{"id":2208,"date":"2026-06-15T09:46:18","date_gmt":"2026-06-15T09:46:18","guid":{"rendered":"https:\/\/www.scoutagentics.com\/blog\/?p=2208"},"modified":"2026-06-15T13:52:56","modified_gmt":"2026-06-15T13:52:56","slug":"promise-theory-principles-and-applications-for-agentic-trust","status":"publish","type":"post","link":"https:\/\/www.scoutagentics.com\/blog\/promise-theory-principles-and-applications-for-agentic-trust\/","title":{"rendered":"Promise Theory principles and applications for agentic trust"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large is-style-default\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/www.scoutagentics.com\/blog\/wp-content\/uploads\/2026\/06\/metaimagept-1024x683.jpeg\" alt=\"Promise Theory concept visual showing a glowing digital trust shield connected to cloud, AI, network, security, infrastructure, and analytics icons over a futuristic global technology background.\" class=\"wp-image-2215\" srcset=\"https:\/\/www.scoutagentics.com\/blog\/wp-content\/uploads\/2026\/06\/metaimagept-1024x683.jpeg 1024w, https:\/\/www.scoutagentics.com\/blog\/wp-content\/uploads\/2026\/06\/metaimagept-300x200.jpeg 300w, https:\/\/www.scoutagentics.com\/blog\/wp-content\/uploads\/2026\/06\/metaimagept-768x512.jpeg 768w, https:\/\/www.scoutagentics.com\/blog\/wp-content\/uploads\/2026\/06\/metaimagept.jpeg 1500w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.scoutagentics.com\/blog\/promise-theory-principles-and-applications-for-agentic-trust\/#Introduction\" >Introduction<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.scoutagentics.com\/blog\/promise-theory-principles-and-applications-for-agentic-trust\/#What_Is_Promise_Theory\" >What Is Promise Theory?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.scoutagentics.com\/blog\/promise-theory-principles-and-applications-for-agentic-trust\/#Why_Promise_Theory_Is_Just_Right_for_Distributed_Agentic_Systems\" >Why Promise Theory Is Just Right for Distributed, Agentic Systems<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.scoutagentics.com\/blog\/promise-theory-principles-and-applications-for-agentic-trust\/#Why_Agentic_AI_Needs_Promise_Theory\" >Why Agentic AI Needs Promise Theory<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.scoutagentics.com\/blog\/promise-theory-principles-and-applications-for-agentic-trust\/#Applying_Promise_Theory_in_IT_Operations_and_Observability\" >Applying Promise Theory in IT Operations and Observability<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.scoutagentics.com\/blog\/promise-theory-principles-and-applications-for-agentic-trust\/#How_Promise_Theory_Strengthens_AI_Governance_and_Accountability\" >How Promise Theory Strengthens AI Governance and Accountability<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.scoutagentics.com\/blog\/promise-theory-principles-and-applications-for-agentic-trust\/#How_Scout_Applies_Promise_Theory_for_Agentic_Trust\" >How Scout Applies Promise Theory for Agentic Trust<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.scoutagentics.com\/blog\/promise-theory-principles-and-applications-for-agentic-trust\/#Practical_Steps_for_IT_and_Business_Leaders\" >Practical Steps for IT and Business Leaders<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.scoutagentics.com\/blog\/promise-theory-principles-and-applications-for-agentic-trust\/#Conclusion\" >Conclusion<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.scoutagentics.com\/blog\/promise-theory-principles-and-applications-for-agentic-trust\/#Frequently_Asked_Questions\" >Frequently Asked Questions<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Introduction\"><\/span>Introduction<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nAutonomous systems are now making real operational decisions. AI agents restart services, reroute traffic, escalate incidents, and propose remediation steps. The pace of action is faster than any human team could match. The trouble is that speed without trust creates a new kind of risk. \n<\/p>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nSo how do you know whether an AI agent did the right thing? And how do you know if it will do the right thing tomorrow? And to make matters even more complicated, how do you explain that confidence to a CEO who just wants a simple answer: Is the business reliable?\n<\/p>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nThis is where Promise Theory becomes more than an academic idea. It becomes a practical framework for agentic trust, observability, and modern reliability engineering.  It gives enterprises a way to define what each agent commits to, to monitor whether those commitments are kept, and to ensure decision chains are transparent and logical.   Let&#8217;s unpack how it works and why it matters. \n<\/p>\n\n\n\n<h2><span class=\"ez-toc-section\" id=\"What_Is_Promise_Theory\"><\/span>What Is Promise Theory?\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nPromise Theory, conceived by computer scientist Mark Burgess, is a model  describing how autonomous agents cooperate and work together based on the promises they make.\n<\/p>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nRather than just being told what to do, each agent makes promises about what it will deliver. Other components then decide whether to rely on those promises based on what evidence shows over time.\n<\/p>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nThe shift from issuing orders to committing to deliver sounds like a small change. But in practice, it completely changes the way things work.\n<\/p>\n\n\n\n<h3>The Three Building Blocks\n<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Agents<\/strong>: The autonomous actors. These include AI agents, orchestrators, sub-agents, microservices, network devices, and humans.<\/li>\n\n\n\n<li><strong>Promises<\/strong>: Voluntary commitments made by each agent. For example, a sub-agent might promise to spot latency spikes within 30 seconds and flag the orchestrator.<\/li>\n\n\n\n<li><strong>Assessments<\/strong>: A continuous check to see if those promises are actually being kept<\/li>\n<\/ol>\n\n\n\n<h2><span class=\"ez-toc-section\" id=\"Why_Promise_Theory_Is_Just_Right_for_Distributed_Agentic_Systems\"><\/span>Why Promise Theory Is Just Right for Distributed, Agentic Systems\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nTraditional command-and-control models assume the center knows everything and dictates behavior. But modern systems don&#8217;t work like that. Cloud services, networks, and AI operate independently, often across different vendors and regions. Promise Theory accepts this reality. It regards every component as voluntary and verifiable, which is exactly how agentic AI behaves.\n<\/p>\n\n\n\n<div class=\"network-section\">\n        <h1 class=\"network-title\">How to Measure Agentic Trust: A Practical IT Leader\u2019s Guide\n<\/h1>\n        <div class=\"network-buttons\">\n           \n            <button type=\"button\" class=\"btn btn-primary btn-book-your-demos\" title=\"Schedule a Demo\">\n                <a href=\"https:\/\/calendly.com\/scout-it-monitor-call\/30min\" onclick=\"Calendly.initPopupWidget({url: &#039;https:\/\/calendly.com\/scout-it-monitor-call\/30min?hide_gdpr_banner=1&#038;background_color=ddeef1&#038;primary_color=0c6983&#039;});return false;\" style=\"text-decoration: none; color:#175264;\" target=\"_blank\" rel=\"noopener\">Book a 30 Min Call<\/a>\n            <\/button>\n        <\/div>\n    <\/div>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2><span class=\"ez-toc-section\" id=\"Why_Agentic_AI_Needs_Promise_Theory\"><\/span>Why Agentic AI Needs Promise Theory\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nAgentic AI is not just a chatbot. It is software that plans, acts, and adapts. When agents start touching production systems, &#8220;the model said so&#8221; is not a governance answer.\n<\/p>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nPromise Theory closes that gap by making agentic behavior transparent, accountable, and verifiable.\n<\/p>\n\n\n\n<h3>From Black Box to Observable Commitments<\/h3>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nAn AI agent without any declared promises is like a black box. You see the outputs, but not the intent or boundaries. When that same agent makes explicit promises &#8211; &#8220;I&#8217;ll only restart pods in the staging cluster&#8221; or &#8220;I&#8217;ll escalate any RPI Score drop below 70&#8221; &#8211; you suddenly have something to check against.\n<\/p>\n\n\n\n<h3>Trust Built on Evidence, Not Hope<\/h3>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nTrust is not about feelings, it&#8217;s a record of promises kept. Promise Theory lets enterprises build up that record through continuous assessment. Over time, every agent earns (or loses) a trust profile based on whether its actions matched its commitments.\n<\/p>\n\n\n\n<h3>Clarity Across the Agentic Workforce<\/h3>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nIn Scout&#8217;s <a href=\"https:\/\/www.scoutagentics.com\/\" target=\"_blank\" style=\"text-decoration: none; color: #0669ff;\" onmouseover=\"this.style.color=&#039;#0669ff&#039;\" onmouseout=\"this.style.color=&#039;#0669ff&#039;\">Agentic Workforce Framework <\/a> orchestrators delegate work to sub-agents that rake over issues, spot anomalies and propose fixes. Without promises, that hierarchy becomes muddled rapidly. With promises, every agent has a clear role, a measurable output, and a defined escalation path.\n<\/p>\n\n\n\n<h2><span class=\"ez-toc-section\" id=\"Applying_Promise_Theory_in_IT_Operations_and_Observability\"><\/span>Applying Promise Theory in IT Operations and Observability<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nMost observability stacks today are good at collecting telemetry but not at making sense of it. They pile up logs, metrics, traces, and alerts. Operations teams get drowned in noise. Promise Theory cuts through that noise by changing the question.\n<\/p>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nInstead of asking &#8220;What is the system doing?&#8221;, you ask &#8220;Is the system keeping its promises?&#8221;\n<\/p>\n\n\n\n<h3>Defining Promises Between Systems and Services<\/h3>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nEach service, agent, and component declares what it will deliver. A network path promises a latency ceiling. An application promises a response time. A cloud region promises availability. An AI agent promises to triage incidents within a window.\n<\/p>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nThese commitments are what <a href=\"https:\/\/www.scoutagentics.com\/\" target=\"_blank\" style=\"text-decoration: none; color: #0669ff;\" onmouseover=\"this.style.color=&#039;#0669ff&#039;\" onmouseout=\"this.style.color=&#039;#0669ff&#039;\">Scout&#8217;s event intelligence layer <\/a> keeps an eye on continuously, across hybrid cloud, on-prem, and multi-vendor stacks.\n<\/p>\n\n\n\n<h3>Verifying Promises with Reliability Intelligence\n<\/h3>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nVerification is where most monitoring tools fall short. Telling you a CPU is at 92% is not the same as telling you whether a reliability promise has been broken. The Reliability Path Index (RPI) Score condenses thousands of signals into one unified number that maps directly to whether services are keeping their promises.\n<\/p>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nWhen the RPI Score drops, you don&#8217;t get a flood of alerts. You get a clear answer: which promise failed, where, and what it means for the business.\n<\/p>\n\n\n\n<h3> Reducing Noise by Keeping Your Eye on What Was Promised\n<\/h3>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nAlert fatigue is a problem because every metric is screaming just as loudly as the next one. Promise-based monitoring only escalates when a declared commitment is at risk. The result is fewer false positives, faster triage, and meaningful MTTR reduction.\n<\/p>\n\n\n\n<h2><span class=\"ez-toc-section\" id=\"How_Promise_Theory_Strengthens_AI_Governance_and_Accountability\"><\/span> How Promise Theory Strengthens AI Governance and Accountability \n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nAI governance is moving from policy decks into operational reality. Boards want assurance. Regulators want auditability. Customers want safety. Promise Theory provides a mechanism that satisfies all three. \n<\/p>\n\n\n\n<h3> Accountability Boundaries Are Explicit\n<\/h3>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nEvery agent has to define what it promises to do and what its limits are. For instance, an agent that says &#8220;I&#8217;ll recommend a solution, but I won&#8217;t actually do it&#8221; is fundamentally different from one that says &#8220;I will auto-fix things within these constraints&#8221;. Both are okay, as long as the line is drawn clearly and is visible and enforceable.\n<\/p>\n\n\n\n<h3> The trouble starts when the agent starts to change its stripes\n<\/h3>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nWhen an agent starts acting out of character, that means it&#8217;s breaking a promise. And that&#8217;s something that can be observed and tracked. That&#8217;s the principle that Scout uses in its governance mechanisms to keep an eye on drift, cut down on hallucinations, and catch runaway automation before it gets out of hand.\n<\/p>\n\n\n\n<h3> Auditable AI decisions\n<\/h3>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nEvery action an agent takes can be linked to a specific promise and then checked against the outcome. That gives us a clear audit trail, something that&#8217;s super useful for internal reviews, executive reports, and regulatory compliance. Trust becomes something that can be measured and defended rather than just being some marketing buzzword.\n<\/p>\n\n\n\n<h2><span class=\"ez-toc-section\" id=\"How_Scout_Applies_Promise_Theory_for_Agentic_Trust\"><\/span> How Scout Applies Promise Theory for Agentic Trust\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nScout was designed with the idea that just being able to see what&#8217;s going on isn&#8217;t enough. You need an Event Intelligence Service that takes all that telemetry and turns it into plain language answers. And then you need to tie every signal back to a real business outcome. That&#8217;s just what Promise Theory does and Scout is built around that idea.\n<\/p>\n\n\n\n<h3> Promises mapped to the RPI Score\n<\/h3>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nThe RPI Score is a 13-bucket system that&#8217;s distilled from over 15 years of industry data. Each bucket represents one of the different dimensions of reliability, availability, performance, capacity, change risk, and so on. And when a promise starts to get at risk, the RPI Score reflects that right away.\n<\/p>\n\n\n\n<h3> Predictive Verification with Predictor, Blender, and Trender\n<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Predictor<\/strong> runs simulations to figure out how changes to operations might affect an agent&#8217;s ability to keep its promises. Teams can check whether a proposed change is likely to help or hurt before it&#8217;s even shipped.<\/li>\n\n\n\n<li><strong>Blender<\/strong> applies real-time Six Sigma analysis to detect patterns across alarms, events, and metrics, surfacing systemic issues that put promises at risk.&nbsp;<\/li>\n\n\n\n<li><strong>Trender<\/strong> uses Kaufman&#8217;s Adaptive Moving Average (KAMA) against a rolling 100-day baseline to catch early signs of degradation and broken promises in slow motion.&nbsp;<\/li>\n<\/ol>\n\n\n\n<h3>Trustworthy Autonomous Operations Across Hybrid Cloud\n<\/h3>\n\n\n\n<p class=\"block-detail-page-paragraph\">\n    Through \n    <a href=\"https:\/\/www.scoutagentics.com\/\" target=\"_blank\" style=\"text-decoration: none; color: #0669ff;\" onmouseover=\"this.style.color=&#039;#0669ff&#039;\" onmouseout=\"this.style.color=&#039;#0669ff&#039;\">Scout Cloud<\/a>,\n    \n    <a href=\"https:\/\/www.scoutagentics.com\/\" target=\"_blank\" style=\"text-decoration: none; color: #0669ff;\" onmouseover=\"this.style.color=&#039;#0669ff&#039;\" onmouseout=\"this.style.color=&#039;#0669ff&#039;\">Scout Applications<\/a>,\n    \n    and\n    \n    <a href=\"https:\/\/www.scoutagentics.com\/\" target=\"_blank\" style=\"text-decoration: none; color: #0669ff;\" onmouseover=\"this.style.color=&#039;#0669ff&#039;\" onmouseout=\"this.style.color=&#039;#0669ff&#039;\">Scout Networks<\/a>,\n    \n    every path through the cloud, every application call, and every network hop can be tied to a clear commitment. And that means you can run autonomous remediation with confidence, because you know exactly what the boundaries and expectations are.\n<\/p>\n\n\n\n<h3> Business-Context-Aware Insights\n<\/h3>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nScout takes promise verification and turns it into plain-language insights that executives can use. The CEO doesn&#8217;t need to know what Kaufman&#8217;s Adaptive Moving Average is; they just need to know if the business is reliable, whether things are on the right track, and whether it&#8217;s worth investing in.\n<\/p>\n\n\n\n<div style=\"height:0px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2><span class=\"ez-toc-section\" id=\"Practical_Steps_for_IT_and_Business_Leaders\"><\/span> Practical Steps for IT and Business Leaders\n<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p class=\"block-detail-page-paragraph\">\nAdopting Promise Theory is less about new technology and more about a new operating discipline. A few practical starting points: \n<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Inventory the promises that already exist.<\/strong> SLAs, runbooks, and architectural diagrams are full of implicit commitments made explicit.<\/li>\n\n\n\n<li><strong>Declare what your agents promise to do before you deploy them<\/strong>. Every AI agent or orchestrator should have a clear scope, a way to verify whether they&#8217;re keeping their promises, and a clear path for escalating problems.<\/li>\n\n\n\n<li><strong>Make promises specific to business outcomes<\/strong>. A latency promise is interesting, but a latency promise that&#8217;s tied to checkout completion rate is something you can really act on.<\/li>\n\n\n\n<li><strong>Keep track of trust over time<\/strong>. Keeping promises is a rolling score, not a one-time audit. Tools like Scout&#8217;s RPI Score make it continuous.<\/li>\n\n\n\n<li><strong>Govern the agentic workforce.<\/strong> Orchestrators, sub-agents, and human operators all need clear roles and visible commitments.<\/li>\n<\/ol>\n\n\n\n<div class=\"dashboard-title\">\n<h2><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span>Conclusion<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"block-detail-page-paragraph\">\nThe companies that get ahead with agentic AI are not going to be the ones who just deploy lots of agents; they&#8217;re going to be the ones who build reliable agents. And Promise Theory gives you the language, the structure and the model to make that happen.\n<\/p>\n<p class=\"block-detail-page-paragraph\">\nScout brings the intelligence layer to make it real reliability scores tied to promises, forecasting tied to investments, and plain-language insights tied to business decisions.\n <\/p>\n<p class=\"block-detail-page-paragraph\">\nIf you&#8217;re scaling up autonomous operations and need a way to measure trust explore how Scout applies Promise Theory for agentic trust or <a href=\"https:\/\/calendly.com\/scout-it-monitor-call\/30min?month=2026-06\" target=\"_blank\" style=\"text-decoration: none; color: #0669ff;\" onmouseover=\"this.style.color=&#039;#0669ff&#039;\" onmouseout=\"this.style.color=&#039;#0669ff&#039;\" rel=\"noopener\"> Request a demo<\/a> to see how the RPI Score turns your environment into a single, business-friendly signal for reliability.\n<\/p>\n<\/div>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span>Frequently Asked Questions<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"accordion\">\n\n  <div class=\"accordion-item\">\n    <div class=\"accordion-header\">\n      Q1. What is Promise Theory?\n      <span class=\"dropdown-icon\"><\/span>\n    <\/div>\n    <div class=\"accordion-content\" style=\"display: block;\">\n      <p>\n Promise Theory is a model created by computer scientist Mark Burgess. It explains how autonomous components work together by making promises to each other &#038; then being continuously checked on to see if they keep them up to scratch. This has been widely adopted in distributed systems, in IT operations &#038; is now being looked at for agentic AI.\n      <\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"accordion-item\">\n    <div class=\"accordion-header\">\n      Q2. How does Promise Theory apply to agentic AI?\n      <span class=\"dropdown-icon\"><\/span>\n    <\/div>\n    <div class=\"accordion-content\">\n      <p>\n      With agentic AI, which is software that plans &#038; acts on its own, Promise Theory helps define each agent&#8217;s scope &#038; what it&#8217;s promising to do. This makes its behaviour much clearer, accountable and easy to see whether it&#8217;s working as promised, rather than being just a mystery.\n      <\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"accordion-item\">\n    <div class=\"accordion-header\">\n      Q3. What is agentic trust?\n\n      <span class=\"dropdown-icon\"><\/span>\n    <\/div>\n    <div class=\"accordion-content\">\n      <p>\n       Agentic trust is when an organisation is confident in the autonomous systems it&#8217;s using because it can see they&#8217;re keeping their promises. It&#8217;s built up over time by verifying things, not just assumed when an AI is first turned on.\n      <\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"accordion-item\">\n    <div class=\"accordion-header\">\n      Q4. Why do autonomous operations need Promise Theory? \n      <span class=\"dropdown-icon\"><\/span>\n    <\/div>\n    <div class=\"accordion-content\">\n      <p>\n        With autonomous operations making decisions much faster than any human can keep an eye on, Promise Theory provides a structure that lets you set boundaries, keep an eye on commitments &#038; know if those agents stray from what they said they&#8217;d do.\n      <\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"accordion-item\">\n    <div class=\"accordion-header\">\n      Q5. How does Promise Theory improve observability?\n      <span class=\"dropdown-icon\"><\/span>\n    <\/div>\n    <div class=\"accordion-content\">\n      <p class=\"block-detail-page-paragraph\">\n Instead of just being swamped with all sorts of metrics without any meaning, Promise Theory lets you focus on whether the promises being made are actually being met. This gets rid of a lot of unnecessary noise &#038; makes it so much clearer what&#8217;s going on.\n<\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"accordion-item\">\n    <div class=\"accordion-header\">\n      Q6. How can Promise Theory support AI governance?\n      <span class=\"dropdown-icon\"><\/span>\n    <\/div>\n    <div class=\"accordion-content\">\n      <p>\n        It&#8217;s very useful in making sure that every AI agent is doing what it&#8217;s supposed to you can see exactly what its scope is &#038; what it&#8217;s doing and that makes it much easier to keep an eye on things internally, report to execs &#038; comply with regulations.\n      <\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"accordion-item\">\n    <div class=\"accordion-header\">\n      Q7. What are system promises in IT operations?\n      <span class=\"dropdown-icon\"><\/span>\n    <\/div>\n    <div class=\"accordion-content\">\n      <p>\n        A system promise is just a declared commitment by a service, an app, a network or an AI agent maybe something like an uptime target, a latency limit or a promise to respond to something within a certain time. These commitments can then be checked on to see if they&#8217;re being kept.\n      <\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"accordion-item\">\n    <div class=\"accordion-header\">\n      Q8. How does Scout use Promise Theory?\n      <span class=\"dropdown-icon\"><\/span>\n    <\/div>\n    <div class=\"accordion-content\">\n      <p>\n        Scout puts Promise Theory into its Event Intelligence Service, linking up promised commitments with its RPI Score, agentic workforce framework &#038; analysis engines so businesses can check if systems &#038; agents are living up to their reliability promises.\n      <\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"accordion-item\">\n    <div class=\"accordion-header\">\n      Q9.  How does the RPI Score relate to Promise Theory?\n      <span class=\"dropdown-icon\"><\/span>\n    <\/div>\n    <div class=\"accordion-content\">\n      <p>\n       The Reliability Path Index takes all those metrics &#038; squishes them down to 13 reliability categories. Each category is linked to a particular type of promise, making the RPI Score a nice, clear &#038; business-friendly measure of whether promises are being kept.\n      <\/p>\n    <\/div>\n  <\/div>\n\n  <div class=\"accordion-item\">\n    <div class=\"accordion-header\">\n      Q10. How can enterprises measure trust in AI agents? \n      <span class=\"dropdown-icon\"><\/span>\n    <\/div>\n    <div class=\"accordion-content\">\n      <p>\nYou do it by making each agent promise what it&#8217;s going to do, checking if it keeps to that promise &#038; tracking how it does over time. Trust then becomes a solid, evidence-based score, not just a guess which is exactly what Scout&#8217;s reliability intelligence does.\n      <\/p>\n    <\/div>\n  <\/div>\n\n<\/div>\n\n<div class=\"post-bottom-meta post-bottom-tags post-tags-modern\">\n  <div class=\"post-bottom-meta-title\">\n    <span class=\"tie-icon-tags\" aria-hidden=\"true\"><\/span> Tags\n  <\/div>\n  <span class=\"tagcloud\">\n    <a href=\"#\" rel=\"tag\">PromiseTheory<\/a>\n    <a href=\"#\" rel=\"tag\">AgenticTrust<\/a>\n    <a href=\"#\" rel=\"tag\">AgenticAI<\/a>\n    <a href=\"#\" rel=\"tag\">AutonomousOperations<\/a>\n    <a href=\"#\" rel=\"tag\">Observability<\/a>\n    <a href=\"#\" rel=\"tag\">EventIntelligence<\/a>\n<a href=\"#\" rel=\"tag\">ReliabilityEngineering<\/a>\n    <a href=\"#\" rel=\"tag\">ReliabilityIntelligence<\/a>\n<a href=\"#\" rel=\"tag\">AIObservability<\/a>\n<a href=\"#\" rel=\"tag\">ScoutAgentics<\/a>\n  <\/span>\n<\/div>\n\n\n\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"profile-card\">\n  <img decoding=\"async\" src=\"https:\/\/blog.scoutagentics.com\/wp-content\/uploads\/2025\/09\/cropped_circle_image.png\" alt=\"Profile Image\" class=\"profile-photo\">\n  <div class=\"profile-details\">\n    <h3 class=\"profile-name\">Tony Davis<\/h3>\n    <p class=\"profile-role\"> Director of Agentic Solutions &#038; Compliance<\/p>\n  <\/div>\n<\/div>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introduction Autonomous systems are now making real operational decisions. AI agents restart services, reroute traffic, escalate incidents, and propose remediation steps. The pace of action is faster than any human team could match. The trouble is that speed without trust creates a new kind of risk. So how do you know whether an AI agent &hellip;<\/p>\n","protected":false},"author":9,"featured_media":2215,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"cybocfi_hide_featured_image":"yes","footnotes":""},"categories":[20],"tags":[],"class_list":["post-2208","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-promise-theory"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Promise Theory principles and applications for agentic trust<\/title>\n<meta name=\"description\" content=\"Explore how Promise Theory supports agentic trust, AI governance, observability, and reliable autonomous operations.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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