Platform engineering · DevOps · SRE · DXSeries A–C · 20–200 engineers
We deliver platform engineering.Your team keeps it.
Deploys bottlenecked through the same two engineers. New hires taking four weeks to reach their first production commit. The platform team buried in a ticket queue instead of building. We diagnose what is slowing you down and put the fix in your team's hands.
Scoped. Time-boxed. Priced for director-level approval.
Just exploring? See how the methodology works
Why platform engineering engagements fail
Five patterns we see before a team calls us
The methodology deck
You paid for six months of consulting. You received a Confluence space, a YAML repository, and a process document. Three months after the engagement closed, your team can not explain what was built or why it was built that way.
The bypassed platform
Your internal developer platform launched on time. Within two weeks, half your developers had found three workarounds. The platform team now maintains both the platform and the workarounds.
The knowledge exit
The consultants built something that works. Then they left. Your team is now maintaining a system they did not design, can not fully explain, and are afraid to change.
The AI non-event
You rolled out Copilot, Cursor, and two AI code review tools. Six months later, your deployment frequency is unchanged. Nobody can tell whether the tools helped or made things worse.
The ticket queue
Your platform team has forty open requests. They are not building the platform — they are managing a support queue. The teams they were supposed to serve are slower than before the platform team existed.
What Clouditive does not do
We don't build your product. We build the platform your product ships on.
We don't write code your team can't maintain. Every engagement closes with documented runbooks and a knowledge transfer session.
We don't sell ongoing retainers as the default. Every engagement has a defined end date, a defined scope, and named deliverables.
We don't recommend tools we're paid to sell. The Foundations Framework runs on your choice of infrastructure.
How we work
Five ways to engage. One method.
Every engagement is scoped, time boxed, and sized for director level approval. No discovery decks billed as work. No retainers disguised as projects.
Client outcomes
The methodology in practice
Three anonymized engagements. Different industries, different team sizes, same sequenced approach.
HealthTech
~50 engineers
~$1M annual cloud savings
- →70% improvement in deployment frequency
- →Onboarding 3 weeks → 5 days to first production deploy
Two and a half year sequenced engagement. Cloud cost and team consolidation.
Payments fintech
~20 engineers
Monthly releases → per-sprint releases
- →Sustained 12-month practice, not a one-off
- →C-level DORA dashboards the CTO trusts without re-deriving numbers
Measurement gaps fixed first. Tooling changed after.
Auto insurance
~120 engineers, 20 teams
Platform consultation tickets −60%
- →Onboarding 3–4 weeks → 5 days to first independent deploy
- →20 teams on 5 golden paths within one year
Self-sufficiency culture. Twenty different operating models. One platform fixed both.
Sources: Foundations Framework v3.0 (CC BY 4.0). All engagements anonymized by agreement.
Authored by
Mat Caniglia. Founder and CEO of Clouditive.
Eighteen years of platform engineering, DevOps, SRE, and Developer Experience field work across the United States, Europe, and Latin America. The Foundations Framework is the synthesis of that work. A method that runs every Clouditive engagement and the first to formalize how AI agents enter your platform.
Who we work with
Three engineering profiles. One methodology.
Enterprise engineering leaders
You run an engineering organization in a regulated or complex industry. Your platform team is under pressure to show results and demonstrate AI readiness. Every engagement so far shipped tools without transferring ownership. You need a partner who delivers capabilities your team runs independently after roll off.
US consulting firms
You win engagements that require platform engineering delivery. You do not have the nearshore capacity or the methodology behind it. When you bring Clouditive in, you are not buying developers in Uruguay. You are buying a method you can co present to your end client as a differentiator.
White label partners co brand the Foundations Framework when delivering to their own clients. The method travels with the engineers.
Growth-stage
Series A–C engineering leaders
20 to 200 engineers. The team that outgrew the founder's setup but hasn't yet built the platform that makes the next 100 hires productive. We help you skip the three-year accumulation cycle.
- First DORA baseline in the first week
- Platform built for team growth, not team size today
- Roadmap your next engineering hire inherits, not rebuilds
The Foundations Framework
A method by Clouditive. Not a methodology deck.
Every Clouditive engagement runs the same structured sequence. Your team sees what gets built in each phase, who owns it, and what success looks like before we start.
The first PE method designed for the three persona platform user. Human developer. AI agent. Hybrid collaborator. The detailed operating manual is reserved for engagement.
Five lifecycle phases
Horizon
Blueprint
Forge
Sustain
Ascend
Five capability pillars
Delivery Reliability
Ship with confidence. Recover fast.
Signal Integrity
Measure what moved. Not what was easy.
Cognitive Absorption
Platform absorbs the load. Developers ship.
Security and Compliance by Default
Security as a property. Not a checklist.
Operational Accountability
Ownership distributed. Not concentrated.
The AI era reframe
AI is an amplifier.
Your platform decides which curve.
AI is an amplifier. Platforms with strong delivery foundations gain code quality. Weak ones lose stability. The 2024 DORA report measured a 7.2 percent stability decrease on weak platforms. The Foundations Framework is how you build the healthy system first, then earn the AI dividend on top.
On platforms with strong delivery foundations. DORA 2025 (State of AI-assisted Software Development).
AI on weak delivery systems. DORA 2024.
Across surveyed engineering teams. Stack Overflow Developer Survey 2025.
AI consultancies sell the tool. Clouditive measures whether the tool works. Throughput quality coupling, cognitive offload, AI agent observability, decision quality preservation. Four signals every Foundations engagement tracks.
Sources. DORA 2024 State of DevOps Report (7.2% stability decrease). Stack Overflow Developer Survey 2025. State of AI in Platform Engineering 2025.
What we measure in the AI era
The AI productivity paradox is real. We measure it.
Four signals every Foundations engagement tracks. Baselined in Horizon, designed against in Blueprint, verified in Ascend. Zero vanity metrics.
Throughput quality coupling
DORA 2024Are you shipping more, or shipping faster while quality slips? The 2024 DORA report found AI cuts delivery stability 7.2 percent on weak platforms. Platforms with strong delivery foundations see code quality improvements. We measure both, decoupled.
Cognitive offload
Cognitive Absorption pillarHow much complexity does the platform absorb on behalf of the developer. Three signals: time to first context switch, paved road compliance under pressure, decision count per production change.
AI agent observability
Three persona platform userWhat percent of your deploys originate from AI agents. What percent of your incidents trace to agent generated changes. If you cannot answer, you do not have a platform. You have a dependency.
Decision quality preservation
Foundations Framework Principle 03AI accelerates decisions. Most teams stop evaluating whether the decisions are still right. We track decision rework rate, incident pattern shift, and senior engineer review time post AI adoption.
Sources. DORA 2025 (State of AI-assisted Software Development). Foundations Framework (Caniglia, 2026). State of Platform Engineering Vol 4 (PlatformEngineering.org, January 2026).
Start here
See where your delivery stands.
A fifteen minute self-diagnostic that scores your platform across DORA metrics, deployment frequency, change failure rate, and cognitive load. No sales call required.
Want to read first? See the Foundations Framework