Human and agent work allocation: Business case assumptions and research pack

Decide task-level agent authority on traceable evidence. The pack includes an authority ladder, scoring anchors, capacity and cash formulas, regulatory caps, an assumption register, a source log, a research question backlog, a synthetic worked example and a failure case.

Asset IDSTX-A0213

CategoryIntelligence and Research Methods

TierRead and Download

Prepared byStratenity Advisory Team

Executive summary

A research pack for deciding how much authority AI agents should hold, task by task. It helps you build a business case whose assumptions can be traced and tested rather than borrowed.

What is inside

What this research pack covers

An authority ladder with scoring anchors, plus caps for regulatory, irreversibility and evidence limits. Written formulas that keep released capacity separate from cash. An evidence hierarchy and an inputs table. Gate, risk and KPI tables with role owners. A synthetic shared-services example with sensitivity analysis and a failure case. Editable tools: an assumption register, a pre-filled source log, a research question backlog, a task authority worksheet and a challenge checklist.

Purpose and decision
Context and applicability
Inputs and evidence
Definitions and assumptions
Method and analytical logic
Current-state assessment
Options and business case
Recommended design
Execution and activation
Governance and risk
Measurement and benefits
Worked example and practice
Working tools and references

How to use it

How to use this research pack

Pick one process with a named owner and build its task inventory. Map decision rights and failure scenarios, then screen the tasks for regulatory exposure. Score each task, apply the caps and record its authority level. Log every business case number as an observation, hypothesis or constraint. Test which ones could change the decision, and turn those into research questions with stop rules. Run an independent assumption challenge before taking the pack to the pilot gate, and revisit it at each later gate.

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Stratenity Advisory Team. (2026). Human and agent work allocation: Business case assumptions and research pack. Stratenity Library. https://www.stratenity.com/resources/library/intelligence-research/human-and-agent-work-allocation-business-case-assumptions-and-research-pack

Stratenity Advisory Team. "Human and agent work allocation: Business case assumptions and research pack." Stratenity Library, 2026, www.stratenity.com/resources/library/intelligence-research/human-and-agent-work-allocation-business-case-assumptions-and-research-pack.

Stratenity Advisory Team. "Human and agent work allocation: Business case assumptions and research pack." Stratenity Library, 2026. https://www.stratenity.com/resources/library/intelligence-research/human-and-agent-work-allocation-business-case-assumptions-and-research-pack.

Stratenity Advisory Team (2026) Human and agent work allocation: Business case assumptions and research pack. Stratenity Library. Available at: https://www.stratenity.com/resources/library/intelligence-research/human-and-agent-work-allocation-business-case-assumptions-and-research-pack (Accessed: the date of access).

@misc{stratenity_stxa0213, author = {{Stratenity Advisory Team}}, title = {Human and agent work allocation: Business case assumptions and research pack}, year = {2026}, publisher = {Stratenity Library}, howpublished = {\url{https://www.stratenity.com/resources/library/intelligence-research/human-and-agent-work-allocation-business-case-assumptions-and-research-pack}}, note = {Asset ID STX-A0213} }

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Human and agent work allocation: Business case assumptions and research pack

What this research pack covers

This is a taste. The full library goes deeper.

Stratenity is the AI Operating System for Strategic Execution™.

Stratenity is the AI Operating System for Strategic Execution^™.