AI Agents
Add capacity for judgment work without adding headcount.
AI agents are bespoke systems that handle repetitive judgment work — lead qualification, triage, drafting, research and enrichment — with monitoring and human handoff. Every build starts with a paid audit.
What AI Agents changes
- →Capacity without headcount
- →Consistent execution within the configured workflow
- →Monitored, with human-in-the-loop where it counts
Independent, industry-standard benchmarks — each cited to its primary source, not Makavele's own results. Your numbers depend on your business.
How AI Agents works
- 01
Scope the agent
We pick the workflow, the tools it can touch, and the guardrails.
- 02
Build + integrate
We deploy it into your stack with monitoring.
- 03
Operate
We run it, watch quality, and hand off to humans when needed.
Who AI Agents is for
- Teams with high-volume repetitive judgment work — sales, support, ops
Scope
Every build starts with a paid audit.
Pilot
One agent
- →One agent, one workflow
- →Guardrails + monitoring
- →Human handoff
Production
Integrated
- →Integrated into your stack
- →Quality dashboards
- →Fallback logic
Scale
Multi-agent
- →Multiple coordinated agents
- →Shared tooling
- →Dedicated ops
FAQ
How is an agent different from a chatbot?+
A chatbot talks. An agent does work — it takes actions in your tools, follows guardrails, and hands off to a human when it should. We build the second kind.
What can an agent handle?+
Repetitive judgment work: qualifying leads, triaging tickets, drafting replies, research, enrichment — anything consistent enough to define rules and guardrails for.
Start with a conversation
Find the revenue
you’re leaving behind.
We’ll look at your customer journey and find the first gap worth closing.
Schedule a free consultation