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.

Preview skill
Strategy & Pipeline

Deal Thesis Builder

Go from a rough idea to a board-ready acquisition thesis in minutes.

Gets you·Thesis · Target profile · Risks & walk-away
Preview skill
Sourcing & Screening

Target Identification & Screening

It proposes the weighting from your thesis, you confirm or tweak, then it ranks your targets.

Gets you·Proposed weighting · Ranked shortlist · Next steps
Preview skill
Due Diligence

Diligence Request List Generator

Get a complete diligence request list — export it straight to Excel, ready for the data room.

Gets you·Full request list · Priorities & owners · Excel file
Preview skill
Due Diligence

Document & CIM Summarizer

Turn a dense CIM or contract into a clear summary, key facts, and red flags.

Gets you·Exec summary · Key facts · Red flags
Preview skill
Integration

Integration Workplan Builder

Turn the deal thesis into a Day-1 checklist and phased 100-day plan.

Gets you·Day-1 checklist · 100-day plan · Synergy map
Preview skill
Reporting

Executive Deal Update Generator

Turn messy status notes into a crisp, board-ready deal update.

Gets you·Headline status · RAG by workstream · Risks & asks
Preview skill
Sourcing & Screening

Target Profile Generator

Get a clean, one-page profile on any target in seconds.

Gets you·One-page profile · Financial snapshot · Fit & watch items
Preview skill
Sourcing & Screening

Outreach Prep

Get a ready-to-send approach note and talking points for any target.

Gets you·Approach note · Talking points · Q&A prep
Preview skill
Integration

Day 1 Readiness Checklist

Get a function-by-function checklist so nothing slips on close day.

Gets you·Function checklist · Owners & deadlines · 9am must-haves

Strategy & Pipeline

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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.

Step 01

What you provide

1

Strategic objective

2

Target industry

3

Geography

4

Size criteria

5

Constraints

Step 02 · 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 deliverable

DEAL THESIS — Managed Detection & Response (MDR) Expansion
Prepared for: Corp Dev Committee · Draft v1

THESIS STATEMENT
Acquire a founder-owned regional MSSP with $8–15M 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 / 24×7 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 — 3 of our top competitors added MDR in the last 24 months [VALIDATE]

IDEAL TARGET PROFILE
Revenue        $8–15M
Headcount      60–120 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 (~$0.4–0.6M/yr) [ASSUMPTION]
Capability  Acquire a trained SOC team we cannot hire fast enough in-house

KEY RISKS & ASSUMPTIONS
• ASSUMPTION: SOC analysts stay post-close — the #1 value driver
• RISK: customer concentration is common in this segment — diligence must confirm
• RISK: integrating a 24×7 operation is harder than a standard tuck-in
• ASSUMPTION: cross-sell works without heavy AM re-training

WALK-AWAY CRITERIA
✗ Top customer > 25% of revenue
✗ No non-competes / retention hooks on key SOC staff
✗ Asking price > 2.5x revenue with no growth-premium justification
✗ Failed or absent SOC 2 audit

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 — objective:{{objective}}; industry:{{industry}}; geography:{{geography}}; size:{{size_criteria}}; constraints:{{constraints}}. Rules: don't invent data (mark '[VALIDATE]'); label assumptions vs inputs.

Strategic objective

Target industry

Geography

Size criteria

Constraints

Sourcing & Screening

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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.

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 · 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 deliverable

STEP 1 — 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.

─────────────────────────────────────────────────
(User: "confirm")
─────────────────────────────────────────────────

STEP 2 — TARGET SCREEN — MDR Expansion Thesis
Weights applied as above · Universe screened: 14 · 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    –    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)
   … 9 more below threshold (parked / excluded)

EXCLUDED (hard fails)
• Sentinel Ops — PE-owned, mid-auction (process risk, likely priced out)
• CyberField — top customer ~40% of revenue (exceeds concentration deal-breaker)

MISSING INFORMATION
Meridian Cloud  — confirm FY25 revenue & margin; ownership structure
Northgate       — no financials disclosed; request via broker before scoring finance
Pinnacle IT     — 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

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 4–6 weighted screening criteria with weights summing to 100%.
- Present them as a short table: criterion · weight · 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 1–10 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 — thesis:{{thesis}}; what matters most (optional):{{what_matters_most}}; exclusions:{{exclusions}}; existing list:{{target_list}}; geo/size:{{geo_size}}. Rules: never fabricate — unknown = 'not disclosed'; keep weights transparent; in Step 1 you must stop and wait — do not produce the ranking until the user confirms.

Thesis

What Matters Most

Exclusions

Existing target list

Geography & size

Diligence Request List Generator

Overview

Generates a complete, workstream-by-workstream diligence request list with priorities and owners — and exports it straight to Excel. Use it right after the LOI, when you're opening the data room.

Step 01

What you provide

1

Deal structure

2

Industry

3

Deal size

4

Workstreams in scope

Step 02 · 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 deliverable

DILIGENCE REQUEST LIST — Project Meridian
Structure: 100% stock purchase · Industry: MSSP · Size: ~$40M EV · 6 workstreams

FINANCIAL                                        Owner       Pri
□ Audited financial statements, FY23–FY25        Target      P1
□ Monthly P&L, trailing 24 months                Target      P1
□ AR aging + customer revenue concentration      Target      P1
□ Adjusted EBITDA bridge w/ add-back detail      Target/Adv  P1
□ Current-year budget vs. actuals                Target      P2
□ Deferred revenue & backlog schedule            Target      P2

LEGAL                                            Owner       Pri
□ Cap table & option ledger                      Target      P1
□ Material contracts >$100k [structure-dependent] Target     P1
□ Customer contracts w/ change-of-control clauses Target/Adv P1
□ IP assignments & registrations                 Target      P2
□ Litigation / dispute history                   Target      P2

COMMERCIAL                                       Owner       Pri
□ Top-20 customer list w/ tenure & ARR           Target      P1
□ Logo retention / churn (trailing 3 yr)         Target      P1
□ Pipeline & win-rate data                       Target      P2

TECHNOLOGY / SECURITY                            Owner       Pri
□ SOC 2 Type II report (current)                 Target      P1
□ SIEM/EDR tooling inventory & licenses          Target      P1
□ SOC staffing & 24×7 shift-coverage model       Target      P2

HR / PEOPLE                                      Owner       Pri
□ Org chart + compensation bands                 Target      P1
□ Key-employee agreements & non-competes         Target      P1
□ SOC analyst tenure & attrition data            Target      P1

TAX                                              Owner       Pri
□ Federal & state returns (3 yr)                 Target/Adv  P1
□ 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

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 — structure:{{structure}}; industry:{{industry}}; size:{{size}}; workstreams:{{workstreams}}; concerns:{{context}}. Rules: tailor to industry; note structure-dependent items; de-duplicated.

Deal structure

Industry

Deal size

Workstreams in scope

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.

Step 01

What you provide

1

The document

2

What you're screening for (the lens)

Step 02 · 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 deliverable

CIM SUMMARY — Meridian Cloud   (lens: MDR fit + earnings quality)

EXECUTIVE SUMMARY
• FY25 revenue $11.0M, +14% YoY; adjusted EBITDA $2.0M (~18% margin), unaudited
• Recurring revenue 76% of total — healthy for the segment
• 18 dedicated SOC analysts; SOC 2 Type II in place (per CIM)
• Broadly marketed by a boutique advisor; management "willing to stay, subject to terms"
• Implied ask ~3.6x revenue / ~20x adj. EBITDA — 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   —

FLAGS & OPEN QUESTIONS
⚑ Adj. EBITDA includes ~$400k of add-backs (owner comp + one "non-recurring" item) — request schedule
⚑ Customer concentration NOT disclosed — critical vs. our walk-away rule; request top-20
⚑ Growth attributed to "two large logos" in FY25 — how durable / concentrated?
⚑ 76% recurring claimed but contract terms not evidenced — verify in data room
NOTE: CIM figures are unaudited management CLAIMS, not evidenced results.

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 (4–6 bullets), KEY FACTS & TERMS (table), FLAGS & OPEN QUESTIONS. Inputs — document:{{document}}; lens:{{lens}}. Rules: use ONLY the document; missing = 'not disclosed'; don't infer figures; separate CLAIMS from EVIDENCE.

The document

What you're screening for (the lens)

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.

Step 01

What you provide

1

Thesis & synergy targets

2

Functions in scope

3

Close date

4

Constraints

Step 02 · 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 deliverable

INTEGRATION WORKPLAN — Project Meridian
Close: [DD MMM] · Functions: People, IT/Security, Finance, GTM, Facilities
Synergy target: $1.2M run-rate · Owner: Integration Lead

DAY-1 CHECKLIST (must-happen)
People   □ Welcome comms to all Meridian staff (09:00)        Integration Lead
People   □ Retention agreements countersigned & confirmed      HR
IT/Sec   □ SSO + email access provisioned; no SOC downtime     IT
Finance  □ Payroll continuity confirmed for first cycle        Finance
Legal    □ Customer change-of-control notices issued           Legal
GTM      □ "Nothing changes today" note to top-20 accounts     GTM Lead

100-DAY PLAN
Phase 1 · Wk 1–2 (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 · Wk 3–6 (Connect)
  GTM      Joint pipeline review; cross-sell v1       GTM      Wk 4
  IT/Sec   Tooling rationalization plan (SIEM/EDR)     IT       Wk 5
Phase 3 · Wk 7–10 (Optimize)
  Ops      Duplicate role decisions [SENSITIVE]       HR/Ops   Wk 8
  IT/Sec   Tooling consolidation executed             IT       Wk 9
Phase 4 · Wk 11–14 (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
• SSO/email cutover (Wk1) BLOCKS tooling consolidation (Wk9)
• Retention signed (Wk1) is a PREREQUISITE to any role decisions (Wk8)
• QoE-confirmed baseline feeds the synergy tracking cadence (Wk11)

SYNERGY LINKAGE
Tooling consolidation    → $180k   (IT, Wk9)
Duplicate role removal   → $520k   (HR/Ops, Wk8) [high sensitivity]
Cross-sell (MDR attach)  → $500k   (GTM, Q3 ramp)
                  TOTAL  → $1.20M run-rate

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 — thesis/synergies:{{thesis_synergies}}; functions:{{functions}}; close date:{{close_date}}; constraints:{{constraints}}. Rules: sequence by dependency; flag high-sensitivity items; tie to thesis.

Thesis & synergy targets

Functions in scope

Close date

Constraints

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.

Step 01

What you provide

1

Raw status notes/tracker

2

Audience

3

Reporting period

Step 02 · 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 deliverable

INTEGRATION UPDATE — Project Meridian — Week 6
Audience: Executive Team · Prepared by: Integration Lead

HEADLINE
🟢 ON TRACK — systems cutover complete and retention locked; synergy capture is slightly
behind plan but recoverable.

PROGRESS vs. PLAN
Workstream          Status  Detail
IT / Security       🟢      SSO + email cutover complete; zero SOC downtime
People / Retention  🟢      All 5 retention agreements signed
Finance             🟢      Reporting consolidated into group P&L
Synergies           🟠      38% captured vs. 40% planned (tooling slipped 1 wk)
Cross-sell (GTM)    ⚪      Kicks off Week 8 as scheduled
Facilities          🟢      Lease renewal signed

RISKS & ASKS
⚠ RISK: Duplicate back-office role decisions (Wk 8) are sensitive and slipping — need
        HR/ELT sign-off by end of Week 7 to stay on plan.
🙋 ASK: Approve retention budget for 2 additional back-office roles ($90k) to secure
        continuity through consolidation.

NEXT MILESTONES
Wk 8   GTM cross-sell launch · role decisions finalized
Wk 9   Tooling consolidation executed (recovers synergy gap)
Wk 11  Synergy tracking cadence goes live

Copy this into ChatGPT, Claude, or any LLM. Replace the {{placeholders}} with your inputs.

You are preparing an executive update. Output: HEADLINE (🟢/🟠/🔴 + why), PROGRESS vs PLAN (RAG by workstream), RISKS & ASKS, NEXT MILESTONES. Inputs — notes:{{notes}}; audience:{{audience}}; period:{{period}}. Rules: match length to audience; surface ASKS clearly; report honestly.

Raw status notes/tracker

Audience

Reporting period

Sourcing & Screening

Unlock to download →

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.

Step 01

What you provide

1

Company name / website

2

Available info or financials

3

Deal context / why you're looking

Step 02 · 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 deliverable

TARGET PROFILE — 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) — 24×7 SOC, managed detection & response, and
compliance monitoring. Serves SE US mid-market (200–2,000-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
• Customer concentration not disclosed — confirm before advancing
• Growth reportedly driven by 2 large FY25 logos — check durability
• Key SOC-analyst retention will make or break the value

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 — 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.

Company name / website

Available info or financials

Deal context / why you're looking

Sourcing & Screening

Unlock to download →

Outreach Prep

Overview

Prepares a first-contact approach — outreach note, talking points, and likely questions — for a target's owner or CEO. Use it once you've prioritized a target and it's time to make contact.

Step 01

What you provide

1

Target profile

2

Relationship / warmth (warm or cold)

3

Your angle / why them

Step 02 · 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 deliverable

OUTREACH PREP — Meridian Cloud   (cold · founder-owned)

APPROACH NOTE
Subject: A confidential conversation

Hi [Founder] — 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)
• Who we are and why Meridian specifically — not a spray-and-pray process
• We're a strategic buyer, not financial — a long-term home for the team
• Respect for the brand and people; continuity matters to us
• Keep it exploratory — listen more than pitch
• Agree a light next step (mutual NDA) only if there's mutual interest

LIKELY QUESTIONS  →  SUGGESTED ANSWERS
"Are you just fishing?"     → No — you're a priority target that fits a specific thesis.
"What happens to my team?"  → Continuity is central; we're buying the team, not replacing it.
"What's it worth?"          → Too early — we'd want to understand the business first.
"Is this confidential?"     → Fully; we'll sign a mutual NDA before anything substantive.

WHAT TO HOLD BACK (for later)
• Valuation range or multiples
• Integration / headcount specifics
• Internal thesis details and synergy numbers

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 — target:{{target}}; relationship/warmth:{{relationship}}; angle/why them:{{angle}}. OUTPUT: 1) APPROACH NOTE (short, non-salesy outreach message); 2) TALKING POINTS (4–5 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.

Target profile

Relationship / warmth (warm or cold)

Your angle / why them

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.

Step 01

What you provide

1

Deal structure

2

Functions in scope

3

Close date

Step 02 · 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 deliverable

Legend: T-0 = close day / Day 1 · T-minus N = N days before close · T+N = N days after close

DAY-1 READINESS CHECKLIST — Project Meridian
Structure: 100% stock purchase · Close: [DD MMM]

PEOPLE                                          Owner    Due
□ Welcome comms drafted & approved              HR       T-2 days
□ Retention agreements countersigned            HR       T-1 day
□ Manager talking points distributed            HR       T-1 day

IT / SECURITY                                   Owner    Due
□ SSO + email accounts staged                   IT       T-1 day
□ SOC access continuity verified (no downtime)  CISO     T-0
□ Asset & license inventory confirmed           IT       T-1 day

FINANCE                                         Owner    Due
□ Payroll continuity confirmed                  Finance  T-2 days
□ Bank / authority signatories updated          Finance  T-0
□ Day-1 opening balance sheet ready             Finance  T-0

LEGAL                                           Owner    Due
□ Closing docs executed & filed                 Legal    T-0
□ Customer change-of-control notices ready      Legal    T-0

COMMS                                           Owner    Due
□ Internal all-hands scheduled (11:00)          Comms    T-0
□ External / customer announcement approved     Comms    T-1 day

CUSTOMER / GTM                                  Owner    Due
□ "Nothing changes today" note to top-20        GTM      T-0
□ Support & escalation paths confirmed          GTM      T-0

━━ MUST HAPPEN BY 9:00 AM, DAY 1 ━━
✓ Employee welcome comms sent
✓ Payroll & system access verified
✓ SOC running with zero downtime
✓ Customer change-of-control notices live
✓ Leadership all-hands confirmed for 11:00

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 — 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 · T-minus N = N days before close · 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.

Structure

e.g. asset purchase, stock purchase, or merger

Functions

e.g. People, IT, Finance — leave blank to cover all functions

Close date

Best used 2–4 weeks before close, so there's time to act on the earlier items.

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