THE DUTYGRAPH FIELD GUIDE
Understand the work.
Make a better next decision.
Start with the questions. Understand the landscape. Put the limits in writing.
AI governance starts with the work.
A practical guide to AI governance: responsibilities, risk, access, evidence, and the first questions to ask your team.
Read the guide →FROM POLICY TO A TASKBefore an agent acts, define its job.
A practical AI agent governance checklist covering human ownership, tasks, scopes, approvals, exceptions, and lifecycle changes.
Read the guide →THE GOVERNANCE LANDSCAPEOne landscape. Several different jobs.
Explore a source-linked map of AI governance, agent identity, access governance, and DutyGraph’s work-discovery layer.
Read the guide →A PRACTICAL WORKSHEETPut the agent’s boundaries in writing.
Download an editable agent manifest JSON worksheet for human ownership, duties, tasks, software scopes, approvals, and lifecycle review.
Read the guide →PREPARE THE EVALUATIONFind the gaps before the pilot starts.
An AI governance readiness checklist for a scoped enterprise evaluation: sponsor, workflow, evidence, access, data, and review.
Read the guide →A WORKED EXAMPLEFollow the request all the way to the limit.
A practical agent approval workflow: request, work context, scope review, approval, issuance, and evidence of downstream enforcement.
Read the guide →CHECK THE COMBINATIONOne agent should not quietly become both sides of a check.
Understand separation of duties for AI agents with a supplier-record example, combined-scope review, and evidence for human checkpoints.
Read the guide →Keep exploring
AI governance starts with the work.
A practical guide to AI governance: responsibilities, risk, access, evidence, and the first questions to ask your team.
Read the guide →FROM POLICY TO A TASKBefore an agent acts, define its job.
A practical AI agent governance checklist covering human ownership, tasks, scopes, approvals, exceptions, and lifecycle changes.
Read the guide →THE GOVERNANCE LANDSCAPEOne landscape. Several different jobs.
Explore a source-linked map of AI governance, agent identity, access governance, and DutyGraph’s work-discovery layer.
Read the guide →A PRACTICAL WORKSHEETPut the agent’s boundaries in writing.
Download an editable agent manifest JSON worksheet for human ownership, duties, tasks, software scopes, approvals, and lifecycle review.
Read the guide →PREPARE THE EVALUATIONFind the gaps before the pilot starts.
An AI governance readiness checklist for a scoped enterprise evaluation: sponsor, workflow, evidence, access, data, and review.
Read the guide →A WORKED EXAMPLEFollow the request all the way to the limit.
A practical agent approval workflow: request, work context, scope review, approval, issuance, and evidence of downstream enforcement.
Read the guide →CHECK THE COMBINATIONOne agent should not quietly become both sides of a check.
Understand separation of duties for AI agents with a supplier-record example, combined-scope review, and evidence for human checkpoints.
Read the guide →Understand how work happens
Business operations audit checklist: investigate the work, not just the tools.
A practical operations audit checklist covering scope, ownership, inputs, handoffs, exceptions and evidence. Includes an ungated working template.
Explore →Field guideIf every exception comes back to you, map the dependency before delegating.
Find where work depends on the owner’s knowledge, decisions, relationships or access. Use a practical dependency log before redesigning responsibilities.
Explore →Field guideProcess discovery interview questions that get beyond the job description.
Use practical prompts to uncover tasks, inputs, exceptions and handoffs. Includes a leadership kickoff guide and an employee request you can adapt.
Explore →Field guideCapture tribal knowledge without asking every expert to become a technical writer.
Capture the exceptions, judgment and handoffs that SOPs can miss. Use contextual voice or text responses, evidence review and clear ownership.
Explore →Field guideRoles, responsibilities and tasks: a template that reaches the actual work.
Go beyond a job title. Map duties, tasks, owners, performers, inputs and handoffs with an editable CSV and a worked example.
Explore →Field guideWhich tasks should you automate? Compare the work before the tools.
Compare tasks by inputs, exceptions, reviewability and operating value. Use an editable worksheet to choose a bounded automation or AI pilot.
Explore →Field guideThe task is finished. Why is the next team still waiting?
Investigate missing inputs, unclear ownership and different definitions of done between teams. Includes a practical handoff worksheet.
Explore →Field guideProcess discovery, process mining and task mining: choose the evidence you need.
Compare interview-led discovery, process mining and task mining by evidence, questions and limitations. Choose a method for the problem you have.
Explore →Field guideThe quote was accepted. Why is the order still not ready?
A worked quote-to-order example showing sales, finance and operations handoffs, missing inputs, ownership questions and a practical audit scope.
Explore →Field guideA business bottleneck is easier to fix when you can see the work around it.
Find business bottlenecks by tracing work, decisions and handoffs. A practical guide for owners and operations leaders who need to know what to fix first.
Explore →Field guideA RACI matrix clarifies responsibility. The next step is understanding the work.
Learn how to use a RACI matrix, where it stops, and how to connect responsibility labels to real duties, tasks, systems and handoffs.
Explore →Field guideProcess documentation is useful when it describes the work people actually run.
A practical process documentation guide for capturing triggers, steps, systems, exceptions, decisions and handoffs without turning the project into a paperwork exercise.
Explore →