How to Build a Business Case For a New ATS in 2026

Walking into a CFO’s office asking for a new Applicant Tracking System (ATS) because your current software is clunky is unlikely to unlock budget. A successful business case needs to connect recruitment challenges to outcomes the wider organisation cares about: cost, capacity, speed, candidate conversion and risk.

That matters in a hiring environment where recruitment teams are already under pressure. SHRM’s 2026 Recruiting Executives Benchmarking research found that more than two-thirds of organisations reported difficulties hiring for open positions, while median time-to-fill for nonexecutive roles stands at 39 calendar days.

At the same time, AI is changing both sides of the hiring process. Candidates can use AI-enabled tools to tailor applications and apply at greater scale, while talent acquisition teams are adopting AI to automate routine work and focus more attention on identifying the right people.

The case for a new ATS, therefore, isn’t simply about replacing outdated technology. It’s about demonstrating how better recruitment infrastructure can help the organisation hire more efficiently, make better-informed decisions and scale without simply adding more administrative resource.

Translate recruitment friction into business impact

The strongest ATS business cases start with the problems your organisation already has and quantify them wherever possible.

Start with the cost of hiring slowly. SHRM’s 2026 benchmark puts median time-to-fill for nonexecutive roles at 39 days. Rather than assigning a generic dollar value to every vacant role, calculate the impact using your own data: vacancy volumes, overtime or temporary cover, agency spend, recruiter capacity and, where relevant, lost productivity or revenue.

Recruitment itself also carries a measurable cost. SHRM’s 2025 benchmarking research reported an average cost-per-hire of $5,475 for nonexecutive roles and $35,879 for executive hires. Your organisation’s figures may differ considerably, which is why your existing cost-per-hire should become one of the baselines against which a new platform is evaluated.

Then look at funnel leakage. Investment in job advertising and recruitment marketing only creates value if candidates complete the application process. Appcast research found that when an application takes more than five minutes to complete, organisations can experience a 50–75% application drop-off rate. Lengthy forms, duplicate data entry and poor application experiences can therefore turn recruitment marketing spend into lost candidates before the selection process has even begun.

Finally, measure what happens when the process moves too slowly. In a Robert Half survey, 39% of professionals said they would lose interest and withdraw from consideration because of a lengthy hiring process. Speed should not come at the expense of quality, but unnecessary scheduling delays, manual hand-offs and slow decision-making can put strong candidates at risk.

These are much stronger arguments than saying an ATS is difficult to use. They connect recruitment operations directly to measurable business outcomes.

Build the ROI case around your own numbers

A credible ROI model should separate hard financial savings from productivity and capacity gains.

Start with costs you can already see: agency expenditure, advertising spend, recruiter headcount, technology licences, temporary staffing and the cost of maintaining or working around your existing systems.

Then calculate the operational capacity that could be released through automation. LinkedIn’s Future of Recruiting 2025 research found that talent acquisition professionals already experimenting with or integrating generative AI reported saving an average of 20% of their working week — equivalent to one full working day.

That doesn’t mean every organisation should automatically put a 20% efficiency gain into its ATS business case. Instead, use your own process data to identify how much recruiter time is currently spent on repetitive work such as screening administration, interview coordination, candidate communications, reporting and manual data entry. Then model what happens if part of that workload is automated.

The result is a much more defensible argument: not “this ATS will save every recruiter eight hours a week,” but “our team currently spends X hours on these processes, and reducing that by Y% would release Z hours of capacity.”

Use real customer outcomes to demonstrate what is possible

Benchmark data establishes the scale of the problem. Customer evidence can show what transformation looks like in practice.

For example, Royal Papworth Hospital NHS Foundation Trust reduced time-to-hire by 57.2% following its recruitment transformation with Oleeo. The Trust also reported that 97.3% of applicants rated their recruitment journey as “good to excellent” and was on track to save £1.7 million in agency costs during the financial year.

Those results should not be presented as guaranteed outcomes for every organisation. They are evidence of what can be achieved when recruitment technology is combined with redesigned processes, better visibility and automation.

For your own business case, identify which customer results most closely match the challenges your organisation is trying to solve — whether that is time-to-hire, recruiter capacity, candidate experience, agency dependency or another measurable priority.

Don’t invent a value for quality of hire

Quality of hire is often one of the most important reasons for changing recruitment technology, but it is also one of the easiest areas to overstate.

Rather than promising a generic percentage reduction in attrition, define how your organisation will measure quality after implementation. That might include new-hire retention, hiring manager satisfaction, probation completion, performance outcomes or progression.

The same principle applies to AI-assisted selection. The business case should explain how technology will help teams make more consistent, evidence-based decisions while maintaining appropriate human oversight — not promise an arbitrary improvement percentage that cannot be substantiated.

Build the case for each executive stakeholder

A CFO will want to understand the economics. Show the three-year total cost of ownership, including licensing, implementation, migration, integrations and internal resource requirements. Set that against measurable savings and capacity gains, and make the expected payback period clear.

A CIO or CTO will look at the architecture behind the proposal. Your case should address security, APIs, integrations, data management and how the ATS will work alongside systems such as Workday or Oracle without creating another disconnected layer of technology.

Legal, compliance and governance teams will need to understand how candidate data and AI-supported decisions are managed. Where AI is involved, your evaluation should consider transparency, auditability, human oversight and the regulatory requirements that apply in the markets where you recruit.

The objective is to demonstrate that the platform solves a recruitment problem without creating a new financial, technical or regulatory one elsewhere in the organisation.

A five-part ATS business case structure

• 1. Executive summary: Define the business problem, recommended solution, investment required, expected return and proposed implementation timeline.
  
• 2. Current state and strategic impact: Quantify existing recruitment friction using metrics such as time-to-fill, cost-per-hire, agency spend, application completion, recruiter workload and candidate withdrawal.
  
• 3. Requirements and market evaluation: Compare vendors against the capabilities that matter to your organisation, including automation, AI-supported selection, CRM, candidate experience, integrations, analytics, security and governance.
  
• 4. TCO and ROI: Compare the full three-year cost of the technology with hard financial savings, productivity gains and additional recruitment capacity. Keep assumptions transparent so finance can challenge or adjust them.
  
• 5. Implementation and measurement: Set out the rollout plan, ownership, change management approach and the KPIs that will determine whether the investment has delivered what was promised.

Make the case for outcomes, not software

The strongest ATS business case doesn’t start with a product feature list. It starts with what recruitment is currently costing the organisation — in money, time, candidate conversion and capacity — and identifies where better technology can materially change those outcomes.

Use external benchmarks to give leadership context, but build the financial model around your own organisation’s data.

That turns the conversation from “we need a better ATS” into a much stronger proposition:

“Here is what our current recruitment process is costing us, here is what we can improve, and here is how we will measure the return.”