Development Business through Logics
We create intelligent scalable systems that create efficiencies and growth, really important aspects of running strong business development strategies.
The Increasing Importance of Logic based Development in the Enterprise
With the world becoming predominantly digital, effective business development strategies are either data driven business development, or logic driven development. It gives business requirements as reusable modular business logic, that can return value in analytics, automation and innovation.
The Issues with Traditional Development
Many organizations in finance, healthcare, retail, and logistics have issues with siloed code in ad-hoc business logic, disparate practices, siloed practices, and an exorbitant amount of maintenance costs that hinder their ability to expand their business and develop strategic business opportunities.
Statswork’s Logic-led Development Services
We deliver modular logic based design, rule-based engines, API orchestrations, and legacy modernization that will help B2B organizations to speed up their time-to-deployment, automate their workflows, and keep them consistent and scalable.
The Benefits Faster time-to-market, reduced technical debt, consistent tech stacks, and robust platform for future-based strategic development.
What We Do – Core Logic-Based Development Services
Logic-based development services allow organizations to define application behaviour, optimize workflows, and use scalable logic modules to build a scalable rules engine architecture
Normalization
Logic Schema Definition
We define and align logic schemata, logic hierarchy of components, and service schemata in your systems to provide commonality in application behaviour for ease of reuse and maintainable architecture.
Normalization
Rule Normalization
We are normalizing business logic rules across various teams, platforms, and geographies, ensuring all teams interpret business rules with common logic while reducing ambiguity and delicacy when developing processes.
Cross-System Logic Normalization
We map business rules and services across systems correctly and cohesively – supporting integrations with APIs, low-code orchestration, or enterprise workflows while reducing the opportunities for conflicted or redundant logic.
Logic Glossary Development
We define and document standard development terminology, reusable logic components, and function descriptions which allow developers, analysts, and business team members to collaboratively work faster.
Compliance-Ready Logic Modelling
We provide models for logic components for you to align with your industry’s official compliance standard or framework (e.g., ISO/IEC, OWASP, SOC 2)—which provides community-namespace, audit-ready and maintained development environments in regulated domains.
Industries
Data collection allows sectors to train computer vision models, improve automation, improve diagnostics, ensure safety, and spur innovation via AI applications.
Statswork specializes in high-quality tailored social media and online data collection services for artificial intelligence (AI), machine learning (ML), and data-based decision making, and we are the trusted partner for our customers for many reasons:
- Step 1 : Define Requirements Identify business rules, logic requirements, and what the system needs to do across systems.
- Step 2 : Define Logic Objectives & Scope Identify the objectives of development and map the method of logic for standards (e.g., BPMN, DMN, ISO).
- Step 3 : Automate Logic Leverage AI tools to automate a portion of the logic based on the rules and patterns.
- Step 4 : Standard Logic Align the logic with your internal frameworks and optional reusable templates.
- Step 5 : Human-in-the-loop Have the experts verify correctness and compliance of the logic, and if it functions.
- Step 6 : Deliver/Integrate For delivery or integrate the logic components directly into their systems by API or workflow
Logic development is the concept of developing systems on structured rules-based frameworks in contrast to traditional hardcoded logic. This allows for better automation of decisions, much easier updates, easier collaborations, and ultimately more scalable workflows. Organizations benefit from the reduction of manual processes, greater accuracy of advancements, and better responsiveness to changes in policies, regulations or operations.
Logic-based development is best suited for organization in sectors such as healthcare, performance, education, retail, logistics, as well as research. Organizations may find efficiencies or reduce operational errors from structured decisions, compliance decisions, conditional workflows, or legacy system modernization through a like-minded repeated, modular logic-based system.
We use a hybrid process between AI tools with human-in-the-loop submission validation. Once we've built the automated logic model, our domain experts review and validate the output as to its accuracy, relevancy, and compliance decisions. The 'hybrid' method gives an acceptable outcome by retaining a professional quality, especially in complex, regulated, and sensitive environments such as healthcare, bank, or parts of academic research.
Yes, our solutions will be platform agnostic. Our logic modules are built to be integrated into an ERP system, cloud platforms, APIs and database. No matter whether your environment is legacy or modern, we will accommodate a smooth integration with as little affect to your existing operations or data infrastructure as possible.
We use modular, scalable design for logic so that it can be modified without having to alter the system as a whole. If a business rule or regulation changes, we can implement a logic block change with respect to block. We do not have to recreate other logic blocks or expend effort on rework, we could adapt rapidly, and we help continuous improvement in the minimal amount of time.
We use a combination of business rule engines, decision Modeling tools (e.g., BPMN/DMN), custom scripting (Python, JavaScript), and AI models for auto-session logic pattern detection. We use Drools, Camunda, and cloud APIs for strong, flexible and scalable logic implementation.
Security ranks as first priority. All data and development environments are treated with utmost confidentiality, encrypted data transfer, NDA coverage, and limited access. Logic models are vetted for security vulnerabilities and compliance risks to allow safe integration into your systems and workflows.
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