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Cloud, cybersecurity, compliance, and AI consulting
Edwards Consulting Group helps teams control cloud cost, modernize platforms, prepare compliance evidence, test security posture, remediate risk, and turn AI workflows into shipped systems. Start with the business pressure in front of you; ECG will map the technical work behind it.
Senior technical consulting for organizations that need strategy, engineering, and delivery to stay connected.
Where engagements begin
Focused assessments with delivery paths
Cloud systems need architecture, modernization, or cost control
Insurance, audit, and customer reviews require credible proof
Security findings need prioritization and remediation
AI and automation need to become reliable operating workflows
Engagement model
Why ECG
The work sits where technology, risk, operations, and executive decision-making overlap. ECG brings the connected model of a serious consulting firm, with a smaller senior team and a shorter path from finding to execution.
Translate technical pressure into decisions leaders can approve and teams can execute.
Connect spend to ownership, architecture, reliability, deployment, and the changes required to sustain savings.
Organize the proof insurers, auditors, and customers need while closing the security and compliance gaps behind it.
Keep strategy, architecture, implementation, and handoff close enough that momentum survives the engagement.
Consulting services
ECG combines advisory, engineering, evidence readiness, remediation, and AI delivery for teams that need decisions to survive contact with implementation. The first engagement stays narrow enough to act on, with enough depth to continue when the findings reveal a larger system problem.
Cloud systems
Architecture, modernization, reliability, automation, and cost reduction treated as one operating problem. ECG can start with cloud savings, then continue into the engineering work needed to make those savings durable.
Compliance proof engine
ShieldPoint turns scattered proof into a working assessment system: frameworks, controls, questionnaires, evidence, gaps, POA&Ms, reports, and executive packets stay connected instead of living in screenshots and memory.
Continuously learning testing
Sentinel is ECG's authorized testing platform for recon, web, API, infrastructure, cloud, AI, and prompt-injection review. It learns from research, lab validation, and findings so each assessment gets sharper.
What happens next
Start with a bounded review: cloud cost, architecture, evidence, security posture, workflow, or platform risk. The goal is clarity before scope expands.
What happens next
Turn findings into a decision path: what lowers waste, what blocks trust, what creates risk, what can wait, and what requires engineering.
What happens next
ECG can implement the work, support your team through remediation, or hand off a clear backlog with enough context to keep moving.
Delivery depth
Cloud architecture, migration, modernization, infrastructure as code, reliability, automation, platform repair, and operational handoff across AWS, Azure, and Google Cloud.
Security assessment, hardening, exposure reduction, control alignment, audit preparation, cyber-insurance readiness, and the evidence work behind trust.
AI assistants, document workflows, internal tools, knowledge retrieval, operations automation, governance, and practical integration tied to measurable business work.
Platform planning for regulated markets where compliance, operations, inventory, finance, reporting, security, and delivery have to work together.
From diagnosis to delivery
Cloud waste often points back to architecture, ownership, or operating-model decisions. Evidence requests expose security and compliance gaps. Security findings force operational cleanup. AI workflows depend on the platform underneath them. ECG keeps those threads connected so the next step is practical, sequenced, and ready to move.
Senior cloud, security, compliance, and AI work is only useful when it lowers risk, clarifies the next move, and leaves your team with something durable.
The work is shaped by production systems, real traffic, cost pressure, security constraints, and teams that have to live with the result.
Cloud waste, architecture weakness, evidence gaps, security exposure, and automation pain often connect. ECG can follow the evidence without forcing the wrong engagement.
Chris has worked and taught at serious scale, but the point is not the resume. The point is cleaner decisions, fewer expensive wrong turns, and work that ships.
Cost optimization is treated as engineering work: rightsizing, demand-based scaling, cleanup, and design choices that lower spend without breaking reliability.
Straight answers for teams trying to decide whether ECG is the right fit.
No. Bring the business pressure: cloud cost, architecture, compliance evidence, security testing, AI workflow, or a platform that is not working cleanly. ECG will help identify the right starting point.
Yes. ECG can stop at an assessment if that is all you need, but the stronger model is review, decision path, implementation, remediation, or a clean handoff your team can execute.
Yes. ShieldPoint helps organize the controls, evidence, questionnaire answers, gaps, owners, reports, and remediation plan behind a cyber-insurance renewal, audit, customer review, or CMMC/NIST readiness effort.
Yes. Sentinel is positioned for scoped, authorized defensive testing. The point is to understand exposed surfaces, validate risk safely, rank findings, and turn results into remediation guidance.
Yes. Cloud spend is often a clean entry point because it exposes waste, drift, stale workloads, ownership gaps, rightsizing misses, and architecture decisions that need attention.
Yes. Most conversations should start with a bounded review: cost, architecture, evidence, security testing, AI workflow, or platform risk. Scope can expand only when the findings justify it.
Yes. ECG helps teams use AI in practical places: workflow automation, document processing, internal tools, customer-facing assistants, and governance around how those systems are used. The work starts with a real use case, not an AI demo for its own sake.
For most engagements, we can begin within 1-2 weeks. For urgent security assessments or incident response, we can often start sooner. Let us know your timeline and we'll be straight with you about what's realistic.
You get senior judgment close to the work. ECG keeps assessment, architecture, implementation, and handoff connected so recommendations do not become shelfware or a long dependency chain.
Yes. Many clients transition from project work to ongoing advisory relationships. We offer monthly retainers for continuous support, quarterly architecture reviews, and on-call arrangements for critical issues. The goal is a sustainable relationship, not a one-time transaction.
Absolutely. We adapt to your environment - whether that means working with your existing Terraform modules, integrating with your CI/CD pipelines, or following your change management processes. We're here to help, not to impose our preferred way of doing things.
We have hands-on experience across cloud environments spanning architecture design, security hardening, cost optimization, migration, automation, incident pressure, and production operations. The AWS background is deep, and ECG can also support Azure and Google Cloud when those are the systems in front of us.
Start the conversation
Start with the pressure you can name: cloud cost, architecture, cyber insurance evidence, compliance, security testing, remediation, AI automation, or a platform that needs senior technical execution. If you are not sure which lane fits, that is fine.