Explore the architecture

Decision Infrastructure. For investment decisions.

AI interprets. Software computes. Governance controls. People retain authority.

DECISION RECORDINVERSIQ · DECISION LAYERINTERPRETCOMPUTEGOVERNHUMAN APPROVALSIGN-OFFYOUR STACK

For the decisions that carry the most weight.

  • Investment decisions

    From first underwriting to committee approval, with every step and every sign-off on the record.

  • Credit decisions

    See the data, the model and the policy behind each credit call, and who had the authority to make it.

  • Portfolio decisions

    Make hold, sell and capital calls on the same footing every time, with the operating data and the policy in view.

The product

One workspace for the work behind every decision.

Ask questions, hand off the preparation, see what needs attention and take it to sign-off, across the documents, models and systems you already use.

Get answers you can check.Every answer cites its sources.

Ask

Project Meridian

Maya Chen · 09:52

What supports the €92.00 ERV in the designated run?

Less than the run assumes. The six lease comparables range from €84.00 to €88.00, median €86.251. The valuation report puts warehouse ERV at €88.002. The run’s €92.00 sits above both.

1Lease comparables
204_Valuation_Report.pdf

Not covered: no letting in the set after 9 Jan 2026.

Ask about this deal

Ask anything

Ask about a deal, a document or a model in plain language. Every answer cites the sources it used and says what they don't cover.

  • Answers cite their sources
  • Says what the sources don't cover
  • Deals, documents and models

Start the review with the groundwork done.Inversiq prepares the work. Your team judges it.

Underwriting

Base run

4 of 5 steps complete

Read the rent roll, 28 Feb 2026

AI extracts

5 leases

Attach the lease comparables

AI links

6 included

Run the underwriting model

Model computes

IRR 2.75%

Check against the tenancy basis

Rules check

1 finding

Draft the committee brief

Drafted for review

For Elena Rossi

Finding assigned to Maya Chen

Automate the work

Hand off the preparation. Inversiq reads the sources, extracts the figures, runs the model, checks the rules and drafts the brief, so the team's time goes to judgement.

  • Sources read and figures extracted
  • Model run on a pinned version
  • Rules checked, brief drafted for review

Know what needs attention before committee.Every finding links to where it came from.

Finding

ERV · designated run

The run’s ERV sits above the comparables set.

Rent, median

€86.25 /sqm

6 of 6 lettings

ERV in the run

€92.00 /sqm

Designated run

Rent against lease date

€84€88€92Oct 2025Apr 2026OctMedian €86.25ERV in run €92.00
€4.00 above the highest letting in the set.

Raised for committee. No lettings in the set after January.Maya Chen · 30 Sep, 14:12

Decision intelligence

Inversiq surfaces conflicting figures, assumptions their sources don't support and rules that aren't met, so nobody meets them for the first time in the room.

  • Conflicting figures
  • Assumptions against their sources
  • Rules that aren't met

Keep the tools your teams already use.Anything sent back out waits for approval.

Sources

5 connected
Deal folderSharePoint, read-onlySynced 09:41
Rent roll 28 Feb 2026.xlsxSpreadsheet5 leases
04_Valuation_Report.pdfDocument3 assumptions
Lease comparablesComparables set6 of 6
Underwriting modelModel, Base run30 Sep 2026

Outbound

Brief to the IC packWaits for approval

Connect your systems

Work across documents, spreadsheets, models and connected systems in one place, without replacing the tools your teams already use.

Available connections depend on implementation scope.

  • Documents, spreadsheets and models
  • Read-only connections
  • Outbound actions wait for approval

Nothing reaches approval before it is ready.Sign-off belongs to a named person.

Committee decision

History 8

Atlas Distribution Campus underwriting · Base

Every assumption linked to its source13 of 13
Run designated for the committeeBase, 30 Sep
Model differs from the tenancy basisAcknowledged

Maya Chen

Prepared the run

Elena Rossi

Sign-off authority

ApproveApprove with conditionDecline

Condition: re-run on the current rent roll before exchange.

Recorded 30 Sep, 16:20 · with the run, its sources and the finding

Stay in control

Rules, exceptions and review stay inside the workflow, and sign-off belongs to a person with the authority to give it. The reviewer knows exactly what they are being asked to approve, and why.

  • Rules and review in the workflow
  • Named sign-off authority
  • Decision recorded with its basis

Illustrative scenes in the style of the Inversiq application. Fictional deal data.

Integrations

Built to work with your existing stack.

Inversiq works across the documents, models, data platforms and enterprise systems your teams already use, rather than replacing them.

  • Microsoft SharePoint logo
  • Microsoft Excel logo
  • Microsoft Outlook logo
  • Microsoft Teams logo
  • Slack logo
  • Google Drive logo
  • Microsoft OneDrive logo
  • Dropbox logo
  • Box logo
  • Microsoft Azure logo
  • Snowflake logo
  • Microsoft Power BI logo
  • Salesforce logo
  • SAP logo
  • Oracle logo
  • Yardi logo
  • Dealpath logo
  • ARGUS Enterprise logo
Talk to us about your stack

Examples of systems the Inversiq connector architecture is designed to work with. Connector availability varies by deployment. Product names and logos are trademarks of their respective owners; their use does not imply endorsement.

AI agents

Agents for all the work around a decision.

Purpose-built agents that remember, research, write and prepare alongside your team, from your own documents, data and history. Anything that leaves the workspace waits for a person.

  • Memory

    Keeps context, decisions, files and history to hand across work.

  • Learning

    Turns corrections and outcomes into knowledge the team reuses.

  • Emails

    Drafts and summarises email from real business context, for you to send.

  • Connect colleagues

    Pulls in the right people, assigns follow-ups and keeps work moving.

  • Analyses

    Fast first-pass analyses, comparisons and summaries from documents and data.

  • Research

    Searches documents and data, and answers with the sources it used.

  • Presentations

    Turns finished work into slides and briefing packs.

  • Meetings

    Prepares the brief before a meeting and captures the actions after it.

Illustrative. Availability depends on implementation scope. Product names and logos are trademarks of their respective owners; their use does not imply endorsement.

Why now

AI is scaling faster than control.

AI is moving into the workflows behind real decisions. The controls that show a reviewer what the AI did, and on what basis, have not kept pace.

AI value
~50%

of companies now generate value from AI.

AI investment
3.3%

of revenue now goes to AI, roughly double a year ago.

Control gap
42%

expect AI agents to have real decision authority by 2030

5%

have the full controls in place today

Decision authority is scaling faster than the controls around it.

Source: BCG, Applied AI Index 2026.

Security & trust

Security is part of the architecture.

Access, tenant separation and decision authority are enforced in the product itself, so your risk and security teams can review controls rather than promises. Consequential steps are written to append-only records, and Inversiq does not train or fine-tune models on customer data.

  1. 01

    Isolation & access

    • Logical tenant isolation

      Enforced in application code on every workspace, model and review query.

    • Provisioned access

      Named, provisioned accounts and signed sessions that expire.

  2. 02

    Authority & control

    • Authority that fails closed

      Only the required role can record a final decision. No platform-admin bypass.

    • Approval before action

      An outbound action runs only after a different person approves it.

  3. 03

    Record & protection

    • Append-only records

      Reviews, decisions and connector actions, with the actor resolved on the server.

    • Encryption in transit and at rest

      TLS in transit. Storage encrypted at rest by the hosting platform.

Assurance: security & architecture review available; formal assurance programme planned.

Industries

Commercial Real Estate first. Designed to extend.

Real estate is where we go deep first. The same decision infrastructure can extend across other document-, model- and approval-heavy workflows.

First deep vertical

Commercial Real Estate

Deal materials, underwriting, assumptions and investment committee decisions, carried through one governed workflow.

Explore Commercial Real Estate

Private Equity

Diligence, underwriting and investment committee review.

Credit

Covenant tracking, exposure and credit committee decisions.

Infrastructure

Asset performance, contracts and capital decisions.

Beyond Commercial Real Estate: domains the same decision infrastructure is designed to extend to.

Our thesis

The next enterprise AI layer is not another assistant.It is governed decision infrastructure.

Data, models, policy, review and human authority work as one system, and every decision stays on the record, so the next team never has to reconstruct why the institution made the call.

Common questions

Inversiq is the decision infrastructure layer: an operating layer that connects evidence, computation, rules, review, authority and record in one controlled environment.

An assistant produces an answer beside the existing process. Inversiq structures the process itself: evidence stays connected to its source, computation and rules are versioned, material exceptions are reviewed, and the final decision can be reconstructed from the record.

Not by default. Inversiq can connect to existing documents, data sources, models and enterprise systems, then govern the workflow across them. Components can be replaced or moved into the native platform where that creates clear value.

No. The underlying decision infrastructure is domain-neutral. Commercial Real Estate is the first deep vertical because it combines dense documentation, financial models, human judgement and high-value approvals in one demanding workflow.