Seconds Count: JTF-CS Builds Digital Readiness for Rapid Response

Official Statements

• Joint Task Force Civil Support, November 9: “Seconds Count: JTF-CS Builds Digital Readiness for Rapid Response

  By Mass Communication Specialist 2nd Class Ryan WalvoordJoint Task Force-Civil Support Public Affairs

  Joint Base Langley-Eustis, Va. - In a catastrophic domestic emergency, Joint Task Force-Civil Support helps provide command-and-control support to lead federal agencies. The task force’s ability to respond depends on trained personnel, sound processes and timely information.

  That is why JTF-CS is applying digital tools to improve staff readiness. Through Department-authorized generative artificial intelligence tools, workflow automation and data-driven visualization capabilities, the task force is reducing time spent on repetitive administrative work and giving personnel more time to analyze information, coordinate across the staff and support leaders’ decisions.

  For Navy Lt. Cmdr. William “Bill” Gureck, JTF-CS Future Operations and Plans Branch chief, generative AI has changed how he manages large amounts of information.

  “I use GenAI a lot to help refine data and consolidate mass amounts of information into a clean package,” Gureck said. “Something that would take me hours now takes minutes, maybe seconds.”

  Those time savings have a direct connection to readiness. When staff members can more quickly consolidate information, develop initial drafts or organize data, they can dedicate greater attention to planning, validation and coordination - the work that helps JTF-CS remain prepared to support civil authorities when called.

  Generative AI and workflow automation serve different functions in that effort. Department-authorized generative AI platforms and tools can assist users with summarizing information and developing initial drafts. Authorized workflow automation tools and customized administrative applications can streamline recurring processes that once required manual data entry or repetitive coordination.

  The goal is not to remove people from the process. It is to reduce administrative friction while retaining human responsibility for the final product.

  Navy Intelligence Specialist 1st Class Toney Brooks said artificial intelligence can help accelerate the work surrounding intelligence analysis without replacing the analyst’s judgment.

  “In the intelligence enterprise, AI doesn’t change how we think about complex problem-solving; it changes how fast we can execute,” Brooks said. “By automating the monotonous, time-consuming tasks like chunking massive data streams, drafting SOPs and setting up automated intelligence triggers, we shrink the sensor-to-decision timeline.”

  For Brooks, the value of technology lies in giving analysts more time to focus on context, synthesis and the significance of the information they are assessing.

  “AI doesn’t solve the problem for me - it just clears the administrative runway so I can solve it faster,” Brooks said. “It turns hours of data-sifting and draft-writing into minutes, letting us deliver actionable assessments to the commander at the speed of relevance.”

  Using those capabilities effectively requires training, practice and healthy skepticism. U.S. Army Sgt. 1st Class Kevin Sullivan, a chemical, biological, radiological and nuclear noncommissioned officer assigned to JTF-CS, compares digital proficiency to the repeated training required to build trust in protective equipment.

  “I have trained individuals and entire staffs to trust their equipment, and no one has ever learned to trust a protective mask by reading the manual,” Sullivan said. “They learn by donning it under time pressure in the crucible of training reps and sets.”

  The same principle applies to digital tools. Personnel must learn how to frame clear questions, identify limitations, verify outputs and apply professional judgment before relying on a product. Training with the tools before a crisis helps establish the confidence and discipline needed when time is limited.

  Sullivan said the quality of generative AI output depends on both the user’s training and the quality of the prompt.

  “The quality of the output is a direct function of the quality of the training,” Sullivan said. “A thoughtful, well-constructed prompt in our authorized generative AI tools returns a thoughtful result, and a lazy one returns precisely what it deserves.”

  JTF-CS is also using data visualization and automation capabilities to support a shared understanding of the operating environment and improve routine staff processes. As personnel identify repetitive tasks and develop more efficient workflows, the benefits can extend across directorates and functions.

  Brooks said the task force’s approach to AI must continue to center on human oversight.

  “The future of artificial intelligence is not about replacing people,” Brooks said. “It is about integrating trusted tools into routine workflows so personnel can spend less time on repetitive tasks and more time verifying information, exercising judgment and supporting decisions.”

  For JTF-CS, digital modernization is not about adopting technology for its own sake. It is a readiness effort built on disciplined training, responsible use and a staff-wide commitment to finding better ways to support the mission. When the nation calls, the time saved through stronger processes and better tools can help give decisionmakers the information they need faster.”