What does a production AI agent include?

The agent with its tools and guardrails, evals that measure its quality on every change, and observability of cost, latency and behavior from day one.

How do you measure an agent's quality?

With evals: representative test cases, including adversarial ones, that run on every prompt, model or tool change to block regressions.

Where does BlueliftAI work?

With companies in the United States and Latin America, remotely.

AI Agents

Agents that run in production, not demos.

We build AI agents that work real processes: reviewing code, moving data, running business flows. With evals written before deploy and costs measured after.

Tell us which process you want to automate Free AI diagnostic

AI agents
Real automation
Custom integrations

Agent architecture that works on its own

01
Your channels
WhatsApp, web and email
02
AI agents
reason and execute
03
Your stack
APIs, data and ERP

What we build

Agents with evals

Every agent passes written acceptance thresholds before touching real work.

Human-in-the-loop

The agent escalates whatever needs judgment. You decide where that line sits.

Guardrails and observability

Every action logged, every cost measured.

Integrated with your stack

Jira, GitHub, Slack, your APIs. The agent works where you work.

Proof, not promises

Our own backlog is worked by an agent: 163 autonomous cycles, 32 PRs reviewed, 13 tickets closed in 3 weeks. No human in the loop, humans at the decision points.

See the full case study

163

autonomous cycles in 3 weeks

PRs reviewed, 4 review follow-ups

backlog tickets closed