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Tiergain

AI investment portfolio planner that allocates enterprise (and regional) spend across automated, assisted, augmented, and autonomous…

An AI investment portfolio planner that allocates enterprise (and regional) spend across automated, assisted, augmented, and autonomous intelligence—and scores expected value on both productivity and consumption-side product enhancement channels, mirroring the UK 2030 GDP thesis.

DemoDesign onlyfazeZERO VerifiedProprietaryStrategy & Transformation

Last verified 15 Sept 2026 · Updated 23 Sept 2026 · Metadata v3

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Configuration + implementation engagement

Problem

UK and UK-exposed group strategy / CFO offices that must justify multi-year AI capex with GDP-style dual-channel logic (productivity + product quality/personalisation), not automation headcount alone.

Outcome

A design-complete foundation in the active pipeline — engineering scaffold planned to complete this month.

Who uses it

  • Operations Analyst
  • Solution Architect

Key capabilities

Capabilities are defined during customer configuration.

Typical workflow

Primary operating flow

Trigger: An operator starts the primary use case

  1. Task

    Stage 1: Capture inputs

    Operator

  2. AI-assisted

    Stage 2: Assist with draft

    System

  3. Human checkpoint

    Stage 3: Human approval

    Approver

Task Automated AI-assisted Human checkpoint Decision

About this foundation

Dual-channel AI value ops. Most business cases stop at labour automation. The source models UK GDP up to 10.3% higher by 2030 (~£232bn), with only ~1.9% from productivity and ~8.4% from consumption-side enhancements—and phases where productivity leads early, then product enhancements dominate. Tiergain makes that structure operable for corporate portfolios.

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