Focusing sector origination
Groups current industry activity into distinct deal theses, giving advisers an evidence-based focus for origination discussions and potential transaction themes.
— Markets & Intelligence
M&A Opportunity Scanner
Scans live market signals for consolidation, distress, divestment, funding and regulatory movement in an industry, then groups the activity into deal theses with a view on which windows are opening or closing.
- Markets & Intelligence
- Traceable reasoning
- Runs anywhere
1–2 weeks → ~15 minutes
For one complete, review-ready pass
No coding required
- Input
- Chosen industry and market scope
- Output
- Industry M&A opportunity report
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1–2 weeks per run
— USE CASES
What people use M&A Opportunity Scanner for
Spotting distress and divestments
Highlights market signals that suggest assets or businesses may become available. Frames the potential deal rationale and the factors affecting the opportunity window.
Assessing consolidation opportunities
Examines consolidation activity within a chosen industry to identify emerging transaction themes and where further combinations may have a credible rationale.
Interpreting funding and regulation
Connects changes in funding conditions and regulation to potential M&A opportunities, showing how these shifts may open or narrow the scope for a deal.
What it works from
- Chosen industry and market scope
- Current market signals on consolidation and transaction activity
- Evidence of corporate distress and divestment activity
- Funding developments and regulatory changes
What you get back
- Industry M&A opportunity report
- Deal theses grouped by market activity
- Supporting market evidence for each thesis
- Assessment of opening and closing transaction windows
— HOW IT BEHAVES
How M&A Opportunity Scanner produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Composed as work product
Findings on the market being watched are written up as a document that reads like professional output, with each claim tied back to a signal.
Criteria-based analysis of every signal
Each signal is assessed against explicit criteria you control, so the same standard is applied across the market being watched on every run.
Grounded in your own live external signals and current research
The run works from live external signals and current research you supply, so conclusions about the market being watched are anchored to your evidence rather than general model knowledge.
Live external signals and current research reshaped for use
Content is restructured into the form your deliverable or downstream system expects, with each signal kept intact.
Why this is expensive by hand
Market activity rarely presents itself as a clear acquisition opportunity. In practice it shows up as focusing sector origination: groups current industry activity into distinct deal theses, giving advisers an evidence-based focus for origination discussions and potential transaction themes. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 1–2 weeks of senior time whenever it comes round.
How this Skill produces it
Skillsize turns that work into a Skill: you supply the material, and what comes back is industry M&A opportunity report, with deal theses grouped by market activity. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. Net effect: 1–2 weeks down to ~15 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Who it's for
- Strategy and market intelligence teams
- Corporate development and investment teams
- Consultants advising on positioning and timing
- Leaders who need early warning, not hindsight
Run it in Skillsize — or export it anywhere
M&A Opportunity Scanner exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
ChatGPTClaudeCopilotAI Products (MCP)
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