Kainam Launches Mirador — The AI-Powered Application Builder Turning Industry Expertise Into Scalable Business Applications
Every enterprise sits on a vast, largely untapped body of operational knowledge — the accumulated expertise of domain specialists, finance teams, operations leaders, and industry practitioners who understand their business environment with a depth no generic software product can replicate. The problem has never been the absence of that knowledge. It has been the absence of a way to operationalise it — to transform what people know into applications that run, scale, and adapt in real time without requiring data engineering or data science teams to serve as intermediaries. Kainam, the AI-native Augmented Performance Management platform, has launched Mirador — a breakthrough AI-powered application builder that closes this gap directly.
Mirador enables organisations to build production-ready business applications through a conversation with KAI — Kainam's AI-native virtual assistant. Users describe their business needs in plain language. Mirador transforms them into intelligent, real-time applications powered by the organisation's own data — without writing a line of code, without configuring an integration layer, and without waiting months for an engineering team to build what a domain expert can now describe in minutes. Mirador is currently available to select partners and clients, with broader availability expected later in 2026.
The Problem Mirador Solves — The Integration Tax and the Application Development Gap
As organisations accelerate adoption of AI, data platforms, and performance management solutions, a structural gap has become more visible and more costly. Traditional application development remains too slow, too expensive, and too dependent on specialised data engineering and data science teams. The consequence is a growing backlog of business intelligence and operational applications that domain experts have designed in their heads but cannot deploy without extensive technical mediation — and a persistent disconnect between what the business needs and what the technology organisation can deliver.
Most existing tools have addressed pieces of this problem — low-code platforms that still require technical configuration, BI tools that produce dashboards rather than applications, and AI assistants that generate insights but cannot deploy them into live operational workflows. What they have not addressed is the underlying architecture problem: when data, analytics, planning, and AI live in separate systems connected by integrations, every application requires a custom integration layer that consumes engineering time, creates fragility, and slows the pace of iteration.
Kainam calls this the "integration tax" — and Mirador eliminates it entirely. By building natively within Kainam's unified AI-native platform, Mirador operates directly on top of the organisation's enterprise data without requiring any integration layer. Applications are not assembled from disconnected components — they are generated, deployed, and continuously updated within a single architecture where data, analytics, planning, and AI are already connected and operating in real time.
How Mirador Works — From Conversation to Production-Ready Application
The interaction model at the heart of Mirador is deliberately simple: a user describes their business need in plain language to KAI, Kainam's AI-native virtual assistant. That description — which might be a planning challenge, an operational control requirement, a forecasting problem, or a decision-support need — is transformed directly into an intelligent, real-time application powered by the organisation's own data. No technical specification. No engineering handoff. No integration project.
Dynamic Planning Tools — Strategy and Execution Connected in Real Time
Mirador enables teams to build dynamic planning applications that connect strategic intent to operational execution — replacing static spreadsheets and periodic planning cycles with continuously updated applications that reflect the current state of the business. As conditions change, the application adapts — keeping plans grounded in real data rather than stale assumptions, and enabling faster, better-informed decisions at every level of the organisation.
Operational Control Towers — End-to-End Visibility Across Business Operations
Operational control tower applications built through Mirador give business leaders a unified, real-time view of performance across functions — replacing the fragmented dashboards that typically require hours of manual aggregation with a single, intelligent application that surfaces the signals that matter and flags deviations from plan as they emerge. For operations, supply chain, and finance teams managing complex interdependencies, this kind of always-current operational intelligence changes the speed at which problems are identified and resolved.
Intelligent Forecasting Applications — Predictions Grounded in Live Enterprise Data
Mirador's intelligent forecasting applications draw directly on Kainam's MONZA real-time analytics engine and SENNA AI-driven planning capabilities — enabling organisations to build forecasts that update automatically as new data flows in, incorporate external signals, and learn from the accuracy of previous predictions. Unlike static forecast models that require periodic manual rebuilding, these applications continuously improve and continuously reflect the current operating environment.
Decision-Support Systems — Intelligence Embedded Directly Into Workflows
Decision-support applications built through Mirador embed intelligence directly into the operational workflows where decisions are actually made — rather than requiring analysts to extract data, build models offline, and present findings that may already be stale. By placing AI-driven insight at the point of decision, Mirador enables the kind of consistent, data-grounded execution that drives predictable business performance across large, complex organisations.
The Kainam Platform — Four Engines, One Unified Architecture
Mirador is the newest addition to Kainam's unified AI-native platform — and its power derives directly from the architecture beneath it. Unlike standalone application builders that must connect to external data sources, analytics platforms, and AI services via integration layers, Mirador operates natively within a platform where all four engines are already connected and operating in real time.
Structures and prepares enterprise data — transforming raw organisational data into a clean, consistent, query-ready foundation that all other Kainam engines and Mirador applications can operate on without additional data engineering work.
Delivers real-time analytics and multidimensional modelling — powering the analytical layer of every Mirador application with live, continuously updated computation that reflects the current state of the organisation's data.
Drives AI-powered planning, forecasting, and execution workflows — embedding intelligence into the operational layer of the business and enabling automated decision-making across complex, multi-variable planning scenarios.
Allows organisations to build AI-native business applications directly from their data — through a plain-language conversation with KAI — drawing on KIMBALL, MONZA, and SENNA natively to produce fully functional, production-ready applications without code or integration work.
Key Takeaways
Kainam has launched Mirador — a breakthrough AI-powered application builder that enables organisations to transform industry expertise into fully functional, production-ready business applications through a plain-language conversation with KAI, without requiring data engineering, data science teams, or any code.
Mirador eliminates the "integration tax" that makes traditional application development slow and costly — by operating natively within Kainam's unified platform alongside KIMBALL, MONZA, and SENNA, enabling data, analytics, planning, and AI to run in real time without a separate integration layer.
Key use cases include dynamic planning tools, operational control towers, intelligent forecasting applications, and decision-support systems — all built to continuously learn and adapt, connecting strategy with execution in real time and helping organisations increase agility, improve predictability, and drive consistent business performance.
Mirador's launch represents a meaningful step in the evolution of enterprise performance management — from a world of dashboards and static reports that describe what happened, to a world of intelligent applications that actively support what should happen next. The organisations that will gain the most from AI in their operations are not necessarily those with the largest data science teams — they are those that can most effectively translate domain expertise into operational intelligence. Kainam's Mirador is built precisely for that translation — making the knowledge that already exists inside an enterprise into something that runs, scales, and continuously improves at the pace of the business itself.
To explore Mirador and the full Kainam Augmented Performance Management platform, visit kainam.ai.