Agentic AI Workbench
Accelerate total quality with Agentic AI across your SDLC
As software delivery accelerates, maintaining quality, control and governance throughout the development process becomes increasingly complex. Resillion applies agentic AI capabilities across requirements, design, build, test and release activities, providing assurance of quality at the speed of development, so you can ship your code, and your product, fast.
Trusted by leading organisations
Helping organisations improve quality, resilience and delivery confidence across complex digital estates.
Move from AI assistance to controlled agentic AI delivery
Resillion helps you scale and accelerate software engineering without sacrificing control. Simple AI agents allow testers to test faster, but Agentic AI takes this to a new level, producing AI-driven end-to-end quality orchestration across your SDLC while providing complete transparency for human governance at every stage.
Our approach to building and deploying Agentic AI is open, model-agnostic and ALM tool-agnostic, helping integrate AI agents into existing delivery ecosystems while retaining the right controls, approvals and oversight. The Agentic AI is calibrated to your risk profile, operating model and business objectives, so it makes the right decisions for your organisation, project and business goals.
How agentic workflows accelerate quality engineering
Agentic workflows coordinate and direct AI-driven quality engineering activities across the delivery lifecycle, helping accelerate delivery while maintaining governance, traceability and evidence capture. The Resillion Agentic AI Workbench allows us to rapidly create, configure, deploy and monitor these workflows, to improve test results consistency, reduce manual and automation testing effort and support confident release decisions.
Agentic AI can manage hundreds of AI agents, all configured to deliver specific organisational goals. Some examples include:
Requirement management lifecycle
Better-defined requirements for better development outcomes and early test readiness.
AI-enabled testing lifecycle
Faster test design, self-healing tests, autonomous automated execution and instant detailed reporting.
Complete release confidence
Quantified risk and quality assessment across the whole release for better informed decision making at speed.
BENEFITS
How Resillion gives you governed autonomy across software delivery
At Resillion, our approach to delivering better quality outcomes through governed agentic delivery offers advantages such as:
Faster delivery across your SDLC
Stronger oversight of AI-enabled activity
Clearer evidence for release decisions
Lower risk from tool and model lock-in
Greater control over AI autonomy
Earlier AI-enabled quality checks
WHY US?
How we turn capabilities into results
Here’s how Resillion’s governed agentic delivery approach helps turn AI-enabled capabilities into measurable business outcomes:
Agent creation
What this does for you
We configure specialist agents around defined delivery tasks
Result
Faster SDLC execution
Workflow orchestration
What this does for you
We coordinate AI-enabled workflows across requirements, testing and release stages
Result
Less manual handover
Human oversight
What this does for you
You retain control over where autonomy starts, stops and requires approval
Result
Governed AI adoption
Toolchain integration
What this does for you
We integrate agentic workflows with your existing ALM tools
Result
Lower change disruption
Agent monitoring
What this does for you
We track activity, outputs and exceptions across delivery workflows
Result
Stronger operational visibility
Evidence logging
What this does for you
Decisions, actions and outputs remain traceable
Result
Clearer release evidence
Model flexibility
What this does for you
Your delivery approach avoids dependency on a single AI model
Result
Lower lock-in risk
WHY NOW?
Still hesitating? See what’s at stake
If you’re not ready to scale agentic delivery with the right governance, orchestration and oversight, here’s what you could be up against:
Fragmented AI experiments that never scale across delivery
Unchecked agent behaviour that increases governance exposure
Manual coordination that slows complex release cycles
Siloed tools that keep delivery evidence disconnected
Limited visibility when autonomous workflows fail
Reactive quality controls that surface issues too late
Our experts
Robby Putzeys
Head of Quality Engineering
Robby Putzeys is a seasoned leader with over 25 years of experience in software quality engineering, helping organizations deliver high-quality IT systems, digital products, and complex technology landscapes across industries such as telecommunications and consumer electronics.
Conor Thomson
Expert in Quality Engineering and AI Practices
Conor is a Global Solution Architect with 12 years’ experience in Quality Engineering, QA, test automation, software delivery, AI engineering, and digital transformation.
