How it works

How Zof works: one closed control loop.

Change, Understand, Verify, Evidence, Authorize, Execute, Observe. Every consequential action moves through the same loop, whether it comes from a developer, a coding agent, or an autonomous system.

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Understand consequenceVerify and record evidenceAuthorize and control execution
The control loop

From a proposed change to a recorded outcome.

Zof understands what changed, decides what must be proven, records the evidence, applies policy, controls execution, and watches what happened. The last stage feeds the first, so every decision starts from what actually happened.

Closed control loopStage 01 of 07
01Handled byAny proposer

Change

A developer, a coding agent, or an automation proposes a change: a pull request, a configuration edit, a migration, a deployment.

See where changes come from
Advances on its own. Hover or focus to pause.
Stage by stage

What each stage consumes and produces.

Each stage produces something the next relies on. Read it as a contract between the stages rather than a pipeline of tools: if a stage cannot produce its output, the loop does not continue.

  1. 01Change
    Consumes

    A developer, a coding agent, or an automation proposing an action

    Produces

    A proposed action with an author and a diff: a pull request, a configuration edit, a migration, or a deployment

    ComponentAny proposer
  2. 02Understand
    Consumes

    The proposed change, resolved against the System Graph

    Produces

    The blast radius: affected services, data, policies, owners, and history

    ComponentSystem Graph
  3. 03Verify
    Consumes

    The blast radius and the policies that apply to it

    Produces

    Verification results across the evidence this change requires

    ComponentVerification Engine
  4. 04Evidence
    Consumes

    Verification results, traces, policy evaluations, and approvals

    Produces

    A sealed evidence bundle with provenance

    ComponentEvidence bundle
  5. 05Authorize
    Consumes

    Change, system context, risk, evidence, and enterprise policy

    Produces

    An enforceable decision: allow, deny, require evidence, or require approval

    ComponentControl Plane
  6. 06Execute
    Consumes

    The decision, carried to where the action actually happens

    Produces

    An action that runs only with its decision attached, or does not run at all

    ComponentControl Plane
  7. 07Observe
    Consumes

    Production signals after the action runs

    Produces

    The outcome, recorded against the change in the System Graph

    ComponentSystem Graph
Four components

One loop, four components.

Each stage is handled by a part of the platform you can inspect on its own. Together they form the independent verification and control layer between AI and production.

02 Understand · 07 Observe

System Graph

Machine-readable understanding of the enterprise and the consequence of change.

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03 Verify

AI এজেন্ট ফ্রেমওয়ার্ক

Decides what must be proven for each change, then proves it with deterministic tools, verification systems, and approved models.

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04 Evidence

প্রমাণ

কী বদলেছে, কী যাচাই হয়েছে, কে অনুমোদন দিয়েছে এবং এরপর কী ঘটেছে, তার টেকসই প্রমাণ।

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05 Authorize · 06 Execute

Control Plane

নীতি সিদ্ধান্ত নেয় পরিণতিপূর্ণ কাজগুলো এগোতে পারবে কি না: অনুমতি, প্রত্যাখ্যান, প্রমাণ দাবি, অথবা অনুমোদন দাবি।

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Beyond testing

How Zof differs from testing alone.

Testing is where most teams start with Zof. The loop is what makes a test result worth acting on.

প্রচলিতZof-এর সঙ্গে
Tests assert
Evidence proves

A passing test is a claim. Zof records what was verified, by what, and under which policy.

নির্দিষ্ট সময়ের পরীক্ষা
Continuous verification

Verification runs on every change, not just before releases.

Dashboards inform
Decisions enforce

Control decisions are enforced through CI/CD, deployment infrastructure, and agent tooling.

Why independent

Why an independent layer works for enterprises

An independent layer addresses what point solutions cannot: the proposer, however capable, should not also be the judge.

Read the Reliability Thesis
  • 01Independent of the proposer

    Whoever proposes a change, Zof verifies it independently. Smarter models make this more valuable, not less.

  • 02Catch consequence earlier

    Blast radius is resolved before the action runs, not after an incident.

  • 03One loop across teams and systems

    The same loop serves engineering, QA, SRE, security, and compliance.

  • 04Every action is reconstructable

    Evidence and provenance make any decision reviewable later.

  • 05Keeps working as the architecture changes

    The System Graph is temporal, so the loop stays accurate as systems evolve.

Enterprise fit

How Zof fits into enterprise workflows.

বিদ্যমান প্রক্রিয়া প্রতিস্থাপন নয়, বরং তার সঙ্গে একীভূত হতে নির্মিত।

সব ইন্টিগ্রেশন দেখুন
01

CI/CD পাইপলাইন

প্রতিটি কমিট, PR বা ডিপ্লয়মেন্টে ভ্যালিডেশন ট্রিগার করুন। ঝুঁকিপূর্ণ রিলিজ স্বয়ংক্রিয়ভাবে ব্লক করুন।

02

প্রি-প্রোডাকশন ভ্যালিডেশন

প্রোডাকশনে প্রমোট করার আগে স্টেজিং এনভায়রনমেন্ট ভ্যালিডেট করুন।

03

চলমান সিস্টেম মনিটরিং

নির্ধারিত ভ্যালিডেশন রান লাইভ সিস্টেমে ধারাবাহিক আস্থা নিশ্চিত করে।

04

এক্সিকিউটিভ রেডিনেস পর্যালোচনা

রিপোর্ট ও স্কোর নেতৃত্ব পর্যায়ে রিলিজ সিদ্ধান্তের জন্য স্পষ্ট তথ্য সরবরাহ করে।

Next step

See the control loop on your own system

Book a Reliability Sprint. Zof maps one critical system, verifies its failure modes, and produces evidence of where exposure sits.

  • Human approval where policy requires it
  • অডিট-গ্রেড প্রমাণ
  • প্রাইভেট ও অন-প্রিম ডিপ্লয়মেন্ট
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How it works | Zof AI