Cloud, Security & AI Consulting

Rive AI & Cloud Solutions

We build the AWS infrastructure, security controls, and AI automation your team doesn't have bandwidth to figure out.

We help growing teams make better technology decisions, reduce operational and compliance risk, and automate repetitive workflows — using AWS and AI with clear delivery guardrails.

For regulated and operations-heavy teams running on AWS.

40% cloud cost reductionAI automation in productionAWS Security SpecialtyAWS Solutions ArchitectHIPAA, SOC & ISO alignmentDirect consultant — no layers

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AWSAnthropicOpenAILambdaS3ECSBedrockSageMakerTerraformCloudFrontGuardDutyAWS MacieAmazon QEC2
AWSAnthropicOpenAILambdaS3ECSBedrockSageMakerTerraformCloudFrontGuardDutyAWS MacieAmazon QEC2

Where We Help Most

Cloud foundations, security and compliance readiness, and AI-assisted automation — shaped by how your team actually operates.

Cloud Foundations & Growth Planning

Clarify the systems, priorities, and architecture decisions that need to scale with the business — grounded in AWS best practices and shaped by how your team actually operates.

  • Current-state review and architecture assessment
  • Roadmap for infrastructure, ownership, and next steps
  • Recommendations shaped by reliability, cost, and team capacity

Security, Risk & Compliance Readiness

Reduce operational and compliance risk with security controls, monitoring, and governance patterns — designed for teams under HIPAA, SOC, or ISO pressure who need working controls, not just documentation.

  • Access, identity, and data protection review
  • Monitoring, detection, and response priorities
  • Evidence workflows and controls aligned to client requirements

AI & Workflow Automation

Take repetitive work off your team with AI-assisted automation that stays reviewable, traceable, and useful to the people doing the work.

  • Process discovery and opportunity prioritization
  • AI-assisted automation with clear review and approval steps
  • Rollout plans that fit existing tools and team capacity

AI Agents for Real Work

We design secure, fully customized AI agents that take on real operational work, create measurable business impact, and solve company-specific workflow problems without giving up control.

Real Business Tasks

Agents should remove real operational drag by handling repeatable work that teams would otherwise manage by hand.

  • Intake and request capture
  • Triage and routing across teams
  • Follow-up and repetitive coordination
  • Operational work tied to measurable impact

Customized to Your Company

Every deployment is shaped around the systems, approvals, and operating rules your company already depends on.

  • Built around existing tools
  • Approval flows that match your team
  • Data boundaries and business rules
  • Workflows tailored to how the company operates

Secure by Design

Security controls are part of the implementation from the start so agent behavior stays reviewable and contained.

  • Scoped permissions and controlled access
  • Human review gates for critical actions
  • Traceability across decisions and outputs
  • Auditability and controlled deployment

Selected Engagements

Examples of how we help teams strengthen foundations, reduce risk, and automate high-value workflows.

Security, Risk & Compliance Readiness

Cloud Governance Baseline

Required controls, logging, and evidence collection across AWS accounts were inconsistent and difficult to scale without adding operational drag.

Business Result

The team left with a repeatable baseline for logging, patch management, and audit evidence collection across AWS accounts, reducing one-off prep work and making governance reviews easier to repeat.

  • Multi-account AWS governance
  • Terraform modules and repeatable guardrails
  • Baseline logging and evidence workflows
AI Workflow Automation for Finance Ops

CostPilot

Receipt handling and approvals were spread across manual steps, slowing reconciliation and limiting visibility into spend.

Business Result

Receipt intake, extraction, approvals, and reporting moved into a single reviewable workflow, giving finance operations better visibility and far less spreadsheet-heavy follow-up.

  • AI-assisted extraction with fallback validation
  • Multi-tenant architecture and data boundaries
  • Approval workflow design
Healthcare Operations Workflow

Revolution Aligners

Case coordination depended on disconnected channels, creating handoff friction, visibility gaps, and regulatory pressure.

Business Result

Case coordination moved into a seven-stage operating workflow with clearer handoffs, stronger traceability, and more reliable follow-up across email and WhatsApp.

  • Seven-stage workflow orchestration
  • Traceable activity and document handling
  • Cross-channel notifications

Why Teams Bring Us In

Direct support from the person shaping the architecture, the controls, and the automation — not a separate delivery layer.

Why It Matters

Direct Access, No Layers

You work directly with the person assessing tradeoffs, shaping the architecture, and implementing the work — not a separate delivery team.

Why It Matters

Decisions Grounded in Real Tradeoffs

Recommendations shaped by cost, reliability, risk, and team capacity — informed by hands-on AWS and AI experience, not just frameworks.

Why It Matters

AI That Supports Operations

Automation built with data boundaries, human review points, and operating guardrails — so AI improves delivery without adding uncontrolled risk.

Working Style

Built for teams that need implementation, not theater.

  • Architecture, security, and automation decisions made together from the start
  • Experience supporting regulated and operations-heavy teams
  • Documentation and next-step priorities your team can keep using

Tools & Platforms

The infrastructure, security, and automation stack behind the work we deliver.

Cloud Infrastructure

EC2EC2
LambdaLambda
S3S3
ECSECS
CloudFrontCloudFront
RDSRDS

Security & Compliance

IAMIAM
GuardDutyGuardDuty
Security HubSecurity Hub
ConfigConfig
KMSKMS
CloudTrailCloudTrail

AI & Automation

BedrockBedrock
SageMakerSageMaker
OpenAIOpenAI
AWS MacieAWS Macie
TerraformTerraform
Amazon QAmazon Q

How Engagements Run

A direct engagement model from discovery through implementation.

  1. 1

    Discover

    We start with what is changing in the business, your current technical setup, and the decisions that need to hold up over time.

    Start a Conversation
  2. 2

    Prioritize

    We identify the highest-leverage work first — whether that is architecture, security foundations, compliance readiness, or workflow automation.

    See How It Works
  3. 3

    Implement

    We deliver the changes directly — architecture, controls, automation — with documentation your team can actually use.

    View Past Work

Ready to start?

Bring your next technology decision into focus.

Start with a direct conversation about the cloud foundations, security priorities, or workflow automation your team needs next.