Why ProjectVIEW AI? Choose DANAOS ProjectVIEW AI when you need AI that works on your own project data, inside your own approval rules. It reads the BoQ, WBS and cost code structure of ProjectVIEW ERP, applies role permissions to every request and asks a person to approve every consequential action. It is built for construction, shipbuilding and repair, marine and offshore, mining and quarrying, and project-based manufacturing. Generic AI tools are useful for writing and searching. Project businesses need something else: answers tied to budgets, commitments, certifications and forecasts, with an audit trail. Below are six reasons project-based companies look at ProjectVIEW AI. Does ProjectVIEW AI understand your project data? Yes, because it works on it directly. ProjectVIEW AI retrieves live ERP context at the moment you ask: budgets, committed cost, actuals, variations, certifications, approvals. A question like “Why is Project Alpha over budget?” is answered from your cost codes and WBS packages, not from general knowledge. AI that knows your business. That is the difference between a language model and a project tool. Not because AI predicts the future like magic, but because it reads the same records your cost controllers read, faster and across every project at once. Can ProjectVIEW AI be governed like the rest of the ERP? Yes. AI should operate inside enterprise governance, not around it. Every request follows one chain: Identity → Role → Permission → Data → AI → Action. ProjectVIEW AI sees only what the user’s role can see. Data is not sent to public consumer AI services; ProjectVIEW AI runs in a private environment. On Microsoft Azure, prompts are not used for model training; data residency options, encryption at rest and customer-managed keys are available. DANAOS Projects holds ISO 27001, ISO 9001, ISO 14001 and ISO 20000-1. See security and governance for the full picture. Why does the BoQ ↔ WBS ↔ Cost Codes structure matter for AI? AI is only as useful as the structure of the data it reads. ProjectVIEW ERP is the integrated ERP built on the BoQ ↔ WBS ↔ Cost Codes framework. Every quantity, rate, commitment and cost is linked to the same three references. That link lets ProjectVIEW AI compare a quotation with the budget rate, a subcontractor claim with certified progress, or a forecast with the original estimate, on the same line. Without it, AI has to guess which records belong together. AI will not fix broken processes. It will amplify them. A clean structure is what makes AI output reliable. Read more in why AI agents fail without ERP. Are you locked into one AI model? No. ProjectVIEW AI is model-flexible, and the model is chosen per use case. Domain-specific small language models handle pattern recognition and numerical analysis, such as anomalies in quotations or fuel use. Leading LLMs handle reasoning, language and multi-step planning, such as explaining an overrun or drafting a briefing. ERP context is retrieved at inference time, so models are not retrained on client data. When better models appear, they can be adopted per use case without rebuilding your data. See ProjectVIEW AI models. Who stays in control of decisions? Your people. ProjectVIEW AI agents are designed to follow a fixed cycle: Detect → Investigate → Explain → Recommend → Request Approval → Execute → Audit. They can work continuously, with human approval for every consequential action. Committing cost, changing a contract value, certifying progress or posting a financial entry stays with the person who holds that authority. The result is speed on detection and explanation, and accountability on decisions. Every step is logged for audit. Does ProjectVIEW AI work with your existing systems? Yes. You can buy ProjectVIEW AI in three ways: Option What you get Typical fit ProjectVIEW ERP only The integrated ERP; implementation time 5 to 7 months Companies replacing spreadsheets or generic ERP ProjectVIEW AI on existing systems Assistant and agents on data from SAP, Oracle, Primavera P6, MS Project, BIM and documents, mapped to BoQ, WBS and cost codes Companies keeping their current ERP ProjectVIEW OS (ERP + AI) System of record and intelligence layer on one data set Companies that want both under one governance model The ProjectVIEW MCP connector also links ProjectVIEW ERP to Claude and ChatGPT, so teams can run headless operations, ask questions of their own data and build their own agents. Pricing depends on the modules, the number of users and the deployment option. AI usage can be metered with DANAOS AI Credits. When is ProjectVIEW AI not the right fit? ProjectVIEW AI is not a shortcut around data discipline. If budgets are not broken down to BoQ, WBS and cost codes, if commitments are recorded only when invoices arrive, or if approvals happen outside any system, AI will reflect those gaps. In that case the first step is the process and the ERP, then the AI. It is also not designed for general office tasks such as writing marketing copy. It is designed for project control: cost, procurement, subcontractors, materials, machinery, cash flow and claims. For the difference between this and standalone tools, see ProjectVIEW AI vs AI point tools. Frequently asked questions How is ProjectVIEW AI different from a generic AI copilot? A generic copilot works on documents and general knowledge. ProjectVIEW AI works on structured ERP data, under ERP role permissions, with human approval for actions. See ProjectVIEW AI vs generic AI copilots. Do we need to replace our ERP to use ProjectVIEW AI? No. ProjectVIEW AI can run on top of existing systems such as SAP, Oracle or Primavera P6, once the data is mapped to BoQ, WBS and cost codes. ProjectVIEW ERP gives it the most complete structure. Is our data used to train public AI models? No. Data is not sent to public consumer AI services, and on Microsoft Azure prompts are not used for model training. Context is retrieved at inference time. Where does ProjectVIEW AI run? On Microsoft Azure as SaaS, or on-premises. Sovereign, client-specific environments in Saudi Arabia are planned on the Azure Saudi Arabia region. Want to see it on your own data? Test the six reasons against your own projects. Book a demo and bring a live question from your portfolio. Book a Demo