How Agentic AI delivers ROI around the clock

In the AI gold rush, most companies are still exploring how GenAI might improve internal workflows or customer experiences. But the next evolution - Agentic AI - is already driving measurable ROI, especially in procurement.

Agentic AI is not only speeding up supplier negotiations, it's unlocking enterprise-level value far beyond traditional automation, enabling teams to scale, cut costs and improve supplier relationships at the same time.

As companies transition from pilot projects to deployment, one question is rising to the top of every boardroom agenda: how do you capture and measure ROI from Agentic AI? 

Agentic AI delivers results beyond human bandwidth

Traditional procurement teams are constrained by regular working hours, human attention spans and the complexity of managing multiple negotiations simultaneously. AI agents operate autonomously, eliminating those limits, even during off-hours. These agents operate 24/7, executing supplier deals at scale, reconciling data from multiple source points and identifying the best possible outcomes without fatigue or oversight.

The result is a new level of operational throughput. Instead of procurement managers juggling dozens of negotiations, Agentic AI can handle hundreds – accelerating cycle times and creating efficiencies that humans simply cannot match at the same time and scenario. In a business landscape where speed and accuracy directly impact margins, this is a huge advantage for driving growth.

Impact is multidimensional

When businesses think ROI, they often default to cost savings. Agentic AI certainly delivers in that aspect, Pactum AI’s customer base is broadly looking at ten times ROI, which, now, is easily done thanks to the use of AI agents. The bigger impact, however, is broader and longer-term. 

By automating negotiations, procurement professionals are freed from the repetitive, transactional tasks that typically consume their time. Instead, they can redirect their expertise toward higher-value activities, such as developing sourcing strategies, building stronger supplier partnerships, driving innovation and aligning procurement decisions with wider business objectives.

Crucially, Agentic AI doesn’t just make processes faster; it makes them smarter.

By managing more consistent, data-driven negotiations, Agentic AI fosters trust and transparency, laying the foundation for long-term partnerships rather than one-off deals. What’s more, these agents are constantly learning from one negotiation to the next, meaning they gradually improve over time to ensure future engagements are even more efficient and effective.

The result is a compounding effect: companies that adopt early don’t just capture immediate financial benefits; they build a durable strategic advantage that strengthens with every cycle.

Pitching ROI as a startup requires clarity

Whether you’re offering GenAI or agent-based AI, how you frame ROI matters. Agentic AI is judged not on novelty, but its ability to consistently do the work - with authority, speed and scale, and these are the metrics that stakeholders care about.

Successful cases go beyond broad claims of automation and efficiency. They show how autonomous negotiations integrate into existing workflows, reducing reliance on manual processes and producing success both financially and non-financially.

As companies shift from experimentation to deployment, Agentic AI is emerging as a ROI-driven solution - particularly in procurement, where every efficiency scales across the business. The winners of this next phase won’t be those chasing novelty, but those who prove that autonomous agents can deliver lasting, measurable value.

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About Pactum 

Pactum is a leading Agentic AI platform for enterprise procurement, empowering Chief Procurement Officers to add AI agents working alongside humans. It has just recently announced its Series C fundraise of $54 million. This round, led by global software investor Insight Partners, brings the company’s total funding to date to more than $100 million.