Standard SaaS
You get fast adoption and someone else's operations. You pay in fit — features you don't use, features you need that aren't there, and a roadmap you don't control.
The product
Athentra Solution Factory
A standardised production system for customer-specific business applications. It combines a fixed application standard, automated project and cloud provisioning, reusable engineering assets, AI-assisted development and a managed Microsoft Cloud operating model.
What it is
Not coding capacity — a governed production system
The Solution Factory does not sell developer hours. It produces and operates business applications through a repeatable, governed production system. You buy a business application and a managed operating outcome; we own the production method used to deliver it.
Software that fits the customer business, delivered through a standardised Factory and operated as a managed Microsoft Cloud service.
The strategic gap
Two models, and the one that was missing
SaaS and custom software each solve half the problem. The half they leave behind is the half you pay for.
Traditional custom software
You get the process you actually run. You pay in everything around it — development capacity, technical debt, infrastructure, support, security and key-person risk.
Athentra Solution Factory
You get the fit of custom software and the operating model of SaaS, because the production system is standardised and the application is operated as a managed service.
High functional fit + managed lifecycle + standardised delivery
From idea to managed production
How an application moves through the Factory
The Factory standardises the technical path so every engagement can focus on the customer business problem.
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Opportunity
Understand the process, the pain, the users, the value and the replacement opportunity.
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Solution blueprint
Define screens, data, integrations, security, AI opportunities, acceptance criteria and operating needs.
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Factory setup
Create the standard project, the DevOps foundation, the dedicated Azure subscription and the required cloud resources.
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Assisted build
AI-accelerated engineering under human review and the Solution Factory Standard.
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Quality gates
Review architecture, security, tests, data, AI behaviour, operations and documentation.
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Production
Deploy with monitoring, backup, identity, support and customer onboarding in place.
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Evolution
Run new features and process changes through the same Factory lifecycle after go-live.
The Solution Factory Standard
Every solution follows one approved production standard
Technology variation is controlled centrally. Teams select the capabilities a solution needs; the Factory applies the approved implementation, the quality gates and the operating baseline.
Requirements
Approved process, roles, screens, data, business rules, non-functional needs and acceptance criteria.
UX / UI
Consistent browser experience, responsive forms, navigation, accessibility, validation and error handling.
Architecture
One approved React/TypeScript and C#/.NET architecture on Azure App Service, with portability built in.
Security
Entra ID, least privilege, audit logging, Key Vault, secure configuration and data protection.
Data
Azure SQL when required, with defined ownership, retention, backup, recovery, export and migration.
Integration
Microsoft Graph, Microsoft 365, customer APIs, permissions, retries and integration observability.
Testing
Automated tests, AI-output validation, security checks, regression testing and release gates.
Operations
Azure DevOps, Bicep, monitoring, backup, support, documentation and lifecycle management.
Factory Assets
Reuse is the economic engine
We do not rebuild the technical foundation for every customer. Every project strengthens the production system and improves future delivery speed, quality and supportability. Customer-specific code stays focused on the customer business problem; common technical functions live in reusable Factory Assets.
More applications → more Factory Assets → faster delivery → better support and economics
- Project templates for React/TypeScript frontends and C#/.NET backends
- Bicep modules for subscriptions, resource groups and approved Azure services
- Azure DevOps project and pipeline templates
- Shared libraries for identity, authorisation, audit logging, error handling, configuration and telemetry
- Generic UI components and application shell patterns
- The Athentra AI abstraction and AI integration components
- Testing frameworks, test templates and quality-gate automation
- Monitoring, backup, health-check and operations templates
Customer engagement model
A predictable path from business problem to managed application
Without building an internal software operating team.
01
Application opportunity assessment
Confirm the process, its current cost, the pain points, the data, the users, the Microsoft integration surface, the AI opportunity and the value case.
02
Solution blueprint
Define the target experience, business rules, architecture, permissions, data and acceptance criteria.
03
Factory build and launch
Automated project creation, a dedicated Azure foundation, assisted engineering, testing, onboarding and customer acceptance.
04
Managed run and evolve
Operate the application, monitor health, support users, maintain the platform and deliver continuous improvements.
Start with one application candidate
The assessment is scoped to a single process, so the value case is concrete.