HOW UBOSS WORKS
One objective.
A team in motion.
See how an outcome becomes a governed workflow, how the work is shared, and where people keep authority.
- 4 stepsObjective, plan, work, decision
- HumanApproval is a step, not a setting
- Hash-chainedEvery action lands in an append-only trail
From objective to execution
Ten steps. One system.
Nothing here is a hand-off between tools. The objective a manager writes is the same record the work is assigned from, the approvals hang off, and the outcome is measured against.
- 01
Define the objective
ManagerA manager states the business outcome, the volume it applies to and when it has to be true by. Not a task list — the result.
- 02
UBOSS analyses the work
UBOSSThe objective and its source grid are decomposed into the steps that actually produce it, with the inputs, outputs and hand-offs each one needs.
- 03
A human and AI workflow appears
UBOSSEvery step is classified. Work that needs judgement stays with a person; work that is repeatable and governed becomes AI work.
- 04
The manager reviews it
ManagerOwners, dependencies, approvals and each step’s Definition of Done are the manager’s to change. The analysis proposes; it does not decide.
- 05
Approve and assign
HeadOne transaction hands the work out. It refuses while anything would put work in front of nobody, and says exactly what is missing.
- 06
Human work reaches To-do
EmployeeEach person sees their own assigned work with its criteria and the evidence it expects. The assignee stays the assignee; a manager watching does not become the owner.
- 07
AI work becomes a Job Agent
ManagerThe AI step is matched to an approved, published Skill and built into an Agent for the person whose work it is — by somebody authorised to build, not by them.
- 08
Executor watches it run
ExecutorOverdue work, failed runs, missing evidence, unavailable connections and approvals waiting too long are surfaced as exceptions with an owner.
- 09
Approvals gate what matters
HeadConsequential actions wait for a person. No self-approval, four-eyes where configured, and every decision on the record with its reason.
- 10
Outcomes become visible
UBOSSProgress, human and AI split, exceptions, approval aging and governed AI usage — reported against the objective that asked for them.
Define the objective
A manager states the business outcome, the volume it applies to and when it has to be true by. Not a task list — the result.
One workforce, two kinds of worker
Humans remain accountable.
AI handles approved repeatable work.
People decide, judge and own
- Assigned responsibilities
- To-do with criteria
- Evidence on completion
- Collaboration in context
- Approvals
- Accountability that does not move
Agents execute inside their limits
- Governed Skills
- Job Agents
- Approved tools only
- Controlled connections
- Tested before activation
- Monitored runs
Executor
Execution needs supervision.
Even when the worker is AI.
Executor watches human and AI work together and turns what went wrong into something with an owner. It routes and escalates; it never decides in a person’s place.
- Work that has gone past when it was due
- Agent runs that failed, and why
- Completions submitted without their evidence
- Connections that stopped answering
- Approvals that have been waiting too long
Product illustration of Executor. Figures are illustrative, not customer data.
Your workflow.
Inside Chief Agent.
Bring a recurring report, a review process or an operational task. We’ll walk through its people, agents, skills and approvals.
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