SERVICE 03 · SOFTWARE & DIGITAL·Software & Digital

Enterprise Software That Fits How Your Organization Operates

Kramora designs and builds business applications for organizations whose processes, data and integrations do not fit off-the-shelf tools. That covers new SaaS products, internal platforms, API layers and the gradual modernization of systems that still run critical work. Architecture decisions are documented, code is tested and reviewed, and each release is shaped so your own team can understand, operate and extend it.

CORE CAPABILITIES

What We Deliver

01

SaaS platforms

Multi-tenant products with account management, roles, billing hooks, admin tooling and the operational foundations a growing customer base needs.

Examples:
  • Tenant isolation and role-based access
  • Subscription and usage metering integration
  • Customer admin and audit consoles
02

Custom software

Applications built around workflows that packaged software handles poorly, from case management to scheduling and approvals.

Examples:
  • Internal operations portals
  • Case and work-order management systems
  • Approval and exception workflows
03

APIs

Well-documented REST and event APIs that expose business capabilities to web, mobile, partner and AI consumers.

Examples:
  • Versioned public and partner APIs
  • Backend-for-frontend layers
  • Gateways with authentication and rate limits
04

Microservices

Service boundaries drawn around business domains where independent scaling and release pay off, and a well-structured modular monolith where they do not.

Examples:
  • Domain-driven service decomposition
  • Event-driven communication with Kafka
  • Containerized services on Kubernetes
05

Integrations

Reliable connections between new software and the ERPs, CRMs, identity providers and data stores already in place.

Examples:
  • Single sign-on with existing identity providers
  • ERP and CRM synchronization
  • Retry, idempotency and dead-letter handling
06

Legacy modernization

Incremental replacement of aging applications using strangler patterns, parallel runs and careful data migration, so operations keep running throughout.

Examples:
  • Staged monolith decomposition
  • Database migration with reconciliation
  • Re-platforming to managed cloud services
OPERATIONAL REALITY

Business Problems & Meaningful Outcomes

What we hear: “Our core application is so fragile that every release needs a weekend and a lot of nerve.”
What changes: Automated tests, CI/CD pipelines and smaller releases turn deployment into a routine event the team can repeat with confidence.
What we hear: “Our teams work around our systems with spreadsheets because the software does not match the process.”
What changes: The application models the real workflow, including its exceptions, so work moves through the system instead of around it.
What we hear: “Every new integration becomes a custom project with its own failure modes.”
What changes: A consistent API and integration layer gives each new connection a known pattern for authentication, error handling and monitoring.
What we hear: “We need to modernize a legacy platform without stopping the business that depends on it.”
What changes: Modernization happens in staged increments with parallel running and rollback plans, so each step is reversible.
SYSTEM DESIGN

Solution Architecture

Reference Data Flow
Client applications → API gateway → Domain services → Data & events → Enterprise systems

Illustrative reference architecture for an enterprise application with a shared API layer, domain services and adapters to existing systems.

01 Client applications
Web, mobile, partner and internal tools
02 API gateway
Authentication, routing, rate limiting and versioning
03 Domain services
Business logic grouped by capability with clear ownership
04 Data & events
Transactional databases plus event streams for change propagation
05 Enterprise systems
ERP, CRM, identity and legacy platforms via adapters
Interfaces

API contracts are defined before implementation and versioned so consumers can upgrade on their own schedule. Documentation is generated from the same contracts.

Data Boundaries

Each service owns its data, and sharing happens through APIs or events instead of direct database access. Tenant, role and record-level access rules are designed in from the start.

Integration

Adapters isolate legacy and third-party systems so their quirks stay out of core logic. Retries, idempotency and reconciliation jobs handle the failures every integration eventually meets.

METHODOLOGY

How We Work

01 Discover

Map users, workflows, existing systems and constraints, and agree the scope of a first valuable release.

Outputs:
  • Discovery brief and user journeys
  • System and integration inventory
  • Prioritized backlog with assumptions
02 Architect

Set service boundaries, data models, integration patterns and security controls, and record the reasoning behind each choice.

Outputs:
  • Architecture decision records
  • API contracts and data model
  • Roadmap and sprint plan
03 Build & Validate

Deliver working increments with automated tests, code review and regular stakeholder demos.

Outputs:
  • Working releases with notes
  • Automated test suites
  • Performance and security checks
04 Launch & Evolve

Deploy through CI/CD pipelines, monitor production behavior and transfer knowledge for long-term ownership.

Outputs:
  • Operational runbook
  • Monitoring and alerting
  • Enhancement roadmap
TOOLING & RUNTIMES

Technology Choices

CONDITIONAL
Backend
Java.NETNode.jsPython
Frontend
ReactAngularTypeScriptNext.js
Data
PostgreSQLSQLKafka
Platform
DockerKubernetesTerraformAWSAzure
SCENARIOS

Example Scenarios

ILLUSTRATIVE
Scenario 01

Modernizing a claims administration system

Situation:

A specialty insurer runs claims on an aging monolith that few people fully understand, and every change risks breaking downstream reports.

How Kramora would approach it:

Kramora would map the monolith's modules and dependencies, then wrap it with an API layer so new functionality can be built alongside it. High-change areas such as intake and correspondence would move first, with parallel running and data reconciliation before each cutover.

Illustrative concept — not a client implementation.
Scenario 02

Launching a B2B SaaS product

Situation:

A founder has validated a workflow product with a small group of design partners and needs a multi-tenant platform that can onboard paying customers.

How Kramora would approach it:

Kramora would scope a first release around the workflows design partners use most, with tenant isolation, roles and billing integration in place from the start. The architecture would stay a modular monolith until real usage shows where separate services are justified.

Illustrative concept — not a client implementation.
SERVICE QUESTIONS

Frequently Asked Questions

Both. Discovery looks at code quality, architecture, test coverage and business risk before recommending a rebuild, an extension or a staged modernization. Rebuilding everything at once is rarely the lowest-risk path.

LET’S COLLABORATE

Tell us about your challenge.

Share what you are trying to achieve with enterprise software and the systems involved. We will suggest a practical next step.