Crucible AI

How it works

A business goal. A plan. Work carried through.

Crucible is designed to work like an employee with context and responsibility. This is the operating process we’re building around.

01 · Business context

Start with your business

Describe your offer, customers, goals and working rules. Bring the records the employee needs, and decide what it can access.

  • — Business profile and priorities
  • — Knowledge you can inspect and correct
  • — Clear access boundaries

02 · First responsibility

Choose one job to prove

Pick a useful workflow with a clear result. Daily priorities, customer follow-ups or document preparation can be starting points to explore.

  • — A named business job
  • — Observable completion conditions
  • — Supported tools confirmed during scoping

03 · Plan

See how the work will happen

Turn the job into steps, with review points and a result to save. Confirm where the employee can act and where it must ask.

  • — A plan before execution
  • — Permissions matched to the task
  • — Approval points for important actions

04 · Execution

Carry out the approved work

The employee uses the connected tools within the agreed workflow. Exceptions return to the owner for a decision.

  • — Scoped tool access
  • — Visible work and exceptions
  • — External commitments require approval

05 · Evidence

Review the result

Check the deliverable against the definition of done. Save the evidence and update the business records so the next job starts with current context.

  • — A saved output
  • — A record of what happened
  • — Correction and recovery when needed

06 · Business in a box

Expand through tested playbooks

A job that works can become a repeatable playbook. Add responsibilities across sales, marketing, delivery and administration as each workflow earns its place.

  • — One employee across business roles
  • — Repeatable, reviewed workflows
  • — Owner control as responsibility grows

Deployment follows the work

The employee is the product.

Our product direction is cloud delivery. Private or local requirements can be discussed separately, with support and data handling confirmed for the agreed setup.

We confirm the scope, supported integrations, availability and pricing before an engagement. A workflow illustration does not establish a released feature.

What would you put your AI employee to work on?

Bring us the work you want to hand over. We’ll explore the first job and what a useful result should look like.