AI Agents

Agents with jobs, tools and boundaries.

We design agentic systems around explicit tasks, permissions, tool access, evaluation and human escalation rather than vague autonomy.

01

The problem

An agent demo is easy. Reliable tool use, state, error handling and business ownership are the difficult part.

Teams automating multi-step operational work where deterministic workflows alone are too rigid.

Typical outputs

Concrete artefacts, shaped around the workflow.

01Agent task definition
02Tool and permission model
03Human-in-the-loop design
04Evals and failure handling
05Deployment and monitoring plan

How BigDoor works

Discover → Quantify → Design → Deploy → Evaluate → Adopt → Compound

The exact architecture follows the use case, existing systems, risk constraints and evaluation requirements. The sequence exists to keep the technical system attached to an operating outcome.

Read the deployment methodology

Start with the workflow

What are you trying to deploy?

Bring the current process, systems, users and constraints.

Discuss it with BigDoor