Your business logic,
defined once and
enforced everywhere.
Every rule about how your operation runs is defined once and applied across the entire platform: what data exists, who sees it, how it moves, what happens next. When the business changes, the logic changes with it. No engineering required.
Minutes
To add a field, reshape an object, or update a workflow
0
Developers needed after launch
99.9%
Uptime, managed by GraniteStack
Enterprise platforms built with GraniteStack
What Business Objects and the Workflow Engine do
The logic that runs your business, configured — not coded.
Define it once. The platform enforces it everywhere.
GraniteStack’s Business Objects define what data exists in your platform, who can access it, and what rules govern how it moves. Add a field, change an access rule, reshape an object: done through AI-assisted configuration. The model evolves as the business does.
The Workflow Engine sits on top of that model. Approvals, routing, document generation, SLA management: all configured visually. The process runs the same way every time, without anyone chasing it.
A new field means a ticket, a sprint, and a budget line
Process changes require engineering to update the logic
Rules live in code, invisible to the people who set them
Manual chasing fills the gaps where automation should be
Fields, objects, and rules configured by the ops team in minutes
The whole team can see the rules, not just the people who built them
Rules are visible to the whole team — not buried in a codebase only engineers can read
Approvals, handoffs, and escalations run automatically — no one chases anything
Every product change used to cost an engineer and a sprint. Now
the ops team just does it.
Why business logic breaks down
The rules that run your operation
shouldn't live inside someone
else's head. Or their codebase.
Off-the-shelf SaaS
The data model is fixed. The workflows are the vendor’s. Every workaround you build on top of it is technical debt accumulating quietly, with no audit trail for how things actually got done.
No-code and low-code tools
Simple rules and linear workflows are fine. The moment a process requires conditional logic, multi-party approvals, SLA enforcement, or compliance-grade audit trails, the architecture shows its limits. Close enough stops being good enough.
Custom development
The logic gets built once, in code, for the business as it was. Every rule change, every new field, every process update goes back to engineering. The business ends up dependent on developers to operate its own processes.
Everything you need to configure.
The data model and the process engine, working as one. Change either and the other follows.
Agentic AI does the heavy lifting
Describe a change in plain language, and GraniteStack's agentic AI handles the multi-step work: defining objects, setting relationships, updating access rules. It's not a one-shot prompt. It's an AI that carries out the configuration itself, with the team validating before anything goes live.
Access and rules at the data layer
Who sees what, who can change what, and under what conditions: defined at the object level and enforced consistently across every interface, report, API, and notification. No surface-level patching.
Visual workflow configuration
Multi-step processes with conditional logic, multi-party approvals, and SLA enforcement built through a visual editor. When the process changes, the operations team updates it. No ticket, no sprint, no waiting.
Document generation and communications
Workflow events trigger documents, notifications, and communications automatically. The right output, at the right step, to the right person. No manual intervention, no missed handoffs.
Audit trails and compliance as standard
Every data change, every workflow step, every decision is logged. Audit trails are built into the platform architecture, not retrofitted. A complete record of how the business operated, available without a separate tool or bolt-on.
Built to stay fast as data grows
Configuration is only half the story. Query performance, indexing, and storage architecture are what keep a platform fast at 500 records and at 5 million. GraniteStack manages that underlying data architecture as the platform scales, so speed and accessibility don't degrade as usage grows.
Build AI into your product, too
Business Objects give agentic AI something real to act on: defined fields, relationships, and rules, not a chatbot layered over a spreadsheet. Operators use this same structure to embed intelligent workflows, automated decisions, and natural-language interfaces into the product their own customers use.
Configure the process. Watch it run.
Build approval chains, configure routing logic, and set SLA rules. All visually, without code.
One data model. Every surface draws from it.
Business Objects are the foundation the entire platform sits on. Change an object and every interface, workflow, report, and API that references it updates to reflect it. The logic you define here is the same logic enforced in the web portal, the mobile app, the billing engine, and every notification that goes out.
It's one system. Not several tools trying to stay in sync.
What are Business Objects in GraniteStack?
Business Objects are the data structures that define how your platform works: what information exists, who can access it, how it changes, and what rules govern it. Configured through AI-assisted tools, not coded. When the business changes, the data model changes with it.
What is the Workflow Engine and what can it automate?
The Workflow Engine is a visual process builder that automates the operations your team would otherwise be running manually: approvals, routing, document generation, notifications, SLA management, and more. Workflows are configured, not coded. Non-technical operators can build and evolve them without engineering support.
Can non-technical operators configure Business Objects and workflows themselves?
Yes. Both capabilities are designed for non-technical operators, not developers. Adding a field, redefining an access rule, or updating a workflow: all done through the platform's configuration tools. GraniteStack builds the initial platform, but the capability to evolve it sits with the team that runs the business.
How does the AI assistance work in Business Objects?
Describe a business process or a change in plain language, and GraniteStack's agentic AI carries out the configuration: defining objects, setting relationships, and updating workflows across multiple steps. The team reviews and validates before anything goes live. It's not a one-time generation step. It's how you keep evolving the platform as the business changes.
What kinds of workflows can be automated?
Any multi-step business process with defined rules and decision points: approval chains, document generation, SLA monitoring, status routing, notifications and escalations, compliance checks, and more. The Workflow Engine is not limited to a preset category of automation. It is configured around the specific process your operation runs.
Does changing a Business Object break existing workflows?
Changes to Business Objects propagate through the platform consistently. Because the data model and the workflow engine share the same underlying layer, a change in an object updates every workflow, interface, and report that references it. Changes are tested in staging before they reach production, so nothing goes live without validation.
How is this different from building custom enterprise software with a development team?
A development team builds a data model and workflow logic once, in code. Every change, a new field, a new rule, a new process step, requires going back to engineering. On a GraniteStack platform, the data model and workflows are configurable by the operations team. The logic is owned by the people who understand the business, not by the people who wrote the code.
Common questions
What operators ask before they build.
Your operation has rules. Your platform should enforce them.
One configuration layer. Every surface it touches stays consistent: web, mobile, reports, notifications, APIs.