SYSTEM ASSURANCE · EVIDENCE BEFORE EFFECT

Validate the system that can change something consequential.

BitEvo works beyond AI agents. We help teams make enterprise claims defensible and independently test one bounded control boundary in any consequential software workflow — finance, voice, legal, enterprise AI or another system with real permissions, decisions and external effects.

Scope one workflow Compare the two entry offers

Fixed entry scope · staging/test by default · no production attack · written scope before testing

SYSTEM CONTROL TRACE / SYNTHETIC WORKED EXAMPLE

OPERATIONwrite proposed to external system

bound

POLICYhuman approval required above threshold

expected

EDGEapproval missing / state changed

challenged

EFFECTexternal write remains blocked

verified

OUTPUTExpected control → observed effect → reproducible evidence.

Synthetic example only. A real engagement is limited to the written scope and agreed test environment.

OBJECTOne bounded workflow

ENTRY$1,500 fixed scope

DEFAULTStaging / test

OUTPUTEvidence for a decision

Two entry offers

Do you need better evidence — or a real control test?

The offers solve different problems. Evidence Readiness organizes and hardens what you can already prove. Security Control Validation exercises one agreed behavioral boundary and verifies the resulting system effect.

01 · PROCUREMENT / BUYER REVIEW

AI Evidence Readiness Sprint

$1,500fixed · one AI product/workflow

For teams already facing security questionnaires, procurement review, DPA/subprocessor requests, architecture questions or repeated claims-to-evidence work.

Buyer-question map
Claims-to-evidence ledger
Reusable Evidence Pack
Controlled questionnaire answer bank
Evidence-gap list with owners and actions

5 business days after complete inputs. This is evidence readiness — not certification, legal advice or a penetration test.

Scope Evidence Readiness →

02 · BEHAVIOR / CONTROL BOUNDARY

Security Control Validation

$1,500fixed · one bounded staging scenario

For a system that can read sensitive data, make a consequential decision, call a tool, change a record, trigger a payment, send an external action or cross an approval boundary.

One bounded staging control scenario
Expected allow / deny / hold / escalate decision
Observed downstream system effect
Reproducible evidence and trace
Finding + owner decision / repair criterion

Independent validation. Not a pentest, certification, statutory/accredited audit, legal opinion or compliance-pass guarantee.

Scope one control boundary →

Deeper agent-specific work

Agent Authority & Evidence Primary Audit — $4,900

When one entry scenario is not enough, the existing Primary Audit remains the deeper specialized offer for action-capable AI-agent workflows: authority/effect mapping, 10–20 agreed scenarios, finding cards, evidence pack, repair backlog and one retest.

Open Primary Audit →

Not agent-only

The object is the consequential workflow.

“Finance”, “voice” and “legal” are examples — not separate BitEvo service lines. The same validation model applies whenever a system has a bounded permission, decision, action, handoff or recovery path that matters.

AI agents

Tool use, write authority, approval gates, retries, rollback and external-effect confirmation.

Finance & ERP

Maker-checker, approval routing, reconciliations, payment or record writeback, and final-state evidence.

Voice & customer systems

Authentication, tool calls, CRM/backend actions, escalation and transcript-to-effect traceability.

Legal workflows

Matter access, drafting or redline authority, approval checkpoints, external sends and evidence of review.

Enterprise AI products

Tenant/data boundaries, SSO/RBAC, model/data claims, audit logs and procurement evidence.

Other consequential software

Any bounded workflow where a wrong permission, decision, action or recovery path can create a material effect.

Validation method

One operation. One expected control. One observed effect.

A useful engagement stays narrow enough to reproduce. The goal is not to declare a whole product “safe”; it is to produce evidence strong enough for one owner decision.

Bind the object

Choose one workflow, one consequential operation and the exact system/object that may be changed.

State the expected control

Define the permission, evidence, approval or transition rule that should govern the operation.

Exercise the boundary

Run an agreed staging/test scenario, including the relevant edge, revocation, retry or handoff condition.

Verify the effect

Confirm the actual downstream state rather than treating a tool response or internal status as proof.

Package the evidence

Return a bounded record of what was observed, what remains uncertain and what owner action follows.

What the evidence looks like

A short record that another reviewer can replay.

The useful artifact is not a decorative score. It binds the intended operation, authority/policy state, evidence available at decision time, observed system effect, limitations and next owner action.

operationapprove_and_write_invoice_exception

expectedHOLD until human approval

edgeapproval absent + record version changed

observedwrite blocked; no external state change

evidencepolicy version · decision trace · system readback

owner decisionretain control / define retest trigger

Included by default

Bounded engineering evidence.

Agreed staging/test scenario, observable behavior, downstream readback, evidence packaging and a clearly stated residual uncertainty.

Not included by default

No generic security theater.

No production exploitation, vulnerability disclosure exercise, certification, statutory audit, legal opinion, guaranteed procurement outcome or claim that one passing scenario proves the whole system safe.

Start narrow

Bring one workflow that matters.

If the problem is repeated buyer review, start with Evidence Readiness. If the problem is whether a control actually holds when the system acts, start with Security Control Validation.

Prepare a scope brief See BitEvo proof discipline