Driving government efficiency through AI, low-code, and digital modernization. Trusted partner to federal agencies solving mission-critical challenges. Reston, VAJoined April 2025
#AIforGovernment@Carahsoft You don’t get fit reading about workouts. You use the gym. Same with #GenAI. Start using it to learn where it excels—and where it breaks.
#AIforGovernment@Carahsoft AI is going to be embedded into every single thing you do, every single piece of software, every ISV will have it embedded into their software. It is just going to be a no brainer. If they don't have it today, it will come.
#AIforGovernment@Carahsoft Govt adoption needs both - Bottom-up: give tools to staff, let them find wins - Top-down: pick 2–5 priority processes, redesign w/AI at core. Top-down AI must be selective. You can’t modernize every process at once. Focus on mission-critical areas.
#AIforGovernment@Carahsoft@USArmy chaplains used #GenAI to write sermons—so they could spend more time on soldier mental health. Unexpected, powerful bottom-up win.
#AIforGovernment@Carahsoft National Lab scientist used #GenAI in a hackathon and co-authored a new physics discovery—credited #ChatGPT + the reasoning model as co-authors.
#AIforGovernment@Carahsoft#AITip After a GenAI convo, ask: “What prompt would have gotten me here faster?” Great way to reverse-engineer efficient inputs. #AITip Don’t just use one model. Try the same query in #ChatGPT & #Claude. Ask one what it thinks of the other’s response.
#AIforGovernment@Carahsoft @PennsylvaniaGov GenAI pilot: 175 staff across 14 agencies used #GenAI 35 mins/day & saved 95. Used for writing, research, & bureaucracy hacking. Cut 93 IT policies to 34. Early wins show high-impact use cases can spark adoption, reimagine legacy work.
#AIforGovernment @Carahsoft#GenAI reshapes work: knowledge workers shift from creating to editing/stewarding #AI output. Overreliance is a risk, but undertrust also limits value. Leaders must model use. The best results come from treating AI like a teammate—not just a tool.
#AIforGovernment@Carahsoft Predictive AI impacted IT + data science. GenAI touches entire workforce. Workflows are evolving: think GenAI-assisted intake → cross-reference → draft → human review.
#AIforGovernment@Carahsoft GenAI = transformative opp; but adoption must reflect PubSec realities. Success depends less on tech rollout, more on human understanding of tools, trust, workflow impact. Meta-skill for knowledge workers, needs fluency, practice, ongoing learning.
#AIforGovernment @Carahsoft#AI boom is here, not coming. Shift from paper to predictive to generative to agentic is underway. Success = leaning in. Use the tools you’ve invested in. Embed standards in contracts. Clean data as you go. Scale what works.
#AIforGovernment@Carahsoft Future challenge: AI risk management (need single pane of glass to monitor model risk; RAI governance should mirror lessons from commercial banking post-Dodd-Frank; Innovation won’t slow, govt needs to extract value from tools it already owns.
#AIforGovernment@Carahsoft Obstacles to Progress. Lack of standardization: too many ad hoc apps, too few shared data definitions. Contract lang emerging as a lever: SIs must align w/agency data standards. “Pilot purgatory” projects stall due to governance gaps & unclear owner.
#AIforGovernment@Carahsoft@USDA implemented a multi-year data strategy across a highly complex, multi-constituent ecosystem. Have 100+ AI use cases in pilot—like detecting orange blight via pattern recognition to reduce field inspections.
#AIforGovernment @Carahsoft Agencies seeing ROI of past investments in data governance, now foundational for AI. @StateDept created #AI CoE + cross-bureau data board to enforce consistent data labels and org codes. Good visualization = gateway to better data hygiene.
#AIforGovernment@Carahsoft 70-80% fed use cases still back office; starting to see evolution to different way of thinking. Be curious but cautious to avoid PILOT PURGATORY!
#AIforGovernment @Carahsoft End-to-end AI pipelines are critical. Agencies: when evaluating vendors, ask how many #AI pipelines have you actually built?
ASK US!!
#AIforGovernment@Carahsoft shared sandboxes, dev/test/prod, containerized data centers enabling scalable experimentation. Agencies: monitor inside shared environments to ensure accountability. Location of #data (edge/on-prem/cloud) should follow use case, not other way around.
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