AI Strategy

How CIOs Can Reduce Costs and Optimize Resources with Agentic Process Automation

Kognitos
How CIOs Can Reduce Costs and Optimize Resources with Agentic Process Automation

CIOs are under tremendous pressure to reduce costs, both within their own IT departments and by directly supporting other business lines. Capgemini Research reports that 56% of business leaders expect to prioritize cost reduction over revenue growth for this fiscal year.

Even though CIOs are feeling pressured to cut costs, 50% of organizations report that they will continue to increase strategic investments. Agentic process automation (APA) is one powerful investment that can achieve multiple goals for CIOs by driving massive ROI, cutting costs, improving operational efficiency, and increasing productivity. In fact, intelligent automation technologies—which APA falls under—are expected to reduce costs by 22%, while also increasing revenue by 11% in the three years after implementation. 

While legacy automation solutions including business process management (BPM) and robotic process automation (RPA) delivered some tangible benefits to CIOs, their untenable maintenance costs and low agility in support of enterprise scale ultimately limited both adoption and impact. In opposition, APA can quickly unlock benefits for CIOs through a combination of natural language processing, generative AI, and built-in skills.

Problem Area Benefit of Agentic Process Automation
Mounting Manual Labor Costs Directly reduces labor costs by automating routine manual tasks of varying complexity
Operational Inefficiencies Improves efficiency, resulting in reduced work hours and lower labor costs
Increasing Cybersecurity Costs Bridge talent and skills gaps and drive down cyber risk with AI automation
Mounting Technical Debt Consolidate point solutions and drastically reduce maintenance costs of legacy systems

Reduce Manual Labor Costs

APA significantly reduces costs associated with manual labor. Examples include data entry, customer service, invoice processing, inventory management, and other repetitive tasks. Take financial services, for example: loan application processing tasks such as document verification and credit score assessment can be quickly automated, so loan officers can focus their efforts on more complex cases and building stronger customer relationships. McKinsey estimates that tasks comprising up to 30% of working hours could be completely automated, translating to trillions of dollars in savings.

APA is far more adaptable and intelligent than previous technologies like Robotic Process Automation (RPA), which operate within rigid frameworks and require significant development work when processes change. Contrarily, APA is capable of learning and adjusting automations in real-time with minimal human intervention. This adaptability enables complex workflows at enterprise scale, without sacrificing performance or efficiency, making it an ideal solution for businesses looking to scale their operations without proportionally increasing their workforce.

Improvement in Operational Efficiency

Bain’s Automation Scorecard 2024 Report reports that the top quartile of organizations prioritizing automation investments were able to cut costs by an average of 37%. On the other hand, organizations investing 5% or less of their IT budgets in automation could only manage to cut costs by 8%.

APA has the potential to be even more impactful than legacy automation solutions like RPA that require substantial upfront investment, specialized developers, and significant maintenance. Kognitos uses pre-trained models that operate in plain English, enabling multiple business users to automate processes and reducing IT bottlenecks while preserving oversight. 

Not only are tasks being automated, but implementation and maintenance headaches are significantly reduced, empowering employees to work as efficiently as possible and pushing agility in the organization.

Enhanced Cybersecurity at a Lower Cost

Cybersecurity is a significant cost center for CIOs, and is expected to remain so in the face of increasing cyber threats and more sophisticated data breaches. In 2024, the average cost of a data breach climbed by 10% to $4.88M. 

In addition to infrastructure, pervasive cyber skills gaps and talent shortages further drive up the costs associated with cybersecurity. Attracting and retaining cyber talent is expensive, and demand far outweighs supply, making cybersecurity a top cost center for CIOs. 

APA solutions help bridge skills gaps by making more efficient use of cybersecurity personnel. Rather than spending time continuously monitoring networks for potential breaches or isolating malicious traffic, team members can deploy AI agents capable of autonomously addressing issues that arise. Organizations can cut costs and improve cybersecurity without adding headcount.

Technical Debt Reduction

79% of tech leaders cite technical debt as a significant hurdle in achieving their business objectives. So much so that they dispatch anywhere from 25%-40% of their developers’ time to addressing tech debt. 

CIOs have struggled to replace point solutions and retire legacy systems without business disruption. The emergence of APA provides an opportunity to consolidate point solutions and cut costs for both the system itself, as well as its maintenance costs. 

APA has the potential to be even more impactful than legacy automation solutions like RPA that require significant upfront investment, specialized developers, and substantial maintenance. Agentic platforms can streamline workflows of similar or greater complexity, incorporating previous point solutions into a single end-to-end platform and further accelerating cost savings. 

Driving Change

Agentic automation solutions provide CIOs with the opportunity to do what previously seemed impossible—reducing costs while optimizing resources to drive AI innovation in the organization. As leaders and business executives, CIOs must drive strategic change across key focus areas to deliver substantial cost savings.

AI automation will be crucial for CIOs to grow their strategic influence and drive their organizations forward. If you are a forward-leaning leader looking to prioritize strategic automation investments at your organization, reach out to the Kognitos team to see how we can help position you for greater success.

Frequently Asked Questions

Agentic process automation (APA) is the next generation of enterprise automation: instead of recording UI scripts (RPA) or building drag-and-drop flows (low-code), business users describe processes in plain English and an agentic AI platform reasons about how to execute them. The platform handles exceptions conversationally, learns from human guidance, and runs deterministically with full audit trails. APA collapses the cost and time of automation while strengthening governance.
APA eliminates the largest line items in a typical automation budget: bot maintenance (30–50% of legacy RPA TCO), Center of Excellence headcount, and integration custom code. Because business users author rules in English and the platform self-heals on exceptions, IT teams can shift resources from break-fix work toward strategic initiatives. Customers typically report 40–70% lower automation TCO within the first 12 months.
APA shifts the authoring of automation from RPA developers and low-code specialists to subject-matter experts in the business, while IT retains governance over integrations, approvals, and security. The result is a much smaller, more strategic automation team — typically 1 platform owner per 100 automations versus 1 RPA developer per 5–10 bots in legacy environments — with significantly higher throughput.
Yes, when the architecture is right. Kognitos uses a neurosymbolic engine: an LLM interprets English to a symbolic program, and a deterministic symbolic executor runs it. The executor cannot invent data or drift between runs. Every step is recorded in a tamper-evident Business Journal. Combined with SOC 2 Type II, HIPAA, and GDPR compliance, this makes APA suitable for finance, healthcare, insurance, and other regulated functions.
Most CIOs see first-process payback within 90 days and program-level ROI within 6–12 months — roughly half the typical RPA payback window. The acceleration comes from three factors: business users author processes directly (no IT queue), pre-built workflow templates cover common starting points, and ongoing maintenance is roughly 12× lower than RPA so savings compound.
Pick a single high-volume, exception-heavy process where RPA has historically struggled — invoice processing, claims handling, IT ticket triage, vendor onboarding, or quote-to-cash. Pilot it on Kognitos with one business owner, one IT sponsor, and a defined success metric (cycle time, STP rate, exception backlog). Once the pilot proves out in 4–6 weeks, scale across the function. Most CIOs follow with a portfolio review of legacy RPA bots to identify migration candidates.
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