IT reinvention succeeds when technology leaders translate technical work into business decisions. In a 15 October 2026 CIO interview, Deluxe Chief Technology and Digital Officer Yogaraj “Yogs” Jayaprakasam argues that architecture, artificial intelligence, platforms and resilience earn credibility only when executives can connect them to growth, margins, risk, customer satisfaction and employee experience.
Why translation is now an IT leadership discipline
Technology teams routinely describe projects in systems, models, interfaces and controls. Business leaders decide in revenue, EBITDA, operating risk, customer outcomes and workforce capacity. Translation is the practice of connecting those two vocabularies without losing the technical facts.
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Jayaprakasam describes technology’s mission at Deluxe as “to power profitable growth.” That framing changes the question from “What are we implementing?” to “Which business result will this capability change, by how much, and when?” A platform upgrade might therefore be presented as faster product launches, fewer service interruptions or lower operating cost rather than as a replacement of servers or software components.
The leadership standard is not constant advocacy for technology. Jayaprakasam calls the hallmark of a successful technology leader “the ability to seamlessly shift between leading and serving, always doing what best advances the success of the team and the enterprise.” Translation includes saying no, changing direction when evidence changes and serving business units with capabilities they can actually use.
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Transformation and reinvention are different jobs
Transformation improves the way an existing business operates. Reinvention changes what the company offers, how it creates value and the capabilities it must build, while preserving the customer mission that still matters.
| Question | Transformation | Reinvention |
|---|---|---|
| Mission versus operating model | The customer job remains, and established operations become more efficient. | The customer job remains, but the product, operating model and capabilities change. |
| Efficiency versus new value | Digital tools accelerate existing work, such as applying digital order management to manufacturing. | Technology enables a different product or revenue model, such as moving from check production to software-driven payment services. |
| Capability breadth | Changes may be concentrated in process and technology. | Finance, sales, talent, governance, platforms and operating assumptions must evolve together. |
| Success measure | Productivity, speed or cost improvements in the current business. | New growth, resilience and customer value from a changed business model. |
Deluxe illustrates the distinction. It began as a check-focused company and now describes itself as a digital payments and data business offering merchant services, credit-card processing, payment-settlement enablement, payment gateways and data-driven marketing. The mission—completing payments safely and quickly—continues, but the products, technology stack and organizational mindset are different.
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Jayaprakasam says Deluxe is 112 years old and estimates that about 80% of what it does remains the same even as technology changes how the work is performed. He also reports that payments and data represented about 30% of the business at the start of the journey and 52% later, with a possible path toward 60% after the Celero Commerce acquisition. Those are interview figures, not an independently audited series.
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Jayaprakasam organizes the technology agenda around five pillars. Together they give CIOs a way to turn a broad reinvention program into decisions, owners and measures.
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- Deliver measurable business value. Tie every major technology investment to growth, margin, risk, customer or employee measures, and explain the result to executives and the board.
- Build modern products and platforms. Create reusable data, AI and API capabilities that multiple business units can consume instead of funding isolated solutions that cannot scale.
- Scale AI responsibly. Use AI for automation and efficiency while assigning governance, model-risk controls, human accountability and operating safeguards.
- Strengthen cyber resilience and trust. Treat security, availability and recovery as protections for revenue and EBITDA, not as technical compliance exercises.
- Grow next-generation talent and culture. Give employees suitable tools and AI skills, while maintaining accountability, collaboration and clear decision rights.
How to show the business value of resilience
Resilience is often difficult to translate because its best outcome is an incident that never reaches customers. Deluxe’s interview provides a concrete example: after introducing synthetic monitoring, blast-radius analysis and proactive service-desk operations, Jayaprakasam reports an 80% or greater reduction in system incidents over nine months. The figure is his account of the company’s result; the interview does not provide an independent audit.
A business-facing explanation should connect those controls to fewer customer disruptions, less lost work, lower recovery expense and protected EBITDA. It should also state the measurement window and baseline, so executives can distinguish a durable change from a short-term fluctuation.
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How CIOs decide which AI signals matter
Jayaprakasam tracks AI through three lenses:
- Payments and agentic commerce: how software agents may discover, authorize and complete transactions, and what new controls payment businesses will need.
- Cybersecurity and chained vulnerabilities: how AI can accelerate attacks across connected systems, as well as improve detection, response and recovery.
- Talent: which tasks will change, which skills employees need and how leaders can introduce AI without weakening accountability.
His learning loop combines research, conversations with peers, practical examples and a willingness to revise assumptions. After ChatGPT’s November 2022 release, he began the “AI Signals: Navigating Change” newsletter to identify durable lessons across earlier technology shifts rather than chase every announcement.
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1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problemsFor an IT leadership team, that loop can be made operational: state an assumption, test it against customer or operating evidence, run a bounded pilot, measure the business effect and change the investment decision when the evidence disagrees. The useful signal is not the newest model; it is a repeatable improvement in a material business outcome with acceptable risk.
A practical translation checklist for reinvention plans
- Name the customer mission. State what must remain true even if products and operations change.
- Describe the new value model. Specify whether the initiative improves existing work or enables a different product, channel or revenue stream.
- Map the capabilities. Include finance, sales, talent, governance, data, platforms and resilience—not technology alone.
- Choose outcome measures. Use a small set of indicators for growth, margin, risk, customer experience and employee experience, with a baseline and time horizon.
- Explain the control environment. For AI and cyber initiatives, identify accountability, monitoring, recovery and acceptable failure modes.
- Install a learning loop. Review evidence regularly, capture what changed and stop or reshape work that does not produce the promised result.
The wider lesson for technology leaders
Jayaprakasam’s case shows why reinvention is not a technology department program. A century-old company can retain most of its activity while changing its products, platforms and growth engine. The CIO’s job is to make that continuity and change legible at the same time: preserve the customer promise, show exactly what the business must learn or rebuild, and translate technical choices into actions leaders can fund, govern and measure.
As CIO puts it, successful IT leaders are “master translators,” interpreting technical complexity clearly enough for business units to make decisions and act. That is the operating skill that turns reinvention from a collection of projects into a business strategy.
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