Enterprise operating model

One assurance layer for the workflows that matter.

EcoKure connects a control, the people who own it and the evidence that proves what happened. Start with one bounded workflow and expand when the evidence supports it.

evidence-pack.json accept
// returned by the lane, signed before it is returned
{
  "verdict": "accept",
  "lane": "dela.evidence-change",
  "reason": "material change in coordinates; 3 dependent analyses affected",
  "inputs": {
    "current_fingerprint":   "sha256:9f2c…a71d",
    "candidate_fingerprint": "sha256:4b80…c2e9"
  },
  "impact": {
    "affected":  3,
    "preserved": 41,
    "replayed":  3,
    "held_for_review": 1
  },
  "deterministic": true,
  "chain": { "index": 18274, "previous_fingerprint": "sha256:0c15…8fa2" },
  "sig": "ed25519:7d41c0…9b3e"
}
Verify with the published key. No source access required. Replayable

A signed record you can inspect, replay and share with the next reviewer.

Your environment / Declared boundary

Place each permission where it belongs.

Explore the identity, evidence and action boundary to qualify for your environment.

Declare who can see and request the work.

Select an illustrated object to inspect its role.

01 / 03

Declare who can see and request the work.

Map organisation membership, access to records and the requested workload before integration.

Environment-specific access review
Conditions & scope

Tenant isolation and enterprise operating guarantees require evidence for the exact deployment.

Review workspace access ↗
Architecture illustration · No operation performed
The short version

Four steps from a question to evidence you can defend.

Keep the decision boundary visible. The existing system keeps doing its job; EcoKure adds the control path around the risky or changing part.

01 Scope

Choose one workflow

Define the owner, data boundary and decision that needs evidence.

02 Check

Run the control pack

Apply the customer-owned rules, sources and release conditions.

03 Review

Hold what needs judgement

Send uncertain or affected cases to a named reviewer instead of guessing.

04 Prove

Release the evidence

Return a signed record you can replay and inspect, with its limits.

AI may propose. The Control Pack decides what can pass, what must pause and what must be proven.
Institutional scale

Expand by workflow, not by silo.

The loop stays the same. Each team brings its own owner, rules and boundary.

01
Common

One assurance loop

Consistent checks, holds, review and evidence across the organisation.

02
Local

Different control packs

Risk and domain teams own the obligations, thresholds and reviewers.

03
Controlled

Explicit boundaries

Identity, keys, environments and retention stay visible per deployment.

Packages

Three practical ways to begin.

Each step has a clear boundary. You do not need to buy the whole platform to answer one important question.

Bounded runtime 02 · Governed workflow

Run beside the business

Shadow first

Deploy one named workflow with customer-owned rules, reviewer accounts and signed evidence.

Scoped separately 03 · Integration

Connect the boundary

Measured hours

Connector, deployment, key management and reviewer configuration are scoped to the engagement.

Deployment and data

Put the boundary where the data belongs.

Choose the setup that fits the workflow. The verification rules stay the same.

Your infrastructure

Nothing leaves

Run the checks in your account with your signing keys.

Regulated or sensitive data
Hybrid

Route selectively

Keep sensitive lanes local and send only approved work outward.

Mixed-sensitivity workflows
Hosted

Start quickly

Submit the bounded material needed for checking and verification.

Evaluation or lower-sensitivity work
Path to production

Make the next decision smaller.

Every stage produces something the customer can review before deciding whether to continue.

01Define

Owner, boundary and acceptance question.

02Shadow

Measure without actuating decisions.

03Validate

Test change, failure and replay.

04Decide

Customer steering group goes or stops.

Honest limits

Useful because it is bounded.

EcoKure makes the control path clearer. It does not turn an open question into a compliance claim.

We can provide

A reviewable operating loop

  • Customer-owned controls and named reviewers
  • Signed records with replay and change impact
  • A bounded route from pilot to go / no-go
We cannot claim yet

A shortcut around accountability

  • Automatic compliance or certification
  • A replacement for an accountable decision-maker
  • 24/7 support or a customer production reference
Reference notes: metering, support and open gates
Metering

Evidence packs released are the counted unit. Verification calls and replays inside the entitlement are not.

Support

Business-hours support, same-business-day response for wrong results or outage, and direct founder escalation.

Open gates

No certifications or third-party security report yet. Customer infrastructure, security review and pilot evidence remain required.

Bring one workflow. Leave with a clearer decision.

Tell us the owner, the boundary and the evidence question. We will shape the smallest useful next step.

Open technical detail

Where it sits in what you already run

The runtime sits around the existing workflow. A decision request goes in; a verdict and its evidence come back.

Drag this in Drop it on the diagram, or press it.
Your existing stack unchanged, nothing replaced The AI model or agent you already run Your workflow and orchestration Your GRC platform and risk register Your identity provider Your data platform decision request verdict + evidence no agent installed no data leaves your boundary EcoKure deployed in your account · 11 dependencies Control packs, versioned and owned by you ALLOW / BLOCK / ABSTAIN on every decision Signed record that shows if it is altered Review queue for anything it could not decide Change impact, rechecking only what is affected EcoKure never touches • Your model — it is never evaluated, tuned or replaced • Your GRC platform — integrated with, not replaced • Your data — a digest is stored, never the input • Any actuation — nothing is executed on your behalf
EcoKure sits beside what you run rather than inside it. There is no agent to install and no data to send us: the runtime deploys in your own account, and the only thing crossing the seam is a decision request going one way and an answer with its evidence coming back.

What one decision actually does

The control pack and workflow change by customer. The evidence contract stays inspectable.

Drag this in Drop it on the diagram, or press it.
your own account — evidence and keys never leave Your system Existing AI, agent or workflow EcoKure checks decisions against your rules Decision ALLOW / BLOCK / ABSTAIN Your rules Control Pack — version + fingerprint binds version + fingerprint entry 412 ABSTAIN signed, tamper-evident evidence chain signs every outcome only on ABSTAIN Queue Review queue depth + ageing Person Qualified reviewer your IdP, your roles entry 587 BLOCK sign-off — commitment only, no identity references, never rewrites Evidence pack export Independent verifier no EcoKure code runs offline Signed automatically Held for review
The dashed arrow is the load-bearing detail. A reviewer’s decision is appended as a SECOND signed entry that points at the first. Entry 412 stands unaltered forever and still replays to ABSTAIN — the record shows that the machine had no basis and a named human took responsibility, rather than a system that was always confident.
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