For AI Value Architects in B2B
Find the AI opportunities worth investigating.
nielsai structures AI business scenarios across functions and processes. See what could change, what it requires, and how to take the next qualified step.
A scenario is an opportunity, not proof. Source claims, reported implementations and measured outcomes are shown separately.
01Explore by business area
Start with the work you know
The library covers the whole business, not one department. Pick the area closest to your own work; process codes and frameworks stay under the surface.
Sales and marketing
Pipeline hygiene, quoting, renewals, content and follow-up.
Customer service
Ticket triage, response drafts, knowledge lookup and quality review.
Finance and HR
Invoicing, reconciliation, reporting, screening and documentation.
Procurement and operations
Supplier follow-up, order handling, scheduling and forecasting.
Product development
Requirements, test coverage, documentation and feedback analysis.
IT and leadership
System overview, decision support, risk screening and board material.
The full area navigation is under construction. The link shows the current state, not the finished library.
02One format
What every scenario helps you understand
Each scenario answers the same ten questions in the same order, so two opportunities can be compared directly.
- 01The business need it addresses
- 02The context it fits
- 03Today's workflow and the proposed one
- 04AI's role and where human judgement stays
- 05Prerequisites in systems, data and roles
- 06The value hypothesis and how it could be measured
- 07Solution paths: reuse, configure, buy or build
- 08Limitations and risks
- 09Basis and knowledge status
- 10The next qualified step
03From inspiration to action
Five steps from scenario to learning
- 01
Discover
Find a relevant scenario across functions and processes.
- 02
Understand
Read the workflow, the prerequisites and the uncertainty before anything is decided.
- 03
Adapt
Fit the scenario to your own context and compare solution paths.
- 04
Test
Define a bounded test with a baseline and success criteria.
- 05
Learn
Record what happened and what should happen next.
Discovery is live in the public preview. The later steps are the working method, described as direction until the product carries them.
04Know what you know
Four states, kept apart
Scenario
A possible use, described and structured. Not a documented result.
Vendor claim
A source's statement about its own product. Not independent proof.
Reported implementation
Described in use by someone. The effect is not necessarily measured.
Measured outcome
A result with context, method, time and limitations stated.
Unknown is a valid value. No field is completed with a plausible estimate.
05Who it is for
Built for the work between business and technology
For business and process owners, enterprise and business architects, transformation leaders, AI leads, IT leaders and advisers. An AI Value Architect is the work you do, not a title you need.
About nielsaiWhere nielsai stands
An honest status, not a launch film
The library is under construction. nielsai has no customers or proprietary customer outcomes yet. Rasmus is the first active user and editor. External sources, illustrative scenarios and measured outcomes are kept visibly separate.
06Questions and answers
Frequently asked questions
What does nielsai offer?
nielsai helps companies work out where AI creates value and whether a specific AI investment should go ahead. At its core is a library of AI scenarios, organised by business area and process, so you can find what resembles your own work. Around it sit a public guide to AI strategy, a method from scenario to qualified decision, and the Value Case, which puts a baseline, a range and stop criteria on an idea. Advisory work from Rasmus Sloth Nielsen can be added when a decision calls for it.
How is nielsai different from consultancies and vendors' own tools?
nielsai does not earn money from the solution you choose. There is no commission from vendors, and nobody can buy a better placement. A vendor claim is shown as a vendor claim, not as a measured outcome, which is why an assessment can end with the recommendation not to proceed. Every claim carries its source and its knowledge status, so you can see what a recommendation rests on.
Do you handle implementation?
No, and that is deliberate. Whoever builds the solution should not be the one deciding whether it gets built. Instead you get the decision basis, requirements you can take to market, and an assessment of the solution paths: reuse, configure, buy or build.
How does nielsai relate to Spekir and Atlas?
nielsai is built by Spekir, which also develops Atlas, an enterprise architecture platform. When Atlas is relevant to an assessment, that is stated clearly, and Atlas is judged by the same criteria as the alternatives.
What does a typical engagement look like?
An engagement follows the method's five steps: discover a scenario, check fit and prerequisites, inspect evidence and assumptions, shape the value case, and take the next qualified step. After each step there is a decision to continue, narrow or stop. You can start and stop where it makes sense, and a test ends with a measurement of what actually happened.
Who will I be working with?
Rasmus Sloth Nielsen, who has worked in enterprise architecture for 25 years, including at Grundfos, Arla, Kamstrup and Accenture. AI agents handle collection, analysis and drafts. Rasmus reviews the result and puts his name to every assessment.
What types of organisations is nielsai for?
Mainly mid-sized Nordic companies with an IT or architecture function facing a specific AI decision, and the advisers who help them. The guide and the method also serve smaller companies that want to know where to begin.
What does it cost?
The AI strategy guide and the method are free and require no sign-in. The scenario library requires sign-in once it opens. Advisory work is agreed case by case, and you get a specific price before you say yes.
Do you work on-site or remotely?
Mostly remotely, so the work can be shared across your organisation as it progresses. Workshops on-site are arranged when they add something a video call cannot.
Where are you located, and do you work internationally?
In the Aarhus area of Denmark. Danish is the working language, the site is available in Danish and English, and Nordic and international companies are welcome.
What happens to our data?
Private work behind sign-in is yours and is never mixed into the public library. The Data handling page, linked in the footer, separates what is verified today from what is still a design goal.
Not sure if nielsai is the right fit?
Write briefly to Rasmus at contact@nielsai.com about the decision you are facing. A first 30-minute conversation is free.
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A short note when the library grows
The library is under construction. Leave your address, and we send one short email when new scenarios and documented material are published.
One short email when we publish new material. No campaigns.
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