The decision layer for the AI-powered enterprise.

AI reasoning, deterministic computation, governance and human authority, in one system for consequential decisions.

Meet Inversiq

AI can read the contract and move the money. The question is on whose authority. One minute on the layer that answers it.

The Inversiq film: What if your team could move 10x faster? Without giving up control.

Why now

AI can reason. Agents can act. Decisions still need control.

AI is moving from answers to actions, faster than enterprises can govern it.

AI capabilityEnterprise control
  1. 01Answers2022–24

  2. 02Agents2024–26

  3. 03Actions2026 →

  4. 04ControlNow / next

Capability arriving

Adoption

62%

use or experiment with AI agents

McKinsey · 2025

Control lagging

Scale

2%

have deployed AI agents at scale

Capgemini · 2025

Governance

21%

have mature governance for autonomous agents

Deloitte · 2026

Infrastructure

<20%

report high data readiness for agentic AI

Capgemini · 2025

Sources: McKinsey (2025), Capgemini (2025), Deloitte (2026). Chart illustrative; phases overlap.

Decision Infrastructure

One governed layer for the decision itself.

AI interprets. Software computes. Governance controls. Authority decides. The system records, so every consequential decision can be traced and trusted.

  1. AI and agents

    Interpret, research, propose and plan: read the documents, draft the work and propose the next step.

    Works in: SharePoint, Outlook, Teams, Documents
  2. Deterministic execution

    Compute, verify, challenge and control: figures come from pinned models and rules, the same on every run.

    Runs on: Excel, Snowflake, Pinned models, Rules
  3. Governance

    Policy, exceptions, permissions and authority: what AI may do on its own, what escalates and who can sign.

    Controls: Policy, Exceptions, Permissions, Authority
  4. The decision

    State, rationale, approval, record and outcomes: one governed object, from the first data to the recorded outcome.

    Records: Rationale, Approval, Record, Outcome

AI acts within the authority it is given. Consequential decisions stay governed.

Explore the Platform Overview

AI agents

A team of agents around every decision.

Specialist agents research, reconcile, analyse, prepare and coordinate the work around a decision. People retain authority over what becomes part of the record.

ResearchCompare the proposed assumption against available evidence
Research AgentInternal knowledge · external research · sources

Finds the evidence behind the decision.

Searches internal and external sources, reconciles what it finds and returns evidence with provenance.

Proposes findings. People accept what enters the record.

What it does

  • Searches documents, systems and approved external sources
  • Compares claims across available evidence
  • Surfaces conflicts and missing information
  • Keeps every conclusion linked to its source
Inputs
DocumentsEnterprise dataExternal sources
Hands off to
Analysis Agent

Latest work

Three sources support the proposed assumption. One conflicting source requires review.

Agents prepare the work. The runtime computes. People retain authority.

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.

Institutional memory

Decision infrastructure that compounds.Every decision adds to what the institution knows.

Each governed decision adds its assumptions, rationale, authority and outcome to the institution’s memory. Over time, new decisions start with what the institution has already learned. Models are replaceable. That history is not.

1decision

Recorded with everything it was made of.

10decisions

New decisions start from what earlier ones recorded.

1,000decisions

The institution’s own decision context, adding up.

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

One decision layer, built for consequential work.

Institutional investing is where Inversiq runs today, starting with commercial real estate. The same architecture is designed for any decision that needs exact numbers, policy, authority and a record.

Live today · Commercial Real Estate

Institutional investing

Data rooms, underwriting, committee readiness and the recorded investment decision, carried through one governed workflow.

Explore Commercial Real Estate

Banking and credit

Credit approvals, limits and exceptions under delegated authority.

Insurance

Underwriting authority, pricing exceptions and claims decisions.

Infrastructure and energy

Capital allocation, asset and contract decisions.

Inversiq runs today in commercial real estate. The other sectors are where the same architecture is designed to apply.

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 layer for the AI-powered enterprise. Its Decision Infrastructure brings AI reasoning, deterministic computation, policy, review, authority and the record together around each consequential decision.

An assistant produces an answer beside the existing process. Inversiq structures the process itself: data 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. Inversiq runs today in institutional investing, starting with Commercial Real Estate: dense documentation, financial models, human judgement and high-value approvals in one demanding workflow.