Private language models and enterprise copilots built on your own data.
microLM helps organisations turn siloed systems, documents, workflows, and historical knowledge into secure AI decision engines. Instead of relying only on generic public models, we build focused, domain-specific intelligence layers that help teams ask better questions, detect risks earlier, and act with confidence.
The microLM Intelligence Suite is built to sit on top of industry-standard platforms, not replace them. It connects to systems like Microsoft Dynamics, SAP, Workday, NetSuite, Salesforce, and others, then organizes data into a shared intelligence layer your teams can actually use.
Each module focuses on a business function, but everything runs on the same data and intelligence foundation with microPilot as the embedded copilot across the suite.
The AI finance cockpit for cash visibility, working capital, margin, and budget-versus-actual intelligence.
The AI operations brain for throughput, bottlenecks, delivery performance, inventory, and project health.
The AI sales engine for pipeline visibility, forecast accuracy, stalled deals, rep performance, and win-loss patterns.
The AI marketing command center for funnel analytics, campaign ROI, audience performance, and handoff health.
The AI customer service console for SLA visibility, queue bottlenecks, customer health, and knowledge deflection.
The AI executive cockpit for company-wide performance, risk monitoring, key-account context, and execution focus.
The tailored AI insight hub for custom cockpits, specialized 360 views, execution boards, and regulatory dashboards.
The embedded copilot across the suite for natural-language questions, explanations, issues, and recommended actions.
Pull data from ERP, CRM, finance, HR, operations, and service platforms into a private cloud environment.
Organize data into a medallion-style architecture so metrics, entities, and access controls are reliable.
Launch the finance, operations, sales, marketing, service, leadership, or custom modules you need first.
Let teams ask questions, understand what changed, and act on evidence-backed recommendations inside every module.
An AI decision layer on top of the system you already own, so you get far more value for a fraction of the cost.
Microsoft Dynamics: Unlock far more value from Dynamics with an AI decision layer that costs a fraction of your core system.
SAP: Turn SAP into an AI decision engine without touching your core or your budget.
Workday: Let Workday tell you what to do next. Add an AI decision layer for a fraction of your Workday spend.
NetSuite: Make NetSuite think. microLM adds an AI brain on top of the data you already have.
Salesforce: Give Salesforce a decision brain. Turn CRM data into clear next steps for every role.
No modern platform? Working with legacy or home-grown systems? microLM can build your AI decision layer on the data you have today, help you move toward industry-standard systems over time, or run the microLM Intelligence Suite independently if you choose not to adopt a modern platform.
Answers for organisations evaluating private AI decision systems, shared intelligence layers, and enterprise copilots.
microLM builds private AI decision systems, function-specific intelligence layers, and enterprise copilots that sit on top of your existing systems, data, documents, workflows, and historical knowledge.
Generic public tools can generate helpful text, but they usually do not understand your internal entities, KPIs, workflows, controls, or business history. microLM is designed around your own business context so the answers and recommendations are more relevant and more actionable.
No. microLM is designed to sit on top of systems you already own such as ERP, CRM, finance, operations, and service platforms. The goal is to create an AI decision layer, not replace your core systems.
microLM can work across operational systems, finance platforms, CRM data, service tools, documents, reports, workflow history, and other structured or semi-structured business sources that are important to decision-making.
Most organisations should start with one business function, one high-value decision workflow, or one module where faster visibility and better action would create clear impact. From there, the intelligence layer can expand across more teams.
