AI woven into the platform. Humans always in control.
Origin Zero embeds intelligence into the fabric of the workflow, not on top of it. The platform handles the computation. AI accelerates the interpretation. Your team makes every final call.
AI should accelerate judgement, not replace it.
Infrastructure investing is a domain where stakes are high, holding periods are long, and governance is non-negotiable. AI is extraordinarily useful here, but only when it operates within clear boundaries and under human oversight.
Origin Zero doesn't bolt AI on as a feature. We embed it into the analytical workflow so it surfaces insights, drafts commentary, and summarises complex documents while the platform maintains full computational traceability and your team retains approval authority over every output.
Two systems, one workflow
Computation and interpretation, clearly separated.
The platform computes.
Valuation bridges, sensitivity outputs, coverage ratios, IRR decompositions, and cash flow forecasts are calculated by the platform engine directly from your financial model. Deterministic, auditable, reproducible. AI does not touch the mathematics.
AI interprets and drafts.
Once the platform has produced verified outputs, AI generates commentary, summarises supporting documents, drafts analyst narratives, and highlights areas warranting attention. Every AI output is clearly labelled and presented for review, never silently embedded.
Your team approves.
Nothing AI produces enters the workflow without human sign-off. Analysts review and refine. Directors approve. The speed is new. The accountability is unchanged.
Where AI works
Six places AI accelerates the workflow.
Bridge commentary
The platform builds IRR and valuation bridges computationally. AI drafts readable commentary explaining what drove the changes, in language suitable for IC packs and valuation memos. The analyst reviews and signs off before it goes anywhere.
Document summarisation
Technical reports, environmental assessments, and contract summaries can run to hundreds of pages. AI distils these into structured summaries extracting key findings, risk flags, and data points. The analyst and director review before the summary is relied upon.
Assumption rationale drafting
When an analyst updates a forecast assumption, AI drafts an initial rationale based on linked evidence, historical trends, and sensitivity context. A starting point rather than a blank page, with final judgement entirely human.
Consistency and outlier detection
AI monitors assumptions across the portfolio and flags inconsistencies, unusual changes, or outlier values. If one asset's inflation assumption diverges from the portfolio without documented reason, the platform surfaces it. AI doesn't correct. It questions.
IC pack narrative acceleration
AI uses the platform's structured outputs, bridges, sensitivities, and performance data to draft initial narrative content for committee packs. The analyst shapes it. The director approves it. The time saving compounds across every asset, every quarter.
Evidence extraction from deal materials
When IMs, DD reports, and contracts are uploaded, AI extracts structured data: key terms, financial metrics, risk factors, and contractual milestones. These are mapped to relevant model drivers, giving the analyst a structured starting point instead of a wall of unformatted text.
What AI never does
The guardrails that make the rest possible.
AI never produces valuation numbers.
All financial calculations are computed deterministically by the platform engine from the financial model. AI has no role in producing, adjusting, or influencing these figures.
AI never makes judgement calls.
Discount rate selection, risk classification, materiality thresholds, and investment recommendations are human decisions. AI surfaces information to support those decisions but never makes them.
AI never bypasses the sign-off chain.
Every piece of AI content passes through the same approval workflow as manually created content. Analyst review, director sign-off, and audit logging apply equally. No fast lane that skips governance.
Client data is never used to train models.
Your data, your models, your documents, and your AI outputs are never used to train external AI models. Your information stays yours.
The impact
What changes when AI is embedded, not bolted on.
Quarterly cycles compress without cutting corners.
AI-drafted commentary, automated summarisation, and structured extraction reduce the workload per asset. Because every output is reviewed and approved, governance doesn't drop. Faster with the same rigour.
Analysts focus on judgement, not formatting.
The hours spent drafting boilerplate, re-reading hundred-page reports, and documenting rationale from scratch are the hours AI gives back. More time on thinking, less on assembly.
Directors get richer context faster.
AI-surfaced summaries, commentary, and consistency flags alongside the hard numbers mean directors arrive at review meetings with more complete information and less need to interrogate for background.
The platform learns your context.
As more documents are processed and more commentary is refined, Origin Zero becomes better calibrated to your portfolio's terminology and patterns, all while maintaining strict data isolation and the no-training guarantee.
The speed of AI. The control of your team.
See how Origin Zero embeds intelligence into the infrastructure investment workflow with full human oversight and no black boxes.