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Suite Overview

An AI decision layer on top of the systems you already own

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.

microLM Intelligence Suite overview

Suite Modules

Start with one function or deploy the full suite

microLM Ledger

The AI finance cockpit for cash visibility, working capital, margin, and budget-versus-actual intelligence.

microLM Flow

The AI operations brain for throughput, bottlenecks, delivery performance, inventory, and project health.

microLM Pipeline

The AI sales engine for pipeline visibility, forecast accuracy, stalled deals, rep performance, and win-loss patterns.

microLM Reach

The AI marketing command center for funnel analytics, campaign ROI, audience performance, and handoff health.

microLM Care

The AI customer service console for SLA visibility, queue bottlenecks, customer health, and knowledge deflection.

microLM Horizon

The AI executive cockpit for company-wide performance, risk monitoring, key-account context, and execution focus.

microLM Forge

The tailored AI insight hub for custom cockpits, specialized 360 views, execution boards, and regulatory dashboards.

microPilot

The embedded copilot across the suite for natural-language questions, explanations, issues, and recommended actions.

Shared Foundation

One data layer, one copilot, many business functions

01

Connect Existing Systems

Pull data from ERP, CRM, finance, HR, operations, and service platforms into a private cloud environment.

02

Normalize Intelligence

Organize data into a medallion-style architecture so metrics, entities, and access controls are reliable.

03

Activate Modules

Launch the finance, operations, sales, marketing, service, leadership, or custom modules you need first.

04

Guide Decisions with microPilot

Let teams ask questions, understand what changed, and act on evidence-backed recommendations inside every module.

microLM ecosystem illustration

Platform Fit

microLM Intelligence Suite for your existing platforms

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.

SEO FAQs

microLM Intelligence Suite questions

Answers for teams evaluating the suite structure, module rollout approach, and shared data and copilot model.

The microLM Intelligence Suite is a modular set of AI decision tools built on one shared data and intelligence layer. It includes Ledger, Flow, Pipeline, Reach, Care, Horizon, Forge, and microPilot across the suite.

No. Organisations can start with a single function such as finance, operations, sales, marketing, service, leadership, or a custom use case, then expand over time on the same shared foundation.

The suite covers finance through Ledger, operations through Flow, sales through Pipeline, marketing through Reach, customer service through Care, leadership through Horizon, and tailored use cases through Forge.

microPilot works across the shared intelligence layer and within each suite module. It lets users ask natural-language questions, understand what changed, surface issues, and receive recommended next actions.

The suite is designed to sit on top of systems such as Microsoft Dynamics, SAP, Workday, NetSuite, Salesforce, and other enterprise platforms rather than replace them.

A shared intelligence layer means the suite can use common entities, KPIs, access rules, and business context across modules. That makes cross-functional insight stronger and reduces fragmentation between tools.

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