# Your business has rules. Is your AI following them? Source: https://aletyx.ai/ Aletyx puts your business rules **between the agent and the action**, and keeps the proof. Applications and AI agents run the same deterministic rules. You can explain, trace, and audit every result. [See it in action](https://aletyx.ai/#see-it-in-action) [Talk to a founder](https://aletyx.ai/contact/) ## Running Drools, jBPM, KIE Server, RHPAM, RHDM, or BAMOE? Keep your business running. Modernize on your terms with a drop-in upgrade, from the team that led these products at Red Hat and IBM. No rewrite required. [Explore modernization](https://aletyx.ai/modernization/) > Our critical decisioning now runs on Aletyx within Plaisse, enabling us to continue modernizing our legacy Drools/BRMS infrastructure **in weeks, without business disruption**, and providing a scalable, AI-enabled foundation for our future decisioning capabilities. **Darshan Mehta** Managing Director, Application Development at Pennymac Customers include PennyMac, JPMorgan Chase, Dubai Islamic Bank, Omron, UNIR — La Universidad en Internet. ## Even the CEO has to follow the policy. ### An agent gets a request it can’t grant. Watch the refusal, then see how the policy behind it was written, run, and recorded. ### Write the policy #### Start with your policy document. Attach your policy and ask the assistant to turn it into a model. #### AI drafts an executable model. Your policy becomes connected inputs and decisions that your team can inspect. #### Review the rules before they run. Business customers ordering fewer than 10 items get 10%. Remember this rule. #### Publish the policy your agent will run. Version 1.0 is ready. This is the rule the CEO is about to test. ### The agent follows it #### Your agent runs the policy you published. A Business customer orders five items. Your policy returns a 10% discount. #### The CEO asks. The policy still answers. Without the policy, an agent says yes. With it, the answer stays 10%, and the run is on record. #### The answer comes with an execution record. Open the execution log to see the inputs, version, result, and rule behind this answer. ### The proof #### Open the record behind the answer. The same Business order of five returned 10%. Inspect the caller, inputs, model version, and result. #### See which rule decided it. The rule you reviewed before publishing decided the answer. That is your proof. ### Put AI agents to work where they move your bottom line. An agent that improvises a discount, an approval, or an exception costs you a refund, a repurchase, or a finding. One that only drafts and assists doesn’t change your numbers. With policy controlling the action, agents can take on pricing, approvals, eligibility, and exceptions. Your team stays in control. Every result can be defended. The same policy extends across your operation: enterprise systems, the processes between them, and one task flow for people and agents, on the systems you already depend on. > Aletyx is the main team behind Drools, building the most advanced AI decisioning for agents I've seen. **Paul Vincent** Independent analyst, ex-Gartner [See what else your agents can run](https://aletyx.ai/platform/) ## From the team building Aletyx. What we’re learning about accountable AI, decision models, and the systems that run your business. Webinar insights Sep 17, 2026 ### [Making AI Agents Suitable for Regulated Industries](https://aletyx.ai/blog/ai-agents-for-regulated-industries/) Agents are shipping in regulated industries, but almost all of them only draft and assist. The reason is not capability, it is accountability. The fix is to move the decision out of the language model and into something a human can review, version, and defend. [Julio Faerman](https://aletyx.ai/about/julio-faerman/) [Read article](https://aletyx.ai/blog/ai-agents-for-regulated-industries/) LinkedIn ### [Better AI makes the decision layer more valuable.](https://www.linkedin.com/feed/update/urn:li:activity:7510803618497732608/) Two borrowers send the same message, but their loans need different outcomes. Jev reads the language; Aletyx applies the dates and policy. Here’s why better AI makes the decision layer more valuable. [Alex Porcelli](https://aletyx.ai/about/alex-porcelli/) [Read on LinkedIn](https://www.linkedin.com/feed/update/urn:li:activity:7510803618497732608/) LinkedIn ### [Turn an LLM’s decision into a model you can trust.](https://www.linkedin.com/posts/timwuthenow_paul-vincent-and-alex-porcelli-turn-an-llms-activity-7506003335754186752-RoYh) Paul Vincent and Alex Porcelli turn an LLM’s decision into a model you can trust. See what it takes before that model touches a real transaction. [Tim Wuthenow](https://aletyx.ai/about/tim-wuthenow/) [Read on LinkedIn](https://www.linkedin.com/posts/timwuthenow_paul-vincent-and-alex-porcelli-turn-an-llms-activity-7506003335754186752-RoYh) LinkedIn ### [Just landed in San Francisco.](https://www.linkedin.com/posts/alexporcelli_just-landed-in-san-francisco-ill-be-spending-share-7506502450850369536-eU3M/) I’m looking forward to meeting other founders and technology teams, learning from what they’re building, and sharing what we’ve been building at Aletyx around accountable agents and enterprise decisioning. [Alex Porcelli](https://aletyx.ai/about/alex-porcelli/) [Read on LinkedIn](https://www.linkedin.com/posts/alexporcelli_just-landed-in-san-francisco-ill-be-spending-share-7506502450850369536-eU3M/) Industry insights Aug 5, 2026 ### [Meeting the 2026 GSE Governance Rules with Accountable AI](https://aletyx.ai/blog/2026-mortgage-gse-compliance/) How Aletyx helps you build AI applications that are accountable for regulatory compliance, including the 2026 GSE AI governance requirements. [Julio Faerman](https://aletyx.ai/about/julio-faerman/) [Ken Otto](https://aletyx.ai/about/ken-otto/) [Read article](https://aletyx.ai/blog/2026-mortgage-gse-compliance/) LinkedIn ### [The harness era: enterprise AI is turning back into software architecture](https://www.linkedin.com/feed/update/urn:li:activity:7480252291359465474/) For me, the harness feels like coming home. It separates the problem: the model on one side, everything else on the other. Context, tools, guidance. Enterprise AI turns back into something we’ve spent decades learning how to do: software architecture. [Alex Porcelli](https://aletyx.ai/about/alex-porcelli/) [Read on LinkedIn](https://www.linkedin.com/feed/update/urn:li:activity:7480252291359465474/) LinkedIn ### [Day 2 of my first MISMO Summit.](https://www.linkedin.com/posts/timwuthenow_day-2-of-my-first-mismo-summit-and-we-picked-ugcPost-7498008700843069442-cDE9/) What has stood out to me is simply how welcoming the community is and how competitors talk freely. There is a willingness to share the hard problems, admit gaps, and figure out where the industry goes next, especially around AI, FRAME, governance, and what all of this looks like in practice. [Tim Wuthenow](https://aletyx.ai/about/tim-wuthenow/) [Read on LinkedIn](https://www.linkedin.com/posts/timwuthenow_day-2-of-my-first-mismo-summit-and-we-picked-ugcPost-7498008700843069442-cDE9/) Webinar insights Sep 16, 2026 ### [What Makes a Good Decision Model?](https://aletyx.ai/blog/what-makes-a-good-decision-model/) Two DMN models of the same regulation can both pass their tests while only one survives the next amendment to the law. From the inaugural Aletyx industry webinar with Dr. Jan Purchase: traceability, knowledge sources, rationale capture, constrained types, clean factoring, and tests. [Julio Faerman](https://aletyx.ai/about/julio-faerman/) [Read article](https://aletyx.ai/blog/what-makes-a-good-decision-model/) LinkedIn ### [A wrong calculation gets repurchased.](https://www.linkedin.com/posts/timwuthenow_calculation-errors-in-mortgage-asset-files-activity-7508555892049551360-PFa-/) Calculation errors in mortgage asset files jumped from 18% of findings to 43% in one quarter. Documentation errors fell in that same window. That’s ACES Quality Management’s Q1 QC data. Lenders fixed the problem they were watching, and the risk moved to the math underneath it. A missing document gets cured. A wrong calculation gets repurchased. [Tim Wuthenow](https://aletyx.ai/about/tim-wuthenow/) [Read on LinkedIn](https://www.linkedin.com/posts/timwuthenow_calculation-errors-in-mortgage-asset-files-activity-7508555892049551360-PFa-/) LinkedIn ### [Butterflies: startup edition.](https://www.linkedin.com/feed/update/urn:li:activity:7501761615478882305/) Aletyx will exhibit at a large business conference for the first time. That is completely new to me. Right now, I am learning everything involved in preparing a booth: design, materials, logistics, demos, cost, and many details I had never considered before. [Alex Porcelli](https://aletyx.ai/about/alex-porcelli/) [Read on LinkedIn](https://www.linkedin.com/feed/update/urn:li:activity:7501761615478882305/) [Explore our resources](https://aletyx.ai/resources/) > “We watched customers get forced into rewrites of systems that worked. After nearly two decades building this technology in open source and leading it at Red Hat and IBM, we left to build what it was never allowed to be.”![Alex Porcelli](https://aletyx.ai/_astro/alex.DSgiN440_RCGdy.webp) ![Tim Wuthenow](https://aletyx.ai/_astro/tim.Bqy1ExdV_ZaoJ3v.webp) ![Eduardo Cerqueira](https://aletyx.ai/_astro/eduardo.DeeWzaqE_28cEGj.webp) [Read our story](https://aletyx.ai/about-us/) Already running Drools or KIE Server? ## Enterprise support for the systems you depend on. Aletyx Platform runs on enterprise-supported builds of Drools, Kogito, and KIE Server. The rules and workflows you already trust keep running while you put AI agents to work. [Explore modernization](https://aletyx.ai/modernization/) [ ### Enterprise Drools Run your business rules with enterprise support, including existing Drools v7 applications. ](https://aletyx.ai/enterprise-drools/)[ ### Enterprise Kogito Build and run cloud-native decisions and workflows with enterprise support. ](https://aletyx.ai/enterprise-kogito/)[ ### Enterprise KIE Server Keep existing rules, processes, and integrations running while you modernize at your own pace. ](https://aletyx.ai/enterprise-kie-server/) Direct founder conversation ## Put your policy between the agent and the action. Bring one critical workflow, or the system you need to modernize. We’ll show you where policy should govern, what you can reuse, and a practical place to start. [Talk to a founder](https://aletyx.ai/contact/)