Controlled first proof and upgrade path.
AI agent bundles for cloud and IT teams.
Productized entry points for agent security, ops workflows, coding guardrails and cloud governance. Start free, move to the flagship bundle, or stay fixed-scope with an implementation sprint.
Security, rollout, logging and fallback.
Fixed scope when evidence says yes.
Scroll through the AI network: the signal resolves from the free kit into the flagship bundle and implementation sprint.
Bundle lineup
Show quickly which bundle solves the problem first.
Every buyer needs different proof. The homepage routes security, ops, DevOps and governance teams into different entry points, but always toward a concrete product in the Store.
Review the agent before rollout.
Tool permissions, prompt injection checks, rollout workflow, logging and incident response before an agent touches production systems.
Open MCP bundle →Stabilize the operating layer.
Incident analysis, evidence collection, DNS, AD, GPO and cleaner support handoffs for busy IT teams.
Open Windows path →Guardrails for AI-assisted delivery.
Make AI coding safer across CI/CD, PR review, Terraform and release workflows.
Open coding bundle →Bring AI workloads under governance.
Landing zones, policy baselines, identity, networking and budget guardrails for cloud teams.
Open governance kit →Free kit → flagship bundle → implementation
Pick the smallest step that gives you real evidence.
A larger programme only makes sense after proof. The first step is simple: free kit, flagship bundle, specialist starter pack or implementation sprint.
AI IT Ops Quickstart Kit - Free
A low-friction entry for teams that are not ready for a call yet. You get prompts, workflows, safety docs and a clear path into a paid starter system.
- safe AI workflow testing
- ticket triage, logs and runbooks
- upgrade path to paid bundles
MCP Security & AI Agent Ops Starter Kit
A flagship bundle for teams that need to define tool permissions, prompt injection checks, rollout workflow and incident response before production.
- permission matrix and risk register
- incident response and support boundaries
- clear next step into sprint or retainers
AI Coding Bundle for Devs & DevOps
For teams that want to use AI more safely in code review, CI/CD, GitHub Actions and Terraform work.
- code review and PR summaries
- CI/CD and IaC guardrails
- safer AI-assisted delivery
Azure AI Landing Zone Governance Kit
For Azure teams onboarding AI workloads with policy baselines, private networking, identity and reviewable governance controls.
- policy and budget guardrails
- landing zone review and handoff
- AI workload governance structure
Decision-first delivery
After the first step, the buyer should know whether to buy more or stop.
Every bundle ends with a decision that can be justified internally: numbers, risks, priority, proposed owner and next investment.
Scope buyers can approve
Fixed entry, clear price, limited scope. No open-ended discovery that turns into endless consulting.
Proof for security and ops
Permission matrix, logging, incident flow, handoff notes and reviewable evidence. The output is working evidence, not just slides.
Next step without pressure
Move into sprint, operations takeover, governance or AI pilot. The decision is explicit.
Buyer routes
Pick the problem. Get a concrete next step, not a generic call.
Each path has a defined output: starter kit, rollout decision, upgrade path or implementation sprint. That makes the buying decision easier to justify internally.
Need to control agent rollout before production?
For teams that need permissions, logging, fallback and review structure before agents touch live systems.
- MCP Security & AI Agent Ops Starter Kit
- AI IT Ops Quickstart Kit - Free
- risk register and rollout workflow
Need cleaner handoffs and faster evidence?
For support and infrastructure teams that need better notes, triage, incident analysis and day-to-day admin workflows.
- AI Sysadmin Starter Pack
- AI IT Ops Quickstart Kit - Free
- ticket triage and incident summary workflows
Need safer AI-assisted delivery?
For teams that want better PR review, CI/CD guardrails and more consistent repo instructions before scaling AI coding.
- AI Coding Bundle for Devs & DevOps
- prompt injection review for developer workflows
- Terraform and CI/CD guardrails
Need an AI landing zone with guardrails?
For platform teams onboarding Azure or cloud governance work that needs policy, networking and reviewability from day one.
- Azure AI Landing Zone Governance Kit
- GCP / cloud governance kits
- identity, networking and budget guardrails
Implementation sprints when the bundle is not enough
The traffic already shows intent. So the bundle system is no longer just a content topic on the homepage. It is a commercial offer with a defined output, timeline and path into delivery.
AI Agent Security Sprint
1–2 weeks to select permissions, logging, review steps and fallback logic. The goal is to decide what is safe to roll out first.
- permission matrix and risk baseline
- reviewable incident and support flow
- 8-week rollout roadmap
AI Sysadmin Sprint
4–6 weeks for the first working workflow on support, incident notes, AD, DNS or runbooks. The sprint is measurable and ready for stakeholder review.
- support handoff and evidence flow
- triage automation and summary workflow
- demo with clear operational metrics
Cloud Governance Sprint
6–10 weeks for governance work that can handle production traffic, audit and budget pressure. Includes observability, runbooks and an ownership model.
- Azure, GCP or AWS governance baseline
- quality, cost and incident monitoring
- handover or follow-on implementation
Cloud Pulse
What is happening on the cloud market: AWS, Azure and Google Cloud
Daily overview of release notes, pricing changes, security advisories and roadmap signals across AWS, Microsoft Azure and Google Cloud Platform.
Cloud Pulse aggregates official cloud release notes and highlights the most relevant updates for architecture, security, operations and cost control.
AWS security release notes and networking updates
We track security advisories, patching and governance changes that can impact enterprise production workloads.
Azure pricing and platform updates
We monitor pricing updates, roadmap shifts and service launches to keep planning and budgeting aligned.
Google Cloud launches, deprecations and AI services
Cloud Pulse filters GCP release notes into practical engineering actions for operations and architecture teams.
Proof tied to the bundle ladder
We only show proof that affects purchase decisions: security, ops, coding and governance. Each block points to a store entry.
Controlled agent rollout without chaos
Tool permissions, prompt injection checks, logging and incident response before an agent touches production systems.
- 1 flagship bundle
- 24h reply window
- Shopify checkout
Faster evidence and handoffs for Windows and ops teams
Incident analysis, triage cleanup, documentation support and a better day-to-day workflow for busy IT teams.
- 6 helper scripts
- triage workflow
- runbook cleanup
Safer AI-assisted delivery
Guardrails for code review, CI/CD, GitHub Actions, GitLab CI and IaC so AI speeds up work without cleanup.
- 30 prompts
- CI/CD guardrails
- IaC review flow
How to read these references: client names and internal runbooks are shared only in a qualified call. On the public site we keep anonymized scenarios with a clear proof point and next step in the funnel.
What happens after a bundle click
The first step is the free kit. If it makes sense, the buyer moves to the flagship bundle and only then to an implementation sprint. No open scope without evidence.
- Free kit as the controlled first proof
- Flagship bundle as the main product entry
- Implementation sprint only when a custom rollout is needed
Every bundle has a clear output
- Prompts, scripts and templates instead of broad promises
- Permission matrix, logging and review flow
- Decision on whether to continue into a sprint or stop the scope
- Store checkout that leads to the next step without extra handoff
Bundles ready to buy
These are not broad topics. Each slide is a product entry point or sprint path.
What to open first
These entry points have the fastest path to purchase or the next consultation. Each card links to a concrete Store product.
AI IT Ops Quickstart Kit - Free
Safe first workflow, quick test of prompts and the clearest upgrade path to paid bundles.
Open free kit → Flagship bundleMCP Security & AI Agent Ops Starter Kit
Permissions, logging, rollout workflow and incident response before AI agents go live.
Open flagship bundle → Ops bundleAI Sysadmin Starter Pack
Cleaner triage, evidence collection and handoffs for support and infrastructure teams.
Open ops bundle → Coding bundleAI Coding Bundle for Devs & DevOps
Guardrails for PR review, CI/CD and IaC work so AI speeds up delivery safely.
Open coding bundle → Governance kitAzure AI Landing Zone Governance Kit
Policy baselines, private networking and AI workload governance for Azure teams.
Open governance kit → SprintImplementation sprint
Fixed-scope rollout when the bundle is right but the team needs custom delivery and handoff work.
See sprint options →Why Cloudpeakify
Engineering-first partner turning cloud expertise into productized AI bundles with measurable impact.
Productized rollouts
Fixed-scope bundles with clear outputs, not open-ended consulting.
Evidence in 14 days
Every kit ships with action steps, review points and a next-step decision.
Platform run by engineers
Prompts, scripts and workflows instead of vague AI promises.
Production-ready AI controls
Permissions, logging, review and governance before rollout.
What we deliver in bundles
Beyond concepts – each bundle ships with a measurable workflow, clear boundaries and a next-step path.
One storefront, one narrative, three buying levels
Homepage, product pages and blog posts all point to the same checkout path: free kit, flagship bundle and implementation sprint only when the evidence supports it.
- Store pages and content all reinforce the same offer ladder
- Every bundle has a clear default next step
- Sprint appears only after the buyer has evidence, not before
Free kit → flagship bundle
Low-risk entry that proves the workflow and creates the purchase path.
Bundle pages + proof
Product pages, blog posts and proof sections all reinforce the same offer ladder.
Sprint only when needed
If the buyer needs custom work, the sprint is a controlled extension of the bundle, not a new narrative.
Beyond the bundle ladder, we still take fixed-scope implementation work.
If your environment needs custom rollout or a deeper handoff, we can scope a sprint that stays aligned with the flagship bundle and the store logic.
Custom delivery examples
When a bundle is not enough, we keep the work fixed-scope, practical and tied to a clear outcome.
AI Agent Security Sprint
Tool permissions, approvals, fallback, logging and incident response for one concrete team environment.
- permission matrix and escalation path
- logging and review workflow
- implementation handoff
AI Sysadmin Sprint
Support handoff, triage automation, runbook cleanup and evidence flow for busy IT and Windows teams.
- ticket triage and incident summaries
- support handoff cleanup
- runbook and evidence structure
Cloud Governance Sprint
Azure, GCP or AWS governance baseline, observability and ownership model for production use.
- policy and budget guardrails
- monitoring quality and incident flow
- handover or follow-on implementation
Bundle launch in numbers
These metrics tie directly to the new product ladder and show what is live now and how quickly the offer can expand.
4
Product lines live across AI agents, ops, coding and governance.
View the Store1
Flagship bundle that anchors the full offer ladder.
Flagship bundle24h
Reply window for paid inquiries and implementation calls.
ContactWhat every bundle delivers
We prioritise initiatives with the fastest impact. Every bundle has clear milestones so both executives and delivery teams see value in the first month.
Controlled rollout for AI agents
Tool permissions, approvals, logging, fallback and incident response before rollout.
- Permission matrix
- Support boundary and escalation path
- Reviewable rollout workflow
Cleaner handoffs and faster support
Incident analysis, evidence collection, ticket triage and better runbook creation for busy teams.
- Support notes cleanup
- Runbook drafting
- Evidence-ready handoffs
Safer AI-assisted delivery
Code review, PR summaries, CI/CD guardrails and IaC checks that reduce cleanup later.
- Repo instructions for AI tools
- Terraform and CI/CD guardrails
- Prompt injection review
Cloud and AI workloads under control
Identity, networking, policy, budget guardrails and a handoff model that teams can actually run.
- Landing zone review
- Budget and policy structure
- Implementation path into sprint or retainer
Custom delivery after the bundle checkout
If a bundle proves the problem, we can continue with a fixed-scope sprint or retainer. Every solution is designed to be feasible, scalable and financially sound.
Rollout, permissions and incident flow
We define the controls around tool access, approvals, logging and fallback before agents reach production.
- Permission matrix
- Prompt injection review
- Human fallback and support boundary
Triage, notes and handoffs
We clean up support notes, evidence collection and runbook creation so teams can move faster.
- Ticket triage
- Incident summaries
- Runbook drafting
Guardrails for AI-assisted delivery
We help teams use AI in code review, CI/CD and IaC work without losing review quality or control.
- Repo instructions for AI tools
- PR review and summaries
- Terraform and CI/CD checks
Landing zones, policy and budget control
We keep Azure, GCP or AWS AI workloads reviewable with identity, networking and budget guardrails.
- Landing zone review
- Policy and identity baseline
- Governance handoff
Custom rollout on top of the bundle
When the bundle proves the problem, we move into a fixed-scope sprint for your exact workflow.
- Dedicated rollout plan
- Team enablement and handover
- Option to continue into retainer
Stora Enso: secure cloud transformation at scale
In 12 weeks we helped Stora Enso move core apps to Google Cloud – including security redesign, deployment automation and operating guardrails.
- Zero-downtime cutover (Stora Enso)
- 42% reduction in operating costs (Stora Enso)
- End-to-end observability & incident response (TietoEvry & other clients)
Innovation workshop
We validate priorities, uncover risks and design a high-level architecture.
Engineering sprints
We deliver iteratively – IaC, pipelines, security and operating model.
Adopt & operate
We transfer knowledge, train teams and support implementation sprints with a clear handoff.
What clients say
We embed with your team, bringing enterprise experience and startup agility to every engagement.
“Cloudpeakify designed our entire data platform on GCP. Thanks to their delivery we now have a single environment for reporting, predictive models and realtime monitoring. The project was delivered on time with crystal-clear documentation.”Head of Data & Analytics, European retailer
Worked with Cloudpeakify? Share your public feedback on Firmy.cz, Trustpilot or Clutch.
Meet the team
Cloudpeakify runs with a core architecture team and a vetted partner network for security, data and implementation delivery.
Richard Skacel
Cloud Solutions Architect with 15+ years in enterprise IT and direct ownership of critical migration and operating programs.
Cloud, AI and delivery engineering
Hands-on team for platform engineering, CI/CD, observability, incident response and AI bundle governance.
- Google Cloud, Azure and hybrid infrastructure backgrounds
- SLA-based operations and reporting model
- Security and compliance guardrails from day one
Public trust signals
Public reviews and references are available on Trustpilot, Clutch and Firmy.cz. Standards we align to: ITIL, NIST and CIS Controls.
As seen on & ecosystem
Public ratings are available on Trustpilot, Clutch and Firmy.cz. Daily delivery stack:
Google Cloud delivery
Azure enterprise workloads
AI rollout programs
Reference environments: Stora Enso, Tietoevry, NNIT and other enterprise teams across CZ and EMEA.
Cloudpeakify has delivered projects for 80+ customers and teams served.
Run cloud delivery without operations chaos
We take ownership of critical technical areas so client teams can run stable operations and ship faster.
Technical partner for enterprise transformation
We connect operations, DevOps, AI and security into one execution model that remains sustainable at scale.
Ownership, transparent communication, measurable outcomes
Each sprint ends with concrete output. We prioritize first-hand engineering practice and accountability.
Pick the first bundle and we will send the next step.
If you want the lowest-risk entry, start with the free kit. If you already know the problem is agent security, ops or cloud governance, buy the specific bundle and we move straight to the output.