Four products, one thesis. A vertical ISV that ships D365 into heavy equipment in eight weeks. A methodology that reduces implementation time and effort by 30–40%. The AI operating system Ludia runs on, and the customer version of it. Microsoft underneath, agentic operating system on top.
A vertical D365 Finance & Supply Chain extension for heavy equipment, infrastructure-build, and dealer networks. Eight weeks to a customer-ready model. Every dealer, every territory, every line of equipment, one consistent data spine.
The problem. Heavy equipment dealers and infrastructure-build operators run unique data: equipment hierarchies, parts aging, warranty programs, service codes, dealer territories. Horizontal ERP wasn't designed for any of it. The first six months of any D365 F&SC implementation in these industries is spent translating "how the business works" into entity relationships the platform can hold.
What FarShip is. The translation, productized. A configured D365 F&SC extension with the entities, relationships, workflows, and reports that heavy equipment and infra-build operators need on day one. Snap it on top of a clean D365 environment and you've skipped the first six months.
How it ships. Eight-week deployment, one Ludia senior architect embedded with the customer team. Configured, not customized. Upgrades to every new D365 release without re-implementation.
The operationalized form of the velocity-compression argument. Every workstream of a Microsoft Dynamics 365 engagement, re-engineered with AI as the lever. A measurable 30–40% reduction in time and effort.
Why it exists. The longest line on any ERP Gantt is "discovery." Six months of senior business leaders explaining how their business runs to a delivery team that's never operated it. AI compresses this asymmetry. We arrive at the first workshop already knowing how the work flows, and we spend the meeting on the decisions instead of the explanation.
How it's used. The methodology is the default scaffold for every new Ludia engagement. AI-assisted discovery on intake. AI handles the first-draft configuration, generates the test coverage, and narrates the training materials. Human senior architects own the decisions; the AI removes the tax of getting to them.
What it changes. The economics. An engagement that costs 30–40% less in time and effort prices differently than the old version. The senior team stays embedded the whole way. The customer ships faster, with less burden on their team to support the project.
Ludia's own AI operating system. The way we run the firm: mapped, instrumented, and operated on top of an AI layer that knows how every workstream flows.
Why it exists. Most consulting firms run on whiteboards, spreadsheets, and tribal knowledge. The senior architects know how things work; the system doesn't. When a firm like that grows, the system breaks before the people do. We weren't willing to let that happen at Ludia.
What it is. A full model of how Ludia operates: every workstream of every engagement type, every methodology decision, every customer pattern, every delivery move that's worked or hasn't. We have mapped the entire business and built it ready for agility. The system knows what our senior architects know. New people get senior context on day one.
How it changes us. Decisions that used to take a meeting now take a Slack message. The methodology isn't a document anymore. It's a working system that produces work. The AI Implementation Methodology runs on Helios 1. So does every active engagement. So does the firm's pipeline, capacity planning, and quality discipline.
The customer version of Helios 1. The same operating system, configured for your business: your industry, your data, your patterns. The way Ludia runs itself, productized for the way you run your business.
The thesis. Customers don't want another copilot bolted on. They want their business to operate the way a senior team operates: fast, instrumented, agile, with the AI doing the unglamorous coordination work. Helios 2 gives them the operating layer we use ourselves.
What it is. A Ludia-built AI operating system, configured for the customer during the engagement. Maps the customer's workstreams the same way Ludia's are mapped. Operates on the same AI patterns. The deliverable isn't a documentation set. It's a running platform that the customer's team uses on day one.
Where it fits. Helios 2 ships with the AI Implementation Methodology. The implementation produces the platform. Post go-live, the customer's senior team operates Helios 2 the way Ludia's senior team operates Helios 1. Same model, different business shape.
Each accelerator is a configured D365 base for a specific industry: data model, workflows, reports, role-based dashboards. Bought, not built. Snaps under FarShip or Helios 2.
Dealer networks, equipment hierarchies, parts aging, warranty programs, territory management. Built for CAT-class operators and adjacent industries.
Project codes, labor categorization, change order discipline, subcontractor management. Built for EPCs, infra-build, and construction-trades operators.
Asset lifecycle, regulatory recordkeeping, field service routing, JV accounting patterns. Built for upstream / midstream operators and energy services firms.
Project-based revenue, billable utilization, multi-skill resourcing, complex billing schedules. Built for industrial professional-services firms.
Procurement, grant accounting, regulatory workflows, citizen-facing service. Coming with input from existing public-sector engagements.
Demand planning, multi-channel order management, lot & expiry, retail-execution discipline. Coming as the consumer-goods adjacency matures.
