Conversational & Voice Agents
Conversational and voice agents that hold real conversations and take real actions inside your systems, at volume.
What the build includes.
- Voice agentsInbound and outbound calls handled, qualified and booked.
- Chat agentsWebsite and messaging agents grounded in your content.
- Action agentsAgents that update records, trigger workflows and escalate.
- ML integrationClassification, extraction and prediction models wired into your flows.
- System hooksCRM, calendar, helpdesk and telephony connected.
- Guardrails and logsApproved actions, rate limits and full transcripts.
- Call and chat volume outruns your team
- Decisions repeat thousands of times
- You need answers on every channel, all day
How do you keep agents in bounds?
Approved actions only, hard limits and automatic escalation for anything unusual.
Which models do you run?
OpenAI, Anthropic Claude and open models, picked per task for cost and accuracy.
Can it handle high call volume?
Yes. Voice agents handle concurrent calls and book straight into your calendar system.
Related builds

HeyLi.ai
A real-time AI voice platform that answers calls, qualifies callers and books appointments without staff.

Pushable AI
LLM agents and n8n, Make and Zapier pipelines linking a company's tools and running repetitive work.

JorgeCastro.AI
Swedish AI SEO platform. Cited in 0 of 10 test questions at the start, 6 of 10 on ChatGPT and Perplexity six months later.
Bring us the hard part.
Platforms, sites, apps, agents, pipelines or campaigns: bring us the work that is slowing you down and we will tell you how we would engineer it and what it costs to start.