The workforce is changing. The organization hasn't caught up.
Roles, staffing, and accountability need to reflect agentic formations and new cost structures.
Set Boundaries for AI Agents
Decide what AI agents can do, when they must ask, and where people stay in control.
Bot0 helps organizations design how people, AI agents, and machines work together, evaluate the operational and financial impact before committing, and turn those designs into governed execution.
DesignSimulateRealize
AI Agents can do the work. But is the work getting better? And who owns the outcome?
Organizations are adding AI agents to operating models built primarily for people. But adding agents doesn't necessarily improve the work.
Real improvement requires rethinking who does what, how work moves between people, agents, and machines, and who makes decisions. It also requires understanding the impact of those choices on performance, economics, and control.
Agents optimize local metrics. The whole flow can suffer.
Run your agentic operating model from the value stream, so optimization stays end to end.
Agents are executing. Who owns and controls the consequences?
Execution spans handoffs, exceptions, decisions, and systems of record.
Design · Simulate · Realize
From intent to implementation
01DESIGN
Make the work explicit.
Greenfield or brownfield: start from the work you will need, or bring the work you run as a description, a document, a BPMN model or an event log. Keep what is stated, what is measured and what still needs a decision apart.
02SIMULATE
Know what it’s worth before you commit.
Compare alternatives on cost, capacity, throughput and cycle time, and on the measures your industry runs on — quality, errors and rework, service levels. See the assumptions behind the numbers and the constraints that still matter.
03REALIZE
Put the design into practice.
Prepare the work order, agent briefs, grounding and authority for a selected destination. Review what that destination can enforce.
One platform. Six capabilities.
01 / GOVERNANCE & POWER OF ACTION
Control what agents can do.
Define what agents may access, which actions they can take, and where human approval is required.
02 / WORK SYSTEM DESIGNDesign how people and agents work together.
Bring tasks, responsibilities, decisions, and coordination into one work-system design.
03 / SIMULATIONS & VALUESee what a better design could deliver.
Compare alternatives on cost, human labor, service capacity, throughput, cycle time, and quality—using explicit assumptions.
04 / ORG DESIGN · PEOPLE & AGENTSSee how AI changes your workforce.
Explore human and agent roles, staffing arrangements, and how work and capacity shift as designs change.
05 / GROUNDING STUDIOGive agents the right knowledge.
Specify the sources agents rely on, what each agent can use, and which source takes precedence when information conflicts.
06 / REALIZATION STUDIOTurn your design into an implementation.
Define agent specifications, skills, routines, knowledge sources, and permitted actions to prepare for your chosen destination.
The decisions around the table
One work system.
Different responsibilities.
What will this do to the work?
Find the constraint, compare a better arrangement, and see what the change requires from the people who run it.
Does the business case hold?
Make the economics, operating assumptions and delegated authority part of the investment decision.
Who carries the work after the change?
See the configured people and agent roles, where they participate, and what completed runs establish about the proposed change.
What must the implementation preserve?
Take the selected work-system version into realization with agent briefs, source references, authority and target requirements.
Generate new ways of working. Evaluate their operational and financial impact. Prepare the changes needed to make them real.
Explore possibilities.
Generate and explore Work Systems, evaluate their implications, and preview the changes needed to make them real.
Design with confidence.
Develop alternatives, simulate their operational and financial impact, and prepare actionable implementation plans.
Work systems at scale.
Use advanced evidence, simulations, governance, and organizational controls across teams and Work Systems.
Before you get started.
What is a work system?
Everything needed to produce an outcome repeatedly: the work, who or what performs it, how participants coordinate, the systems they use, and who has authority over the result.
Do I need to build the agents first?
You can model and simulate a proposed work system before its agents are built. The simulation evaluates the design and its assumptions; it is not evidence of live agent performance.
Where should I start?
Choose one work system where AI might materially change cost, capacity, speed or service. Describe the work, bring an existing document, BPMN model or event log, or build the model directly.
Design · Simulate · Realize
Start with one work system.
Understand it. Explore a better design. Realize the one you choose.