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5 Ways Government Contractors Can Tackle Digital Transformation

Ronda Cilsick
CIO
Deltek

The growing adoption of efficiency-boosting technologies like artificial intelligence (AI) and machine learning (ML) helps counteract staffing shortages, rising labor costs, and talent gaps, while giving employees more time to focus on strategic projects. This trend is especially evident in the government contracting sector, where, according to Deltek's 2024 Clarity Report, 34% of GovCon leaders rank AI and ML in their top three technology investment priorities for 2024, above perennial focus areas like cybersecurity, data management and integration, business automation and cloud infrastructure.

Operating within tight profit margins and complex supply chains, government contractors face significant pressure to boost efficiency, save time, and reduce costs with automation. But with unique barriers to technology adoption, from economic constraints to regulatory hurdles, IT leaders can't rush investments in digital transformation.

Despite these challenges, digital transformation is not out of reach for this industry. By taking a measured approach and fostering a culture of innovation, IT leaders will be empowered to unlock the efficiency and cost-saving benefits of AI and ML.

Navigating Unique Hurdles to Tech Adoption

Digital transformation initiatives present challenges and considerations for any organization. However, tech adoption can be difficult for government contractors — particularly for those that are risk-averse due to the imperative for safety standards on mission critical programs, long product development lifecycles and reliance on legacy systems.

Inflation and high labor costs place additional pressure on the success of technology investments. Moreover, government contractors must navigate stringent regulatory requirements that can complicate the adoption of new technologies.

For example, managing sensitive data from government entities requires meticulous planning and execution to ensure compliance with data security standards. This complexity can lead to apprehension among leaders regarding the time and effort required to implement new software — and onboard and train both employees and external parties.

Given these constraints, it's not surprising that IT leaders who work at government contracting firms rank implementing new software systems among their top three challenges. But by understanding these obstacles, you can implement smart strategies to overcome them and pursue digital transformation.

Tips to Kickstart Your Digital Transformation Efforts

While AI plays a key role in optimizing internal processes and improving decision-making, you can't rush investments in AI — especially in the highly regulated government contracting space.

Successful digital transformation initiatives require a measured approach in which you:

1. Address cultural factors: While technology adoption is a critical aspect of digital transformation, these solutions cannot succeed without the people who implement, maintain, and provide education and training to enable their use. Effective change management and employee involvement in digital transformation can help secure employee buy-in and mitigate fears about changes in processes and technologies.

It's just as important to foster a culture of innovation in which failure is part of the learning process. Room to explore new ideas and learn from their mistakes offers space for employees to innovate and determine how AI fits into the organization's broader technology strategy.

2. Prioritize agility: IT governance is crucial to ensuring stability and compliance when integrating new technologies. But if governance is too rigid it becomes increasingly difficult to efficiently respond to market changes as technology advances.

Consider taking a "just enough" approach that focuses on implementing only the necessary amount of oversight and control to remain compliant without creating unnecessary bureaucracy. For example, instead of requiring a one-size-fits-all approval process to approve projects and digital transformation initiatives, take a tiered approach, establish clear guidelines and delegate approvals to designated teams to enable quick decision-making within those parameters.

3. Focus on data quality: AI-powered tools are only as effective as the data that trains them, making data quality a must-have foundation for any AI investment. To enhance your AI initiatives, prioritize the implementation of technologies and processes that improve data quality, like data governance frameworks and data cleaning software.

You can also increase your chances of earning leadership buy-in by identifying solutions that do more than simply automate. For example, some platforms integrate compliance management with project management and financial tools, offering a clear ROI while ensuring regulatory compliance.

4. Start small and scale: Digital transformation doesn't — and shouldn't — happen overnight. Start by identifying areas of the business that heavily depend on manual processes and could see significant improvements from technology integration.

For instance, while 58% of government contractors use enterprise resource planning (ERP) systems and accounting software, nearly the same percentage (55%) still use spreadsheets to manage financial operations. Digitizing and automating routine tasks in your financial operation enhances productivity and serves as a practical starting point to experiment with automation, paving the way for further improvements.

5. Document progress: Your ability to scale digital transformation efforts hinges on robust documentation. Make sure to set measurable goals before deploying new technology solutions so you can monitor and log progress via metrics like percentage reduction in invoice processing time or increase in on-time project delivery rates.

Use these findings to inform future decision-making and guide future initiatives. Additionally, consider asking leaders involved in these projects to share success stories and use cases across the organization to foster adoption and build confidence among employees.

AI Is Here to Stay, So Do It Right

Don't let the current hype around AI lead to rushed investments — these technologies are here to stay. It is crucial to not only prepare your data and people for AI, but also to begin with small initiatives, scale gradually, and document your progress along the way. A systematic approach to digital transformation and AI adoption can help you overcome cultural, regulatory, and technological barriers and determine how new technologies can optimize business processes and decision-making.

The result? You gain the ability to harness the full potential of AI and drive meaningful, sustainable change.

Ronda Cilsick is CIO of Deltek

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5 Ways Government Contractors Can Tackle Digital Transformation

Ronda Cilsick
CIO
Deltek

The growing adoption of efficiency-boosting technologies like artificial intelligence (AI) and machine learning (ML) helps counteract staffing shortages, rising labor costs, and talent gaps, while giving employees more time to focus on strategic projects. This trend is especially evident in the government contracting sector, where, according to Deltek's 2024 Clarity Report, 34% of GovCon leaders rank AI and ML in their top three technology investment priorities for 2024, above perennial focus areas like cybersecurity, data management and integration, business automation and cloud infrastructure.

Operating within tight profit margins and complex supply chains, government contractors face significant pressure to boost efficiency, save time, and reduce costs with automation. But with unique barriers to technology adoption, from economic constraints to regulatory hurdles, IT leaders can't rush investments in digital transformation.

Despite these challenges, digital transformation is not out of reach for this industry. By taking a measured approach and fostering a culture of innovation, IT leaders will be empowered to unlock the efficiency and cost-saving benefits of AI and ML.

Navigating Unique Hurdles to Tech Adoption

Digital transformation initiatives present challenges and considerations for any organization. However, tech adoption can be difficult for government contractors — particularly for those that are risk-averse due to the imperative for safety standards on mission critical programs, long product development lifecycles and reliance on legacy systems.

Inflation and high labor costs place additional pressure on the success of technology investments. Moreover, government contractors must navigate stringent regulatory requirements that can complicate the adoption of new technologies.

For example, managing sensitive data from government entities requires meticulous planning and execution to ensure compliance with data security standards. This complexity can lead to apprehension among leaders regarding the time and effort required to implement new software — and onboard and train both employees and external parties.

Given these constraints, it's not surprising that IT leaders who work at government contracting firms rank implementing new software systems among their top three challenges. But by understanding these obstacles, you can implement smart strategies to overcome them and pursue digital transformation.

Tips to Kickstart Your Digital Transformation Efforts

While AI plays a key role in optimizing internal processes and improving decision-making, you can't rush investments in AI — especially in the highly regulated government contracting space.

Successful digital transformation initiatives require a measured approach in which you:

1. Address cultural factors: While technology adoption is a critical aspect of digital transformation, these solutions cannot succeed without the people who implement, maintain, and provide education and training to enable their use. Effective change management and employee involvement in digital transformation can help secure employee buy-in and mitigate fears about changes in processes and technologies.

It's just as important to foster a culture of innovation in which failure is part of the learning process. Room to explore new ideas and learn from their mistakes offers space for employees to innovate and determine how AI fits into the organization's broader technology strategy.

2. Prioritize agility: IT governance is crucial to ensuring stability and compliance when integrating new technologies. But if governance is too rigid it becomes increasingly difficult to efficiently respond to market changes as technology advances.

Consider taking a "just enough" approach that focuses on implementing only the necessary amount of oversight and control to remain compliant without creating unnecessary bureaucracy. For example, instead of requiring a one-size-fits-all approval process to approve projects and digital transformation initiatives, take a tiered approach, establish clear guidelines and delegate approvals to designated teams to enable quick decision-making within those parameters.

3. Focus on data quality: AI-powered tools are only as effective as the data that trains them, making data quality a must-have foundation for any AI investment. To enhance your AI initiatives, prioritize the implementation of technologies and processes that improve data quality, like data governance frameworks and data cleaning software.

You can also increase your chances of earning leadership buy-in by identifying solutions that do more than simply automate. For example, some platforms integrate compliance management with project management and financial tools, offering a clear ROI while ensuring regulatory compliance.

4. Start small and scale: Digital transformation doesn't — and shouldn't — happen overnight. Start by identifying areas of the business that heavily depend on manual processes and could see significant improvements from technology integration.

For instance, while 58% of government contractors use enterprise resource planning (ERP) systems and accounting software, nearly the same percentage (55%) still use spreadsheets to manage financial operations. Digitizing and automating routine tasks in your financial operation enhances productivity and serves as a practical starting point to experiment with automation, paving the way for further improvements.

5. Document progress: Your ability to scale digital transformation efforts hinges on robust documentation. Make sure to set measurable goals before deploying new technology solutions so you can monitor and log progress via metrics like percentage reduction in invoice processing time or increase in on-time project delivery rates.

Use these findings to inform future decision-making and guide future initiatives. Additionally, consider asking leaders involved in these projects to share success stories and use cases across the organization to foster adoption and build confidence among employees.

AI Is Here to Stay, So Do It Right

Don't let the current hype around AI lead to rushed investments — these technologies are here to stay. It is crucial to not only prepare your data and people for AI, but also to begin with small initiatives, scale gradually, and document your progress along the way. A systematic approach to digital transformation and AI adoption can help you overcome cultural, regulatory, and technological barriers and determine how new technologies can optimize business processes and decision-making.

The result? You gain the ability to harness the full potential of AI and drive meaningful, sustainable change.

Ronda Cilsick is CIO of Deltek

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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