Simplify the business.
Run it on one model.
A CIO isn't shopping for another ERP, low-code tool, or BI platform. You're trying to cut application sprawl, integration complexity, governance risk and maintenance cost. dForge is a model-driven enterprise automation layer: transactional apps, workflow, reporting, security and audit all generated from one governed data model — instead of five products to integrate, secure and maintain.
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What we'll cover.
- 01What sprawl actually costs to govern
- 02One model, every layer
- 03Governance as a property, not an add-on
- 04The consolidation math
- 05Where to start
Running the business shouldn't mean running a dozen systems.
- You run 10–100 internal apps and a small team has to keep all of them alive.
- Every new app is another security model, another integration, another audit surface.
- "Can we standardize how the company builds software?" matters more than any single UI.
- You're measured on consolidation, governance, and operational control — not feature count.
One governed model under the whole business.
Apps, workflow, reporting, security and audit are generated from a single data model — so consolidation is the default, not a project.
One model, every layer
Describe your domain once — entities, rules, roles, actions. Transactional apps, workflow, reporting and a real API are generated from that single model, instead of five products you stitch together.
Governance by default
RBAC, full audit, database-per-tenant isolation and data residency aren't add-ons you integrate — they're properties of the model every app inherits automatically.
An enterprise OS, not another silo
Each new need becomes a module on the same governed model — sharing identity, data and audit — instead of another product to procure, secure and integrate.
What that looks like in practice.
- One data model drives apps, workflow, reporting and API.
- Change the model and every layer follows — no glue to rewrite.
- Draft it with AI, then govern it like code.
- One access model and one audit log across the whole platform.
- Database-per-tenant isolation — the boundary is the database itself.
- Self-host where data residency requires it.
- Standard modules — CRM, HR, Finance, Warehouse — on one model.
- Department-specific needs become a module, not a new vendor.
- Every module added retires a product to integrate and secure.
Five products to integrate, or one model to govern.
Count what one model retires.
The number that survives a board conversation isn't the feature list — it's systems, integrations and audit surfaces removed.
Every module added retires a system that would otherwise have to be procured, secured, integrated and audited — the saving compounds, the governance surface doesn't.
Modules worth installing first.
Sales CRM
Sales CRM: contacts, leads, opportunities, quotes, activities, and product catalog. Customer identity lives in the shared parties module; CRM-specific columns (industry, credit limit, account manager) are layered on as an extension.
Finance
Accounts receivable, accounts payable, invoicing, and payments
The questions people actually ask.
Scroll down for the answers — or jump straight to one.
Do we have to move everything at once?
No. Consolidation happens module by module, each one retiring a system you currently procure, secure, integrate and audit separately. That's what makes it defensible: every step removes something rather than adding one more platform alongside the rest.
What if no module exists for something we need?
You build it on the same model, or commission it. Either way it inherits the same access model, audit trail and deployment pipeline as everything else — so a department-specific need stops meaning a department-specific system with its own governance surface.
How is this different from the low-code platform we already evaluated?
Those are workflow-centric; this is data-model-centric. You describe the business once — entities, rules, roles — and the apps, reporting, API and security are generated from that one definition. The question isn't whether you can build any interface, it's whether you can still govern the result in five years.
What happens to our existing integrations?
The ones that exist only to connect systems a module replaces disappear along with those systems. The rest connect to one API against one model instead of point-to-point against many. Integration count falling is the measurable part of consolidation.
Can we run it inside our own environment?
Yes — fully self-hosted, including air-gapped, on your own upgrade schedule. Your data sits in a standard PostgreSQL database and your documents in an ordinary file store, both legible without the platform in the picture.
Start from the inventory you already need.
The first step produces something useful even if you go no further.
Application inventory
Count the systems, integrations and audit surfaces in scope. This is the baseline every later number is measured against — and most organisations don't have it written down.
Pick the consolidation wedge
The three to five systems one model can retire first. Choose on governance pain, not licence cost — the audit surface is the harder problem.
One model, department by department
Each module added retires a product to procure, secure and integrate. Consolidation stops being a project and becomes the default.