Complete AI Training

AI app for management · no coding needed

Standard operating procedure assistant

Procedure versions and local applicability are visible in every answer.

Made for: Managers at franchise service businesses

What Standard operating procedure assistant looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Teams apply outdated or location-inappropriate procedures.

What it gives you

Cited procedure guidance

What you give it

Approved procedureslocationsownership metadata

How it works, step by step

  1. Retrieve current steps
  2. Filter location rules
  3. Cite relevant sections
  4. Flag conflicts
  5. Request owner clarification
  6. Log missing guidance

What you see on screen

  • Procedure search
  • version detail
  • update requests

Build it yourself with your AI system

Build this app yourself, no coding needed

Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.

Sign in to see how to build it yourself

Build a quick version to try, or get the full app pack for Standard operating procedure assistant with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.

Sign in Become a member

4 Have it built for you days to a few weeks

Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Standard operating procedure assistant with you.

Have Nexibeo build it

What's in the app pack

Included in the Complete AI Training membership.

  • The building instructions your AI follows, step by step
  • The questions your AI will ask you about your business before it starts
  • A clickable demo you can open in your browser, to see how it should work
  • A detailed blueprint of the screens, the information it keeps and the checks it runs

Become a member to get the app packAlready a member? Sign in

The files, for the technically curious
  • START-HERE.mdHow to build it with your own AI (read first)3 KB
  • README.mdOverview and links1 KB
  • questions.mdQuestions to answer before you build2 KB
  • prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare21 KB
  • prompt-vps.mdThe same build on your own server (Docker)21 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
  • demo/index.htmlThe working demo on sample data195 KB

Questions

Do I need to know how to code?

No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.

What does it cost?

The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.

How long does it take?

The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.

Can I change it to fit my business?

Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.

More detailsHow the AI works, safeguards and what to build first

For managers at franchise service businesses, turn approved procedures, locations and ownership metadata into cited procedure guidance. Address the recurring problem: teams apply outdated or location-inappropriate procedures. The pilot measures correct retrieval and outdated procedure incidents against the buyer's current method, before the larger build.

Add an approved collection, assign source owners and access rules, test representative questions, let users ask questions, retrieve supporting passages, answer or request clarification, and hand off unresolved cases with their context. Start with approved procedures, locations and ownership metadata and finish with cited procedure guidance.

How the AI works

Retrieve permitted passages and generate answers constrained to those sources. Use structured rules for transactional facts. Detect missing context and refuse to invent unsupported details. Store reviewer corrections for evaluation and controlled knowledge updates.

Safeguards

Confirm owners, decisions and commitments. Keep employee discussion notes access-controlled and avoid covert individual performance inference. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.

What to build first

Begin with managers at franchise service businesses and one recurring use case. Build the first two modules: retrieve current steps; filter location rules. Provide operator assistance for the third module: cite relevant sections. Deliver cited procedure guidance through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.

What it can connect to

Team updates, calendars, project records and agreed management routines. Approved knowledge repositories, websites, service desks and staff messaging systems. Validate access inheritance and use read-only ingestion for the initial deployment. These are candidate integration categories, not verified supported connectors.

The screens in detail

Give end users a simple search or conversation surface with short answers and expandable citations. Administrators get source status, unanswered questions and handoff queues. Show the source date beside relevant answers. Keep conversation context available to the staff member receiving an escalation. In this product, the first view is procedure search, followed by version detail and update requests.