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Adam Maxwell · Director

The decisions underneath a business — structured before the commitment.

Sovereign Intelligence is directed by Adam Maxwell, who takes commercially important problems that cross several disciplines — cash, ownership, financing, regulation, operations — works out what actually matters, models the options, brings in specialists where specialist execution is required, and produces models and documents built for scrutiny by investors, lenders, partners, boards, and specialist advisers.

Adam Maxwell, Director of Sovereign Intelligence
Adam Maxwell · Director, Sovereign Intelligence
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Selected work

Selected work.

Global pricing architecture · Kantar TNS

Engaged as specialist consultant to rebuild the Global Multi-Country Pricing model for Kantar TNS — modernizing and modularizing the system used to estimate operational costs across worldwide operations.

International trust & estate structuring

Proposed the structure and built the financial analysis for a private client's cross-border trust and estate arrangement, then coordinated the specialist legal, tax, and accounting workstreams through to implementation. Six-figure net savings against the client's prior position.

80% revenue growth

Advised a UK contractor on an operating-model overhaul and commercial repositioning — market analysis, an underserved segment identified, cost and revenue model restructured, and a staged execution plan. The plan was implemented and revenue grew 80% over the following two years.

Full-spectrum SME advisory

Advising owner-managed businesses across the whole commercial picture — positioning, go-to-market, pricing, financial modeling, unit economics, and jurisdictional questions — usually across several decisions rather than one document.

Formal international submissions

Prepared several hundred pages of formal submissions to United Nations human-rights bodies — chronology, claim architecture, factual analysis, and regulatory argument.

What the practice is for

Before the commitment.

Sovereign Intelligence exists for the stage before a consequential commitment or decision — before capital is committed, partners are locked in, lawyers and accountants are briefed, or investors ask for documents. It brings order to that stage through models, written reviews, precise questions, and documentation built for scrutiny — for founder-led companies, growing SMEs, and new ventures across English-speaking jurisdictions and into emerging markets.

Relevant experience spans financial modeling and forecasting for a global research group, multi-jurisdictional structuring for private clients, operating-model redesign for owner-managed businesses, capital and investor-readiness preparation, and several hundred pages of formal submissions to United Nations treaty bodies. The common thread is taking a poorly defined, consequential problem and turning it into a model, a decision paper, and a sequence that can be executed.

Disciplines applied

Areas of practice.

  • Financial modeling & forecasting
  • Pricing & unit economics
  • Cash, runway & scenario analysis
  • Capital planning & investor readiness
  • Ownership & cap table scenarios
  • Entity & jurisdiction analysis
  • Governance & board structure
  • Regulatory & commercial research
  • Market & competitor analysis
  • Decision papers & complex documentation
  • Specialist coordination
  • Business systems & AI workflow design

Working method

How the work proceeds.

  1. 01

    Diagnose

    Understand the business, the question, and what's actually at stake.

  2. 02

    Structure

    Map the gaps: financial, legal, operational, commercial, and governance.

  3. 03

    Document

    Build the model, review, plan, or system to a standard the reader can act on.

  4. 04

    Review

    Walk through findings together and pressure-test for context.

  5. 05

    Refine

    Incorporate feedback before final delivery.

  6. 06

    Deliver

    Final assets handed over with documentation and next-step framing.

The reasoning behind this method is set out in Warrant.

AI capability

AI is used as a research and production layer for drafting, modeling support, document architecture, and workflow design. Where a client needs software built — internal tools, automation, integrated business systems, technical or cybersecurity audits — that work is delivered through a trusted specialist technical network, with requirements definition, commercial oversight, and accountability held by Sovereign Intelligence. Judgment and responsibility remain human-led.

Confidentiality

Most engagements operate under NDAs and private advisory terms. The site presents capability and the nature of the work.

Discuss a project.