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Surviving ISO 19650 Information Requirements with AI

Your client's information requirements arrive as a PDF. Watch Claude turn one into a pre-appointment BEP, a scope and a RACI in Plannerly, then ask Javis what's missing - with the slides, chapters and the AI question list.

Episode 3 - aired Thursday 22 October 2026

How to survive as a BIM Manager · Episode 3

Surviving ISO 19650 Information Requirements with AI

Build it. Connect it. Just ask Javis. Most owners aren't sure what to ask for, and requirements copied from the last job create work nobody needs. Three ways into your project's information requirements - build on the Plannerly API, connect your own AI with Plannerly MCP, or just ask Javis - on one structure your supply chain can check against.

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AI Survival Kit: the example project, the slides and the AI question list

Everything from Episode 3: the example project to explore and copy, all 32 slides, the 40 questions to ask Javis, Claude or ChatGPT, and the EIR explained.

  • 1 example project
  • 3 PDFs
  • Free

The slides

Click through the slides

All 32 slides from the episode. Use the arrows, swipe, or download the PDF.

Title slide: How to survive as a BIM Manager, Episode 3 - Surviving ISO 19650 Information Requirements with AI. Build it (API). Connect it (MCP). Just ask Javis.
Diagram: an owner conversation goes to Javis, which builds the project live - information requirements, file naming convention, classification, level of detail, RACI, milestones and dates, each ticked off.
The whole difference: without structure, AI guesses differently every time. Plannerly gives it the structure - the API, MCP and Javis each in one line.
The ISO 19650 principle: every deliverable should trace back to a requirement.
The first problem: the owner doesn't know what they want, over a reaction clip of a puzzled face.
So, naturally, it gets copied from another project, over a reaction clip captioned "They're the same picture".
A file called EIR_copied_from_the_hospital_job.pdf. Section 14: operating theatre ventilation requirements. You're building a warehouse.
Six warning labels scattered across the slide: owners don't know what to ask for, copied from another project, half of it nobody needs, you can't check against a PDF, requirements that never become tasks, and you, interpreting all of it.
Don't worry, we'll just use AI, over a clip of a dog typing on a laptop captioned "I have no idea what I'm doing".
Ask it the same thing twice, get two different answers, over a cartoon of two identical characters pointing at each other.
To be fair to AI: it's not that it can't. It needs something to stand on.
Beta preview: we're giving your requirements something to stand on. Live demo, then join the beta.
What if?
What if your requirements were data a system could read? Not a PDF - structure your own tools can use directly.
What if the client saw their requirements defined live? In a live online environment, not a static PDF.
What if the AI you already use could see your project? With the Claude and ChatGPT logos.
What if you could just ask your project? And get the answer with the evidence attached.
Twelve tiles, one per building block every requirement hangs off: content, status, tasks, assignments, RACI, information requirements, checklists, dates, dependencies, milestones, cost and more.
Three numbered cards: 1, Plannerly API - build anything, for teams with developers; 2, Plannerly MCP - bring your own AI, for teams already using AI; 3, Javis - just ask, for everyone.
Part 1 of 3, build anything: Plannerly API. Every requirement, task and responsibility - readable by anything you build.
Read it from anywhere: four points about the Plannerly API beside a diagram of one call - your code requests the information requirements and Plannerly answers with live project data.
Build what you need: new team members, project start-up, dashboards and live data, beside a diagram of Plannerly feeding a live client dashboard, Power BI and your own systems through the API.
Part 2 of 3, bring your own AI: Plannerly MCP. The AI you already use, talking to your project - with the structure underneath it.
Claude / ChatGPT: four points about bringing your own AI, beside a diagram of Claude or ChatGPT asking which requirements have nobody Responsible and getting the answer from Plannerly through Plannerly MCP.
Answer the client's requirements: four points beside a diagram - the client's requirements PDF goes to Claude, and the Plannerly project fills with the EIR, a pre-appointment BEP and responses section by section.
Part 3 of 3, just ask: Javis. Already inside Plannerly. Nothing to connect, nothing to build.
Ask your project: four points about Javis beside an MIDP where two tasks, Specification and Fire strategy, are highlighted because Javis found they have no Responsible party.
Where Javis is going, first look: requirements, by conversation.
Talk it through: four points beside a diagram of an owner meeting, where Javis turns the conversation into document sections, standards, file naming, classification, level of detail and acceptance criteria.
Your AI Survival Kit: three things to take with you - the example project, the question list and a place in the beta.
Next time on How to survive as a BIM Manager: Surviving the seven CDEs, with the logos of Autodesk, Procore, SharePoint, Dropbox, Box, Egnyte and ProjectWise. Thursday 5 November, same time, same link.
Thank you: build it (API), connect it (MCP), just ask Javis. Join the beta by typing "add me" in the chat.

Download the slides (PDF) (opens in a new tab)
Read all the slide text
  1. Slide 1: Surviving ISO 19650 Information Requirements with AI

    How to survive as a BIM Manager - Episode 3.

    Surviving ISO 19650 Information Requirements with AI. Build it (API). Connect it (MCP). Just ask Javis.

  2. Slide 2: What if you could just talk it through?

    Sit with the owner. Talk about what they need. Watch the project build itself.

    How it works: you talk (an owner conversation), Javis listens and builds, and your project is built live - information requirements, file naming convention, classification, level of detail, responsibilities (RACI), milestones and dates.

  3. Slide 3: The whole difference

    Without structure, AI guesses differently every time. Plannerly gives it the structure.

    Plannerly API builds it into anything you use. Plannerly MCP brings the AI you already have. Javis lets you just ask.

  4. Slide 4: The ISO 19650 principle

    Every deliverable should trace back to a requirement.

    The owner's needs, cascading down into exactly what each team delivers - and why. In theory, nothing gets made that nobody asked for.

  5. Slide 5: The first problem: the owner doesn't know what they want

    The owner doesn't know what they want.

  6. Slide 6: So, naturally: it gets copied from another project

    It gets copied from another project.

  7. Slide 7: EIR_copied_from_the_hospital_job.pdf

    Section 14: operating theatre ventilation requirements. You're building a warehouse.

  8. Slide 8: Add it all up: where most information requirements end up

    This is where most information requirements end up:

    Owners don't know what to ask for
    Copied from another project
    Half of it nobody needs
    You can't check against a PDF
    Requirements that never become tasks
    And you, interpreting all of it

  9. Slide 9: Don't worry: we'll just use AI

    We'll just use AI.

  10. Slide 10: Ask it the same thing twice

    Get two different answers.

  11. Slide 11: To be fair to AI

    It's not that it can't. It needs something to stand on.

    Without a structure, every answer starts from scratch - and every correction snowballs. Give it a framework, and it stops starting from scratch.

  12. Slide 12: Beta preview

    We're giving your requirements something to stand on.

    Live demo - then join the beta.

  13. Slide 13: What if?

    What if?

  14. Slide 14: What if your requirements were data a system could read?

    Not a PDF - structure your own tools can use directly.

  15. Slide 15: What if the client saw their requirements defined live?

    In a live online environment, not a static PDF.

  16. Slide 16: What if the AI you already use could see your project?

    Claude, ChatGPT or whichever AI you prefer - reading your real structure.

  17. Slide 17: What if you could just ask your project?

    And get the answer with the evidence attached.

  18. Slide 18: The structure your requirements stand on

    Every requirement hangs off the same building blocks - with room for whatever else your project tracks.

    Content - where the requirement is written
    Status - where it has got to
    Tasks - the work that delivers it
    Assignments - the named people doing it
    RACI - who answers for it
    Information requirements - what's actually needed
    Checklists - what "done" looks like
    Dates - when it's due
    Dependencies - what it's waiting on
    Milestones - where it lands
    Cost - what it's worth
    And more - whatever else your project tracks

  19. Slide 19: Three ways in

    How much do you want to build yourself?

    1. Plannerly API - build anything. You build and integrate it: any tool, any dashboard. For teams with developers.
    2. Plannerly MCP - bring your own AI. Claude or ChatGPT, connected: agents that run the workflow. For teams already using AI.
    3. Javis - just ask. Built in, nothing to set up: ask, and it answers. For everyone.

  20. Slide 20: Part 1 of 3: Plannerly API - build anything

    Every requirement, task and responsibility - readable by anything you build.

  21. Slide 21: Plannerly API: read it from anywhere

    If you've got people who code, start here.

    Your API key, made in Plannerly - we'll show you exactly where to find it.
    One documented call away - information requirements, tasks, RACI and dates, all in the API docs.
    Your project, not a sandbox - real requests returning your real, live data.
    Your permissions, nothing more - each key sees exactly what its owner can see.

    One for the chat: if you could pull one thing out of every project automatically, what would it be?

    How it works: your code makes one request for the project's information requirements with its key, and Plannerly answers with live project data - for example a federated model at level of detail 300, the architect responsible, due 20 November 2026.

  22. Slide 22: Plannerly API: build what you need

    Three things teams build first. We'll show you the most visual one.

    New team members - add someone once and they're set up everywhere they need to be.
    Project start-up - a new project arrives with its structure, team and standards in place.
    Dashboards - requirements and progress in the shape the client wants.
    Live, not exported - whatever you build reads the project as it changes.

    One for the chat: what does your client actually want to see each week?

    How it works: Plannerly, through the API, feeds a live client dashboard of requirements delivered by team, Power BI and your own systems. Built once. Reads the project live. Nobody retypes a requirement.

  23. Slide 23: Part 2 of 3: Plannerly MCP - bring your own AI

    The AI you already use, talking to your project - with the structure underneath it.

  24. Slide 24: Plannerly MCP: Claude / ChatGPT

    Your AI, your workflow - with your project's real structure underneath.

    Your project, inside your AI - ask in Claude or ChatGPT, whichever your team already uses.
    Answers from your real project - it reads the sections, tasks, RACI and requirements.
    Only what you're allowed to see - it connects with your access, nothing more.
    Alongside everything else it does - your AI stays your hub; Plannerly becomes one of its sources.

    One for the chat: which AI does your team already use - Claude, ChatGPT, something else?

    How it works: asked "Which requirements have nobody Responsible?", Claude or ChatGPT answers through Plannerly MCP that 3 requirements have no Responsible party yet - Specification, Fire strategy and Schedule.

  25. Slide 25: Plannerly MCP: answer the client's requirements

    Most requirements arrive as a PDF - so that's where we start.

    Drop in the client's PDF - their requirements, exactly as they sent them.
    Get a first-draft response - a pre-appointment BEP, written into your Plannerly project.
    Built into the project, not a chat - the requirements and your response live in Plannerly, ready for the team.
    You stay in charge - it's a first draft for you to check and change.

    One for the chat: what lands on your desk first on a new project - an EIR, a brief, an RFP?

    How it works: the client's requirements PDF goes to Claude - "Here are my client's requirements. Set up the project and draft our response." Your Plannerly project then holds the client requirements (EIR), a pre-appointment BEP and responses section by section, ready for the team.

  26. Slide 26: Part 3 of 3: Javis - just ask

    Already inside Plannerly. Nothing to connect, nothing to build.

  27. Slide 27: Javis: ask your project

    The fastest way in: open the project and ask.

    Already in the app - no setup, no separate login, no connection to manage.
    Questions you'd actually ask - progress, files needing review, responsibility gaps, blockers.
    Answers with the evidence - the tasks, the files and the people, linked, not summarised.
    Only what you're allowed to see - it checks your permissions on every single question.

    One for the chat: what's the one question you'd ask your project if you could just ask it?

    How it works: asked "Are there responsibility gaps?" in an MIDP, Javis answers that 2 tasks have no Responsible party - Specification and Fire strategy - with the evidence attached.

  28. Slide 28: Where Javis is going: requirements, by conversation

    Sit with the owner, talk it through, and watch the project build itself as you go. Sections, standards, naming, classification, level of detail - all of it.

    This is where it's all heading - and the part the beta is for.

  29. Slide 29: Javis: talk it through

    Where all of it is heading - the part you can get into early through the beta.

    Sit with the owner and just talk - about what they actually need, in their words, not the template's.
    Javis fills in the scope as you go - sections, standards, naming, classification, level of detail.
    Or paste the recording in afterwards - and it builds the whole set in one go.
    It talks back - asks what's missing, and checks with you before it changes anything.

    One for the chat: what's the hardest thing to get an owner to tell you?

    How it works: in an owner meeting - "We need it for facilities management." "Which systems will you maintain?" "Mechanical, fire, and the lifts." "Got it - setting that up now." - Javis builds the project's document sections, standards referenced, file naming, classification, level of detail and acceptance criteria.

  30. Slide 30: Your AI Survival Kit

    Three things to take with you:

    The example project - a complete project to explore and copy.
    The question list - what to ask Javis, Claude or ChatGPT.
    A place in the beta - type "add me" in the chat.

  31. Slide 31: Next time: Surviving the seven CDEs

    Next time on How to survive as a BIM Manager: Surviving the seven CDEs. Autodesk, SharePoint, Procore, Dropbox - and that one folder on somebody's desktop. Making every CDE on your project actually work together.

    Autodesk, Procore, SharePoint, Dropbox, Box, Egnyte and ProjectWise.

    Thursday 5 November - same time, same link.

  32. Slide 32: Thank you

    Build it (API). Connect it (MCP). Just ask Javis.

    Join the beta: type "add me" in the chat.
    Every step's full walkthrough - free: plannerly.com/training
    Episode 4 - Surviving the seven CDEs: Thursday 5 November, same link.

Most ISO 19650 information requirements arrive as a PDF, and a PDF is something people read, not something a system can check. In Episode 3 of How to survive as a BIM Manager we show three ways to turn requirements into structured project data that AI can work with: build on the Plannerly API, connect the AI you already use through Plannerly MCP, or just ask Javis inside Plannerly. In the live demo, Claude turns a client's exchange information requirements (EIR) into a pre-appointment BIM execution plan, a scope, a RACI matrix and checkable information requirements in one session.

What are ISO 19650 information requirements?

Information requirements are the appointing party's written description of the information it needs, why it needs it and when. ISO 19650-1 sets them up as a cascade, so every deliverable can trace back to a reason somebody asked for it:

Requirement Full name What it answers
OIR Organizational information requirements What the organization needs to know to run its business and its estate
PIR Project information requirements What the client needs to make decisions on this project
AIR Asset information requirements What the operator needs about the finished asset - for example serial numbers and asset IDs at handover
EIR Exchange information requirements What each appointed party must deliver, in what form and at which milestone

The principle is simple: in theory, nothing gets produced that nobody asked for. That only works when each requirement is connected to the task, the team and the milestone that delivers it.

Why do information requirements go wrong?

Usually for one of four reasons, and most projects have more than one:

  • The owner doesn't know what to ask for. Ask for their information requirements and you often get a blank stare, followed by "can we have ISO 19650 and BIM on this project?"
  • They're copied from another project. The classic is the EIR copied from the hospital job, with a section on operating theatre ventilation, issued for a warehouse. Teams even see their own requirements from a previous bid come back to them on a later project.
  • Half of it has no customer. Copy-and-paste requirements ask for far more than anyone will use, and every item still has to be produced.
  • A PDF can't be checked. It's a block of text that never becomes tasks someone owns, so nobody can show which requirements have been met.

In the poll at the start of the session, most of the audience said their requirements arrive as a PDF from the client. Many delivery teams end up writing the client's requirements for them before they can plan their own work.

Can AI write your information requirements for you?

It can draft them, but not reliably on its own. Ask a general-purpose AI the same question twice and you can get two different answers, which doesn't work in a contractual environment where requirements have to be repeatable and auditable. AI needs something to stand on: a fixed structure of requirements, tasks, responsibilities, milestones and checks. With that underneath, it stops starting from scratch every time.

In Plannerly every requirement hangs off the same building blocks: content, status, tasks, assignments, RACI, information requirements, checklists, dates, dependencies, milestones and cost. That shared structure is what the API, MCP and Javis all read and write.

What are the three ways to connect AI to a BIM project?

Plannerly API Plannerly MCP Javis
Tagline Build anything Bring your own AI Just ask
Best for Teams with people who write code Teams already using Claude or ChatGPT Everyone else - no setup
What you need An API key Your AI tool, connected to Plannerly A Plannerly project
Typical use Dashboards, onboarding, project start-up Drafting a BEP from an EIR, setting up scope and RACI "Are there any responsibility gaps?"
Status (22 Oct 2026) Available Beta - join below Beta - join below

Many companies use all three, because different people on the same team sit at different places on that scale.

How do you create a Plannerly API key?

  1. Open API keys from your account settings, from your profile, or from the bottom of a project's settings.
  2. Click New key and give it a name you'll recognise later.
  3. Set an expiry date. We strongly recommend one rather than "no expiration".
  4. Choose read and write access for each part of Plannerly the key needs.
  5. Use it in your code to call the API and get your live project data back.

A key can never see more than the person who made it. It inherits that person's roles and permissions in each project, so you can let anyone on the team create keys while the project still decides what they can read and change.

What can you build on the Plannerly API?

  • Dashboards in the shape the client wants. The episode shows a sustainability dashboard - embodied carbon, measures and progress - built entirely from live project data.
  • New team member onboarding. Add someone once and set them up in Plannerly automatically.
  • Project start-up. Start a new project from your template so it arrives with its structure, team and standards in place.

What is MCP, and what does it do for a BIM manager?

MCP, the Model Context Protocol, is an open standard that lets an AI assistant such as Claude or ChatGPT use another system's tools and data. With Plannerly MCP your AI can read and write your Plannerly project, with your permissions and nothing more. You keep chatting in the AI you already use; Plannerly becomes the structured dashboard where the work lands.

How do you turn a client's EIR into a pre-appointment BEP with AI?

This is the demo Akos Hamar, Plannerly's COO, ran live, connecting Claude to Plannerly. The client's EIR was a well-prepared one for a mobility hub, assembled from the OIR, PIR and AIR, with goals, milestones and standards.

  1. Give Claude the client's EIR (the PDF, attached) and ask for a pre-appointment BIM execution plan.
  2. Answer its questions. Which past projects should it learn from (a bridge, a railway and a highway project), what worries you most (models from different teams that might not line up) and how you plan to win (one federated model).
  3. Let it build the project. A new project appears in the tender workspace, with the EIR stored as the reference document and a draft pre-appointment BEP whose sections answer the EIR's questions, using your past projects and templates.
  4. Review every answer against the requirement it answers. SmartFields and references are filled in from the EIR, so each section traces back to a client need.
  5. Invite the teams and build the RACI. Make a team accountable for each section, name the responsible person and add anyone to be consulted, including the appointing party.
  6. Check the charts. In the demo, around 90% of the document sections still needed an owner, which is exactly where to focus next.
  7. Open the scope. Three milestones - three data drops, the last one handover - came straight from the EIR, with tasks assigned to civil, structural and MEP teams and images showing how much geometry each milestone needs.
  8. Check the information requirements per milestone. Classification for coordination, manufacturer information for technical design, serial number and asset ID for handover - each with a checking rule that will pass or fail the delivered information.

The AI doesn't make the decisions. It gets you to a structured first draft quickly, so the time goes into refining the plan with your designers, suppliers and client rather than creating it from scratch.

What is Javis?

Javis is the assistant built into every Plannerly project's chat panel. There's nothing to connect and nothing to build: open the project and ask. In the episode we asked "What responsibility gaps can you identify for the project?" and Javis named the tasks - carriageways and a steel truss among them - where a team was assigned but nobody was accountable for delivering.

Every answer is sourced, so you can see which tasks, files and people it came from. And it knows the rules: when Clive Jordan, Plannerly's co-founder, asked Javis to add him to the traffic signals task, it politely said no - he isn't on the team that delivers it - and suggested asking the task owner. Javis 1, Clive 0. That's exactly the kind of mistake it's there to stop, live webinar or not.

Javis is in beta, and every answer has Helpful and Needs improvement buttons, so tell us when it gets one wrong.

Does Plannerly use your project data to train AI?

No. We do not learn from your data. Javis gets better at the framework - ISO 19650, requirements, responsibilities - but the data in your projects stays yours.

Where is this heading?

Requirements by conversation. Sit with the owner, in a meeting or on a call, and talk through what they need: the standards to follow, naming and classification, level of information need, how statuses and payments work, roles, language and time zone. Plannerly builds the project as you talk, live on screen or afterwards from the transcript. Voice conversations with Javis are on the way too.

Want in early? Join the beta for Plannerly MCP and Javis - open the chat on plannerly.com and type "add me".

Questions

Questions about AI and information requirements

How do I create a BEP from an EIR with AI?
Give the client's EIR to an AI that's connected to your project's structure, not a blank chat. In Episode 3, Claude - connected to Plannerly - read the EIR, asked which past projects to learn from, and drafted a pre-appointment BEP whose sections answer the EIR's questions, plus the scope, milestones and RACI. You then review and refine it with your team. Watch the demo from 15:37.
What's the difference between OIR, PIR, AIR and EIR?
They're the ISO 19650 cascade of information requirements. The OIR covers what the organization needs to run its business; the PIR what the client needs to decide on this project; the AIR what the operator needs about the finished asset; the EIR what each appointed party must deliver, in what form and when. The kit on this page has the EIR explained, and the OIR, PIR and AIR templates cover the rest.
What is MCP in construction?
MCP, the Model Context Protocol, is an open standard that lets an AI assistant such as Claude or ChatGPT use another system's tools and data. For a BIM manager it means your AI can read and update the project itself - requirements, tasks, responsibilities - instead of you copying and pasting between a chat and your plan.
Can Claude or ChatGPT read my BIM project?
Yes, through Plannerly MCP (in beta). Once connected, they see the projects, requirements, tasks and files you can see in Plannerly - and nothing more - and answer with links to the evidence.
Is it safe to connect AI to my project data?
Your AI acts as you: it has exactly your roles and permissions in each project, the same as an API key, which never sees more than the person who created it. The first release can't invite people, change permissions or delete projects.
Does Plannerly use my data to train AI?
No. We don't learn from your data. Javis gets better at the framework - ISO 19650, requirements, responsibilities - but your project data stays yours.
Do I need to know how to code?
No. The API is for teams who want to build their own dashboards and automations. Plannerly MCP works from the AI chat you already use, and Javis needs nothing at all: open a project and ask.
Will AI replace the BIM manager?
No. In the demo the AI drafted the plan but made none of the decisions: which projects to learn from, what to worry about, how to win and who owns what were all human calls. It moves your time from creating the first draft to refining it with the team.
How do I join the Plannerly MCP and Javis beta?
Open the chat on plannerly.com and type "add me". We'll add you as the beta opens up.
Where can I get the slides from Episode 3?
Click through them on this page or download the slides as a PDF - 32 slides, searchable text.

Try it on your own project

Start free, bring your client's requirements, and ask Javis what's missing.

Want Plannerly MCP and Javis early? Open the chat and type "add me".

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