Shayna Daly from Polytechnic Consulting joins Ingram Micro's AWS Partner Spotlight to discuss how their strategy-first approach differentiates them in the AWS partner channel — especially when working with federal, state, and local government clients navigating legacy systems and complex procurement cycles. Shayna also shares how Ingram Micro's Accelerated Development Program helped fast-track their AWS practice's growth.Key Takeaways🎯 Strategy before technology — Unlike partners who jump straight to implementation, Polytechnic starts by understanding why a solution is needed before recommending how to build it — ensuring long-term fit, not just a quick deployment.🏛️ Insider knowledge of government constraints — Having worked inside government organizations as employees or consultants, Polytechnic understands the unique procurement cycles, budgets, and legacy technology realities that make government IT modernization anything but one-size-fits-all.🔐 Customized network modernization, not out-of-the-box — Their secure network modernization process — discovery, solution architecture, then customized Palo Alto deployment — is tailored to each environment rather than dropped in as a generic template.🚀 An extension of the team, not just a vendor — Ingram Micro's Accelerated Development Program gave Polytechnic technical expertise, go-to-market guidance, and enablement resources that sped up their AWS practice maturity significantly.Timeline00:00 – Welcome & introductions00:20 – What is Polytechnic Consulting?00:45 – What differentiates Polytechnic from other AWS partners01:43 – What Polytechnic brings to government agencies specifically03:01 – Overview of secure network modernization services03:28 – Their step-by-step process: discovery, architecture, deployment04:29 – How Ingram Micro's Accelerated Development Program helped05:31 – Closing thoughts & thanks

Lisa from Ingram Micro joins this episode of Ingram Micro Insider to break down how the Industry Solutions Organization helps AWS partners break into public sector — from leveraging contract vehicles like OMNIA, NCPA, and GSA, to accessing a dedicated grant writer and underused business intelligence tools. Lisa shares practical advice on where new partners should focus first, how to build credibility fast, and the biggest myths holding partners back from public sector success.Key Takeaways📝 Contracts turn months into days — By having partners operate as the prime under Ingram Micro's existing contracts (OMNIA, NCPA, GSA, and the newly awarded SUPSIC), partners skip the bid/quote process and can close deals in days instead of months.💰 A dedicated grant writer is a hidden weapon — Many school districts and public entities don't even know funding exists; Ingram Micro's in-house grant writer finds, writes, and manages grants end-to-end so partners can focus purely on selling.🎯 Start with state/local & education, not federal — New partners often chase the biggest federal opportunities first, but state and local government and education are actually the easiest, fastest entry points into public sector.🧭 "Don't try to boil the ocean" — The fastest path to credibility and success is going deep on one vertical (e.g., education or healthcare) with real subject matter expertise, rather than spreading thin across every market.Timeline00:00 – Welcome & introduction00:48 – Why Ingram Micro built a public sector cloud practice01:31 – Biggest obstacles partners face selling into public sector02:18 – How contract vehicles accelerate deals04:08 – Busting the "public sector takes forever" myth05:04 – How Ingram Micro's grant writer fills the funding gap06:45 – The most underused tool: business intelligence platforms08:33 – The #1 mistake new public sector partners make09:07 – The fastest way to build credibility10:35 – Final advice: "Don't try to boil the ocean"

Derek Ross from TrueMark joins Ingram Micro's AWS Partner Spotlight to explain why being an AWS-only implementation partner lets his team go deeper than generalist competitors — from smarter VMware modernization and landing zone governance to cost optimization and secure enterprise AI on Amazon Bedrock. Derek shares how TrueMark helps lean IT teams in education and government scale confidently without sacrificing compliance or control over their data.Key Takeaways🎯 AWS-only means real depth — Unlike partners who spread across GCP, Azure, and on-prem, TrueMark's exclusive AWS focus lets former AWS solutions architects go deep on cloud-native services rather than offering generic, shallow expertise.🏛️ Built for lean teams, not big budgets — TrueMark's landing zone and infrastructure-as-code work is specifically designed for two-to-three-person IT teams in education and government managing 100+ workloads — leaving them equipped to self-manage after the engagement.💰 Funded assessments, smarter cost outcomes — TrueMark partners with AWS to help fund migration assessments and implementation, right-sizing each workload (rehost, replatform, or even move to SaaS) rather than defaulting to a blanket "lift and shift."🔒 Enterprise AI without losing control of your data — Using AWS Bedrock and SageMaker, TrueMark helps government and regulated customers access models like Claude, Llama, and DeepSeek while keeping their data fully isolated — addressing the #1 fear legal teams and CIOs have about AI.Timeline00:00 – Welcome & introduction00:21 – "More than a migration partner" — TrueMark's philosophy01:04 – How TrueMark's modernization approach differs from lift-and-shift02:29 – Landing zones, infrastructure as code & governance at scale03:47 – Optimizing cost and performance together04:48 – Moving enterprise AI from experimentation to production05:55 – Choosing the right AI model for the use case06:39 – Closing thoughts

Will St. Clair from Practical Acceleration joins Ingram Micro's AWS Partner Spotlight to discuss how his team — all former AWS healthcare leaders with nearly 30 years of combined experience — is helping providers, payers, and health tech companies deploy agentic AI safely and at scale. Will shares why healthcare has a uniquely high bar for AI deployment, and how Ingram Micro's Accelerated Development Program helped his new company punch above its weight from day one.Key Takeaways🏥 Former AWS healthcare leaders, now independent — Practical Acceleration's founding team spent a combined ~30 years at AWS building health data interoperability tools, EHR deployments, and supporting Amazon's COVID diagnostics business — now applying that experience as an exclusive AWS partner.⚖️ Healthcare has a uniquely high bar — Deploying AI in healthcare requires proving improved patient care, stronger security posture, reduced risk, and earned trust from patients and clinicians — not just technical capability.🚧 The "last mile" problem is the real challenge — Powerful AI models open up new use cases, but governance, guardrails, and evaluation are what separate a working demo from a safe, production-ready deployment.🚀 Punching above their weight with Ingram Micro — The Accelerated Development Program gave this brand-new company faster go-to-market speed, access to higher-tier AWS partner benefits, and confidence to approach customers of any size.Timeline00:00 – Welcome & introductions00:21 – Who is Practical Acceleration?00:46 – The team's background at AWS01:27 – What differentiates Practical Acceleration from other AWS partners02:23 – How they help healthcare organizations solve real problems03:08 – Opportunities & challenges of agentic AI in healthcare04:10 – Advice for a customer just getting started with agentic AI05:03 – How Ingram Micro's Accelerated Development Program helped

Eric Evans and Charlie Clayton from Hanabyte join Ingram Micro's AWS Partner Spotlight to discuss how regulated organizations can move fast in the cloud without sacrificing security or compliance. They break down Hanabyte's "cradle to grave" approach — from mock audits and knowledge transfer to blurring the line between compliance and engineering — and how their Ingram Micro partnership helps clients navigate NIST, CMMC, FedRAMP, and HIPAA requirements.Key Takeaways🐕 "Shepherding," not gatekeeping — True to their German Shepherd mascot, Hanabyte guides regulated clients through cloud adoption end-to-end, but their explicit goal is teaching clients to operate the system themselves — not locking them into a managed service.📋 Compliance isn't a binder nobody reads — Instead of building shelf-ware documentation, Hanabyte runs clients through mock audits, deep technical discovery, and continuous knowledge transfer so compliance actually holds up when a real auditor shows up.⚙️ GRC engineers blur the lines — Hanabyte's "compliance engineers" combine deep regulatory knowledge (CMMC, FedRAMP) with hands-on engineering, accelerating implementation using six years of battle-tested, audited automation.💰 Compliance is a business driver, not a checkbox — Every engagement starts by understanding the real business impact of not modernizing — lost contracts, fines, or an inability to compete — to build the ROI case leadership needs to approve the work.Timeline00:00 – Welcome & introductions00:33 – Is "move fast" vs. "stay compliant" really a real tension?02:06 – Making compliance more than a checkbox exercise03:55 – Shared responsibility & the "shepherding" philosophy05:43 – First decisions that matter most for regulated AWS clients07:13 – Why compliance is a continuous process, not one-and-done08:04 – Selling to different personas: engineers vs. the C-suite09:35 – Where advisory ends and implementation begins11:41 – First move for a nervous, modernization-minded leader13:13 – Understanding what's really at stake for the business

Nathaniel from InfoCap joins this AWS Partner Spotlight with Ingram Micro to unpack what makes agentic AI fundamentally different from both traditional workflow automation and today's generative AI — and why accountability, not capability, is the real challenge in government adoption. Nathaniel explains how InfoCap builds observable, auditable AI systems that reduce case backlogs while keeping humans firmly in the loop on final decisions.Key Takeaways🤖 Agentic AI acts, it doesn't just answer — Unlike earlier AI that generated predictions or answers, agentic AI actually performs the work itself — completing complex casework, applications, and adjudication tasks that previously required a human.🔀 Not the same as workflow automation — Traditional workflows follow predefined "if this, then that" paths; agentic AI operates within guardrails and policies but chooses its own path through a near-limitless set of possible steps.🔍 Accountability is the real bottleneck — The hardest part of deploying agentic AI in government isn't the technology — it's defining who is accountable when an agent's decision is wrong, since "you can't hold an agent accountable."⚖️ Agents do the digging, humans make the call — InfoCap's approach has agents handle the research and due diligence behind a decision (often 95% of the work) while leaving the final, accountable determination to a human.Timeline00:00 – Welcome & introduction00:21 – What makes agentic AI different from recent AI adoption01:10 – How agentic AI differs from traditional workflow automation02:10 – Where work actually gets stuck today03:56 – When does a human need to be in the loop?05:15 – Moving beyond the "black box" — observability & accountability07:29 – How InfoCap builds accountable, transparent automation08:35 – How agentic AI reduces backlogs without sacrificing oversight09:35 – Where InfoCap fits in the government AI landscape

David from Global Paradigm joins Ingram Micro's AWS Partner Spotlight to explain how their "Next Gen MSP" model goes beyond traditional break-fix IT support — pairing strategic, transparent cloud guidance with their AI-powered help desk product, Inteledesk. David shares how this approach is cutting mean-time-to-repair by up to 60% and helping mid-market organizations turn IT into a true business asset.Key Takeaways🔧 Beyond "keeping the lights on" — Instead of just maintaining legacy systems on contract, Global Paradigm proactively advises clients on when it's time to modernize — even if that means recommending change over the status quo.🤖 AI-powered help desk, 60% faster — Inteledesk cuts through repetitive "is it plugged in?" troubleshooting scripts, delivering a 30–60% reduction in mean-time-to-repair by getting straight to the root issue.🔍 "Glass box," not black box — Unlike traditional MSPs that obscure who's working on your account, Global Paradigm gives full visibility into staffing and process — with the explicit goal of eventually equipping clients to run it themselves.🔒 Security matches your most sensitive data — AI tools like Inteledesk are protected with the same security rigor as customer databases or healthcare records, addressing a top concern for regulated industries.Timeline00:00 – Welcome & introduction00:29 – What makes Global Paradigm different from a traditional MSP?02:35 – Ending "drive-by selling" in IT services03:42 – Introducing Inteledesk, their AI help desk product06:07 – Why mid-market companies choose Global Paradigm over larger MSPs07:13 – "Glass box" transparency vs. the traditional black-box MSP08:45 – Securing AI tools for regulated industries09:59 – What a typical engagement looks like (18 months to full results)11:07 – Seeing results in the first 90 days

Ingram Micro sits down with Moses and Nick from TGIX to explore why so many AI initiatives stall out in proof-of-concept and never reach production. They break down TGIX's holistic approach to AI transformation — from infrastructure and data pipelines to security — and share real examples of helping public sector organizations modernize for the AI era.Key Takeaways🧩 Stitching it all together — Most AWS partners specialize in one lane (migration, data, security). TGIX's differentiator is a holistic view across infrastructure, data pipelines, and applications so nothing gets left disconnected.🏗️ Foundation before flash — Organizations chasing the newest AI models without solid technical foundations rarely scale past proof-of-concept; the ones that succeed invest in infrastructure first.🚗 Old architecture, new workloads — Cloud environments built pre-AI weren't designed for it (the "two-lane road" / "EV on horse-and-carriage roads" problem), so refactoring is often unavoidable, not optional.🎯 Work backwards from mission outcomes — TGIX starts every engagement by understanding the client's business/mission drivers, then identifies infrastructure and data gaps before recommending any AI buildout.Timeline00:00 – Welcome & introductions00:29 – What problems is TGIX solving?01:19 – Why AI requires a full technology overhaul02:13 – TGIX's nonprofit + GenAI competency combo03:33 – Do cloud environments need refactoring for AI?05:15 – What an AI transformation process looks like07:19 – Balancing speed vs. doing it right08:26 – Why you can't just "layer" AI onto old systems09:56 – Real transformation example: Medicare/Medicaid fraud detection11:47 – Staying ahead of AI instead of playing catch-up