01Solutions 02Platform 03Results 04Engagements 05Insights 06Book a working session
The AI agent company for enterprise operations

Put AI agents
to work on cloud spend

Production-grade agents that cut waste, handle requests, and work within guardrails. Built by the Hopbyte team, running agents in production today.

Book a working session See it run

Start with one workflow. Keep control as it grows.

Built to operate / designed to be governedFind your first workflow
Trusted by
Enterprise engineering orgagentic platform in production Multi-account AWS estateone security program, org-wide Senior leadershipdirectors and heads of function Engineering teamsorg-wide tool adoption
01 The solution family

Solutions we build, run, and hand over.

Six agents and programs for enterprise operations. Each ships as a fixed-scope engagement, deploys in your cloud, and belongs to your team at handover.

Solution / 01

Sentinel

Security operations agent

Give your security team a queue it can act on and the evidence behind each recommendation. Sentinel brings findings into context and keeps response decisions with the people on call.

  • Triages and correlates alerts and findings
  • Detects IAM drift and risky permissions
  • Proposes response playbooks that wait for human approval
Runs inside
  • Splunk
  • Datadog
  • Security Hub
  • PagerDuty
  • Okta
Discuss Sentinel Learn more about Sentinel
Sentinel / alert queueIllustrative
  • HighPermission scope expandedIdentity / unexpected policy change01
  • MediumUnusual role activityAccess / related finding02
  • LowDuplicate findingCorrelation / grouped with source03

37 findings -> 3 actionable

Proposed action / human gate

Restore the scoped role policy

Review permission changes and approve the response playbook.

✓ Approved by on-call lead

Audit recorded: approver, decision, policy change.

Scoped access / recorded actions
Solution / 02

Provisioner

Infrastructure request agent

Turn infrastructure requests into a repeatable path from intake to verified change. Provisioner checks the plan against your policies and waits for approval before it provisions.

  • Turns requests into policy-checked plans
  • Provisions after approval
  • Verifies and records every change
Runs inside
  • AWS
  • Terraform
  • Kubernetes
  • GitHub
  • ServiceNow
Discuss Provisioner Learn more about Provisioner
Provisioner / request to resourceIllustrative
Infrastructure request

Create a staging environment

Environment
Staging
Size
Small
Owner
Platform team
  1. 01policy check
  2. 02plan
  3. 03approval
  4. 04apply
  5. 05verify
Provisioned resources
  • Kubernetes node group
  • Scoped service role
  • Audit record and owner tags

done in 4m 12s

Scoped access / recorded actions
Solution / 03

Ledger

Cloud cost governance agent

Make cloud waste visible and give your team a plan to remove it. Ledger pairs right-sizing and architecture recommendations with the governance that keeps approved changes in place.

  • Finds idle and oversized resources
  • Proposes right-sizing and architecture changes
  • Enforces policy so savings hold
Runs inside
  • AWS Organizations
  • Cost Explorer
  • Terraform
  • Slack
Discuss Ledger Learn more about Ledger
Ledger / spend reviewIllustrative
Monthly spend / relative trendAfter governance
Right-sizing plan
ResourceFindingProposal
ComputeOversizedResize
StorageIdle volumeArchive
Node poolExcess capacityScale to demand

automated governance keeps savings from drifting back

Scoped access / recorded actions
Solution / 04

Workbench

Collaboration workflow agents

Put agents where your engineers already ask questions and move work forward. Workbench handles requests across collaboration workflows and powers self-service developer portals your team owns.

  • Works inside chat, ticketing, and developer tools
  • Answers, drafts, and files work on request
  • Powers self-service developer portals
Runs inside
  • Slack
  • Microsoft Teams
  • Jira
  • GitHub
  • Backstage
Discuss Workbench Learn more about Workbench
Workbench / team workflowIllustrative
  1. Engineer / request

    Summarize the staging rollout notes and file a follow-up ticket.

  2. Workbench / drafted summary

    Staging rollout complete. Verification passed; the runbook needs the new rollback steps.

    Source: rollout notes / staging
  3. Created ticket

    Update the staging rollback runbook

    Owner: platform team
    Includes: drafted summary and source notes

✓ Filed in Jira

Scoped access / recorded actions
Solution / 05

Foundry

Fine-tuned open-weight models

Fit an open-weight model to your domain with a private deployment your team controls. Foundry tunes on your data and uses an evaluation suite to determine whether the model is ready for release.

  • Tunes open-weight models on your data
  • Hosts them privately in your VPC
  • Measures them against an evaluation suite before release
Runs inside
  • Amazon Bedrock
  • Hugging Face
  • vLLM
  • SageMaker
Discuss Foundry Learn more about Foundry
Foundry / model evaluationIllustrative
Private model / release candidate

Domain assistant

Open weights. Your data. Your evaluation suite.

Hosted in your VPC
BaselineTuned
Domain fit
Task completion
Policy adherence
Response format

Illustrative comparison only. Release decisions use your evaluation suite.

Scoped access / recorded actions
Solution / 06

Briefing

Leadership AI enablement

Give leadership a shared basis for deciding where agents belong. Briefing combines a half-day executive workshop with an adoption plan and mentoring grounded in your team's work.

  • Half-day executive workshop
  • Decision framework for where agents belong
  • 30-day adoption plan and mentoring
Runs inside
  • Boardroom, not a tool
Discuss Briefing Learn more about Briefing
Briefing / half-day workshopIllustrative
  1. 09:00

    Orient

    What agents can do and where people decide.

  2. 10:00

    Map

    Workflows, data boundaries, and risk.

  3. 11:00

    Decide

    Apply a framework to your use cases.

  4. 12:00

    Plan

    Agree the next 30 days and owners.

Leave with
  • Decision framework
  • 30-day plan
Scoped access / recorded actions
02 Platform standard

The standard every solution runs on.

Hopbyte Agent Runtime

Our shared operating standard across the solution family. We do not ship an agent without it.

  1. 01

    Connectors

    Connect the cloud and tools your team already uses.

  2. 02

    Policy (least privilege)

    Give each tool only the access its task requires.

  3. 03

    Agents

    Carry out the workflow within a defined scope.

  4. 04

    Approval gates

    Pause sensitive actions for a human decision.

  5. 05

    Evaluation suites

    Check expected behavior before production.

  6. 06

    Audit ledger and cost ceilings

    Record every action and constrain what each run can spend.

One operating standard.
Built into every engagement.

  • Least-privilege IAM
  • Audit trails
  • Human approval gates
  • Evaluation suites
  • Cost ceilings
03 / Production evidence

Results from production.

Cloud efficiency
$1.7M+Cloud spend eliminated through right-sizing, architecture redesign, and automated governance
Engineering adoption
100%Org-wide adoption of in-house tools that replaced paid SaaS
Cloud security
Multi-accountAWS Organization secured under one IAM and vulnerability program
Agent systems
In productionAgents used daily in enterprise collaboration workflows

Delivered by Hopbyte's team inside enterprise production environments. Details under NDA.

“Every agent we ship starts read-only, earns each permission, and is measured against an evaluation suite before it touches production.”
Hopbyte operating standard
04 Our operating belief

Agents should earn trust, not assume it.

Trust comes from clear limits and evidence you can inspect. Every agent ships with these five guardrails, so your team can see what it did, approve what comes next, and keep control.

  • Least-privilege IAM

    Each agent gets only the permissions its tools need.

  • Audit trails

    Every action leaves a record your team can inspect.

  • Human approval gates

    Sensitive actions wait for an accountable decision.

  • Evaluation suites

    Test the agent against expected behavior before production.

  • Cost ceilings

    Set a budget that constrains what the agent can spend.

Permission / evaluation / control
05 Engagements

Start with a fixed scope.

One clear engagement, with deliverables your team can use. Agree the scope and fee before the work starts.

02 / EngagementScoped quote

Agent Pilot

6 weeks

You get
  • One agent in one workflow in production
  • Evaluation suite, approval gates and observability
  • Handover to your team
Book this Agent Pilot
04 / EngagementScoped quote

Executive AI Workshop

Half day

You get
  • Responsible adoption briefing for directors and heads of function
  • Decision framework
  • 30-day plan
Book this Executive AI Workshop
06 How it works

From workflow to working agent.

A disciplined path from problem to production, with security and evaluation built into every step.

Step 01

Discover

Map the workflows, data, risk surface, and the decisions an agent will be allowed to make.

Step 02

Design

Agent architecture, tool boundaries, guardrails, and an evaluation suite that defines what good looks like.

Step 03

Deploy

Production integration with the tools your teams use, observability, and rollout that earns trust.

Step 04

Govern

Security posture, cost ceilings, and continuous evaluation so the system stays safe as it scales.

07 Capabilities

The engineering behind the solutions.

Explore the scope and delivery approach for each practice.

01

Enterprise AI Agents

Agents inside collaboration and developer workflows.

02

AI Agents for Cybersecurity

Alert triage, IAM drift, and governed response.

03

Fine-Tuned Open-Weight Models

Domain tuning, private hosting, and evaluations.

04

Network and Cloud Automation

Policy-checked infrastructure and self-service.

05

Cloud Security and Governance

IAM, vulnerability management, and cost governance.

06

AI Enablement for Leadership

Workshops and mentoring for responsible adoption.

08 Field notes

Read the operating notes.

All insights
09 FAQ

Straight answers.

Q.01What does Hopbyte build?

Hopbyte designs and ships production AI agents for enterprise workflows, AI-driven cybersecurity, fine-tuned open-weight models, and cloud and network automation, with the security and governance to run them safely.

Q.02How are AI agents kept safe in production?

Every agent ships with least-privilege IAM, full audit trails, human approval gates for sensitive actions, evaluation suites, and cost ceilings. Security posture is designed in from day one, not bolted on.

Q.03Can you work inside our existing cloud and tools?

Yes. Agents are embedded into the collaboration, ticketing, and developer tools your teams already use, and models can be hosted inside your own cloud environment.

Q.04Do you offer AI training for leadership teams?

Yes. Hopbyte runs workshops and one-on-one mentoring for Director-level and Head-of-function leaders on responsible, effective AI adoption in their domains.

Q.05How are engagements priced?

Fixed fee for defined scopes, scoped quote otherwise. The fee is agreed before work starts.

Q.06Who owns the code and the agents?

The client owns the code and the agents. Handover is part of every engagement.

Q.07Where do the agents run?

Inside the client's cloud and tools. Nothing leaves your environment without your say.

Q.08How do you handle security review?

Least-privilege access from day one, audit trails, human approval gates, and an evaluation suite before production. We expect and welcome your security team's review.

A practical first step

Bring one workflow.
Leave with a plan.

Book a working session

Talk scope, guardrails, and what good looks like.

10 Contact

Let's build something that runs.

Tell us about the workflow, the risk, or the idea. You will hear back from the Hopbyte team.

info@hopbyte.net Alpharetta, Georgia / Working with teams everywhere

No newsletters, no spam. Your details are used only to reply to you.

About Hopbyte

Hopbyte is an AI agent engineering company based in Alpharetta, Georgia. We build, run, and hand over production agents for enterprise operations teams.