Ready-built capability. Faster business outcomes.
Move from business challenge to working solution sooner with Innovo's reusable IP and ready-built accelerators.
Three accelerators.
Our accelerators provide a head start across debt collections, loan processing and customer service orchestration. We adapt reusable process models and components to your business rules, connect them to your systems and validate the complete workflow before launch.
Debt collections
Make routine follow-up consistent, visible and easier to manage.
Innovo's Debt Collections Accelerator brings reusable arrears notification workflows into a connected process. Identify accounts due for follow-up, gather the relevant information, validate contacts and initiate communications using agreed templates.
Explore →Loan processing
Keep applications moving through connected workflows.
Innovo's Loan Processing Accelerator provides a ready-built starting point for coordinating the application journey. We tailor the workflow to your lending process, connect the required systems and establish clear ownership at each stage, with lending decisions retained by authorised decision-makers.
See the accelerator →Customer service orchestration
Turn incoming requests into completed actions.
Innovo's Customer Service Orchestration Accelerator connects these steps in a controlled workflow. Reusable patterns support request interpretation, account context, authority checks and fulfilment, with human review where a request falls outside the agreed automation rules.
Explore →Reduce development from scratch. Connect work across systems. Keep people in control where judgement matters.
Our AI Testing Framework: the AI test TPI.
AI Testing Framework
Applying AI across the 16 areas of the software testing lifecycle.
The framework is grounded in global research, best-in-class tooling (including generative and agentic AI), and proven client practices. It aligns with a recognised model of 16 core testing areas of TPI Next.
Each area identifies AI opportunities, measurable benefits, and implementation guidance. It's designed for CIOs, engineering leaders, and digital programme owners who are looking to increase productivity, improve quality, and make better use of allocated AI budgets.
Written by Nick Finlayson, published with UiPath (2025).
Talk to us about the framework →- Auto-generate test cases from requirements or acceptance criteria
- Leverage GenAI to expand edge case coverage and user path combinations
- Use ML to analyse test gaps based on defect leakage and code churn
A unique offer: we apply it to your testing estate to show where AI fits across all 16 areas, and where your AI budget pays back first.
iACE Automation Framework.
iACE Automation Framework
Innovo's own reusable framework, giving an Australian bank a distinct, retained and portable automation asset in place of frameworks it did not own.
Read the case study →What it changed
Innovo brought its own reusable automation framework, iACE, which changed the IP position: rather than adding another vendor-specific framework, the transformation moved the bank to a consolidated asset it could actually retain.
Reusable patterns.
Build on components that solve recurring process problems.
Notifications and responses
Coordinate templates, recipient checks, communication workflows and activity recording.
Payment routing
Connect payment records to the appropriate business process through duplicate checks, reference interpretation and exception review. Channel integrations and approval rules are scoped for each implementation.
Human review
Bring the right information into review tasks so authorised teams can resolve exceptions and decide the next action.
Operational visibility
Track process state, understand failed steps and maintain a record that supports investigation and controlled recovery.
Incremental modernisation
Connect established systems and newer platforms through a shared process. Improve individual journeys and transition integrations in stages as your technology environment evolves.
Faster delivery of the next workflow
Reuse established process structures, integration patterns and testing approaches when extending to another journey. This reduces repeated engineering effort and gives teams a more consistent route from design to release.
Process knowledge that stays with the business
Make business rules, responsibilities and exception paths explicit in the process model. This helps new team members understand how work runs and reduces reliance on knowledge held by a small number of people.
Published orchestration results include more than 80% less manual effort across the processes automated and more than 60% greater delivery capacity through reusable engineering methods. These are programme-level outcomes, not separately measured results for each accelerator or guarantees for future implementations.
How we deliver.
Playbooks, agents, and AIMS automation you keep.
Bring us one process. We'll show you it running.
A 45-minute briefing with an engineer, or a 1-week assessment that ends in a costed roadmap.