AI Change & Enablement
Move from AI experimentation to AI-first delivery
Entelect embeds AI capability directly into your engineering teams through live delivery, building the skills, practices and tools your teams need to sustain and scale it. We guide organisations through a structured maturity journey: from Experimental, where teams explore AI in low-risk contexts, to Augmented, where AI accelerates individual SDLC stages, to Orchestrated, where AI is coordinated across the full lifecycle, to AI-Applied, where AI is the default mode of delivery and humans direct autonomous agent workflows.
Our Work
Bawag: Embedding AI across banking teams
As part of its digital banking evolution, BAWAG Group sought to onboard and scale multiple banking brands across a shared digital platform.
The organisation needed to accelerate delivery across multiple banking entities from a single code base, while maintaining consistency, quality and governance within a complex, shared technology landscape.
Entelect partnered with BAWAG to embed AI across the Software Development Lifecycle. Developers adopted AI-assisted workflows for code generation, testing, debugging and documentation, while Business Analysts and QA teams leveraged AI to automate requirements creation, test case generation and delivery planning. AI was integrated into structured, human-led workflows, ensuring all outputs were reviewed and validated before implementation.
Accelerated onboarding of new banking entities: AI-enabled delivery practices reduced manual effort and enabled teams to scale new banking brands onto the shared platform more efficiently.
Improved quality and consistency across teams: Structured AI workflows strengthened documentation quality, increased test coverage and promoted greater consistency across development, analysis and QA functions.
Embedded AI adoption at enterprise scale: By integrating AI across the SDLC, BAWAG established a repeatable, governed approach to AI-enabled software delivery that improved collaboration and accelerated digital banking innovation.
What We Do
Our AI Change & Enablement Capabilities
AI Readiness Assessment
We assess your engineering practices, tooling, governance posture, and team capability – and give you a prioritised path to AI adoption grounded in what works in mission-critical delivery environments.
AI-First Ways of Working
We help your teams shift from ad hoc AI experimentation to structured, repeatable workflows – documentation-first development, spec-driven code generation, prompt templates, and review practices that make AI output accountable.
Engineering Team Uplift
We work alongside your engineers in live workstreams, building AI fluency through real SDLC work. By the time we leave, your people are stronger and independently capable.
AI Tool Selection and Onboarding
We help your teams evaluate, select, and onboard AI tooling appropriate to your security posture and regulatory context – drawing on live delivery experience across tools such as Claude Code, GitHub Copilot, Kiro, and the MCP ecosystem.
Leadership and Stakeholder Enablement
We work with engineering leads, CIOs, and risk functions to build the shared understanding that makes AI adoption sustainable – translating technical practice into language that boards and regulators can hold.
AI Centre of Excellence
For organisations ready to scale, we establish the internal structures that make AI capability repeatable: communities of practice, delivery standards, tooling governance, and enablement programmes – designed around your teams and embedded into how they work.
Key Partners
Partners and Alliances
