AI Agent Development
An AI agent is not a chatbot and not a script. It understands a goal, plans the steps, uses your tools (CRM, inbox, spreadsheets, databases, APIs), checks its own results and hands off to a person when judgment is needed. We build agents around the way your business already works and we run them with you after launch.
You give the agent a job, not a flowchart. It reads the context (an email, a ticket, a lead record), decides what to do next, calls the right tool, and reports back. When something is unusual or risky, it stops and asks. Every action is logged, so you always know what happened and why.
Unlike rule-based automation, an agent copes with messy input: half-filled forms, replies in three languages, a customer who changes their mind mid-thread. That is why agents can take over whole tasks instead of single steps.
- Discover. A free strategy call, then a short process-mapping session. We pick the task with the clearest payback.
- Design the blueprint. Goals, tools, data access, guardrails, approval points and the numbers we will measure.
- Build and test. Two to six weeks. The agent runs on your real data in a sandbox; you review every decision before it touches customers.
- Launch and run. Monitoring, logs, monthly tuning and new capabilities. A fixed monthly fee, no surprises.
- Inbox agent that triages, drafts replies and files every message for a busy founder
- Support agent that resolves order and shipping questions for a WooCommerce or Shopify store
- Lead agent that researches inbound signups and prepares a call brief before the first meeting
- Proposal agent that turns a discovery call transcript into a priced proposal from your templates
- Reporting agent that assembles the Monday numbers from ads, CRM and finance tools
- Compliance agent that checks documents against a checklist and routes exceptions
Claude · OpenAI · Gemini · n8n · Make.com · LangGraph · HubSpot · Pipedrive · Zoho · Slack · Google Workspace · Microsoft 365 · WhatsApp Business · WooCommerce · Shopify · Supabase · PostgreSQL. We choose the tool that fits your stack and budget; you own every account.
- Repetitive work leaves your team’s week and moves to the agent
- Faster replies to customers and leads, around the clock
- Consistent execution of processes that used to depend on one person
- Full logs and approval gates, so AI acts inside limits you set
How is an AI agent different from automation built in Make.com or n8n?
Automation follows fixed rules: if this, then that. An agent reads the situation, decides between steps and handles exceptions. We often build agents on top of n8n or Make.com, using them for the plumbing and the agent for the thinking.
Which model do you use?
Whichever fits the job and your data rules: Claude, OpenAI or Gemini models, or an open model hosted in your region. We can switch models without rebuilding the agent.
Is it safe to let an agent act on our systems?
Agents get only the access they need, every action is logged, and risky steps (payments, deletions, outbound messages to new contacts) wait for a human approval. We work inside your accounts and sign an NDA and data processing agreement.
How long does it take?
A first agent is usually live in two to six weeks, depending on how many tools it has to use. A Strategy Sprint takes two weeks and gives you a costed roadmap.
What happens after launch?
We monitor the agent, review its logs, tune prompts and add capabilities every month. You can also take it in-house; you own every prompt, workflow and line of code.
Tell us the workflow, the tools you use and what slows your team down. We reply within one business day with a plan.
Related services: Agentic Workflows & Business Process Automation · AI Chatbots & Voice Agents · CRM & AI Integrations · All services
