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AI Business Blueprint

One objective, one 90-day AI roadmap.

Turn your business goal into a practical 90‑day AI plan.

€495 net · one-time

Scope and delivery date are confirmed in writing before work starts.

AI Business Blueprint, Sample page 1 of 3, cover (Scenario): Scenario: a logistics company wants AI to prepare customer quotes faster.
Original sample page · Scenario

What you receive

An eleven-section plan for one objective, with the decision on page one, two to four options and a 30/60/90-day roadmap.

Your objective, an accountable owner on your side and any figures you already have. ETHORITY maps today’s workflow with your team and gathers the rest.

The ETHORITY Promise

The ETHORITY Promise

We make the value clear. We take responsibility for our delivery. We make results transparent.

  • A specific expected outcome, with its basis and assumptions.
  • Defined deliverables, price, timing and acceptance criteria.
  • Supporting evidence, accountable ownership and measurement where included.

You receive a clear recommendation, an agreed delivery commitment and transparent results. We explain the value you can expect, the basis for that assessment and what ETHORITY takes responsibility for.

Expected value
You receive a plan for one objective, set out so your management can decide on it in five minutes.
Your deliverable
Eleven sections with the decision on page one, two to four options and a roadmap for 30, 60 and 90 days.
Responsibility
ETHORITY maps the current workflow, assesses the options and recommends one path, within the scope and by the date confirmed in writing before work starts.
Evidence
Every baseline figure carries one of four ETHORITY evidence labels; any figure still missing is named, with its effect on the decision.
Fixed price
€495 plus VAT, one-time
Delivery
scope and delivery date confirmed in writing before work starts

The value receipt runs through the whole assignment: the expected value before you order, then the agreed commitment, and the proof on delivery.

Scenario figures are assumed; your own figures are established in your assignment.
Scope, responsibilities and evidence
11
sections, with the decision on page oneOffer terms →
4
ETHORITY evidence labels; every baseline figure carries oneOffer terms →
90
days of roadmap, in steps of 30, 60 and 90Offer terms →

Your decision at a glance

You receive
An eleven-section plan for one objective, with the decision on page one, two to four options and a 30/60/90-day roadmap.
Price
€495 net · one-time
Delivery
Scope and delivery date are confirmed in writing before work starts.
What we need from you to get started
Your objective, an accountable owner on your side and any figures you already have. ETHORITY maps today’s workflow with your team and gathers the rest.
Next step
Request a Blueprint with a short description of your objective.

Tell us the problem.

What ETHORITY delivers

  • The workflow map and opportunity map
  • Two to four options with their economics
  • The human-and-AI operating model
  • An eleven-section plan with a 30/60/90-day roadmap

What we need from you to get started

  • Your objective, an accountable owner on your side and any figures you already have. ETHORITY maps today’s workflow with your team and gathers the rest.

Your objective, an accountable owner on your side and any figures you already have. ETHORITY maps today’s workflow with your team and gathers the rest.

Don’t know something yet? Say so. ETHORITY clarifies it with you as part of the work.

Your decision

  • Which option to pursue
  • Which next steps to commission

Work starts after confirmed payment and receipt of the start inputs; within the agreed scope, ETHORITY gathers everything else.

  • A decision on page one that your CEO reads in five minutes.
  • Every figure carries one of four ETHORITY evidence labels, from known to still required.
  • Two to four options and a 30/60/90-day roadmap to start.

What you receive

  • Executive decision on one page: the problem, three opportunities, three open questions, three priority actions.
  • Objective and baseline, each figure marked as known, customer-provided, publicly observed or still required.
  • Work and process map: repetitive, knowledge-heavy, judgement-heavy and control-sensitive work.
  • AI opportunity map: target work, intervention pattern, value mechanism, dependency and main open question.
  • Human-and-AI operating model: what AI may do, what people keep, where approval and escalation sit.
  • Technology directions compared by pattern, with fit, limits and what to validate.
  • Data and integration requirements.
  • Economic frame: what would have to be true for the initiative to pay off.
  • Material risks, with what is known and what evidence is still needed.
  • Two to four decision options and one recommended path.
  • 30/60/90-day roadmap.

Who it is for

A managing director, operations lead or customer-service lead with one important objective: faster customer response, less manual administration, better use of internal knowledge. You want a plan to forward to the CEO, CFO, CIO and the team that will do the work, before anyone buys a tool from the 961 offerings in the Prism.

The question it answers

Where could AI change this part of our work, what would it take to find out, and what do we do in the next 90 days?

How it works

  1. 1

    Request Tell us your objective and name an accountable owner; share figures if you have them. ETHORITY maps today’s workflow with your team.

  2. 2

    Confirm Sten Franke confirms inputs, scope and delivery date with you before the work starts.

  3. 3

    Build ETHORITY maps the work, the opportunities and the patterns, and builds the economic frame from your figures.

  4. 4

    Deliver You receive the Blueprint with the one-page decision on top, ready to forward.

Packages and price

AI Business Blueprint

€495 net · one-time

One bounded initiative, eleven sections, baseline marked by evidence status, two to four options and a 30/60/90-day roadmap.

Request scope and delivery

See what this package includes →

Terms

One-time, net. Scope and delivery date are confirmed in writing before work starts.

Boundary

A decision-ready planning document for one objective. Product choice, legal review and implementation follow as separate, named next steps.

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

Sten Franke frames the assignment, interprets the findings and signs off on the final recommendations.

Real offerings we compare against

Agent and automation platforms are often the first technology direction a Blueprint weighs. Three profiles show the facts behind that comparison: Beam AI agents, Relevance AI agent builder and Nanonets document automation.

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

Beam AI

Beam AI · Platform

Documents, Workflow & Agents

Beam AI runs enterprise AI agents on graph-based workflows that mix fixed steps with LLM nodes, pausing at consent nodes for human approval and drawing on 1,500+ prebuilt connectors.

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

Beam AI

Beam AI · Platform

Facts, sources and conditions

Beam AI runs enterprise AI agents on graph-based workflows that mix fixed steps with LLM nodes, pausing at consent nodes for human approval and drawing on 1,500+ prebuilt connectors.
Stated by the providerbeam.ai ↗

Description follows the provider's agentic-automation page.

Where it sits on the map · 1 · 1
What it is used for
Build and run workflow-based AI agents for back-office processes
ETHORITY analysisbeam.ai ↗

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

How it is billed
Terms: "The ongoing fees are billed in advance by calendar month, unless otherwise agreed"; pricing units set in individual Contract Form
Stated by the providerbeam.ai ↗

No public pricing page found; unit itself not published

Where data is stored
Data security annex: hosting on AWS, Microsoft Azure, Google Cloud; regions EEA, United States, Australia/New Zealand; customer data hosted in region tied to the customer's Beam account; AI inference in matching region "where regional processing is available and configured"
Documented by the providerbeam.ai ↗
Where the provider's own sources disagree

The provider’s own sources say different things here. Contradiction: privacy policy s.4.3 says "Our servers are located in Europe" (https://beam.ai/legal/privacy-policy); /platform says "Beam is hosted in the EU"; homepage lists "EU data residency". Specific cloud regions (e.g. Frankfurt) not named

Does it train AI on your data?
Not used for training: customer data "is never used to train generalized AI or machine-learning models"
Documented by the providerbeam.ai ↗

Consistent with data-security page (inputs/outputs not used to train shared or public models) and Agent OS page "Data sent to LLMs is not used for training." Terms s.6.4 permit anonymised aggregated analytics from customer data for product enhancement

Connects with
"1500+ pre-built connectors" incl. SAP, Oracle, Salesforce, Workday; /platform names Airtable, Aircall, ServiceNow, Copper, Asana, Sage, ClickUp; MCP and A2A protocols for external agent platforms
Stated by the providerbeam.ai ↗

Count from https://beam.ai/platform/agentic-automation and agent-os

Certificates and audit reports
Provider claims only: homepage "SOC 2 Type II certified and GDPR compliant"; /platform "With ISO 27001 and SOC Type II certifications". No auditor, scope or report period published on pages read
Stated by the providerbeam.ai ↗
Where the provider's own sources disagree

The provider’s own sources say different things here. SOC 2 is an attestation, not a certification; GDPR is a law. Inconsistent across own pages: agentic-automation page says only "SOC 2 compliant, GDPR ready"; data-security page names no ISO/SOC report. issuer confirmation remains open. HIPAA, NYC LL144 bias audit also listed on homepage

Limitations
Terms s.10.2: "All information on the Services shall not constitute a guarantee for the quality of the Services" unless expressly agreed; s.8.5 puts risk that Applications meet requirements on the customer
Stated by the providerbeam.ai ↗

Contractual disclaimer only; no product-specific limitations stated on pages read

Open the full profile →

Relevance AI

Relevance AI · Platform

Documents, Workflow & Agents

According to Relevance AI: “Subject-matter experts can use Relevance to design powerful AI agents without relying on developer resources.”

Published price
How it is billed
Where data is stored
Does it train AI on your data?
Open profile

Relevance AI

Relevance AI · Platform

Facts, sources and conditions

According to Relevance AI: “Subject-matter experts can use Relevance to design powerful AI agents without relying on developer resources.”
Stated by the providerrelevanceai.com ↗
Where it sits on the map · 1 · 1
What it is used for
No-code builder for AI agents and multi-agent workforces
ETHORITY analysisrelevanceai.com ↗

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

How it is billed
Subscription per plan with monthly Actions and Vendor Credits allowance; top-ups $80 per 1,000 Actions and $20 per 10,000 Vendor Credits; BYOK skips Vendor Credits
Documented by the providerrelevanceai.com ↗

Base-plan Actions reset at renewal; purchased top-ups roll over

Published price
Pro $29/month ($19/month annual), 2,500 Actions/month, 2 build users; Team $349/month ($234/month annual), 7,000 Actions/month, 5 build users, 45 end users; Enterprise custom
Unit: USD per month
Documented by the providerrelevanceai.com ↗
Where the provider's own sources disagree

The provider’s own sources say different things here. Contradictions: website pricing page https://relevanceai.com/pricing shows only Enterprise ('Talk to sales'); docs pricing gives Vendor Credits as $20/$70 per month in plan details but 10,000/35,000 per month in comparison table; plans doc example gives Pro 3,000 Vendor Credits

Where data is stored
Regions: Australia (Sydney), US (N. Virginia), EU/UK (London); region "chosen at signup" and cannot be changed after org creation
Documented by the providerrelevanceai.com ↗

EU option is London (UK), not an EU-27 region named; primary cloud host not named

Does it train AI on your data?
Not used for training: company does not train any models on customer data; metadata may be used to improve features like search
Documented by the providerrelevanceai.com ↗

Exception stated for partnership agreements. OpenAI/Anthropic listed as not logging or training on data, DPAs available

Connects with
"2,000+ Integrations" (pricing); "1,000+ apps" (enterprise page); Slack and email escalation tools; OTEL & Delta Share export
Stated by the providerrelevanceai.com ↗
Where the provider's own sources disagree

The provider’s own sources say different things here. Count inconsistent between own pages (https://relevanceai.com/enterprise says 1,000+)

Certificates and audit reports
Provider claim: "SOC2 Type II compliant"; reports available to Enterprise customers under NDA; auditor and period not named
Documented by the providerrelevanceai.com ↗

SOC 2 is an attestation; GDPR is a law. Confirm scope and issuer of any certificate.

Limitations
Data region cannot be changed after org creation; Free plan "retired for new signups and existing accounts"; retention deletion "is permanent and cannot be undone"; approval tasks "remain in a pending state until approved or rejected"
Documented by the providerrelevanceai.com ↗

Collated from security, pricing (https://relevanceai.com/docs/get-started/pricing), data-retention and approvals docs

Open the full profile →

Nanonets

Nanonets · Product

Documents, Workflow & Agents

Nanonets extracts fields and tables from invoices, forms and scans via configurable workflows billed per block run, routing rule-violating files to reviewers before export to ERPs, databases or sheets.

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

Nanonets

Nanonets · Product

Facts, sources and conditions

Nanonets extracts fields and tables from invoices, forms and scans via configurable workflows billed per block run, routing rule-violating files to reviewers before export to ERPs, databases or sheets.
Stated by the providerdocs.nanonets.com ↗

The provider’s data-extraction and pricing pages give additional scope and billing information. https://nanonets.com/data-extraction https://nanonets.com/pricing

Where it sits on the map · 1 · 1
What it is used for
Extract structured data from business documents into downstream systems
ETHORITY analysisnanonets.com ↗

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

How it is billed
Per block run on prepaid credits: Simple operations $0.02/run, Standard AI $0.10/run, Complex AI (data extraction, generative AI) $0.30/run; "No platform fees. No seat licenses."
Stated by the providernanonets.com ↗

Provider example: typical invoice workflow runs 4-6 blocks per document

Published price
Starter: "$50 in credits to start", no card required, then "$100/month for 100 credits"; block runs $0.02 / $0.10 / $0.30; Growth and Enterprise on quote
Unit: USD
Stated by the providernanonets.com ↗
Where the provider's own sources disagree

The provider’s own sources say different things here. The Starter page describes both $100 for 100 credits and per-run dollar rates; confirm how the two charges relate.

Where data is stored
Enterprise plan lists "data residency (US, EU, APAC)"; privacy policy: "Our servers are located in the United States, the EU, and India"
Stated by the providernanonets.com ↗
Where the provider's own sources disagree

The provider’s own sources say different things here. Contradiction: security policy states "All customer data is stored in the USA" (https://legal.nanonets.com/security-policy); sub-processor page lists all 18 sub-processors in USA. EU region/city not named. Privacy quote from https://legal.nanonets.com/privacy

Connects with
Email import, cloud storage connectors, API; exports to Google Sheets, QuickBooks, Google Docs, PostgreSQL, MySQL, MSSQL, Python script; Growth: ERP and database integrations; Enterprise: Salesforce, SAP, Oracle connectors, SIEM
Stated by the providernanonets.com ↗

Export list from https://docs.nanonets.com/docs/how-to-setup-your-workflow

Certificates and audit reports
Provider claim: "Nanonets is SOC 2 compliant and ISO/IEC 27001 certified"; SOC 2 Type I and Type II reports on request under NDA; auditor, scope and period not named
Stated by the providerlegal.nanonets.com ↗

SOC 2 is an attestation; GDPR/HIPAA (claimed on data-extraction page, HIPAA listed as Enterprise feature) are laws. ISO issuer not named; not registry-verified

Limitations
Handwriting "must be legible to the human eye"; "Results may vary depending on writing style, image clarity, and document structure"; Starter limited to 3 users
Documented by the providerdocs.nanonets.com ↗

User limit from https://nanonets.com/pricing

Open the full profile →
Read before you decide

Read AI-first as an operating model before you define the objective.

AI-first means changing how you work, not counting tools.

AI-first means changing how you work, not counting tools.

What has to change across the organisation: strategy, work, decision rights, knowledge, evidence and leadership.

See the map on one page →
AI does not scale by itself. Redesign the work.

AI does not scale by itself. Redesign the work.

Start with one objective, choose the simplest approach for each task and measure the cost of every result you accept.

See the map on one page →
961 AI offerings. Start with the job, not the tool.

961 AI offerings. Start with the job, not the tool.

A method for going from one business need to a shortlist of AI offerings you can defend.

See the map on one page →

Want a preview?

Our examples and calculators show how we assess value and assumptions. Using them is optional. For your assignment, ETHORITY does the preparation and the assessment.

Below, Capacity Conversion shows what AI-drafted quotes are worth to a sales team; the AI Journey Planner drafts the 30/60/90-day path the Blueprint finishes. All tools sit in the ETHORITY AI calculator suite.

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 →

AI Opportunity Map calculator

Ranks up to six candidate AI uses across the 24 topic areas of the Good AI Prism by the hours at stake, how ready you are and who is affected.

Pilot version · Scenario calculator

Open the calculator →

Capacity Conversion calculator

Shows how much of the time AI saves becomes money, including the 36-second checking test as a Scenario.

Pilot version · Scenario calculator

Open the calculator →

Questions buyers ask

Do we need complete data to start?

Start with what you have. Where the baseline is missing, the Blueprint names what to measure first.

Does it recommend a specific product?

It compares technology patterns. Product choice comes later, for example through an AI Decision Brief.

How long is it?

Long enough to answer eleven questions, with the decision on the first page so a CEO can read it in five minutes.

What if the answer is not AI?

Then the Blueprint says so. A process improvement or a measurement exercise can be the right next step.

Who works on it?

Sten Franke leads the analysis and signs the Blueprint; your accountable owner supplies the objective, today's workflow and the figures you have.

ETHORITY · LONG READ

Many AI plans start with a tool. Better ones start with the work.

A tool-first plan answers what a product can do. An objective-first plan answers what the business needs, and whether AI is the right way to get there.

A tool-first plan answers what a product can do. An objective-first plan answers what the business needs, and whether AI is the right way to get there.

Most AI plans begin in the wrong place. Someone sees a capable product, imagines where it could help and writes a proposal around it. The proposal is about the tool. Leadership then has to work backwards to the business case, and usually cannot.

The AI Business Blueprint begins with one business objective and the work behind it. What does the team do today? Which parts are repetitive, which need knowledge, which need judgement and which carry control risk? Only then does it ask where AI could change the work, through which pattern, and what that change depends on.

The baseline is honest by construction. Every figure is marked as known, provided by you, publicly observed or still required. So the economics show what is known and what is still open. Where the baseline is missing, the Blueprint says what to measure first, because a plan built on measured volumes holds at the first review. The insight on why saved hours are not AI value explains why that matters.

Technology is compared by pattern rather than by brand: assistant, retrieval, agent, workflow automation or an extension of a platform the company already owns. Each pattern gets its fit, its limits and what would have to be validated. The Good AI Prism market study supplies the market context, so the patterns describe what can be bought today.

The operating model is the section leaders read twice. It says what AI may do on its own, what people keep, and where approval and escalation sit. That is where an AI plan becomes an organisational plan.

The Blueprint ends with two to four options, one recommended path and a 30/60/90-day roadmap. The next step may be a bounded pilot, a process change or a measurement exercise. Your team should know what to do, who needs to take part and which evidence will support the next decision.

Sources and further reading

Scenario

A worked example

  1. The goalOne business goal. Where does AI help, and where not?
  2. Today’s workA map of today’s work and where AI could change it.
  3. The sequenceWhat to do now, next, and what can wait.
  4. What you receiveTwo to four options, each with its conditions.
  5. Your next stepA personal recommendation from Sten Franke for what to do next.
AI Business Blueprint, Sample page 3 of 3, how a finding looks (Scenario): Same-day quotes within 90 days, with prices under your control.

From the deliverable

AI Business Blueprint

An eleven-section plan for one objective, with the decision on page one, two to four options and a 30/60/90-day roadmap.

Explore the evidence and full sample pages
Scenario · example of the finished deliverableSee 3 sample pages →
Read the example as text

AI Business Blueprint, decision page (Scenario): In 90 days: same-day quotes, with prices under your control. Options: A Drafting assistant: Quote texts ready in minutes; prices stay manual; B Drafting and price suggestions: Requires 12 months of clean route history (Recommended); C Automated quotes: Sales lead approves quotes above an agreed price limit; 0 No change: Baseline: 2 working days per quote. 30/60/90-day roadmap: Read requests automatically; Draft quotes with AI · one branch; Connect pricing rules and history; Measure quote turnaround; Roll out to all branches. Start option B in one branch: AI drafts the quote and suggests the price.

1 / 5 · The goal

One business goal. Where does AI help, and where not?

Scenario

Read exhibit data

Scenario inputs and conditional examples; not a delivered client result or released recommendation.

AI Business Blueprint · Business goal · Scenario

Prepare customer quotes faster, with price approval kept by the sales lead.

  • Who asks: Logistics company
  • Today: 2 working days per quote
  • Goal: Same day

AI Business Blueprint

€495 net · one-time