AI Agent Development
AI agent development builds software that can plan a sequence of actions and carry them out across your systems — such as researching, drafting and sending a follow-up — rather than just answering a single question.
Benefits
- Multi-step tasks handled end to end, not just one reply at a time
- Agents that can call your existing tools and APIs
- Reduced manual handoffs between steps of a process
Problems It Solves
- Chatbots that can answer but can't actually take action
- Multi-step workflows still requiring a human at every stage
- Repetitive research or follow-up tasks eating staff time
Who It's For
- Sales and customer service teams
- Operations teams
- Businesses with well-defined repeatable workflows
Common Use Cases
- A sales agent that qualifies leads and books meetings
- A research agent that compiles competitor or customer information
- An operations agent that routes and escalates support tickets
How We Deliver It
- 1
Task definition
We define the exact goal, tools and boundaries for the agent.
- 2
Build and test
We build the agent and test it against real scenarios, including failure cases.
- 3
Guardrails and handover
We add guardrails for when the agent should hand off to a human, then hand over.
Technologies
- OpenAI API
- Anthropic Claude
- n8n
FAQs
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