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.

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.
01Answers2022–24
02Agents2024–26
03Actions2026 →
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.
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
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
Governance
Policy, exceptions, permissions and authority: what AI may do on its own, what escalates and who can sign.
Controls: Policy, Exceptions, Permissions, AuthorityThe 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 OverviewAI 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.
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.
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.
Recorded with everything it was made of.
New decisions start from what earlier ones recorded.
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.
- 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.
- 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.
- 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 EstateBanking 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.
Elena Rossi


