Your M&A
Skills Library
Nine ready-to-run AI skills built specifically for M&A teams. Copy one into ChatGPT, Claude, Copilot, or your preferred AI assistant and start using it in under a minute.
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The library
Nine skills. The whole deal lifecycle.
Strategy & Pipeline
Deal Thesis Builder
Overview
Turns a strategic idea into a structured, defensible deal thesis. Use it at the start, when you need to shape a direction into something you can take to leadership.
How it works
Step 01
What you provide
1
Strategic objective
2
Target industry
3
Geography
4
Size criteria
5
Constraints
Step 02 Β· AI skill
Deal Thesis Builder
Runs in seconds
Step 03
What you get back
1
Thesis statement
2
Strategic rationale
3
Ideal target profile
4
Value-creation logic
5
Key risks & assumptions
6
Walk-away criteria
Sample output β Project Meridian
DEAL THESIS β Managed Detection & Response (MDR) Expansion Prepared for: Corp Dev Committee Β· Draft v1 THESIS STATEMENT Acquire a founder-owned regional MSSP with $8β15M revenue in the US Southeast to accelerate entry into Managed Detection & Response (MDR), targeting a signed deal within two quarters. STRATEGIC RATIONALE 1. Fills the SOC / 24Γ7 monitoring gap named in the FY26 strategy [VALIDATE vs. strategy doc] 2. Cross-sell MDR into our ~220 existing mid-market managed-services accounts 3. Buys ~18 months of time-to-market vs. building a SOC and hiring analysts organically 4. Defensive β 3 of our top competitors added MDR in the last 24 months [VALIDATE] IDEAL TARGET PROFILE Revenue $8β15M Headcount 60β120 FTE (incl. 15+ trained SOC analysts) Recurring rev >65% of total Geography US Southeast (GA, FL, NC, TN preferred) Ownership Founder-owned / PE-light, clean cap table Tech Established SIEM/EDR stack; SOC 2 Type II VALUE-CREATION LOGIC Revenue Attach MDR to existing base; cross-sell uplift [VALIDATE with sales] Cost Consolidate overlapping tooling + back office (~$0.4β0.6M/yr) [ASSUMPTION] Capability Acquire a trained SOC team we cannot hire fast enough in-house KEY RISKS & ASSUMPTIONS β’ ASSUMPTION: SOC analysts stay post-close β the #1 value driver β’ RISK: customer concentration is common in this segment β diligence must confirm β’ RISK: integrating a 24Γ7 operation is harder than a standard tuck-in β’ ASSUMPTION: cross-sell works without heavy AM re-training WALK-AWAY CRITERIA β Top customer > 25% of revenue β No non-competes / retention hooks on key SOC staff β Asking price > 2.5x revenue with no growth-premium justification β Failed or absent SOC 2 audit
Ready-to-run prompt
Copy this into ChatGPT, Claude, or any LLM. Replace the {{placeholders}} with your inputs.
You are a corporate development strategist building a deal thesis. Using ONLY the inputs, produce: 1) THESIS STATEMENT 2) STRATEGIC RATIONALE 3) IDEAL TARGET PROFILE 4) VALUE-CREATION LOGIC 5) KEY RISKS & ASSUMPTIONS 6) WALK-AWAY CRITERIA. Inputs β objective:{{objective}}; industry:{{industry}}; geography:{{geography}}; size:{{size_criteria}}; constraints:{{constraints}}. Rules: don't invent data (mark '[VALIDATE]'); label assumptions vs inputs.Placeholders to fill in
Strategic objective
Target industry
Geography
Size criteria
Constraints
Sourcing & Screening
Target Identification & Screening
Overview
Infers the screening criteria and weights from your thesis, shows them for you to confirm or tweak, then ranks targets against them. A quick two-step: it proposes the weighting, waits for your 'confirm' (or edits), then produces the shortlist. Use it to turn a thesis into a target list, or to prioritize a long list objectively.
How it works
Step 01
What you provide
1
Thesis
2
What matters most (optional)
3
Exclusion criteria
4
Existing list (optional)
5
Geography & size range
Step 02 Β· AI skill
Target Identification & Screening
Runs in seconds
Step 03
What you get back
1
Proposed criteria & weights (to confirm)
2
Ranked & scored shortlist
3
Rationale per target
4
Missing-info list
5
Advance/park/drop
Sample output β Project Meridian
STEP 1 β PROPOSED CRITERIA & WEIGHTS (derived from your thesis) Criterion Weight Why SOC talent & retention 35% Thesis hinges on acquiring a team we can't hire fast Segment fit (MSSP/MDR) 25% Must be true managed security, not a general MSP Recurring revenue 15% Durability of the customer base Geographic fit (SE US) 15% Cross-sell into our existing footprint Customer concentration 10% Flagged as a walk-away risk Reply "confirm" to run the screen with these weights, or tell me what to change. βββββββββββββββββββββββββββββββββββββββββββββββββ (User: "confirm") βββββββββββββββββββββββββββββββββββββββββββββββββ STEP 2 β TARGET SCREEN β MDR Expansion Thesis Weights applied as above Β· Universe screened: 14 Β· Advancing: 3 RANKED SHORTLIST # Target Fit Fin Risk Score Rationale 1 Meridian Cloud 9 7 8 8.1 Exact SE footprint; strong 18-analyst SOC 2 Northgate Managed 8 β 6 ~7.4 Great capability fit; financials not disclosed 3 Pinnacle IT 6 7 7 6.5 Size fits; thin security bench, more MSP than MSSP 4 Harbor Secure 7 5 4 5.4 Good tech, but ~34% customer concentration (flag) 5 BlueRidge Networks 4 6 8 5.5 Solid financials; wrong segment (network, not SOC) β¦ 9 more below threshold (parked / excluded) EXCLUDED (hard fails) β’ Sentinel Ops β PE-owned, mid-auction (process risk, likely priced out) β’ CyberField β top customer ~40% of revenue (exceeds concentration deal-breaker) MISSING INFORMATION Meridian Cloud β confirm FY25 revenue & margin; ownership structure Northgate β no financials disclosed; request via broker before scoring finance Pinnacle IT β confirm # of dedicated SOC analysts vs. general MSP techs RECOMMENDED NEXT STEPS ADVANCE Meridian (priority), Northgate (pending financials) PARK Pinnacle, Harbor Secure (revisit if top 2 stall) DROP BlueRidge (segment mismatch), Sentinel, CyberField
Ready-to-run prompt
Copy this into ChatGPT, Claude, or any LLM. Replace the {{placeholders}} with your inputs.
You are an M&A sourcing analyst screening targets against a thesis. Run this in TWO STEPS and DO NOT skip ahead.
STEP 1 (do this first, then STOP):
- From the thesis (and 'what matters most', if provided), derive 4β6 weighted screening criteria with weights summing to 100%.
- Present them as a short table: criterion Β· weight Β· one-line rationale.
- Then STOP and ask exactly: "Reply 'confirm' to run the screen with these weights, or tell me what to change." Do NOT score or rank any targets yet. Wait for the user's reply.
STEP 2 (only after the user replies):
- Apply the confirmed/edited weights.
- If an existing list was provided, score & rank it against the criteria; if not, propose target TYPES to research (never invent company names or financials).
- Score each target 1β10 with a weighted total; exclusions are hard fails.
- Output in this order: 1) FINAL CRITERIA & WEIGHTS, 2) RANKED TABLE, 3) MISSING INFORMATION, 4) NEXT STEPS.
Inputs β thesis:{{thesis}}; what matters most (optional):{{what_matters_most}}; exclusions:{{exclusions}}; existing list:{{target_list}}; geo/size:{{geo_size}}. Rules: never fabricate β unknown = 'not disclosed'; keep weights transparent; in Step 1 you must stop and wait β do not produce the ranking until the user confirms.Placeholders to fill in
Thesis
What Matters Most
Exclusions
Existing target list
Geography & size
Due Diligence
Diligence Request List Generator
Overview
Generates a complete, workstream-by-workstream diligence request list with priorities and owners β and exports it straight to Excel. Use it right after the LOI, when you're opening the data room.
How it works
Step 01
What you provide
1
Deal structure
2
Industry
3
Deal size
4
Workstreams in scope
Step 02 Β· AI skill
Diligence Request List Generator
Runs in seconds
Step 03
What you get back
1
Request list by workstream
2
Priority tiers
3
Suggested owners
4
Excel file
Sample output β Project Meridian
DILIGENCE REQUEST LIST β Project Meridian Structure: 100% stock purchase Β· Industry: MSSP Β· Size: ~$40M EV Β· 6 workstreams FINANCIAL Owner Pri β‘ Audited financial statements, FY23βFY25 Target P1 β‘ Monthly P&L, trailing 24 months Target P1 β‘ AR aging + customer revenue concentration Target P1 β‘ Adjusted EBITDA bridge w/ add-back detail Target/Adv P1 β‘ Current-year budget vs. actuals Target P2 β‘ Deferred revenue & backlog schedule Target P2 LEGAL Owner Pri β‘ Cap table & option ledger Target P1 β‘ Material contracts >$100k [structure-dependent] Target P1 β‘ Customer contracts w/ change-of-control clauses Target/Adv P1 β‘ IP assignments & registrations Target P2 β‘ Litigation / dispute history Target P2 COMMERCIAL Owner Pri β‘ Top-20 customer list w/ tenure & ARR Target P1 β‘ Logo retention / churn (trailing 3 yr) Target P1 β‘ Pipeline & win-rate data Target P2 TECHNOLOGY / SECURITY Owner Pri β‘ SOC 2 Type II report (current) Target P1 β‘ SIEM/EDR tooling inventory & licenses Target P1 β‘ SOC staffing & 24Γ7 shift-coverage model Target P2 HR / PEOPLE Owner Pri β‘ Org chart + compensation bands Target P1 β‘ Key-employee agreements & non-competes Target P1 β‘ SOC analyst tenure & attrition data Target P1 TAX Owner Pri β‘ Federal & state returns (3 yr) Target/Adv P1 β‘ Nexus / sales-tax exposure analysis Advisor P2 RECOMMENDED DATA-ROOM STRUCTURE 01_Financial 02_Legal 03_Commercial 04_Technology 05_HR 06_Tax 07_Corporate
Ready-to-run prompt
Copy this into ChatGPT, Claude, or any LLM. Replace the {{placeholders}} with your inputs.
You are a diligence lead assembling a request list. Output a list BY WORKSTREAM; each item has priority (P1/P2/P3) + suggested owner; plus a DATA-ROOM FOLDER STRUCTURE. Inputs β structure:{{structure}}; industry:{{industry}}; size:{{size}}; workstreams:{{workstreams}}; concerns:{{context}}. Rules: tailor to industry; note structure-dependent items; de-duplicated.Placeholders to fill in
Deal structure
Industry
Deal size
Workstreams in scope
Due Diligence
Document & CIM Summarizer
Overview
Distills a CIM, contract, or data-room file into a summary, key facts, and flags to chase. Use it when you're handed a dense document and need the signal fast.
How it works
Step 01
What you provide
1
The document
2
What you're screening for (the lens)
Step 02 Β· AI skill
Document & CIM Summarizer
Runs in seconds
Step 03
What you get back
1
Executive summary
2
Key-facts table
3
Flags & open questions
Sample output β Project Meridian
CIM SUMMARY β Meridian Cloud (lens: MDR fit + earnings quality) EXECUTIVE SUMMARY β’ FY25 revenue $11.0M, +14% YoY; adjusted EBITDA $2.0M (~18% margin), unaudited β’ Recurring revenue 76% of total β healthy for the segment β’ 18 dedicated SOC analysts; SOC 2 Type II in place (per CIM) β’ Broadly marketed by a boutique advisor; management "willing to stay, subject to terms" β’ Implied ask ~3.6x revenue / ~20x adj. EBITDA β above our walk-away band KEY FACTS & TERMS Metric Value Source Revenue (FY25) $11.0M CIM p.12 Revenue growth +14% YoY CIM p.12 Adj. EBITDA $2.0M CIM p.13 (incl. add-backs) Reported EBITDA $1.6M CIM p.13 Recurring revenue 76% CIM p.14 SOC analysts 18 CIM p.21 Top customer % not disclosed β FLAGS & OPEN QUESTIONS β Adj. EBITDA includes ~$400k of add-backs (owner comp + one "non-recurring" item) β request schedule β Customer concentration NOT disclosed β critical vs. our walk-away rule; request top-20 β Growth attributed to "two large logos" in FY25 β how durable / concentrated? β 76% recurring claimed but contract terms not evidenced β verify in data room NOTE: CIM figures are unaudited management CLAIMS, not evidenced results.
Ready-to-run prompt
Copy this into ChatGPT, Claude, or any LLM. Replace the {{placeholders}} with your inputs.
You are an M&A analyst summarizing a document through a lens. Output: EXECUTIVE SUMMARY (4β6 bullets), KEY FACTS & TERMS (table), FLAGS & OPEN QUESTIONS. Inputs β document:{{document}}; lens:{{lens}}. Rules: use ONLY the document; missing = 'not disclosed'; don't infer figures; separate CLAIMS from EVIDENCE.Placeholders to fill in
The document
What you're screening for (the lens)
Integration
Integration Workplan Builder
Overview
Turns the thesis and synergy targets into a Day-1 checklist and phased 100-day plan. Use it between signing and close, when integration planning starts for real.
How it works
Step 01
What you provide
1
Thesis & synergy targets
2
Functions in scope
3
Close date
4
Constraints
Step 02 Β· AI skill
Integration Workplan Builder
Runs in seconds
Step 03
What you get back
1
Day-1 checklist
2
Phased 100-day plan
3
RACI
4
Milestones & dependencies
5
Synergy linkage
Sample output β Project Meridian
INTEGRATION WORKPLAN β Project Meridian
Close: [DD MMM] Β· Functions: People, IT/Security, Finance, GTM, Facilities
Synergy target: $1.2M run-rate Β· Owner: Integration Lead
DAY-1 CHECKLIST (must-happen)
People β‘ Welcome comms to all Meridian staff (09:00) Integration Lead
People β‘ Retention agreements countersigned & confirmed HR
IT/Sec β‘ SSO + email access provisioned; no SOC downtime IT
Finance β‘ Payroll continuity confirmed for first cycle Finance
Legal β‘ Customer change-of-control notices issued Legal
GTM β‘ "Nothing changes today" note to top-20 accounts GTM Lead
100-DAY PLAN
Phase 1 Β· Wk 1β2 (Stabilize)
IT SSO/email cutover complete IT Wk 1
People Retention offers signed (all 5) HR Wk 1
Finance Reporting consolidated into group P&L Finance Wk 2
Phase 2 Β· Wk 3β6 (Connect)
GTM Joint pipeline review; cross-sell v1 GTM Wk 4
IT/Sec Tooling rationalization plan (SIEM/EDR) IT Wk 5
Phase 3 Β· Wk 7β10 (Optimize)
Ops Duplicate role decisions [SENSITIVE] HR/Ops Wk 8
IT/Sec Tooling consolidation executed IT Wk 9
Phase 4 Β· Wk 11β14 (Prove)
Finance Synergy tracking cadence live Finance Wk 11
All Integration retro + Board readout Lead Wk 14
RACI (major workstreams)
Workstream R A C I
IT/Security cutover IT Lead Lead CISO ELT
Retention/People HR Lead Founder ELT
Cross-sell GTM GTM Lead CRO Sales, Mktg Lead
Synergy tracking Finance CFO Workstreams Board
MILESTONES & DEPENDENCIES
β’ SSO/email cutover (Wk1) BLOCKS tooling consolidation (Wk9)
β’ Retention signed (Wk1) is a PREREQUISITE to any role decisions (Wk8)
β’ QoE-confirmed baseline feeds the synergy tracking cadence (Wk11)
SYNERGY LINKAGE
Tooling consolidation β $180k (IT, Wk9)
Duplicate role removal β $520k (HR/Ops, Wk8) [high sensitivity]
Cross-sell (MDR attach) β $500k (GTM, Q3 ramp)
TOTAL β $1.20M run-rateReady-to-run prompt
Copy this into ChatGPT, Claude, or any LLM. Replace the {{placeholders}} with your inputs.
You are a PMI lead building the workplan. Output: DAY-1 CHECKLIST (by function, owners), 100-DAY PLAN (~4 phases, owners+weeks), RACI, MILESTONES & DEPENDENCIES, SYNERGY LINKAGE. Inputs β thesis/synergies:{{thesis_synergies}}; functions:{{functions}}; close date:{{close_date}}; constraints:{{constraints}}. Rules: sequence by dependency; flag high-sensitivity items; tie to thesis.Placeholders to fill in
Thesis & synergy targets
Functions in scope
Close date
Constraints
Reporting
Executive Deal Update Generator
Overview
Turns messy status notes into a crisp executive or board update. Use it each reporting cycle, when leadership needs a clear, honest read.
How it works
Step 01
What you provide
1
Raw status notes/tracker
2
Audience
3
Reporting period
Step 02 Β· AI skill
Executive Deal Update Generator
Runs in seconds
Step 03
What you get back
1
Headline status
2
RAG by workstream
3
Risks & asks
4
Next milestones
Sample output β Project Meridian
INTEGRATION UPDATE β Project Meridian β Week 6
Audience: Executive Team Β· Prepared by: Integration Lead
HEADLINE
π’ ON TRACK β systems cutover complete and retention locked; synergy capture is slightly
behind plan but recoverable.
PROGRESS vs. PLAN
Workstream Status Detail
IT / Security π’ SSO + email cutover complete; zero SOC downtime
People / Retention π’ All 5 retention agreements signed
Finance π’ Reporting consolidated into group P&L
Synergies π 38% captured vs. 40% planned (tooling slipped 1 wk)
Cross-sell (GTM) βͺ Kicks off Week 8 as scheduled
Facilities π’ Lease renewal signed
RISKS & ASKS
β RISK: Duplicate back-office role decisions (Wk 8) are sensitive and slipping β need
HR/ELT sign-off by end of Week 7 to stay on plan.
π ASK: Approve retention budget for 2 additional back-office roles ($90k) to secure
continuity through consolidation.
NEXT MILESTONES
Wk 8 GTM cross-sell launch Β· role decisions finalized
Wk 9 Tooling consolidation executed (recovers synergy gap)
Wk 11 Synergy tracking cadence goes liveReady-to-run prompt
Copy this into ChatGPT, Claude, or any LLM. Replace the {{placeholders}} with your inputs.
You are preparing an executive update. Output: HEADLINE (π’/π /π΄ + why), PROGRESS vs PLAN (RAG by workstream), RISKS & ASKS, NEXT MILESTONES. Inputs β notes:{{notes}}; audience:{{audience}}; period:{{period}}. Rules: match length to audience; surface ASKS clearly; report honestly.Placeholders to fill in
Raw status notes/tracker
Audience
Reporting period
Sourcing & Screening
Target Profile Generator
Overview
Produces a clean, one-page profile of any target from the information you have. Use it to prep a target for a pipeline review, intro call, or first internal discussion.
How it works
Step 01
What you provide
1
Company name / website
2
Available info or financials
3
Deal context / why you're looking
Step 02 Β· AI skill
Target Profile Generator
Runs in seconds
Step 03
What you get back
1
Company overview
2
Business & market
3
Financial snapshot
4
Strategic fit
5
Watch items
Sample output β Project Meridian
TARGET PROFILE β Meridian Cloud OVERVIEW HQ Atlanta, GA Founded 2014 Headcount ~90 FTE (incl. 18 SOC analysts) Ownership Founder-owned (single majority holder) BUSINESS & MARKET Managed security services (MSSP) β 24Γ7 SOC, managed detection & response, and compliance monitoring. Serves SE US mid-market (200β2,000-seat organizations). Established SIEM/EDR stack; SOC 2 Type II certified. FINANCIAL SNAPSHOT Revenue (FY25) $11.0M (per CIM, unaudited) Growth +14% YoY Recurring revenue 76% Margin not disclosed Top customer % not disclosed STRATEGIC FIT Directly fills our SOC / MDR capability gap and gives us a trained analyst team we can't hire fast enough. Strong overlap with our ~220 mid-market accounts for cross-sell. WATCH ITEMS β’ Customer concentration not disclosed β confirm before advancing β’ Growth reportedly driven by 2 large FY25 logos β check durability β’ Key SOC-analyst retention will make or break the value
Ready-to-run prompt
Copy this into ChatGPT, Claude, or any LLM. Replace the {{placeholders}} with your inputs.
You are an M&A analyst producing a one-page target profile. INPUTS β company:{{company}}; available info/financials:{{info}}; deal context:{{context}}. OUTPUT (one page): OVERVIEW (HQ, founded, size, ownership); BUSINESS & MARKET (products, market, model); FINANCIAL SNAPSHOT (only figures provided; else "not disclosed"); STRATEGIC FIT (why it matters to us); WATCH ITEMS (early flags). Rules: use only provided info; never estimate revenue/headcount; mark gaps clearly.Placeholders to fill in
Company name / website
Available info or financials
Deal context / why you're looking
Sourcing & Screening
Outreach Prep
Overview
Prepares a first-contact approach β outreach note, talking points, and likely questions β for a target's owner or CEO. Use it once you've prioritized a target and it's time to make contact.
How it works
Step 01
What you provide
1
Target profile
2
Relationship / warmth (warm or cold)
3
Your angle / why them
Step 02 Β· AI skill
Outreach Prep
Runs in seconds
Step 03
What you get back
1
Approach note
2
Talking points
3
Likely questions + answers
4
What to hold back
Sample output β Project Meridian
OUTREACH PREP β Meridian Cloud (cold Β· founder-owned) APPROACH NOTE Subject: A confidential conversation Hi [Founder] β I lead corporate development at [Acquirer]. We've followed what Meridian has built in Southeast managed security and have real admiration for your SOC team and reputation. We're expanding in MDR and would value a confidential, no-obligation conversation about whether there's a fit between our two businesses. Open to a short call in the next couple of weeks? TALKING POINTS (first call) β’ Who we are and why Meridian specifically β not a spray-and-pray process β’ We're a strategic buyer, not financial β a long-term home for the team β’ Respect for the brand and people; continuity matters to us β’ Keep it exploratory β listen more than pitch β’ Agree a light next step (mutual NDA) only if there's mutual interest LIKELY QUESTIONS β SUGGESTED ANSWERS "Are you just fishing?" β No β you're a priority target that fits a specific thesis. "What happens to my team?" β Continuity is central; we're buying the team, not replacing it. "What's it worth?" β Too early β we'd want to understand the business first. "Is this confidential?" β Fully; we'll sign a mutual NDA before anything substantive. WHAT TO HOLD BACK (for later) β’ Valuation range or multiples β’ Integration / headcount specifics β’ Internal thesis details and synergy numbers
Ready-to-run prompt
Copy this into ChatGPT, Claude, or any LLM. Replace the {{placeholders}} with your inputs.
You are a corp dev lead preparing to approach an acquisition target. INPUTS β target:{{target}}; relationship/warmth:{{relationship}}; angle/why them:{{angle}}. OUTPUT: 1) APPROACH NOTE (short, non-salesy outreach message); 2) TALKING POINTS (4β5 for a first call); 3) LIKELY QUESTIONS (what they'll ask + suggested answers); 4) WHAT TO HOLD BACK (topics to reserve for later). Rules: respectful, discreet tone; no pressure tactics; don't promise terms.Placeholders to fill in
Target profile
Relationship / warmth (warm or cold)
Your angle / why them
Integration
Day 1 Readiness Checklist
Overview
Creates a function-by-function checklist so nothing critical slips on close day. Use it in the final run-up to close, when Day-1 execution has to be airtight.
How it works
Step 01
What you provide
1
Deal structure
2
Functions in scope
3
Close date
Step 02 Β· AI skill
Day 1 Readiness Checklist
Runs in seconds
Step 03
What you get back
1
Checklist by function
2
Owners & deadlines
3
Critical 'by 9am' shortlist
Reading the timeline
T-0
Close day / Day 1
T-minus N
N days before close
T+N
N days after close
Sample output β Project Meridian
Legend: T-0 = close day / Day 1 Β· T-minus N = N days before close Β· T+N = N days after close DAY-1 READINESS CHECKLIST β Project Meridian Structure: 100% stock purchase Β· Close: [DD MMM] PEOPLE Owner Due β‘ Welcome comms drafted & approved HR T-2 days β‘ Retention agreements countersigned HR T-1 day β‘ Manager talking points distributed HR T-1 day IT / SECURITY Owner Due β‘ SSO + email accounts staged IT T-1 day β‘ SOC access continuity verified (no downtime) CISO T-0 β‘ Asset & license inventory confirmed IT T-1 day FINANCE Owner Due β‘ Payroll continuity confirmed Finance T-2 days β‘ Bank / authority signatories updated Finance T-0 β‘ Day-1 opening balance sheet ready Finance T-0 LEGAL Owner Due β‘ Closing docs executed & filed Legal T-0 β‘ Customer change-of-control notices ready Legal T-0 COMMS Owner Due β‘ Internal all-hands scheduled (11:00) Comms T-0 β‘ External / customer announcement approved Comms T-1 day CUSTOMER / GTM Owner Due β‘ "Nothing changes today" note to top-20 GTM T-0 β‘ Support & escalation paths confirmed GTM T-0 ββ MUST HAPPEN BY 9:00 AM, DAY 1 ββ β Employee welcome comms sent β Payroll & system access verified β SOC running with zero downtime β Customer change-of-control notices live β Leadership all-hands confirmed for 11:00
Ready-to-run prompt
Copy this into ChatGPT, Claude, or any LLM. Replace the {{placeholders}} with your inputs.
You are an integration lead building a Day-1 readiness checklist. INPUTS β structure:{{structure}}; functions in scope:{{functions}}; close date:{{close_date}}. OUTPUT: Begin the output with a short legend line explaining the notation: 'T-0 = close day / Day 1 Β· T-minus N = N days before close Β· T+N = N days after close', then a checklist grouped BY FUNCTION, each item with an owner and a deadline relative to close using that notation. IMPORTANT: if 'functions in scope' names specific functions, INCLUDE ONLY those functions and do not add any others; if it is blank, cover the standard set (People, IT/Security, Finance, Legal, Comms, Customer/GTM, Facilities). End with a 'must-happen by 9am on Day 1' shortlist. Rules: focus on what breaks if missed; note structure-dependent items; this checklist is meant to be built during the run-up to close, so clearly flag lead-time items (e.g. offer letters, legal entity / chart-of-accounts setup) that must be actioned weeks before close, not on close day.Placeholders to fill in
Structure
e.g. asset purchase, stock purchase, or merger
Functions
e.g. People, IT, Finance β leave blank to cover all functions
Close date
Best used 2β4 weeks before close, so there's time to act on the earlier items.