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Scope a mandate

Security · Operating decision guide

What to centralize across a PE portfolio

Otomat editorial · Revised 23 October 2026

Choose shared methods and supplier controls while preserving company data boundaries and local operating accountability.

  • Centralize the method before the data
  • Keep local acceptance with the company
  • Use an interface agreement
  • Measure the benefit of standardization

Centralize the method before the data

A sponsor can share procurement questions, evaluation methods, generic architecture patterns and training templates. Sharing confidential source data, embeddings, feedback or credentials is a separate decision requiring rights and authorization. A common owner does not create unrestricted data access.

Keep local acceptance with the company

Each company has distinct workflows, contracts, source systems and staff. Give the local business and risk owners authority over the rollout. A sponsor-level platform should expose scope and costs without silently bypassing local approvals.

Use an interface agreement

Specify which entity contracts with suppliers, owns assets, pays operating costs and can approve changes. Record tenant isolation, deletion/export obligations and what happens at divestment. Test a denied cross-company request alongside a valid within-company task.

Measure the benefit of standardization

Track qualification time, local integration work, support burden and accepted task outcomes. Reuse that adds exceptions or creates a large shared failure domain may not improve economics. Replication is a hypothesis to test, not a guaranteed portfolio multiplier.

Use the working tools

Blank templates are ungated. Adapt them to the workflow; inputs are not submitted.

  • Open the operating charter

Sources and limits

These are Otomat’s proposed operating methods and original decision artifacts. External references inform risk management; they do not certify this method or establish client results. Linked sources were selected for this review; their live revision dates may change.

  • NIST AI Risk Management Framework (2023)
  • NIST Generative AI Profile, AI 600-1 (July 2024)

For anonymous documentation and proposal patterns, see delivery evidence and its boundaries.

Related decisions

  • AI-agent permissions: define the data and action boundary
  • Model replacement and practical client ownership
  • AI value creation in a private-equity portfolio

Bring a workflow to the discussion

Share the business goal and constraints through the mandate process. Do not send sensitive production data in the initial brief.

Scope an Operating Mandate
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