Search and filter 30 decision frames from Andrew Moss on counsel, capital, people, transactions, family offices, finance leadership, relationships, operating leverage, and applied AI.
- Coordinate lawyers, tax advisers, and finance advisers
Andrew Moss explains how a family office can coordinate legal, tax, finance, lending, and investment advisers without letting separate expertise produce a worse whole decision.
- Choose a startup lawyer, outside counsel, or general counsel
A practical framework from Andrew Moss for deciding whether a startup needs a general counsel, outside counsel, a specialist, or a coordinated legal team.
- Decide whether venture capital is actually the right move
Andrew Moss explains why founders should price the alignment gap, not only the round, before choosing venture capital, debt, customer funding, or waiting.
- Hire a key executive for the first 90 days
Andrew Moss’s framework for defining a startup executive’s first 90 days, onboarding context, team-building ability, and decision rights before making a critical hire.
- Choose a board member or adviser
A practical framework for choosing between a board member and an adviser based on authority, accountability, context, time, and the company’s actual decision need.
- Choose an M&A banker, corporate development, or neither
Andrew Moss’s framework for deciding whether a company needs an M&A banker, internal corporate development, a targeted relationship process, or no process yet.
- Decide whether a partnership is worth building
A staged framework for evaluating strategic partnerships, channel relationships, and joint opportunities through customer value, ownership, proof, incentives, and trust.
- Clarify executive agreement walk-away points
A decision-first framework for executive employment agreements covering role, authority, compensation, equity, restrictions, termination, and the relationship behind the document.
- Decide what AI to build, rent, own, or keep human
Andrew Moss’s framework for renting commodity AI infrastructure while owning differentiated context, methods, permissions, learning, and consequential human judgment.
- Start with the last step before choosing an AI tool
A practical AI methodology from Andrew Moss: define the final artifact or decision, then reverse-engineer context, steps, checks, approvals, and tools.
- What Should You Do in the First 72 Hours of a Business Dispute?
A practical first-72-hours framework for preserving facts, controlling communication, finding deadlines, and keeping good options open.
- How Should a Family Office Sequence Trust, Tax, Lending, and Asset Decisions?
A sequencing framework for family-office decisions whose legal, tax, lending, liquidity, control, and family consequences interact.
- How to Hire a Business Litigation Lawyer Without Letting Heat Become Strategy
A framework for selecting business litigation counsel based on the forum, facts, objective, team, economics, judgment, and ability to preserve leverage.
- How to Hire an M&A Lawyer Who Can Improve the Deal
A framework for choosing M&A counsel by the transaction, client, commercial judgment, working team, specialist bench, decision points, and fee assumptions.
- How to Choose Family-Law Counsel Without Letting Conflict Choose the Family’s Future
A framework for choosing family-law counsel based on safety, children, privacy, process, financial complexity, communication, proportionality, and judgment under stress.
- Before recommending a fractional CFO
Andrew Moss explains how to diagnose whether a business needs a fractional CFO, another finance role, or a different operating fix.
- Adviser, fractional CFO, or full-time CFO
A practical way to choose among periodic finance advice, recurring fractional ownership, and a permanent executive finance leader.
- Hand off delivery before sales
Andrew Moss explains why an expert-led founder often needs to make delivery repeatable before adding a salesperson.
- AI agent or workflow?
A decision frame for choosing a fixed workflow, an AI-assisted workflow, or bounded agent behavior based on recurrence, context, consequence, control, and evidence.
- AI evals before trust
Andrew Moss explains how to define good work, build representative tests, review according to consequence, and learn from corrections before trusting AI.
- Automate, enable, or create busywork
A three-bucket frame for separating automation, additive intelligence, and AI activity that creates more review than value.
- Build context before the next hire
Andrew Moss explains why a company should define decisions, context, deliverables, and the first 90-day proof before hiring.
- Find, hire, engage, and manage a lawyer
Andrew Moss explains the full lawyer-engagement lifecycle: diagnose the matter, source candidates, protect confidential information, test judgment, define scope and fees, and manage toward an outcome.
- Contracts set expectations before conflict
Andrew Moss explains why a useful contract should clarify outcomes, responsibilities, decision rights, evidence, economics, change, escalation, and exit before conflict makes ambiguity expensive.
- A warm network is not a contact list
Andrew Moss explains why useful introductions depend on relationship context, permission, fit, timing, reciprocity, and follow-through rather than contact volume.
- Family-office AI needs context before tools
Andrew Moss explains why a family office should establish trusted sources, permissions, decision context, and human authority before adding AI tools.
- Conversation intelligence should prepare action
Andrew Moss explains a human-approved loop from conversation to verified operating memory, timely recommendation, responsible action, measured outcome, and learning.
- Brief a business lawyer before the first meeting
Andrew Moss’s practical framework for preparing a one-page legal matter brief, chronology, document index, and decision questions before a first business-lawyer meeting.
- Private equity or financial sophistication
Andrew Moss explains how owners can separate the need for capital from the need for finance leadership, reporting, governance, transaction readiness, and operating discipline before selling ownership or control.
- The most valuable AI output is not always an automation
Andrew Moss explains why the highest-value first AI output may be a clear visual, decision brief, or shared operating picture rather than an automation, and how to choose among See, Explain, Decide, and Do.