SCOTTSDALE, AZ, UNITED STATES, June 17, 2026 /EINPresswire.com/ — Laird Miller‘s AgentPay obtained an award on the EasyA Hackathon held throughout Consensus Miami in 2026, reflecting a milestone within the entrepreneur’s effort to use synthetic intelligence to sensible enterprise workflows and actual property operations.
The award acknowledges AgentPay as an AI-based payment-enabled reception answer developed to perform as an accessible AI endpoint for companies. AgentPay was constructed throughout the broader portfolio of services and products created by Laird Miller, the founding father of RentalCalcAI and LMAIsystems. The popularity on the EasyA Hackathon adopted a multi-year program of product growth and operational engagement that mixed actual property execution, capital technique, and AI methods design.
Laird Miller has maintained direct involvement in actual property growth and capital technique work whereas constructing software program and AI methods. That have contains growth evaluation, lender communications, investor materials creation, draw monitoring, build-to-rent workflow growth, and operations system design by way of work with Matrix Equities. These operational obligations knowledgeable the product necessities that led to AgentPay and different methods meant to scale back guide work and enhance communication processes for companies and growth groups.
RentalCalcAI, launched in 2021, is an instance of a product created from that operational perspective. The platform was developed to help property homeowners and traders in evaluating rental property investments by automating and consolidating duties that historically relied on a number of software program instruments and guide spreadsheet calculations. RentalCalcAI supplies instruments for evaluating eventualities, reviewing underwriting assumptions, and aligning evaluation with lender standards, reflecting a growth method grounded in real-world underwriting and growth workflows moderately than an summary software-first technique.
LMAIsystems was established to design, develop, and implement AI methods for small and native companies with the purpose of accelerating operational effectivity by way of automation. LMAIsystems options embody AI-based receptionists, appointment reserving methods, lead funnel chatbots, missed-call automation, buyer follow-up methods, and conversion-based workflow automation. These options had been developed to handle particular operational gaps recognized in consumer engagements, with an emphasis on measurable operational outcomes moderately than experimental or speculative capabilities.
Miller’s method to know-how growth emphasizes iterative execution and shut alignment with enterprise course of necessities. That methodology derives from an early, self-directed examine of software program growth, integration of APIs, automation frameworks, database and consumer interface design, and enterprise logic previous to finishing faculty. The sensible studying path centered on a build-test-improve-repeat cycle and on growing merchandise that resolve recurring operational friction in enterprise capabilities corresponding to underwriting, investor reporting, and lender communications.
The EasyA Hackathon award highlighted AgentPay’s position as a payment-enabled reception endpoint, and the popularity was offered amid a program targeted on sensible functions of AI in enterprise workflows. The award is cited by Miller as additional validation of a product growth philosophy that prioritizes fixing concrete issues for companies working inside actual property, monetary providers, and native commerce. Miller has described the motivation for that philosophy in public feedback, noting a concentrate on recurring friction as a supply of alternative and a desire for methods that produce measurable outcomes. “AI should produce measurable outcomes,” stated Laird Miller, Founding father of RentalCalcAI and LMAIsystems.
Miller’s work in capital technique and growth operations has additionally included participation in capital sourcing and fundraising actions for build-to-rent developments in Arizona and Texas, and people actions have knowledgeable product necessities for the know-how choices. The mixing of capital technique expertise with software program growth exercise has been offered by Miller as a driver for methods that help underwriting, investor supplies, draw monitoring, and challenge operational workflows.
The award for AgentPay is framed by Miller’s said long-term concentrate on the convergence of actual property growth, capital sourcing, and sensible AI integration. That focus contains plans to proceed growth of research instruments for property traders, increase automation and reception methods meant for small companies, and apply operational information to the design of methods that help real-world growth and investor workflows. The popularity on the EasyA Hackathon is offered as a milestone inside that ongoing program of product growth and utilized AI methods engineering.
The event pathway described by Miller contrasts with a software-first mannequin by starting with operational engagement after which constructing methods to handle recognized inefficiencies. That sequence has formed product necessities throughout RentalCalcAI, LMAIsystems, and AgentPay, and it has pushed engagement with growth groups, lenders, and investor relations processes as a part of the product design lifecycle. The award at Consensus Miami’s EasyA Hackathon marks a documented occasion of exterior recognition for a product that originated in operational drawback fixing and developed into an AI-enabled enterprise endpoint.
About Laird Miller
Laird Miller is an Arizona-based actual property growth and capital technique specialist, AI methods builder, and entrepreneur. He’s the founding father of RentalCalcAI and LMAIsystems and engages in actual property growth and capital technique work by way of Matrix Equities. His work focuses on combining sensible enterprise execution with AI methods to enhance underwriting, growth operations, and enterprise automation.
RentalCalcAI & LMAIsystems
Laird Miller
contact@lairdmiller.com
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