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ETHORITY · ADVISORY SERVICE · FROM €19,500 · 4–8 WEEKS

Governance running in 8 weeks, before 2 Dec 2027.

Bring AI under control: roles, decision rights, an approval workflow, a maintained register and policies, mapped to the AI Act, ISO/IEC 42001 and NIST AI RMF.

Good AI Prism v3.12 close-up: legal
€19,500
Essential, one legal entity, 4 weeksETHORITY price list, 16 Oct 2026
€39,000
Complete, group or several units, 8 weeksETHORITY price list, 16 Oct 2026
2
real AI cases run through the new workflowETHORITY product sheet, 16 Oct 2026
2 Dec 2027
Annex III high-risk obligations of the AI Act applyReg. (EU) 2026/1744 · White & Case, Aug 2026 · whitecase.com ↗
8

Eight deliverables, from operating model to board report.

Each is built in ETHORITY templates and adapted to your size, not copied from a bank.

ETHORITY product sheet, 16 Oct 2026

3

Three frameworks mapped in one table.

AI Act obligations, ISO/IEC 42001 controls and NIST AI RMF functions sit side by side.

ETHORITY product sheet, 16 Oct 2026

2

Two real AI cases tested before go-live.

In the Complete package the workflow is proven on live cases, then adjusted.

ETHORITY product sheet, 16 Oct 2026

Who it is for

Companies with more than about ten AI uses or with possible high-risk AI; groups with several business units; companies preparing for ISO/IEC 42001 or customer audits; CIOs, CDOs and Heads of AI who need a clear mandate.

The prerequisite is an AI inventory. If none exists, an AI Act Readiness Sprint runs first and its register is reused.

The question it answers

Who may introduce AI here, who approves it, who monitors it and who answers for it?

What you receive

Select a result to see it in a scenario.

Scenario: a group with three business units and 28 registered AI uses (Complete package).

  1. 1

    Operating model: AI board or committee, an AI owner per system, roles (RACI) and decision rights.

    Operating model

    Read as text

    AI Governance Setup · Operating model · Scenario

    Scenario: a group with three business units and 28 registered AI uses (Complete package).

    AI board: CIO · CFO · Legal · Data protection · Works council

    Business unit A, Business unit B, Business unit C

    AI owners: 28 systems · one owner each

    Decision | Decides | Accountable | Consulted | Informed

    Approve a new high-risk use | AI board | Unit head | Legal, data protection | Works council

    Approve a minimal-risk tool | AI owner | Unit head | IT security | AI board

    Stop a system | AI owner | AI board | Legal | Users

  2. 2

    Approval workflow from idea to production, with risk triage, checks per risk class, sign-offs and records.

    Approval workflow

    Read as text

    AI Governance Setup · Approval workflow · Scenario

    Scenario: a group with three business units and 28 registered AI uses (Complete package).

    Idea (Anyone submits a use) → Intake (Purpose, data, vendor) → Triage (Risk class in 2 days) → Checks (Matched to the class) → Sign-off (By the right body) → Production (Registered, monitored)

    • Minimal: 3 checks · AI owner signs · about 5 days
    • Article 50: + disclosure text · about 10 days
    • High-risk: + impact assessment, oversight, logs · AI board signs · about 6 weeks

    Every step leaves a record in the register

  3. 3
    3

    AI register with a maintenance process.

  4. 4
    4

    Policy set in ETHORITY templates, adapted to you.

  5. 5

    Framework mapping: AI Act obligations, ISO/IEC 42001 controls, NIST AI RMF functions.

    Framework mapping

    Read as text

    AI Governance Setup · Framework mapping · excerpt · Scenario

    Scenario: a group with three business units and 28 registered AI uses (Complete package).

    Topic | EU AI Act | ISO/IEC 42001 | NIST AI RMF

    AI literacy | Article 4 | Clause 7.2 · competence | GOVERN

    Risk management | Article 9 | Clause 6.1 | MAP · MANAGE

    Data and data quality | Article 10 | Annex A.7 | MAP · MEASURE

    Impact assessment | Article 27 | Clause 6.1.4 · Annex A.5 | MAP

    Third parties and vendors | Article 25 | Annex A.10 | GOVERN 6

    Gap plan: 9 controls to add, 4 to adapt

    Framework references: EU AI Act: Reg. (EU) 2024/1689 · ISO/IEC 42001:2023 · NIST AI RMF 1.0

  6. 6
    6

    Trust Chain evidence model: how claims about each system are recorded as vendor claim, measured or verified by a third party.

  7. 7

    KPIs and reporting: a quarterly board report template.

    Quarterly board report

    Read as text

    AI Governance Setup · Board report · Q1 2027 · Scenario

    Scenario: a group with three business units and 28 registered AI uses (Complete package).

    • AI uses registered: 28
    • high-risk: 3
    • new cases reviewed: 6
    • pilots on real cases: 2

    Decisions due:

    1. Approve the CV-screening oversight design
    2. Stop the unused translation tool
    3. Fund the logging upgrade
    4. Policies acknowledged: 92%
    5. Owners named: 28 of 28
  8. 8
    8

    Final presentation and a summary signed by Sten Franke.

1 / 4 · Operating model

AI board, an owner per system, roles and decision rights.

Scenario: a group with three business units and 28 registered AI uses (Complete package).

Read as text

AI Governance Setup · Operating model · Scenario

Scenario: a group with three business units and 28 registered AI uses (Complete package).

AI board: CIO · CFO · Legal · Data protection · Works council

Business unit A, Business unit B, Business unit C

AI owners: 28 systems · one owner each

Decision | Decides | Accountable | Consulted | Informed

Approve a new high-risk use | AI board | Unit head | Legal, data protection | Works council

Approve a minimal-risk tool | AI owner | Unit head | IT security | AI board

Stop a system | AI owner | AI board | Legal | Users

How it works

  1. Week 1

    Mobilise: kick-off, review of the register and existing processes (IT, data protection, procurement, ISMS).

  2. Weeks 2–3

    Design workshop on principles and risk appetite; operating model with committees, roles and links to ISMS and data protection.

  3. Weeks 3–5

    Approval workflow (intake, triage, checks, sign-offs) and the policy set; second design workshop approves both.

  4. Weeks 6–7

    Framework mapping and gap plan; pilot with two real AI cases; register maintenance, board report and KPI set.

  5. Week 8

    Handover: two-hour training for AI owners, final presentation and signed summary. Essential compresses weeks 1–5 into four weeks without the pilot.

Packages and price

Terms

Net prices. Work starts after confirmed payment and complete agreed inputs. Your time: a sponsor for about one hour a week, a working group of three to five people for about two hours a week, and decision-makers for two workshops.

Boundary

A technical and organisational design that prepares you for ISO/IEC 42001. Your accredited certification body certifies, and your counsel signs off the legal questions.

Who is accountable for the result

Sten Franke

Sten Franke

Founder & CEO · AI Transformation Architect

Sten Franke designs and builds AI systems, from model testing and cloud setup to the interfaces people use. He connects business decisions, software architecture and practical implementation.

AI architecture · Model testing · Cloud engineering · UX

His work spans programming, LLM evaluation, Google Cloud and AWS environments, and web applications built with Next.js and React. He connects business requirements, software architecture and practical implementation. Creator of the Good AI Prism, he brings market intelligence into AI decisions. Earlier, he created the Social Media Prisma, led a BVDW Social Media working group and contributed to its Social Media Kompass. His entrepreneurial work includes ethority, Gridpatrol and mediatime, following a practical foundation in electronics and industrial robotics.

sten@ethority.ai

Real offerings we compare against

Vendors increasingly publish their own ISO/IEC 42001 status, and your workflow should record it as a provider fact. Three profiles show how: Agentforce in customer service, Rossum for document work and Tricentis Tosca AI agents.

● Documented by the provider○ Stated by the provider◐ ETHORITY analysis◌ Independent source

Agentforce

Salesforce · Platform

Documents, Workflow & Agents

Salesforce’s platform to build and run AI agents inside Salesforce, priced by consumption, by conversation or per user.

Published price
How it is billed
Does it train AI on your data?
Certificates and audit reports
Open profile

Agentforce

Salesforce · Platform

Facts, sources and conditions

Salesforce’s platform to build and run AI agents inside Salesforce, priced by consumption, by conversation or per user.
Documented by the providersalesforce.com ↗
What it is used for
Companies whose customer and sales data already live in Salesforce.
ETHORITY analysis
How it is billed
Three models side by side: Flex Credits (consumption), per conversation, and per-user licence.
Documented by the providersalesforce.com ↗
Published price
Flex Credits $500 per 100,000; conversations $2 each; Agentforce User License $5 per user per month for employee-facing agents (requires Flex Credits); add-ons $125 per user per month (Sales, Service, Field Service) and $150 (Industries); Agentforce 1 Editions from $550 per user per month; Foundations $0. Edition naming (“Max Edition”) and euro prices were shown on 17 Oct and are to be re-confirmed.
Documented by the providersalesforce.com ↗

List prices for the named editions.

Does it train AI on your data?
Only third-party model training is addressed
Documented by the providerhelp.salesforce.com ↗

The statement covers third-party models. Open · ETHORITY investigates Salesforce’s own models.

Connects with
Runs on Salesforce CRM/Data 360 (Data 360 credits a separate cost); add-ons for Sales, Service, Field Service, Industries; channels for service agent: voice, web, portals, SMS, WhatsApp; Agent API and Agentforce Mobile SDK for external apps.
Stated by the providersalesforce.com ↗

Pricing page: https://www.salesforce.com/agentforce/pricing/ ; service page: https://www.salesforce.com/service/ai/ ; Agent API: https://developer.salesforce.com/docs/ai/agentforce/guide/agent-api-considerations.html

Certificates and audit reports
Compliance portal lists for 'Agentforce & Einstein Platform': ISO/IEC 42001:2023 certificate ('Salesforce AI Platform, Agentforce Slack AI, ...', updated 1 Oct 2026); HDS certificate (Salesforce); SOC 1 bridge letter (Agentforce Operations). Full list (125 documents) refers to 'Audits and Certifications' section of the service SPARC.
Documented by the providercompliance.salesforce.com ↗

Provider documentation; confirm the certificate scope and issuer. SOC reports are attestations.

Limitations
Pricing: Agentforce User Licence gives 'Access to limited Salesforce CRM objects'; Flex Credits and per-conversation pricing cannot be used in the same org; unused Flex Credits do not roll over; editions include 'a limited number of generative credits'. Agent API: 120-second timeout; not supported for 'Agentforce (Default)' agent type.
Documented by the providersalesforce.com ↗

Agent API constraints: https://developer.salesforce.com/docs/ai/agentforce/guide/agent-api-considerations.html. Service AI page: 'Includes a limited number of generative credits.' No accuracy/hallucination limitation statement found on reviewed pages.

Open the full profile →

Rossum

Rossum · Product

Documents, Workflow & Agents

Rossum captures data from invoices, purchase orders and bills of lading using its in-house transactional LLM Aurora, holding fields below confidence thresholds for human validation before export to SAP or Coupa.

Published price
How it is billed
Where data is stored
Certificates and audit reports
Open profile

Rossum

Rossum · Product

Facts, sources and conditions

Rossum captures data from invoices, purchase orders and bills of lading using its in-house transactional LLM Aurora, holding fields below confidence thresholds for human validation before export to SAP or Coupa.
Stated by the providerrossum.ai ↗

Aurora and confidence-threshold behaviour are described on the provider’s Aurora page. https://rossum.ai/aurora-advanced-ai/

Where it sits on the map · 1 · 1
What it is used for
Automate transactional document capture for AP and order processing
ETHORITY analysisrossum.ai ↗

Task classification by ETHORITY; match it to your intended use.

How it is billed
Annual plans "based on the volume of pages or documents you process" and workflow complexity; overage per additional page; minimum contract one year
Stated by the providerrossum.ai ↗
Published price
Starter "Starting at $18,000 per year"; Business, Enterprise, Ultimate: quote
Unit: USD per year
Stated by the providerrossum.ai ↗

included volumes not stated

Where data is stored
AWS; EU default for new customers: primary eu-central-1 (Frankfurt), backup eu-west-1 (Ireland), or Ireland primary/Frankfurt backup; US and Japan regions also offered
Stated by the providerrossum.ai ↗
Where the provider's own sources disagree

The provider’s own sources say different things here. Source conflict: same page's 'Data Processing and Transfers' section lists EU, Ireland and Czech Republic, not matching region list. Enterprise plan lists 'Preferred cloud location' (https://rossum.ai/pricing/)

Connects with
SAP, Coupa, Workday "and more"; logos NetSuite, Xero, Microsoft Dynamics, QuickBooks; API access, webhooks
Stated by the providerrossum.ai ↗

no count; webhooks/API from https://rossum.ai/pricing/

Certificates and audit reports
ISO/IEC 27001:2022 (third-party certified, issuer not named); ISO/IEC 42001:2023; SOC 2 Type II attestation (period 15 Jun 2024–24 Jun 2025); TX-RAMP Level 1 (certificate ID TX1114698)
Stated by the providerrossum.ai ↗
Where the provider's own sources disagree

The provider’s own sources say different things here. The provider’s pricing FAQ also mentions HIPAA. The certification and attestation details come from its Trust Center.

Limitations
Confidence-threshold feature "is deprecated"; "estimating this accuracy correctly in all cases is still an unsolved problem"; trade-off between automation and manual review; one-year minimum contract
Documented by the providerknowledge-base.rossum.ai ↗

Provider-stated claims only: 'average accuracy of 92.5%' (Aurora page); 'Up to 66% error reduction' (transactional page)

Open the full profile →

Tricentis Tosca AI agents

Tricentis · Product

Software Development

According to Tricentis: “AI agents built for the Tosca environment generate complete, end-to-end tests from plain-language descriptions.”

How it is billed
Where data is stored
Does it train AI on your data?
Certificates and audit reports
Open profile

Tricentis Tosca AI agents

Tricentis · Product

Facts, sources and conditions

According to Tricentis: “AI agents built for the Tosca environment generate complete, end-to-end tests from plain-language descriptions.”
Stated by the providertricentis.com ↗

The product page was inaccessible. The Tosca Cloud documentation describes test cases from natural language: https://docs.tricentis.com/tosca-cloud/en-us/content/ai_integration/agentic_test_automation/landing_page.htm

Where it sits on the map · 1 · 1
What it is used for
Agentic generation of end-to-end UI test cases
ETHORITY analysisdocs.tricentis.com ↗

Derived from docs.

How it is billed
AI credits — each agent interaction (click, text input, verification, buffer action) costs one AI credit
Unit: credits
Documented by the providerdocs.tricentis.com ↗

'All interactions count, even if they don't match your original test intent.' Tosca Cloud licence required.

Where data is stored
Yes — data processed in region chosen at Tosca Cloud tenant setup; Azure OpenAI in Europe (France, EU-WEST-3); Anthropic Claude region 'Europe' (no code); also US and Australia
Documented by the providerdocs.tricentis.com ↗

Trust page https://www.tricentis.com/trust/ai: administrators may select EU, US or Australia region. Doc lists Japan under AP-SOUTHEAST-2 and Canada under US-EAST-1 (provider labelling).

Does it train AI on your data?
Not used for training — "we don't use your queries for model training purposes"; opt-out available for anonymised product-improvement use
Stated by the providerdocs.tricentis.com ↗

Trust AI page (https://www.tricentis.com/trust/ai): inputs/outputs not used to improve third-party models; customers can opt out of anonymised inputs/outputs being used for Tricentis product improvement (i.e. default use for product improvement, scope vs 'training' not specified).

Connects with
Tosca Cloud; qTest (imported manual tests via 'Automate with ATA'); Test outline API; TBox and Vision AI engines; supported apps: generic web, SAP Fiori, SAP GUI, Salesforce. No IDE/Git/CI integration stated for the agent.
Documented by the providerdocs.tricentis.com ↗

qTest/API from landing page doc.

Certificates and audit reports
ISO/IEC 42001 scope includes Agentic Test Automation; ISO/IEC 27001:2022, ISO 27701, ISO 9001 and SOC 2 Type 2 cover Tosca Cloud (ISO also Tosca On Prem); auditors not named
Stated by the providertricentis.com ↗

Provider statement; SOC 2 is an attestation.

Limitations
Creates new test cases only (cannot update existing); one AI credit per interaction, tool unavailable when credits run out; requires 1920x1080 at 100% scale (pixel-level screen reading), Chrome/Edge; attachments ≤4 MB text-based; AI Solutions prohibited in 'high risk' deployments
Documented by the providerdocs.tricentis.com ↗

Credit/display limits from landing page doc; high-risk prohibition from https://www.tricentis.com/trust/ai.

Open the full profile →

Read before you decide

Three insights behind the design, including governing the outcome, not only risk.

AI rules move from documents into daily operation.

AI rules move from documents into daily operation.

Why AI agents, tools and constant change move AI governance – the rules and responsibilities for AI – into the systems that run your AI every day.

See the map on one page →
Govern the outcome, not only the risk.

Govern the outcome, not only the risk.

Connect your AI rules to the business result, the full cost and the value you observe, and let them say stop.

See the map on one page →
A list of AI agents does not control them.

A list of AI agents does not control them.

What controls AI agents in daily operation: clear rights, a record of how well each fact is supported, checks matched to the risk, data limits and alerts when something changes.

See the map on one page →

Test your numbers first

The matching calculator is the EU AI Act Navigator: its duties by role feed your approval workflow. All tools sit in the ETHORITY AI calculator suite.

EU AI Act Navigator

Seven questions give an indicative risk class, your duties, the dates and the missing evidence, ready to take to your lawyer.

Pilot version · Scenario calculator

Open the calculator →

AI Journey Planner

A plan from the first idea to scaling up, with milestones, owners, checkpoints and the EU AI Act dates in that period.

Pilot version · Scenario calculator

Open the calculator →

Compare three offerings

Puts two to four offerings side by side in the same units, each fact with its source and the date it was checked.

Compare offerings →

Questions buyers ask

Do we need an inventory first?

Yes. If none exists, the sprint runs first and its register is handed into governance.

How does this prepare us for ISO 42001?

It maps your controls to ISO/IEC 42001 and, in Complete, delivers the gap analysis and plan your accredited certification body audits against.

Which tools do you configure?

In Complete, we support configuration in SharePoint, Jira, ServiceNow or similar tools you already run.

How do we keep it running?

Most clients continue with the AI Governance Retainer for register updates and quarterly board reports.

What if the workflow slows projects down?

That is what the two-case pilot is for: it tests speed as well as control, and the workflow is adjusted before go-live.

Next step

Book a 30-minute call to choose the package. For a group-wide view of tools, costs and vendors before governance, start with the AI Estate Audit & Mapping.

ETHORITY · LONG READ

Policies do not govern AI. Decisions do.

Many companies now hold an AI policy. Far fewer can name who approved the last AI tool, on what evidence, and when it will be reviewed again.

AI no longer enters a company through one project. It arrives with software updates, new vendor terms and teams that solve their own problems. A policy written once a year cannot keep up with that. What keeps up is an operating model: named owners, bounded authority, current evidence and a defined response to change.

The AI Governance Setup builds that model in four to eight weeks. It starts with the register, because governance needs a list of what it governs. It then settles three questions in two design workshops. Who decides, at which level of risk? What does a new AI case have to show before it is approved? And how does the board learn what changed?

The answers become working parts. An intake form and risk triage route each new case. Checks scale with the risk class, so a writing assistant does not wait as long as an AI step in credit decisions. Sign-offs are recorded. Each claim about a system carries a Trust Chain label, so everyone can see whether a statement is a vendor claim, a measurement or a third-party verification.

The framework mapping places AI Act obligations, ISO/IEC 42001 controls and NIST AI RMF functions in one table. That lets a company prepare for certification without building three parallel systems. The Annex III date of 2 December 2027, set by the AI Act Omnibus, gives the timetable.

In the Complete package, two real AI cases run through the new workflow before go-live. The test is practical: did the process produce a decision, how long did it take, and what would the team change? The answer adjusts the design. The wider argument for governance that runs in daily work is that control is only real when it shows up in decisions people actually make.

Sources and further reading

YOUR NEXT STEP

Discuss your question with Sten Franke.

Bring your business question or the figures you already know. ETHORITY investigates within the agreed scope; together with Sten Franke you agree the next piece of work.

Send an enquiry →