Accelerant Growth Solutions logo
Technology & AI Practice

Pipeline looks healthy. Activity is up.
Deals keep slipping anyway.

Technology buying is changing faster than most go-to-market teams can adapt. AGS diagnoses where your revenue motion breaks and builds execution that keeps pace.

600+
Diagnostics led by AGS founders
2M+
Sellers benchmarked by OMG
4 min
To instant results
12
Behaviors that drive cycle length
The Technology Revenue Shift

The way buyers buy has changed. Most technology sales motions have not.

The 2019 playbook now works against you. Buyers are more informed and more skeptical, and the teams that win engage differently.

Feature-led demos
→
Change-led discovery
Activity metrics
→
Execution signals
Selling the solution
→
Selling the need to change first
Single-threaded deals
→
Multi-stakeholder alignment
AI as a bolt-on
→
AI integrated at every stage
What We See in Technology Teams Right Now
Long cycles with no clear cause.
Coverage looks fine, win rates do not. The problem is upstream in discovery and qualification.
AI adoption without strategy.
Teams buy AI tools faster than they can absorb them, adding complexity instead of leverage.
Sellers who educate instead of align.
Buyers stall because they do not feel understood, not because they lack information.
Forecast volatility that never resolves.
Late-stage surprises trace to a qualification gap from weeks earlier.
Training investments that do not hold.
Generic enablement skips the diagnosis and fades within 90 days.
Where Cycles Stretch

Your sales cycle is too long. Here is why.

Cycle length is a symptom. AGS works the twelve drivers behind it with the methodology used in paid technology engagements.

Cycle Compression: Find what is silently extending your deals and which shift pays off fastest.
Forecast Confidence: See where activity is masking pipeline risk.
Where to Focus First: The one change that shortens cycles without a methodology overhaul.

Built on 600+ AGS founder-led diagnostics and 2M+ Objective Management Group seller evaluations. Confidential.

CUSTOM SALES CYCLE SCORECARD

Your team's scores on the 12 drivers of cycle length, benchmarked.

PERSONALIZED INSIGHT REPORT

Your weakest driver, how it shows up in deals, and the shift that compresses cycles fastest.

PIPELINE CLARITY CALL WITH MARK PETRUZZI

Optional 30-minute review of your scorecard and fastest path to a shorter cycle.

COMING SOON: EARLY ACCESS

The full Ways to Shorten Your Sales Cycle diagnostic is in development. Get notified at launch.

Where Technology Revenue Stalls

Six patterns we see in nearly every technology diagnostic.

They appear wherever buyer behavior has outpaced seller methodology, from growth stage to enterprise.

The Skipped Change Conversation

Sellers jump to demos before the buyer has said why they need to change. The deal advances on paper only.

Single-Threaded Deals

One champion and no executive access. When the champion goes dark, so does the deal.

Pipeline Inflation

Forecasted deals that were never likely to close. Coverage looks healthy; conversion does not.

Late-Stage Stalls

Deals clear discovery and demo, then stop, because of a qualification gap from the first two stages.

AI Complexity Without Leverage

AI added to broken processes raises activity, not win rates. It amplifies whatever already exists.

Coaching Gaps at Scale

Managers inspect activity instead of coaching execution, so reps know what to do but cannot do it consistently.

AI Advisory for Technology Revenue Teams

AI does not solve execution problems. It amplifies whatever already exists.

Strong execution gets better with AI. Weak execution moves faster in the wrong direction. Most teams deploy AI before diagnosing what is broken.

AGS answers three questions before you buy: where AI creates leverage, what should never be automated, and how to sequence adoption.

Explore AI Advisory →
Where AI Creates Real Leverage in Technology GTM
Find More
Precision targeting. AI identifies which accounts are ready to buy, beyond which ones fit your ICP.
Win More
Deal intelligence. Real-time risk detection and multi-threading before deals stall.
Keep More
Expansion and churn signals. Surface whitespace and renewal risk before they become surprises.
The Technology Practice Team

Led by operators who built revenue inside technology organizations.

We have operated inside the kind of technology companies you are building.

Mark Petruzzi
Mark Petruzzi
Founder & CEO, Practice Lead

Bestselling author of Selling the Cloud and Data and Diagnosis-Driven Selling, which introduced the methodology behind every AGS engagement. Former Expert Advisor on GTM and business transformation for BCG and Genpact. Leads AGS's AI advisory work for technology and AI companies.

Alan Rudolph
Alan Rudolph
COO & Expert Accelerator

Former COO at Mitratech and Cendyn, with multiple PE/VC exits. Brings operator depth on scaling technology companies and what revenue quality looks like in a data room.

How AGS Serves Technology & AI Companies

From diagnostic to execution across the full revenue lifecycle.

Every engagement starts with a diagnosis, and the findings set the path.

DIAGNOSTIC
Sales Cycle Diagnosis

The 12 behaviors extending your cycle and the highest-leverage shift for your team.

ASSESSMENT
Sales Effectiveness & Improvement Analysis (SEIA)

The full Revenue MRI: 21 seller, 20 management, and 11 leadership competencies, benchmarked against 2M+ professionals.

AI ADVISORY
AI Revenue Strategy for Technology GTM

Where AI creates leverage across Find More, Win More, and Keep More. Platform-agnostic, diagnosis before deployment.

BENCHMARK
New CRO Sales Team Benchmark

Understand what you inherited in 90 days or less. Complimentary for newly hired revenue leaders.

ADVISORY
Revenue Performance Advisory

Ongoing embedded advisory through growth, transition, or AI adoption, built on your diagnostic findings.

FRACTIONAL
Fractional GTM Leadership

Operating leadership when execution gaps are structural, installed at critical inflection points.

Trusted by Technology and Enterprise Software Teams
GenpactCeridian DayforceAnaplanOracleUKGSalesforceCollective[i]CongaApttus

Find out why your sales cycle is longer than it should be.

Four minutes, instant results, using the methodology from AGS paid engagements.

FAQ

Frequently Asked Questions

Why are SaaS sales cycles getting longer?

Buyers are more informed and more skeptical, while most SaaS teams still run feature-led demos and single-threaded deals. The root cause is usually upstream, in discovery and in earning the buyer's commitment to change before presenting a solution.

What causes pipeline inflation in SaaS?

Deals advance on seller activity instead of buyer commitment, so pipeline looks healthy while conversion stays low. The fix is tying stage advancement to verifiable buyer milestones.

How does AGS diagnose a long SaaS sales cycle?

AGS scores your team on the 12 behaviors that determine cycle length, benchmarked against 600+ AGS diagnostics and 2M+ OMG seller evaluations. You get a custom scorecard, an insight report naming the highest-leverage shift, and a Pipeline Clarity Call with Mark Petruzzi.

How do you fix late-stage deal stalls in SaaS?

Late-stage stalls almost always trace to a qualification or alignment gap weeks earlier. Fix it upstream: confirm the buyer has committed to change before demos and proposals. AGS diagnoses where that break occurs.