M&A: Advanced Due Diligence Agent – Sapience Cloud

Overview

Buying a business — or preparing yours to be bought — means due diligence: the structured investigation of a target company's finances, contracts, people, technology, and risks before anyone signs. Done well, it takes a coordinated team of accountants, lawyers, and strategy consultants weeks. Done badly, it's how buyers end up owning someone else's problems.

The Sapience Due Diligence Agent gives you that deal team in one agent. It works like a combined Quality-of-Earnings accountant, commercial due-diligence consultant, M&A lawyer, and corporate-development lead: it plans the investigation, tells you exactly which documents to request, reads what you upload, hunts for red flags, scores every risk it finds, and writes the investment-committee-ready summary at the end. You bring the deal; it brings the method.

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Who has this agent: The Due Diligence Agent is an installable agent — it doesn't appear in your agent list until you add it. Install it with one click from the Sapience AI Store, where it's the first agent in the new M&A category.

What It Can Do

Once installed, you can ask it to:

Plan the diligence — it builds a workplan across every workstream that matters for your deal: financial/Quality of Earnings, legal, tax, commercial, operational, IT & cyber, HR, intellectual property, ESG, and regulatory.

Tell you what to ask for — it drafts a prioritized document request list (a "DRL"), organized by workstream, with the must-have documents flagged first. It also treats a seller who won't produce documents as a finding in itself.

Review a data room — upload the target's documents and it reads them, surfaces red flags, and ranks them by how much they could move the price.

Walk you through the numbers — Quality of Earnings concepts like the Adjusted EBITDA bridge, the working-capital peg, proof of cash, and revenue cut-off testing, explained and applied to your deal. For heavy number-crunching it hands the spreadsheet work to the Data Analyst agent.

Score and report risk — every red flag gets a Likelihood × Impact score, so a "concerning but unlikely" item doesn't drown out a "probable and expensive" one.

Write the deliverables — red-flag reports, exception/issues logs, and a due-diligence summary memo with a go / no-go recommendation, ready for your investment committee.

Keep the deal on track — it can schedule follow-up reminders for outstanding documents and deadlines, and email you its work product.

When To Use It

You want to…	Ask something like…
Start diligence on a target	"I'm a PE buyer under LOI for a $30M-EBITDA services business — build me a diligence workplan and a Tier-1 document request list."
Review what the seller sent	"Review this data room and give me a red-flag report ranked by impact on enterprise value."
Understand the financial analysis	"Walk me through a Quality of Earnings analysis: how do I build the Adjusted EBITDA bridge and the working-capital peg?"
Brief your decision-makers	"Draft a DD summary memo to our investment committee with a go / no-go recommendation."
Prepare your own company for sale	"We expect to be acquired next year — run sell-side diligence on us and tell me what a buyer will flag."
Check the market context	"Research recent transactions and litigation involving this target's industry and main competitors."

How You Use It

Install Sapience Due Diligence Agent from the AI Store (M&A category), then pick it from your agent list and start a chat.

Expect questions before answers. The agent's first move is always to understand the deal — whether you're a strategic buyer or a private-equity fund, whether it's an asset or stock purchase, what stage you're at, and what materials you have. That's deliberate: a PE buyout and a strategic technology acquisition need very different diligence, and the agent tailors the whole process to yours.

Use a starter prompt or your own words:

I'm a PE buyer under LOI for a $30M-EBITDA services business — build me a diligence workplan and a Tier-1 document request list.
Review this data room and give me a red-flag report ranked by impact on enterprise value.
Walk me through a Quality of Earnings analysis: how do I build the Adjusted EBITDA bridge and the working-capital peg?
Draft a DD summary memo to our investment committee with a go / no-go recommendation.

Upload documents (or point it at files already in Sapience) as the diligence progresses — it reads them and updates its findings.

What Happens Behind the Scenes

Deal-context discovery first. Before any analysis, the agent establishes buyer type, deal structure, target profile, stage, and scope — and remembers them, so you don't repeat yourself in later chats.

A real workstream framework. Each workstream (financial, legal, tax, commercial, operational, IT/cyber, HR, IP, ESG, regulatory) is worked the same professional way: objectives → documents to request → analyses to run → red flags → deliverable.

It reads your actual documents. Uploaded data-room files are searched and read directly — findings cite what the documents actually say.

It researches the outside world. Market conditions, comparable transactions, litigation, and regulatory issues are checked with live web research, not guessed from memory.

Every red flag gets a score. Likelihood (1–5) × Impact (1–5) gives each finding a 1–25 score; anything 15 or higher is flagged Critical. That's how the final report stays ranked by what matters.

Findings flow to the deal. The agent connects what it finds to price adjustments, warranties and indemnities, escrows, and deal structure — the way a deal team actually uses diligence output.

Number-heavy work is delegated. Financial modeling goes to the Data Analyst agent; deep multi-source research goes to the Web Research agent — each specialist doing what it's best at.

Good to Know

It remembers your deal. Deal context, scope decisions, and findings carry across conversations via the agent's memory.

It's smart on purpose. The agent runs on Claude Opus 5, one of the most capable models available — diligence judgment is precise, high-stakes work.

It knows how deals go wrong. Its method is built around famous diligence failures — the unverified core claim, the too-good-to-be-true revenue — and counters them with independent verification and cross-workstream checks.

It supports your advisors; it doesn't replace them. In the agent's own words: "M&A diligence support from an AI analyst — not legal, tax, audit, or investment advice, and not a valuation or fairness opinion. Validate all findings with your qualified advisors and independent verification before reliance."

Reviewing contracts in the deal? The Contract Review Agent is its natural partner for redlining the purchase agreement's ancillaries and the target's key contracts.

Summary

The Sapience Due Diligence Agent turns M&A diligence from an unstructured document pile into a managed, professional process: it scopes the deal, tells you what to request, reads what arrives, scores every red flag by likelihood and impact, and writes the investment-committee memo at the end. Install it from the AI Store's M&A category, tell it about your deal, and let it run the method while you make the decisions.