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    THE INTELLIGENCE LAYER

    Every question. Every analysis. Every detail.INSTANTLY AT HAND.

    The digital twin of your business — queryable in your own words. Every answer ready to process, forward, decide.

    Illustrative example · predefined sample data, no customer results

    Which deals are losing substance right now?

    Goethe St. propertyOwnerDeal Condo WeberEnergy certificateBuyerNext step

    LLM asks Osiris → Osiris checks the critical path → deterministic answer

    Condo Weber is blocked: the energy certificate is missing and the buyer is waiting.

    In this example, the graph connects the deal, document and next step.
    POSITIONING

    Everyone automates. On what basis?

    Osiris is not another tool next to your CRM. Osiris is the intelligence layer above it: a digital image of your business you can query, verify and steer.

    What your CRM does

    e.g. PropStack
    • Stores data: properties, contacts, transactions
    • Runs workflows: emails, tasks, status changes

    What it doesn't know

    • Which relationship matters right now
    • Which deal is losing substance
    • Which document blocks the next step

    Automation without intelligence only accelerates the wrong process.

    THE SEQUENCE

    From data to targeted action.

    A complete system needs five capabilities. Osiris adds the two missing between CRM and language model: connecting and reasoning.

    IMPACTS does not require a knowledge graph. Augment means that the minimum sufficient, current and checkable context is available at the point of work. Osiris is a suitable system form when frequency, relationship density and changing sources justify a maintained deterministic knowledge layer.

    STORE

    Store data

    Your CRM

    CONNECT

    Make relationships visible

    Osiris

    REASON

    Draw conclusions

    Osiris

    SPEAK

    Answer questions

    Claude, ChatGPT

    ACT

    Act with precision

    Automation

    Automation is the goal. Intelligence is the foundation.

    Where you land

    Nothing slips through anymore.

    Blocked deals, missing documents and overdue contacts become visible before they cost money.

    You are no longer the bottleneck.

    Your team queries the twin — not you.

    The knowledge stays in the house.

    What lives only in heads today is in the graph tomorrow.

    Room for what humans do better.

    Automate logic, unfold empathy: the time you win belongs to the relationship, not to admin.

    ILLUSTRATIVE EXAMPLE

    Your company. As a relationship network.

    Illustrative graphs with predefined sample data. No live query or evidence of customer outcomes.

    Showing the example path …▍
    Weber DealEmail (Oct 12)Call (Oct 14)Energy CertificateSTAGNATION DETECTED

    What is a Knowledge Graph?

    Imagine a map of your business. Every customer, every property, every deal is a point. The Knowledge Graph draws the lines between them: Who knows whom? Which property belongs to which deal? Which agent serves which customer?

    Your CRM stores points. The Knowledge Graph understands the connections.

    Like Google Maps for your business knowledge – not just addresses, but also the fastest routes.

    Trace an example back to its sources

    Illustrative work object · no customer data · static

    Which basis supports the next step?

    This fixed example shows how source, finding, open question and human review belong together. It accepts no input and runs no AI system.

    Select a finding

    Sources in the same case

    Source available in illustrative example
    A · Work note · Selected

    Source excerpt

    The draft is ready. Approval has been requested.

    Reference: Example file / approval section

    Source context: Work note with the draft status and requested approval.

    B · Project plan · Selected

    Source excerpt

    Publication of the draft is planned.

    Reference: Example file / next step section

    Source context: Plan text describing the intended flow; it is not an approval record.

    C · Process observation

    Source excerpt

    When a basis is missing, a follow-up remains open until someone checks the item again.

    Reference: Example file / observation section

    Source context: Observation of the flow; it is not a performance metric.

    Finding

    Observation
    Both sources mention a draft and a plan. Neither source confirms approval.
    Finding
    The draft exists; permission to publish it is not established.
    Interpretation
    A finished draft and a planned step do not establish approval.
    Open / unknown
    It remains unknown who can approve and whether the current version is final.
    Next human check
    The responsible person checks the version and records approval at the source.
    Example boundary
    Illustrative status. It says nothing about a real project or publication.

    Responsibility stays with the person

    A responsible person checks the source, version and approval. This example decides nothing and publishes nothing.

    Proposed · not measured

    Before / proposed after

    This process view is explicitly illustrative. The after-state is a proposal, not measured customer impact.

    1. Intake

      Request arrives

    2. Source basis

      Reconcile data from several sources by hand

    3. Follow-up

      Send a follow-up when a basis is missing and wait for another check

    4. Decision

      A person checks the next step

    Marked change
    Source reconciliation and follow-up run in sequence and remain hard to see.
    Removed loop
    No check is silently removed. Only the invisible repetition should become traceable.
    Human responsibility
    A responsible person checks source completeness and approves the next step.
    How the change would be checked
    Observe whether the follow-up becomes traceable without skipping quality or approval checks.
    JUST PHYSICS

    WHY GOOD COMPANIES
    break against invisible friction

    MARGIN
    DIMENSION 1: HIGHER MARGINS

    Your margin doesn't burn in the market.

    It gets crushed internally.

    DIAGNOSTIC SIGNALSIGNAL-1

    "How much time goes into copy-paste?"

    Manual administration takes time. Where does avoidable friction arise?

    CUSTOMER DATA
    YOU
    OFFER
    In
    Out
    DIMENSION 2: FASTER RESULTS

    People are creatives, not routers.

    As long as data flows through heads, nothing scales.

    SYSTEM ALERTSIGNAL-2

    "VIP customer asks status → Panic?"

    If the truth only exists in someone's head, your company isn't a system. It's a craft workshop.

    TOP
    MAX EFFORT → MIN OUTPUT
    DIMENSION 3: BETTER SERVICE

    Formula 1 salaries for tire changes.

    Your most expensive people do the cheapest work.

    RISK FACTORSIGNAL-3

    "Knowledge only in heads? (Bus factor)"

    When top performers do admin work, you pay the highest hourly rate for the cheapest work.

    Scroll
    THE ARCHITECTURE

    Your team can already use it.

    No new logins. No training. I use the channels you already have.

    INTERFACE LAYER

    Asks for context

    Your AI interface

    Claude
    via MCP
    ChatGPT

    ★ INTELLIGENCE LAYER ★

    Understands & Connects

    The brain

    RELATE
    REASON
    Deterministic processingGRAPH-NATIVE

    OPERATIONAL LAYER

    Stores facts

    Your proprietary business knowledge

    DEMO

    See how the Intelligence Layer works

    Illustrative dialogue · predefined answers
    FLOW: LLM asks → Osiris delivers map → LLM acts.
    LONG-TERM VALUE

    Your company knowledge. Balance-sheet-worthy.

    Software subscriptions are rent. A Knowledge Graph is ownership. Osiris transforms monthly expenses into lasting company value.

    Model after model. Your graph stays.

    Since your knowledge is structured in the Intelligence Layer, you're independent of the model.

    At the same time, you benefit from ever-improving models. The smarter the model, the better it can identify patterns in your data and act inferentially – and you don't have to do anything.

    COMPANY VALUE
    2024202520262027+
    With Osiris (Your Asset)
    Standard Software (Rental)

    Your company becomes more intelligent with every AI update. Automatically. Without rebuilding.

    COMPOUNDING EFFECT

    YEAR1
    TRANSACTIONS300
    NODES10,000
    CAPABILITYBasic analyses, pattern recognition
    YEAR3
    TRANSACTIONS900
    NODES30,000
    CAPABILITYPredictions, anomaly detection
    YEAR5
    TRANSACTIONS1,500
    NODES50,000+
    CAPABILITYComplete business intelligence

    Every transaction makes the graph smarter.

    "The LLM is interface. The Graph is asset."

    DUAL-MODE INTELLIGENCE

    Pull + Push. One system.

    Predefined examples of questions and alerts. No live query, automatic action or customer measurement.

    Active Intelligence

    You ask → Osiris answers

    Contextual Retrieval

    USER

    "Which properties match investor Müller?"

    OSIRIS

    Osiris doesn't just search keywords. He understands preferences, budget history, and property features.

    Deep Analysis

    USER

    "Why is the Weber deal stalling?"

    OSIRIS

    Osiris analyzes the timeline: 'No usable follow-up activity. Energy Certificate missing. Customer has not responded to the latest contact.'

    Proactive Protection

    Osiris warns → You act

    The 'Silent Deal' Alarm

    TRIGGER

    Trigger: A deal has no usable activity and an open required document.

    OSIRIS ACTION

    Osiris: Sends Slack message to broker: 'Weber deal is falling asleep. Should I prepare a follow-up email?'

    The 'Quality Gate'

    TRIGGER

    Trigger: Property should go live, but photos are missing.

    OSIRIS ACTION

    Osiris: Blocks the upload: 'Quality check failed. Only 3 photos present. Minimum is 10.'

    Pull+Push=Complete Intelligence
    UNLOCK & SYNTHESIS

    Finally, capacity.

    OSIRIS clears away what costs you time — so you get back to what matters.

    Burdens · Osiris takes over
    BurdenL·01

    Missing details

    Listings go live incomplete — mandatory details are missing and no one notices in time.

    Osiris takes over
    BurdenL·02

    Open callbacks

    Who is waiting for what? The pile of notes decides, not urgency.

    Osiris takes over
    BurdenL·03

    Unanswered enquiries

    Prospects write in the evening — and hear nothing until the lead has cooled.

    Osiris takes over
    BurdenL·04

    Unclear approvals

    Who approved what? Decisions get stuck in inboxes.

    Osiris takes over
    BurdenL·05

    Forgotten search profiles

    Older search requests fit new listings — only nobody sees it.

    Osiris takes over
    Capabilities · Possible again & now
    Possible againB·01

    Individual advice

    Time for the conversation that makes the difference.

    From your existing book
    Possible againB·02

    Callbacks with full context

    Property, history, open points — all ready when you call.

    From your existing book
    Now possibleN·01

    Renovation scenarios as an advisory artefact

    Costs and value levers on the specific property.

    New with Osiris
    Now possibleN·02

    Property-specific answers in the inbound dialog

    Your website answers property questions itself and pre-qualifies.

    New with Osiris

    Capabilities and boundaries

    What is evidenced — and what a project must resolve

    Choose a system. Only connections with a documented relationship are shown.

    Demonstrated in the stated scope

    Read published content

    Concrete example
    Three documented GET operations return published articles and their AEO representation.
    Interface boundary
    Public unauthenticated read API; no write operation or access to private content.
    Prerequisites
    Published slug; supported locale and representation defined by the OpenAPI contract.
    Limitation
    Evidence covers this website’s published content contract, not a customer integration.
    Proof kind
    Maintained public contract

    Evidence state: Local OpenAPI contract read on 12 Sep 2026.

    Text overview of all matching capabilities
    • Read published content — Demonstrated in the stated scope. Maintained public contract. Public unauthenticated read API; no write operation or access to private content. Evidence covers this website’s published content contract, not a customer integration.
    • IMPACTS as a versioned file contract — Demonstrated in the stated scope. Public versioned source. Public file and method reference; no evidence of running automation. The contract describes a method. It does not prove customer outcomes or system availability.
    • Protected renovation-check MCP — Still to check. Public metadata observation. Separate protected service; not part of the website’s public REST API. Metadata proves discoverability. A successful authenticated tool call remains to be checked.
    • Connect a CRM or operational system — Project-specific work. No proof recorded. Project work after system and process review; not a generally available integration. Feasibility, write permissions, and operational responsibility are checked per system.
    Technical details: architecture, interfaces and operating boundaries
    UNDER THE HOOD

    Built for the Claude ecosystem

    14 MCP tools. OAuth 2.1. Per-tenant isolation. Production-grade infrastructure for enterprise AI.

    Nothing slips through anymore.

    Automation is the goal. Intelligence is the foundation. The first step is sight: see, streamline, automate.

    What you get:

    • Exclusive Knowledge Graph (Your digital corporate memory)
    • Private Intelligence Server (Neo4j on your cloud)
    or
    See how it works

    Founder-led implementation. Personal attention.