For any CFO or controller who has navigated a business combination, the purchase price allocation (PPA) process is a familiar source of friction. The moment a deal closes, the clock starts ticking on a 15-month window to finalize the allocation of consideration to identifiable tangible and intangible assets, goodwill, and liabilities. The pain is twofold: first, the sheer volume of data—valuation reports, legal documents, tax returns, internal spreadsheets—must be synthesized under tight deadlines. Second, the technical complexity of applying ASC 805 (or IFRS 3) to determine fair values for everything from customer relationships to trade names often requires expensive external valuation specialists. The result is a process that bleeds time, budget, and internal resources, all while exposing the company to audit scrutiny if the allocation is inconsistent or poorly documented.
This is where AI, specifically large language models like Claude, transforms the workflow. Instead of manually extracting data from dozens of documents and wrestling with spreadsheets, financial professionals can now use structured prompts to automate the heavy lifting. An AI tool can ingest the entire deal package—purchase agreement, valuation reports, tax basis schedules, and prior period financials—and produce a first-draft PPA memo, complete with fair value estimates, useful life determinations, and goodwill reconciliation. The AI does not replace the expert judgment of a valuation specialist, but it eliminates the grunt work of data extraction and formatting, allowing the finance team to focus on review, challenge, and strategic decisions. The result is a PPA that is faster to produce, more consistent in structure, and far less prone to manual error.
For controllers and CFOs managing multiple acquisitions in a single year, the productivity gain is dramatic. A process that once required two weeks of analyst time can be compressed into two days of AI-assisted work, with the output ready for partner review. The following prompts are designed to be copy-pasted directly into your AI session, adapted with your specific deal details.
How to Use These Prompts in Your Workflow
Before diving into the prompt templates, a brief note on integration. The most effective approach is to start with Prompt 1, which builds the foundational PPA analysis from your deal documents. After reviewing and refining the output, use Prompt 2 to generate the formal memo and disclosure language. Both prompts are designed to be used sequentially, but they also work independently if you already have partial analysis completed. For best results, upload your source files (purchase agreement, valuation report, tax basis schedule, target company financials) as attachments before running each prompt.
Prompt 1: Foundational PPA Analysis and Fair Value Estimation
First, read these files completely before responding:
[Purchase_Agreement_vFinal.pdf] — Contains the total consideration, payment terms, earnout provisions, and closing date
[Valuation_Report_XYZ_Co.pdf] — Includes the independent appraiser’s fair value estimates for intangible assets, property plant and equipment, and working capital adjustments
[Target_Tax_Basis_Schedule.xlsx] — Shows the tax basis of assets acquired and liabilities assumed, including any Section 338(h)(10) election details
[Target_Financials_Last_3_Years.pdf] — Contains audited balance sheets, income statements, and cash flow statements for the target company
Here is a reference for what I want to achieve:
I have attached a sample PPA memo from a prior acquisition I completed in 2025. The memo includes a fair value allocation table, a goodwill reconciliation, and a narrative explaining the valuation methodology for each major asset class.
Here’s what makes this reference work:
– The allocation table uses a consistent format: asset category, fair value, useful life (for intangibles), and tax basis
– Goodwill is calculated as the residual: Total Consideration minus Net Identifiable Assets at Fair Value
– Each intangible asset (customer relationships, trade name, technology) includes a brief justification for the valuation approach (e.g., multi-period excess earnings method for customer relationships)
– Footnotes reference specific paragraphs in the valuation report for audit trail
Here’s what I need for my version / SUCCESS BRIEF:
Type of output + length: A structured PPA analysis table with supporting narrative, approximately 2,000-3,000 words
Recipient’s reaction: The external auditor should be able to trace every number back to a source document. The CFO should be able to approve the allocation in one review session.
Does NOT sound like: A generic template. Avoid vague terms like “based on market data” without specifying the source. Do not use placeholder values.
Success means: The output passes a “tracing test” where each fair value can be linked to a specific page or cell in the uploaded documents.
My context file contains my standards, constraints, audience. Read it fully before starting.
DO NOT start executing yet. Ask clarifying questions first.
Give me your execution plan (5 steps max) before you begin.
Clarifying questions:
1. Do you want the analysis to reflect the tax basis separately from book fair value, or should I produce a single combined schedule?
2. For earnout provisions in the purchase agreement, should I assume the most likely payout scenario or use the probability-weighted expected value?
3. The target financials span three years—should I use the most recent fiscal year as the base for working capital analysis, or the trailing twelve months as of the closing date?
Prompt 2: PPA Memo and Disclosure Drafting
First, read these files completely before responding:
[PPA_Analysis_Output_v2.xlsx] — Contains the fair value allocation table, goodwill reconciliation, and useful life schedule generated from Prompt 1
[Audit_Review_Comments_2025.pdf] — Shows the specific questions and challenges the audit team raised on our last PPA, including requests for additional support on useful life assumptions
[ASC_805_Checklist.pdf] — Our internal compliance checklist for purchase accounting, including required disclosures for identifiable intangible assets and goodwill impairment testing
Here is a reference for what I want to achieve:
I have attached a 10-K filing excerpt from a comparable public company that completed an acquisition in their most recent fiscal year. Note how the PPA footnote describes the valuation methodology for each material intangible asset class.
Here’s what makes this reference work:
– The disclosure uses a “tabular format” for the allocation: consideration transferred, identifiable assets acquired, liabilities assumed, and goodwill
– Useful life ranges are presented (e.g., “3-7 years” for customer relationships) rather than a single point estimate
– The narrative explains why the acquirer concluded that goodwill is not deductible for tax purposes, referencing the specific tax election
– Contingent consideration is described with both the range of outcomes and the discount rate used in the probability-weighted estimate
Here’s what I need for my version / SUCCESS BRIEF:
Type of output + length: A complete PPA memo suitable for board review, plus draft disclosure language for the 10-K, approximately 3,000-4,000 words
Recipient’s reaction: The audit partner should be able to sign off after reading the memo once. The CFO should feel confident presenting the allocation to the audit committee.
Does NOT sound like: A legal brief. Avoid excessive hedging language. Do not use “management believes” without supporting facts. Avoid jargon that would confuse a non-specialist board member.
Success means: The memo includes a signed attestation page template, and the disclosure notes fit within the standard ASC 805 footnote format used by the company’s peer group.
My context file contains my standards, constraints, audience. Read it fully before starting.
DO NOT start executing yet. Ask clarifying questions first.
Give me your execution plan (5 steps max) before you begin.
Clarifying questions:
1. Should the memo include a section on impairment testing triggers for goodwill, or focus exclusively on the initial allocation?
2. For the disclosure notes, do you prefer a “short-form” footnote (one paragraph per asset class) or a “long-form” footnote with separate tables for each intangible asset category?
3. The reference 10-K uses a three-year useful life for non-compete agreements—should I default to that, or use the specific contractual term from the purchase agreement?
Practical Next Steps for Your Team
After running both prompts, the most valuable step is to perform a “reverse trace” on the AI’s output. Take the goodwill reconciliation and manually verify that the residual calculation matches the total consideration minus the sum of identifiable net assets at fair value. Then, for each intangible asset, confirm that the useful life falls within the range supported by the valuation report. This verification step takes less than 30 minutes and dramatically reduces audit risk.
One additional tip: when using these prompts for a deal with contingent consideration (earnouts), explicitly ask the AI to run three scenarios—base case, upside, and downside—and show how each scenario affects the goodwill calculation. This will prepare you for the inevitable audit question about “what if the earnout is achieved at the maximum level?” and demonstrates robust sensitivity analysis in your documentation.
Finally, consider building a “PPA Playbook” folder in your document management system where you store the AI-generated analysis alongside the source documents. For serial acquirers, this creates a searchable repository of valuation methodologies and useful life precedents that accelerates future allocations. The next time you acquire a software company, you can pull the AI’s prior analysis for a similar acquisition and update the assumptions in minutes rather than starting from scratch.
Published on 19 July 2026 on growwithgpt.com