Why a chatbot is not enough: the case for AI agents

Most teams already have a chatbot somewhere. It answers a question, then stops. The work still lands on a human: open the CRM, copy the detail, send the reply, log the task. The bottleneck never moved.

A custom AI agent closes that gap. It does not wait for a prompt and reply with text. It executes the next step inside the tools you already use, then hands a clean result back to your team.

For a Swiss SMB or a growing commercial company, the difference is measured in hours reclaimed every week, not in novelty. The agent removes the repetitive plumbing so your senior people spend time on judgement, not copy and paste.

• Chatbot: answers a question, then waits for a human to act.
• AI agent: reads context, decides, and executes the action in your stack.
• Result: fewer handoffs, faster cycle time, less manual data entry.

How MAWT builds a custom AI agent

We do not drop a generic assistant on top of your business and hope it fits. We map a real workflow first, then build an AI agent around it. No intermediaries, no extra layers: you work directly with the senior humans who design and ship it.

Our build process follows a clear sequence so you always know where the agent can act and where a human stays in control.

• Map the workflow: we trace one high volume task end to end and find where time leaks.
• Define the scope of action: what the agent reads, what it can change, what it must escalate.
• Wire into your tools: inbox, CRM, ticketing, documents, internal APIs.
• Set guardrails: permissions, validation rules, human checkpoints where stakes are high.
• Choose the right model for the job: OpenAI, Anthropic or a local model when data must stay in house.
• Add full traceability: every action the agent takes is logged and auditable.
• Pilot, measure, expand: prove value on one workflow, then extend to the next.

What a custom AI agent actually does

A custom AI agent earns its place by doing the work that quietly drains your team, the tasks nobody enjoys and everybody postpones. In practice, a MAWT agent triages incoming requests the moment they arrive, reads and summarises long documents into the few lines a decision actually needs, drafts replies in your tone, and then executes inside your tools: it updates the right CRM record, opens or closes a ticket, schedules the follow up, files the document where it belongs. It runs autonomously inside your context, but never blindly. Guardrails define exactly what it is allowed to touch, human checkpoints sit at every point where a mistake would be costly, and full traceability means you can see what the agent did and why. The result is a workflow that moves at machine speed while staying under human control, AI-native by design, built around your operation rather than a template.

This is the kind of dense, repetitive, high volume work where an agent pays for itself fast: overloaded sales pipelines, customer support queues, and admin functions that repeat the same five steps all day. For commercial clients like Crown and Legumes Express, that meant starting with one heavy workflow, proving the hours saved, then extending the agent step by step rather than betting on a big bang rollout.

• Automatic triage and routing of incoming requests.
• Summarisation of long documents, threads and reports.
• Drafting replies, briefs and records in your tone.
• Executing actions inside your CRM, inbox and ticketing tools.

Who custom AI agents are for

Custom AI agents fit teams with volume and repetition: a high request count, the same steps every time, and senior people stuck doing work below their pay grade. That is most growing Swiss SMBs and growing commercial companies.

Typical fits are overloaded sales teams losing leads to slow follow up, high volume customer support drowning in tier one tickets, and repetitive admin functions where the same record gets updated across three tools. If your team copies the same data between systems all day, an agent will pay back quickly.

• Sales teams losing time on triage and follow up instead of selling.
• Support teams handling high ticket volume with repetitive answers.
• Operations and admin functions running the same multi step task daily.