Weissr

Capex Platform · AI

Ask questions of your capex datain plain language.

Ask your capex data questions in plain language and receive answers grounded in the same models and records your organisation governs.

Opt-in

No AI capability activates silently

Cited

Answers trace to underlying rows

Bounded

Existing roles and permissions apply

Auditable

Every retrieval and action is logged

Available today

Ask about the portfolioinside the workflow where decisions happen.

AI works with the models and records already governed in Weissr, rather than sending users to a separate tool.

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Ask your strategic model

Retrieve NPV, cash flow and alternative data in plain language, with the underlying rows cited.

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Query the portfolio

Find requests by value, status, budget or risk within the user's existing access level.

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Trace every answer

Move directly from an AI response to the source record and evidence behind it.

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Human decision ownership

AI shortens the path to insight. People retain authority over approvals and allocations.

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Opt-in by design

Enable capabilities by environment, module, workflow or user group, and disable them at any time.

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Your data, your boundary

Customer data is not used to train shared models without a separate, explicit opt-in.

The AI roadmap

Broader capabilitywith the controls to govern it.

We move deliberately: each capability is tested and adopted before broader authority is enabled.

01AI that informsCopilot · available now

Ask questions, retrieve grounded answers, cite source rows and navigate to the right record. The human owns every decision.

02AI that acts under supervisionAgentic · in preparation

Agents take on structured workflows such as project intake, scenario analysis and post-investment review, each submitted for human approval.

03AI that executes within your frameworkLong-term direction

People set strategy, policy, permissions and limits. Connected agents execute work inside that framework, with every action attributable and auditable.

Responsible AI

Guardrails for AIin financial decisions.

  • Strategy and policy are set by people, never by agents
  • Every action is explainable, attributable and reviewable
  • Autonomy is bounded by customer-defined scopes and approvals
  • AI activation and data-training consent remain separate decisions
  • Financial decisions retain a human-in-the-loop by default
  • Capabilities and data use are documented before activation

Use AI where it helpswithout giving up control.

We will show what is available today, what is coming and how every capability is governed.

Book a demo