AI Applied Software Engineering
Software delivery, accelerated by AI, ready for production
Entelect embeds AI across every stage of the SDLC within structured, human-led workflows. Every output is reviewed, validated, and traceable, with engineers ensuring quality of delivery is maintained. The skills, prompt patterns, and agent workflows we develop are documented and shared – building reusable capability across your teams and the agents that support them.
Our Work
Standard Bank: Reduced payments delivery timelines from 12 months to just 3 months with AI
As part of its payments modernisation journey, Standard Bank set out to build a modern, cloud-native payments capability within its everyday banking environment. The initiative required a middleware layer to integrate legacy mainframe systems with customer-facing digital channels.
The team aimed to elevate its engineering practices by adopting innovative, AI-enhanced ways of working aligned to enterprise standards.
Entelect led the implementation of a cloud-native middleware solution, embedding agentic AI across the full Software Delivery process using a spec-driven approach. AI was used to generate and refine structured specifications, architecture artefacts, non-functional requirements, and user stories, which in turn guided automated test and code generation. All AI-generated outputs were validated by engineers prior to release.
Timelines reduced from 12 months to 3: Reduced payments delivery timelines from 12 months to just 3 months through an AI applied engineering, enabling faster rollout of revenue-generating payment features.
Sustainable, compliant platform growth: The structured AI approach actively mitigates compliance, security, and operational risks, while conscious cost optimisation positions the bank for long-term efficiency in its digital payments offering.
What We Do
Our AI Applied Software Engineering Capabilities
AI-Embedded Requirements and Discovery
We use AI to compress the distance between stakeholder intent and a development-ready backlog – generating structured requirements and architecture inputs inside governed workflows where senior engineers validate every output.
Spec-Driven Code Generation
Every line of AI-generated code is grounded in a written specification and reviewed by an experienced engineer. Agentic workflows handle the volume while our engineers own the judgment calls.
AI-Accelerated Testing and Quality Engineering
AI generates test cases from specifications, maintains regression suites, and surfaces edge cases manual testing misses – with every artefact traceable to its spec, its prompt, and its human reviewer.
Governed Deployment and Release Management
AI automates build orchestration, release note generation, and pre-deployment checks inside our CI/CD pipelines. Structured release artefacts give change advisory boards the visibility they need.
Legacy Modernisation and Migration
We apply AI-assisted analysis to undocumented codebases – extracting business rules, generating migration paths, and automating repetitive transformation tasks – with engineer-led validation checkpoints preserving business logic throughout.
Maintenance and Technical Estate Management
We use AI to keep your estate current – automating dependency upgrades, flagging vulnerabilities, generating architectural documentation, and surfacing technical debt.
Reusable Agent Skills and Engineering Playbooks
The workflows, prompt patterns, and agent capabilities we build are documented and shared – creating a library of reusable skills that accelerate future delivery. Engineers and agents draw from the same playbook.
Key Partners
Partners and Alliances
