Practical Guide for Professional Services

5 AI Workflows That Microsoft Won't Build For You

Custom automation that stays valuable as Copilot improves

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Portfolio Rollup
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CIM Triage
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Deal Knowledge
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Meeting Prep
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Expert Insights

Why These 5 Workflows?

Microsoft Copilot is getting better fast. But there's a category of domain-specific automation that Microsoft will never standardize. That's where your edge is.

Microsoft Will Handle

  • Basic email summarization
  • Single-document Q&A
  • Meeting transcription + recap
  • Simple draft generation
  • Calendar-based reminders

You Still Need Custom

  • Multi-format portfolio data normalization
  • Domain-specific document scoring against your criteria
  • Cross-deal institutional knowledge search
  • Multi-source meeting prep orchestration
  • Expert call tagging and theme extraction
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Domain Specific

Domain-specific workflows that Microsoft won't build โ€” your criteria, your formats, your operational processes

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Cross-System

Connects data rooms, deal CRMs, and external tools Microsoft doesn't touch

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M365 Native

Runs in your tenant using Copilot Studio + Azure OpenAI โ€” your data stays yours

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Defensible Value

These workflows won't become commodity features in 6 months

Our clients include Davidson Kempner and Generation Investment Management
QuantSpark
Workflow 1 of 5
Highest Impact

Portfolio Reporting Rollup

Why Microsoft Won't Solve This

Your 10 portfolio companies send monthly reports in 10 different formats โ€” some Excel, some PDF, different column names, different KPI definitions. Someone manually normalizes this every month. Copilot can't handle format variation at this scale.

How It Works
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Reports arrive
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๐Ÿง 
AI extracts
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Normalize
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โš ๏ธ
Flag issues
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Unified view
Formats We Handle
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Excel Workbooks
Various layouts
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PDF Reports
Scanned or digital
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Email Bodies
Unstructured updates
Atlas Holdings โ€” Jan
Revenueยฃ12.3M โ†‘8%
EBITDAยฃ2.1M โ†‘12%
Cashยฃ1.4M โ†“5%
Neptune Services โ€” Jan
Revenueยฃ8.7M โ†‘4%
EBITDAยฃ1.2M โ†“2%
Cashยฃ2.1M โ†‘15%
2 days
Reduced to 2 hours monthlyFormat variation is the moat. No one else solves this.
QuantSpark
Workflow 2 of 5
Deal Flow

CIM/Teaser Triage

Why Microsoft Won't Solve This

Your fund sees 60+ opportunities per month. Associates spend hours screening deals that will never fit. Copilot can summarize a CIM โ€” but it can't score against your specific mandate, log to your deal tracker, or draft your standard rejection email.

How It Works
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Teaser arrives
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Extract metrics
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Score vs criteria
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Draft memo
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Log to tracker
Example: Auto-Scored Pipeline
Project Neptune โ€” Industrial Services 92 โ€” High Fit
Sector
โœ“ Industrial
Revenue
ยฃ18M โœ“
EBITDA
ยฃ3.2M โœ“
Geography
UK โœ“
Project Orion โ€” Consumer Tech 34 โ€” Auto-Declined
Sector
โœ— Consumer
Revenue
ยฃ2M โœ—
EBITDA
-ยฃ0.5M โœ—
Geography
US โœ—
70%
Deals auto-triaged before human reviewPartners only see qualified opportunities.
QuantSpark
Workflow 3 of 5
Institutional Memory

Cross-Deal Knowledge Search

Why Microsoft Won't Solve This

A partner asks: "What did we learn about supply chain issues across all our manufacturing deals?" The answer is buried in 50 expert call transcripts, 20 IC memos, and 100 emails across 8 deals. SharePoint Copilot searches one site. You need cross-deal institutional memory.

How It Works
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Ask question
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Search all deals
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Find sources
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โœจ
Synthesize
AI-Synthesized Answer
Across 8 manufacturing deals, three supply chain themes recur: (1) single-source supplier dependency, (2) Asian supplier lead times affecting working capital, and (3) raw material price volatility. Atlas and Titan both had motor assembly concentration. Neptune and Orion faced 10-12 week lead times.
10x
Faster pattern recognition across dealsYour firm's institutional memory, searchable.
QuantSpark
Workflow 4 of 5
Productivity

Meeting Prep Orchestration

Why Microsoft Won't Solve This

Management meeting with TargetCo tomorrow. Someone spends 45 minutes pulling together the latest CIM, recent emails, expert call notes, news mentions, and open questions. Copilot can summarize one document. You need multi-source aggregation triggered by your calendar.

How It Works
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Meeting in 24h
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Identify deal
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Pull sources
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Generate brief
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Deliver
Example: Auto-Generated Brief
Latest DocumentsAuto-pulled
๐Ÿ“„ CIM v3 (Updated 15 Jan) โ€” Revenue ยฃ18M, EBITDA ยฃ3.2M
๐Ÿ“Š Management Accounts Q4 โ€” Margin expansion to 18%
๐Ÿ“ง Last email from advisor (18 Jan) โ€” Exclusivity deadline 31 Jan
Recent Expert CallsKey insights
๐ŸŽค Industry Expert (12 Jan) โ€” "Market growing 8% CAGR, Neptune well-positioned"
๐ŸŽค Former Customer (10 Jan) โ€” "Service quality excellent, pricing competitive"
Open QuestionsFrom IC notes
โ“ Customer concentration โ€” Top 3 = 45% of revenue
โ“ Management equity rollover expectations
โ“ FY25 capex requirements for new facility
45 min
Saved per meeting, delivered automaticallyWalk in prepared. Every time.
QuantSpark
Workflow 5 of 5
Due Diligence

Expert Call Enrichment

Why Microsoft Won't Solve This

Every engagement has 5-15 expert calls. Teams Premium transcribes them. But six months later, "what did the supply chain expert say about lead times?" means re-listening to hours of calls. You need domain-specific tagging, theme extraction, and cross-call searchability.

How It Works
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Call ends
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Transcript
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Extract themes
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๐Ÿท๏ธ
Tag insights
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Make searchable
Example: Enriched Call
Expert: ...the lead times from Asian suppliers have gone from 6 weeks to 12...
Analyst: How are competitors handling this?
Expert: The top players are dual-sourcing now. Neptune is behind on this...
Expert: ...but their customer retention is exceptional, 95%+ across the board...

AI-Extracted Insights

Risk Single-source Asian suppliers, 12-week lead times
Risk Behind competitors on dual-sourcing strategy
Strength 95%+ customer retention rate
Market Industry moving to dual-source model
Auto-Tagged Themes
Supply Chain Competitive Position Customer Retention Operational Risk
100%
Of expert calls searchable by insight typeFind what the expert said. Instantly.
QuantSpark

How We Deliver These

Every workflow follows the same proven approach. Start small, prove value, then expand.

Typical Timeline: 2-4 Weeks Per Workflow
Week 1
Discover + Design
Week 2
Build + Test
Week 3
Integrate + Pilot
Week 4
Adopt + Refine
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The Orchestration Layer

Microsoft provides building blocks. We assemble them into workflows that fit how your firm actually operates โ€” your criteria, your formats, your processes.

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Microsoft 365 Native

Everything runs in your tenant. Data never leaves. Azure OpenAI โ€” not ChatGPT โ€” so prompts aren't used for training.

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External System Integration

Data rooms (Intralinks, Datasite), deal CRMs (DealCloud, Affinity) โ€” we connect what Microsoft doesn't touch.

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Defensible Long-Term

These aren't features Microsoft will ship in 6 months. Domain-specific automation that stays valuable.

The gap isn't AI capability.

It's assembling it into workflows that fit how your firm operates.

Ready to Automate?

If your team spends hours on work like this, we should talk.

Book a Discovery Call
1

Listen

Understand your workflow pain points

2

Identify

Spot 2-3 highest-impact opportunities

3

Outline

Map a path โ€” first prototype in 2 weeks

AiRE is QuantSpark's fractional AI implementation service

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