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Framework
Agentic Operating Model
TSS Agentic Operating Model — practical building blocks for embedding agents with decision rights, governance, feedback, and human oversight.
Purpose
Move enterprises from scattered AI pilots to The Strategy Stack’s Agentic Operating Model (AOM): agents interpret intent, act within bounds, and improve from outcomes while humans retain authority over goals, ethics, and exceptions. AOM is a TSS framework — not an external certified standard. Use this guide for building blocks; use the long-form TSS essay for narrative depth and Discover for tooling/playbooks.
When to use
- AI pilots create dashboards and assistants but leave decision latency and escalation patterns unchanged.
- Leadership wants agents in core workflows (ops, support, finance, GTM) and needs accountability design first.
- Teams confuse agent catalogs with operating-model readiness.
Components
- Agent architecture — roles (planner, executor, reviewer) and hard boundaries
- Human decision rights — autonomous, approval-required, and always-human zones
- Governance and safety — audit trails, escalation, permissions, compliance constraints
- KPIs and feedback loops — outcome metrics, drift monitoring, continuous evaluation
- Incentives and accountability — ownership for agent performance tied to outcomes
- Data and tool access model — trusted sources, secured tool use, least privilege
Steps
- Select one high-value workflow and name the decisions inside it (not only the tasks).
- Draft agent roles and explicit “cannot do” boundaries before selecting vendors or models.
- Write human decision rights as policy: what auto-runs, what escalates, what never leaves humans.
- Define escalation interfaces (briefing → oversight → review) so humans intervene at judgment points only.
- Instrument outcome KPIs and correction capture; require weekly learning reviews for the pilot loop.
- Assign accountable owners for agent behavior; align incentives to outcomes, not ticket volume.
- Expand access to data/tools only after governance and kill switches are live.
Limitations
- Will fail if treated as an IT tooling rollout without redesigning decision rights and incentives.
- Does not remove the need for domain expertise, ethics judgment, or change management.
- Related essays may contrast lower- vs higher-autonomy organizations using TSS “level” language. Treat that as interpretive framing for autonomy, not as an external maturity standard to cite as industry fact.
Studio note
Eligible for future Studio tooling — no live tool link in MVP.