Managing Director
Develop and present pitch materials for competitive processes
What You Do Today
Oversee the creation of pitch books that win mandates — market positioning, valuation perspectives, buyer/target analysis, and credentials. Present to boards and C-suites in high-stakes settings.
AI That Applies
AI generates pitch book components from market data, auto-populates credentials and league tables, and creates valuation analyses from comparable transactions.
Technologies
How It Works
The system ingests from comparable transactions as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output — pitch book components from market data — surfaces in the existing workflow where the practitioner can review and act on it.
What Changes
Pitch book production accelerates dramatically. Standard sections build themselves from data.
What Stays
Crafting the pitch narrative — why your firm, why now, and what makes your approach different — and delivering it with credibility in a boardroom requires personal presence.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for develop and present pitch materials for competitive processes, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long develop and present pitch materials for competitive processes takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your board chair or lead independent director
“Which steps in this process are fully rule-based with no judgment required?”
They shape expectations for how AI appears in governance
your CTO or CIO
“What's the error rate on the manual version, and what would "good enough" look like from an automated version?”
They own the technology infrastructure that enables AI adoption
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.