Propel 26

10
MIN READ
From MCP to Multi-Agent: The AI Concepts Every PS Leader Needs Right Now
Sri Ganesan's Propel 26 closing session unpacked 10 AI concepts every PS leader should understand—from MCP to multi-agent orchestration.
10
MIN READ
What Postman's Co-Founder Learned About Building for the AI-First Era
Product-led growth got Postman into 98% of the Fortune 500. Here's what Ankit Sobti learned when enterprise AI demanded something more.
10
MIN READ
Why AI Implementations Plateau — and How to Break It
Most AI implementations plateau within 90 days. Here's the maturity model Ada used to sustain adoption and drive 30% higher NDR.
10
MIN READ
Design Before You Automate Your PS Implementation
Zappi cut time to first value by 50%—not by automating first, but by redesigning implementation before scaling it with AI.
10
MIN READ
What Aviation Teaches PS Leaders About AI Readiness
Your consultants have AI tools. Do they know when not to trust them? Brian Hodges shows why human judgment still outranks autopilot.
10
MIN READ
The FDE Hiring Decision: When You Need One and When You Don't
FDE means consultant, PM, and engineer at once. Kevin, who built FDE at Palantir and Rippling, explains when the model works.
10
MIN READ
Three Decisions Every PS Leader Needs to Make Before 2027
45% of execs report meaningful AI ROI. Only 27% of managers agree. Three PS leaders share what's working—and what to fix before 2027.
10
MIN READ
How CFOs Are Rethinking AI Budgets — and What PS Teams Need to Know
Only 1 in 8 CFOs have a clear AI ROI formula. Three finance leaders explain how they evaluate AI spend, outcomes, and PS investments.
10
MIN READ
Forward Deployed Engineering: Finding the Model That Fits
No two forward-deployed engineering teams look alike. Four leaders share what works—and what every services team can learn from it.
10
MIN READ
How to Treat Implementation as a Product — Not a Service
Most implementation teams optimize for go-live. Unit 21's Emily Garza explains why that's the wrong goal—and what to measure instead.
10
MIN READ
Partner Delivery at Scale: Why Trust Alone Isn't Enough
Adding partners doesn't automatically create scale. Here's what Workiva, Gainsight, and Growth Molecules learned about doing it right.
10
MIN READ
How to Scale Professional Services Without Restructuring: The Visibility-First Model
Growth exposes every hidden delivery gap. OSV shares why scaling PS teams starts with shared visibility—not org restructuring.
10
MIN READ
How to Set Customer Goals During Onboarding (And Why Waiting Until CSM Handoff Hurts Retention)
Most onboarding teams focus on project milestones. The best teams align onboarding to business outcomes from day one.
10
MIN READ
Practical Ways to Turn AI into Your Implementation Copilot
AI doesn't need to replace implementation teams to create value. Here's how Topology uses AI as a practical copilot across delivery.
10
MIN READ
Why Net Revenue Retention (NRR) Is the Most Important Metric in Implementation
Time-to-value matters. So do margins. But the implementation metric with the biggest impact on SaaS growth might be NRR.
10
MIN READ
How to Prove AI ROI in Professional Services (When Productivity Gains Aren't Enough)
AI can save hours. But can it improve customer outcomes? Leaders from Verint, Proofpoint, and Glean explain what real AI ROI looks like.
10
MIN READ
Beyond the Bucket: How DBT Labs Shifted from Hours to Value
DBT Labs stopped selling hours and started selling expertise. Here's how a simpler services model improved customer outcomes.
10
MIN READ
The Delivery-to-Transformation Shift: Can Your Implementation Team Prove It Matters?
Project completion doesn't prove value. Learn why implementation teams need to measure transformation, adoption, and outcomes.
10
MIN READ
Proactive Professional Services: Why the Best Teams Have Stopped Taking Orders
As AI automates execution, the most valuable PS teams are becoming consultants, advisors, and outcome owners—not order takers.
10
MIN READ
The Outcome Era: How Professional Services Teams in AI Are Shifting from Delivery to Growth
AI is changing software delivery, but the biggest shift is happening in professional services. Here's why outcomes now matter in 2026.

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