Enterprise Project Intelligence · Part of the Krion AI Suite
EPIC extends Krion6i from project intelligence into the enterprise layer — connecting schedules, resources, cost, procurement, field progress and data lakes into one unified AI intelligence experience.
Four layers connect source systems, an integration backbone, domain applications and AI-driven executive intelligence into one construction-focused stack.
EPIC insights are projected onto BIM and construction processes for real-time 4D / 5D project intelligence — keeping enterprise data connected to how the project is actually executed.
Enterprise systems and site data are brought together on a shared backbone with common identifiers.
The AI layer reads across domains — plan, cost, materials and model — instead of one system at a time.
Insight is pushed back onto the model and construction process as live 4D / 5D intelligence.
Ask in plain language. EPIC reads the connected enterprise record and answers with evidence from the source systems.
Where is the programme slipping, what is driving it, and which packages need intervention this week rather than next month.
How committed cost compares with certified progress, where budget exposure is building, and which BOQ items are moving away from plan.
Which deliveries sit on the critical path, which vendors are trending late, and what the schedule impact of a slipped order looks like.
What was executed against plan, how resources are deployed, and where field progress diverges from the model and programme.
How projects compare on a consistent basis, where the portfolio risk is concentrated, and what the trend says about the next quarter.
Which record supports a number, who approved what and when, and how a reported figure traces back to its source system.
EPIC is the enterprise layer of the Krion AI Suite. It connects schedules, resources, costing and BOQ, procurement, field progress and AI-assisted data lakes into the same intelligence fabric that Krion6i already uses for BIM models and construction processes — then makes the whole picture answerable in plain language. One question, one answer, drawn across model, schedule, cost, materials, people and operations.
Six enterprise domains, brought into one reasoning environment alongside the model and the construction process.
Baseline and current programmes, WBS structures, milestones and float — read into the intelligence layer so plan status can be compared against model progress and committed cost rather than reviewed in isolation.
Material requirements, stock positions, plant and manpower deployment — connected to the work packages they belong to, so resource pressure is visible in project terms, not just as a store ledger.
BOQ line items, budgets, commitments and certified value brought into the same reasoning environment as quantities and progress, so commercial questions can be asked against the live project record.
Requisitions, purchase orders, vendor status and delivery schedules linked to the packages and activities that depend on them — procurement seen as a delivery risk, not a back-office record.
Daily progress reports, quantities executed and site status linked back to plan, model and enterprise data — so what happened on site is immediately readable against what was planned.
A shared enterprise data foundation with common identifiers and standards, giving every domain a consistent structure for cross-domain intelligence instead of point-to-point integrations.
Ask one question — get answers across model, schedule, cost, materials, people and operations.
EPIC reads from enterprise systems of record rather than replacing them — the backbone does the reconciliation.
What changes when enterprise project data becomes usable by AI.
Connected planning and pre-award intelligence from a shared data backbone — schedules, quantities and cost assessed together, so the plan reflects what the enterprise can actually resource and procure.
Field status and live progress visibility with enterprise context, so delivery teams and the back office work from the same picture instead of reconciling two versions of it.
AI dashboards, predictive analytics and conversational query across connected data — questions answered in minutes, with the underlying records available for scrutiny.
Common identifiers and a shared backbone mean every project reports on the same basis, making portfolio comparison and audit straightforward rather than a reconstruction exercise.
Where project truth originates
How the data is made comparable
Purpose-built construction intelligence
Where data becomes a decision
EPIC is designed for organisations running several complex projects at once, where enterprise data volume is the constraint.
Multi-discipline delivery where procurement, subcontract packages and schedule interact daily, and where commercial exposure builds long before it appears in a monthly report.
Metro, airport, highway and energy programmes with multi-stakeholder governance, long horizons and reporting obligations that span several contractors.
Concurrent residential and commercial projects needing portfolio-wide cost, progress and procurement visibility from one connected source.
Public works authorities requiring transparent traceability from reported figures back to the source system, across programmes and reporting cycles.
Fully managed and scalable, with connectors to your enterprise systems configured during onboarding — suited to teams that want the intelligence layer without infrastructure work.
Deployed inside your own datacenter for full data sovereignty, where ERP and commercial data cannot leave the organisation's boundary.
Cloud construction data connected with on-premise enterprise systems — the common pattern where ACC sits in the cloud and the ERP does not.
Everything you need to know about EPIC — from scope to deployment.
Krion6i applies AI over the project record — BIM models, drawings, documents and construction workflows. EPIC extends that same intelligence layer into the enterprise: schedules, cost and BOQ, materials and resources, procurement, field progress and enterprise data lakes. They share one reasoning environment, so an enterprise question can be answered with model and process context, and a project question can be answered with commercial context.
No. Those systems remain the systems of record. EPIC connects to them through APIs and connectors, brings the data onto a shared backbone with common identifiers, and reasons across it. Teams continue working in the tools they already use.
The integration and data backbone layer establishes common IDs and standards, mapping WBS activities, BOQ items, purchase orders and model elements to a shared structure. That mapping is what makes cross-domain questions answerable rather than approximate.
It means enterprise insight is projected back onto the model and the construction process — schedule as the fourth dimension and cost as the fifth — so progress, commitment and value can be seen against the physical work rather than only in a table.
Yes. Responses are grounded in the connected records, and the underlying source entries remain available for scrutiny — which is what makes the output usable for governance and audit rather than only for briefing.
It depends on how many source systems are in scope and how consistent their coding is. Most organisations begin with one or two domains — typically schedule and cost — prove the connected view on a live project, then extend to procurement, materials and field progress.
EPIC connects enterprise information with the Krion6i intelligence layer for construction — one brain across model, schedule, cost, materials, people and operations.