Automation strategy for organisations that want test and business automation to deliver real returns. PinnacleQM defines what to automate, which tools to use and how to scale without losing existing investment.
30+years of international
IT experience
Many organisations automate the wrong things first, choose tools that need scarce coding skills, and end up spending more on script maintenance than they save. Regression still takes weeks and the business case quietly falls apart.
PinnacleQM builds automation strategies around business risk and return. We score candidates, select tools, design for reuse from delivery into acceptance and RPA, and plan a controlled rollout with measurable targets. Every recommendation is costed.
Automation is an investment. Our strategies show where it will pay back, how quickly, and what it takes to keep it paying back as systems change.
Automation strategy delivered for a Big 4 bank.
Every candidate is scored on criticality, frequency, stability, reuse and return, so effort goes where it pays.
Business cases use your baseline effort and costs, not vendor claims, so investment decisions hold up.
We assess vendor, open-source and PinnacleQM platforms against your needs rather than defaulting to one tool.
Assets are planned for reuse across regression, acceptance, support and RPA, so each is built once.
No-code and layered designs keep upkeep low, so teams spend time adding coverage instead of repairing scripts.
Pilots and parallel running protect existing automation, with results compared before anything is retired or replaced.
Enterprise and project automation strategies covering testing, delivery pipelines, acceptance and business operations.
We inventory existing scripts, tools, schedules and data dependencies, and baseline coverage, stability and maintenance effort against your critical business processes, so the strategy starts from facts. We also record which scripts are worth keeping, converting or retiring.
Candidates are scored on business criticality, execution frequency, stability, reuse potential and expected return, favouring API, service and data layers before brittle user-interface tests. Quick wins are separated from longer-term candidates so value arrives early.
We evaluate vendor, open-source and PinnacleQM platforms against your technologies, skills, pipeline and budget, and design an automation architecture that integrates with your existing tools. We recommend hosting and licensing options that suit your budget and security needs.
We build a business case from your baseline effort, cycle times and costs, with ROI calculators showing payback period, ongoing savings and the assumptions behind them. Assumptions are documented so finance teams can test and challenge them.
We define how automation fits your CI/CD pipeline, including continuous testing, quality gates and change and release processes, so automation speeds releases instead of sitting beside them. We also define how automation results feed release decisions.
We extend strategy beyond IT to business acceptance automation and RPA, planning how delivery assets are reused so business teams gain capacity as well as IT. Business users gain capacity rather than just being asked to test more.
A strategy is only useful once it is proven. We move from assessment to pilot quickly, with measures agreed up front.
Inventory scripts, tools and processes, and baseline coverage, stability, effort and cost.
Score candidates and agree the scope, targets and success measures against your measured baseline.
Evaluate and select tools, and design the architecture and reuse model. Architecture and reuse decisions are documented for your teams.
Pilot a group of high-value processes and compare results with the current approach.
Deliver the roadmap, business case and rollout waves, with governance and training.
Enginuity as a service and a team of 12 replaced a 125-person offshore regression team across a Big 4 bank's end-to-end lending systems.
Read more
When a core banking platform was upgraded, Enginuity's machine learning updated the automation in 2 hours and every script ran without test pack changes.
Read more
A resources company runs SAP and SuccessFactors regression every month with no testers at the keyboard and $0 additional cost.
Read more
7 min read
A practical way to decide which regression tests to automate, which to keep manual, and how to measure the return.
7 min read
Many unreliable automated tests fail because of test data and environments, not scripts. How to diagnose and fix the real cause.
7 min read
Tools do not make releases faster by themselves. The practices, ownership and feedback loops that actually change cadence.
Tell us about your current automation, tools and release cadence. We will show where automation will pay back fastest and what a credible business case would look like.
List your key applications, current tools and main automation frustrations.
