An agent does more than answer in a chat window. It logs into your CRM, inbox, spreadsheets and messengers and completes tasks by your rules.
Quote and schedule after your brief
The agent qualifies the lead right away: asks follow-up questions, writes the data into the CRM, assigns an owner and creates a task. Hard cases go to a person with a short summary.
We connect the agent to those tools through their APIs (the programmatic interface each service offers). It moves data, updates statuses and builds reports on a schedule.
We limit its permissions: what it can read, what it can change and what it can only suggest. Risky actions such as payments, deletions or emails to clients wait for human approval. Every step is logged.
We start with a pilot on one task. Together we pick a metric, for example first-response time or leads processed per week, and measure it before and after.
Use a package to describe what you need. We agree on the quote and schedule after reviewing your brief and requirements.
Teams that want to test the idea on one task with a measurable result
Companies where the agent should reliably run a whole process, such as lead handling
Businesses with several departments where agents work together: sales, support, reporting
You describe the task and current workflow. We clarify requirements, choose a first stage and prepare a quote.
We agree on one task and one success metric. Payment is in stages: start, prototype, launch.
We connect the systems, write the rules and test the agent on real cases from your history.
The agent runs while a person reviews its steps. We widen its permissions once results are stable.
All accounts, files and access are yours under the agreed terms. After launch you can take a support plan or run the agent yourself.
A chatbot answers questions. An agent also acts: it creates a CRM record, updates a status, sends an email or builds a report. If you only need a bot that answers questions, that is a smaller and cheaper project: an AI chatbot
The price covers development, setup and testing. You pay separately for model usage (Claude, GPT) and for tools like n8n or Make. We open those accounts in your name, so you see every cost.
A description of the process, access to your systems, examples of real leads or emails, and one person who can decide edge cases. Without access and examples, the agent will be weaker.
We grant the minimum permissions needed, use separate keys and log every action. For clients in the EU we account for GDPR by choosing providers and settings that allow compliant use.
Mistakes happen, so we catch them before launch with a test set and afterwards through the log. When the agent is unsure it hands the case to a person, and risky actions wait for approval.
We prepare a quote after reviewing your brief. We list support and any third-party costs separately: subscriptions, APIs, hosting or media spend where the project needs them. Provider rates are checked before work starts.
Describe your business, the outcome you need and your current workflow. We will clarify the requirements and prepare a quote after your brief.