Consulting Firm Principal · Business Development
Turning a current engagement into the next one — spotting expansion opportunities while you're still delivering
Support business development for follow-on work
What You Do
You identify opportunities for additional work during the engagement, build relationships that generate follow-on proposals, and contribute to the firm's pipeline growth.
How AI Helps
AI identifies expansion signals during engagements, suggests follow-on opportunities based on similar client trajectories, and drafts preliminary proposals.
Technologies
How It Works
The system ingests similar client trajectories as its primary data source. The analytics engine aggregates data across sources, applies statistical analysis to identify significant patterns and outliers, and presents the results through visualizations that highlight what needs attention. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Follow-on opportunities surface more systematically when AI identifies signals that indicate client readiness for additional work.
What Stays
Building the relationship that earns the right to propose more work, understanding the client's strategic direction, and the credibility that comes from delivering this engagement well.
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 support business development for follow-on work, 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 support business development for follow-on work 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 VP Operations or COO
“Which training programs have the highest completion rates, and which have the lowest — what's different?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“How do we currently assess whether training actually changed behavior on the job?”
They understand the workflow dependencies that AI tools need to respect
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.