Outreach Templates

Your Research Manifesto explicitly seeks guard-rail annotations, verification patterns, and objective-based execution blocks. The BPM/Agent Stack Clause 8 provides exactly this: a 21-attribute governed activity model derived from RACI, SIPOC, and Value Stream Mapping, applied to agent execution. The full spec is now published at bpmstack.org with an 88-term glossary written for agent practitioners.

Your A-BPMS vision — autonomous management of processes within constraints — maps to the BPM/Agent Stack's agent species model (Clause 6), where each deployment pattern is a governance configuration at the delegation interface. The full spec is now published at bpmstack.org.

Your formalization of path-dependent policy evaluation parallels the Intent Stack's cascade algebra (Annex C.4), where governance properties are checked at delegation boundaries with self-correctability properties.

Your framing — 'deterministic guardrails within which non-deterministic AI operates' — is the central design principle of the BPM/Agent Stack. Clause 8 separates deterministic governance (DMN decision tables with UNIQUE hit policies) from probabilistic judgment (LLM inference).

Your decade of work on agent-based BPM predates most of the AI agent community's discovery that they need process governance. The BPM/Agent Stack is the formalization of what you've been arguing for.

Reference his IBM Consulting background — 'With your 13 years leading AI and data transformation at IBM Consulting, you'll recognize the BPM patterns immediately. The BPM/Agent Stack specification grounds what you already know about process governance in agent-specific application.'

Reference FINOS and human-first governance — 'Your human-first approach to AI governance aligns with the Intent Stack's governance-as-relationship principle. The FINOS AI Governance Framework provides the three-lines-of-defense model; the BPM/Agent Stack provides the execution governance layer within each line.'

Reference Partnership on AI and runtime governance — 'JPMorgan's explicit focus on runtime governance of agent behavior — controls operating at point of execution producing evidence of constraint — is exactly what the BPM/Agent Stack formalizes.'

Reference PURE framework — 'Your dual role leading both governance and transformation at DBS reflects a structural insight the Intent Stack formalizes: governance is not a constraint on transformation, it is the mechanism through which transformation maintains coherence.'

IBM's BPM heritage — Blueworks Live, Business Automation Workflow, decades of enterprise process governance — is the strongest natural foundation for AI agent execution governance. The BPM/Agent Stack specification explicitly references IBM's operational validation.

Camunda occupies the exact intersection where this bridge needs to be built. Your platform already provides BPMN 2.0 orchestration; the BPM/Agent Stack specifies how that orchestration extends to govern AI agent execution.

Frame as input for AI Agent Standards Initiative. Reference control overlays for single and multi-agent systems. Emphasize the BPM discipline's proven governance patterns mapped to agent architectures.