Private Equity Framework

The Intelligence Layer
Traditional DD Cannot Reach.

Management packs show you what a business wants you to see. Our due diligence shows you what is actually happening: in the customer experience, in the inbox, in the sales meetings, and in the Slack channels.

Every acquisition decision should start here.

Target Assessment
7 Risk Signals
CIM claim vs. AI finding
"98% client retention rate"
34% of at-risk accounts had zero follow-up in Q4
Reviews
1,247
analysed
Calls
408
mystery shopped
Emails
14.2k
scanned
Meetings
312
transcribed
Messaging
8.7k
messages
CRM
2,841
records
Live Findings
Reviews 15 locations below NPS 20, masked by group average
Calls 42% of locations failed to mention premium tier
Slack 3x spike in job-search channel activity since Aug
Emails 23% of inbound enquiries got no reply within 5 days

What Management Packs Cannot Tell You

Every acquisition is built on incomplete information. The question is how incomplete. Traditional due diligence leaves three critical blind spots.

What the CIM Says What the Data Shows
"98% client retention rate"
Email analysis: 34% of at-risk account signals went unactioned in Q4
"Industry-leading NPS of 72"
Review intelligence: NPS masks 15 locations with scores below 20
"Sales team consistently hitting target"
Meeting transcripts: 28% of pipeline is stale deals that never close
"Strong internal culture, low attrition"
Slack analysis: 3x increase in job-search channel activity in 6 months

The Information Pack

Every target presents curated data. Revenue trends, headcount summaries, client retention rates. All directionally accurate. None of it shows you the daily reality of how the business operates.

73% of PE deals encounter post-acquisition surprises

The Site Visit Problem

Site visits show you the business on its best day. Staff are briefed, offices are tidy, metrics are rehearsed. You see a performance, not a pattern.

2-5% sample rate from traditional call monitoring

The Integration Cliff

Without a baseline understanding of how the business actually operates, day one of ownership begins with guesswork. Integration plans built on assumptions cost months and millions.

60% of value creation plans underperform in year one

Three Phases of AI Due Diligence

From first look to ongoing ownership, AI analysis covers every phase of the deal lifecycle. Each phase builds on the last.

Pre-Acquisition: External

Customer-Facing Insight

See how customers actually experience the business. No cooperation needed. No alerts raised. Public reviews and covert mystery shopping reveal the ground truth of service delivery across every location.

Reviews Mystery Calls
GoogleTrustpilotAI Voice
Pre-Acquisition: Internal

Operational Insight

Analyse every email, meeting, message, CRM record, and support ticket. Understand how work actually flows, where promises are broken, and what the management presentation leaves out.

Calls Emails Meetings Messaging CRM Tickets
Microsoft 365FirefliesSlackSalesforceZendesk
Post-Acquisition

Deployment Insight

Every stream stays connected after completion. Monitor integration progress, identify where to deploy digital workers for maximum impact, and benchmark improvement against the DD baseline in real time.

All Streams Continuous Benchmarking
All PlatformsContinuous

Traditional DD asks: Can we afford this? AI DD asks: Do we understand what we are actually buying?

Insight Without Access

Two streams that require no cooperation from the target business. Available during screening, before exclusivity, and without revealing your interest.

Public Data

Review Analysis

Google Reviews Trustpilot

Every Google review, every Trustpilot rating, every pattern in customer feedback. AI analyses thousands of reviews across all locations to surface sentiment trends, recurring complaints, competitor mentions, and the correlation between public perception and operational performance.

  • Locations with declining sentiment identified by quarter
  • Recurring complaint themes categorised by department
  • Competitor mentions and switching intent signals
  • Service delivery gaps mapped across locations
  • Correlation between review sentiment and financial performance
1,200+
Reviews analysed per target
87%
Correlation with call quality
Covert Operations

Mystery Shopping

AI Voice Calls Call Recording

Digital workers call target locations posing as genuine customers. They test the sales process, enquire about pricing, request follow-up information, and assess after-hours handling. Every call is recorded, transcribed, and analysed.

  • Sales process adherence across all locations
  • Pricing inconsistencies between branches
  • Upsell execution rates by location and time of day
  • After-hours handling and voicemail follow-up rates
  • Staff quality variance between top and bottom performers
100%
Location coverage
408
Calls typical campaign

External DD alone gives you more ground-truth insight than a week of management presentations. And nobody at the target knows you are looking.

Six Streams of Operational Truth

Read-only API access. No software installed. No staff involvement. Six data streams that reveal how the business actually operates versus how the management pack says it operates.

Email Analysis

Microsoft 365Google Workspace

Analyse senior team correspondence to understand response times, follow-up rates, deal handling patterns, client sentiment, and the gap between what CRM says happened and what the inbox shows.

23% of enquiries get no reply within 5 days See email analysis

Meeting Analysis

FirefliesTeamsZoom

Analyse recorded sales calls, client meetings, and internal reviews. Surface unactioned commitments, cross-sell signals that never convert, and the real conversion process versus the CRM funnel.

28% of meetings contain unactioned cross-sell signals See meeting analysis

Messaging Analysis

SlackTeamsWhatsApp

Internal communication reveals what no management presentation will tell you: team sentiment, knowledge silos, escalation frequency, cultural dynamics, and whether the dev team actually believes in the product roadmap.

Same question asked 50+ times per quarter See messaging analysis

Call Analysis

Recorded CallsVoIP

Every recorded sales call, customer service call, and complaint call analysed for patterns. Upsell attempts, objection handling, competitor mentions, pricing discussions, and the real close rate versus what the CRM reports.

Only 2-5% of calls are typically monitored by humans See call analysis

CRM Analysis

SalesforceHubSpot

Pipeline accuracy, data hygiene, adoption gaps, deal velocity, and the gap between what the CRM says and what actually happened. See whether the sales engine runs on process or on personality.

38% of pipeline is stale deals older than 90 days See CRM analysis

Ticket Analysis

ZendeskFreshdeskServiceNow

Support queue patterns, repeat issue clusters, SLA adherence, resolution time variance between teams, and escalation frequency. The real cost of service delivery, not the summary in the management pack.

4.2x resolution time gap between teams See ticket analysis

All Streams. Connected Insight.

Each stream is valuable alone. Connected, they reveal patterns that no single data source can surface. Cross-referencing is where AI due diligence becomes transformative.

Reviews
+
Calls
+
Emails
+
Meetings
+
Messaging
+
CRM
+
Tickets
=
Connected Insight
External + Internal Cross-Reference

Mystery calls reveal 42% of locations fail to mention the premium service tier. CRM data shows the same locations have 31% lower average deal values. Email follow-up analysis confirms: no post-call nurture sequence exists for 67% of enquiries at those locations.

Reviews + Meetings + Messaging

Review sentiment for Location Group B dropped 1.2 stars in Q3. Meeting transcript analysis from the same period shows a regional manager flagging staffing issues repeatedly. Slack data confirms: three key staff left in August with no replacements hired until November.

Emails + Tickets + Reviews

Email analysis shows the target's sales team promises 48-hour response times. CRM ticket data reveals actual average resolution is 7.2 days. Google reviews from the last 6 months contain 23 mentions of "waiting" and "no response". The management pack said SLA adherence was 94%.

From Insight to Deployment

Due diligence does not end at completion. The same intelligence that informed your acquisition decision becomes the foundation for value creation.

Operational Baseline

You start ownership with a quantified understanding of every operational stream. Response times, conversion rates, follow-up rates, sentiment scores, internal communication patterns. No other acquirer has this on day one.

Augmentation Mapping

The due diligence analysis identifies exactly where digital workers will create the most value. Which calls should be automated? Which follow-ups never happen? Which tickets are repeat patterns? The data tells you where to deploy first.

Continuous Monitoring

Every stream stays connected. Track the impact of integration decisions in real time. See whether the new processes are working before the quarterly board report tells you they are not.

This is where due diligence meets value creation. The AI-First PE Roll-Up Framework maps exactly which agent skills deploy against which operational costs.

See the PE Roll-Up Framework

Coverage Matrix

Which streams are active in which DD phase. Green dots indicate primary analysis. Grey dots indicate secondary or supporting analysis.

Stream
External DD
Internal DD
Post-Acquisition
Reviews
Mystery Calls
Emails
Meetings
Messaging
CRM
Tickets
Every green dot represents 100% analysis coverage. Not a sample. Not a spot check. Every conversation, every record, every message.

Frequently Asked Questions

Review intelligence is available within 48 hours of engagement. A mystery shopping campaign across 50 to 200 locations typically completes within two weeks. Both operate covertly, requiring no cooperation from the target business.

Read-only API access to existing systems: email server or Google Workspace, call recording platform, CRM, ticketing system, and Slack or Teams. No software is installed on target systems. No staff involvement is required. We connect, analyse, and deliver intelligence.

Yes. All analysis uses read-only access to data the business already captures. No new data collection occurs. Data processing agreements are standard, and all analysis surfaces aggregate patterns and business-level insights, not personally identifiable information.

Traditional commercial DD analyses financial statements, market position, and customer concentration. Our DD analyses actual operations: every call, every email, every meeting. The overlap is zero. This supplements and validates existing DD processes.

External DD (reviews and mystery shopping) requires no target involvement at all. For internal streams, access is arranged through the vendor DD process. Read-only API connections are invisible to end users. No staff interviews, no software installations, no disruption.

Every finding from the DD phase becomes a baseline metric. When a digital workforce is deployed post-acquisition (detailed in the AI-First PE Roll-Up Framework), improvement is measured against that baseline. The same analysis runs continuously, providing real-time visibility into whether integration decisions are working.

Every Acquisition Starts with a Question.
Now You Can Answer It.

See how the three-dimensional framework maps AI deployment potential across services businesses, or talk to us about applying this intelligence to your next deal.

Initial review intelligence and mystery shopping scoping are complimentary for qualified PE firms.