Better product prioritization
Clarify what belongs on the roadmap, what AI changes, and which product bets deserve leadership attention now.
The fundamentals of SaaS have changed.
Sharplight helps scaling SaaS and tech-enabled services leaders adapt product, operations, and execution for an AI-first market.
- Who it's forScaling SaaS and tech-enabled services leadership teams.
- What improvesProduct prioritization, operating rhythm, and GTM execution.
- Why it mattersLess friction, clearer decisions, and a more credible AI strategy.
Better product decisions, cleaner execution, and a more credible AI strategy.
More scalable operations
Reduce internal drag across systems and workflows so growth does not create more manual work, delay, or rework.
Tighter GTM handoffs
Improve alignment across sales, operations, and delivery so customer-facing teams move with fewer breakdowns.
A more credible AI strategy
Translate AI ambition into product, process, and operating-model decisions that leadership teams can actually execute.
Choose the path that matches the bottleneck.
Product Strategy
Best when your roadmap no longer reflects AI-era buyer expectations, packaging pressure, or shifting market demand.
Leave with clearer priorities, sharper product tradeoffs, and a roadmap leadership can defend.
AI Transformation
Best when AI is on the roadmap, but the company has not yet aligned product direction, operating choices, and execution priorities around it.
Leave with a more credible AI strategy, clearer sequencing, and a better operating posture for the next phase.
Change Management
Best when leadership sees the direction, but teams are misaligned, adoption is uneven, or transformation work is starting to stall.
Leave with clearer decision rights, stronger communication, and a change path people can follow.
Process Optimization
Best when friction, manual work, or system gaps across the software development lifecycle, go-to-market funnel, or quote-to-cash process are slowing execution and creating operational drag.
Leave with cleaner workflows, better throughput, and less friction across the core motions that support scale.
Leadership Team
Advisors who connect strategic direction to operational follow-through.
Sharplight pairs product and AI transformation leadership with operational systems expertise so the work does not stop at diagnosis or slide-deck strategy.
Jesse DowdleProduct and AI Strategy
Expert in product strategy, change management, and AI transformation. Jesse brings more than two decades of leadership experience across high-growth technology businesses, acquisitions, and operational reinvention.
Helps leadership teams reset product direction, clarify AI priorities, and move through market shifts without losing execution focus.
Michelle BarrettBPO and Change Management
Expert in business process optimization across software development lifecycle, go-to-market funnel, and quote-to-cash processes. Michelle helps scaling teams replace operational drag with systems that can support the next stage of growth.
Helps revenue, operations, and GTM leaders reduce workflow friction, tighten handoffs, and build systems that scale cleanly.
Trusted by scaling SaaS leaders navigating AI and operating-model change.
Operator-led perspective
Advisory shaped by leadership experience across product, operations, and organizational change in scaling technology businesses.
Cross-functional scope
Work spans roadmap choices, AI readiness, software development lifecycle design, go-to-market funnel architecture, quote-to-cash processes, and the operating model behind execution.
Commercial lens
The focus stays on sharper decisions, less operational drag, and a business model that makes sense in an AI-first market.
Benchmarks
AI is reshaping the economics of growth.
$1.13MSupernova ARR per FTE
Bessemer's 2025 AI Supernovas average about $1.13 million ARR per FTE in year one.
Source: Bessemer State of AI 2025Leadership teams are revisiting product scope, pricing, and team design because AI changes how much output a smaller organization can create.
2xFaster growth when AI is core
High Alpha's 2025 SaaS Benchmarks Report found AI-native SaaS companies grew twice as fast as peers where AI is only a supporting product feature.
Source: High Alpha 2025 SaaS Benchmarks ReportThe upside comes from redesigning the product around AI, not just layering AI features onto an existing SaaS model.
24%Faster to $100M ARR
AI companies in the Cloud 100 reached $100 million ARR in 5.7 years on average versus 7.5 years for the broader cohort.
Source: Bessemer Cloud 100 2025This is why scaling teams are pressure-testing their roadmap, GTM architecture, and operating cadence before the market does it for them.
14.5 ptsOperating margin upside
PwC estimates software could see a 14.5 percentage-point increase in operating profit margin from generative AI.
Source: PwC 2024Margin upside only becomes real when workflows, decision rights, and execution systems are redesigned to capture it.
Benchmark Review
Calculate your ROI against the benchmarks reshaping SaaS.
Enter a few operating metrics to compare your current posture with the latest AI-era benchmarks. Your inputs stay in this browser unless you choose to share them.
Resources to guide your journey
Featured perspectives on AI operating models, roadmap decisions, and the change-management work required to execute in an AI-first market.
AI Inside SaaS: What the New Benchmarks Actually Mean
The latest benchmark data points to a simple conclusion: AI creates a real performance premium when companies redesign product, pricing, workflow, and org structure around it.
Read articleAgentic AI Transformation Needs a Human Operating System
Internal agentic AI is not a tooling rollout. It is a work redesign program, and the safest path is to protect people processes, automate non-people processes, and lead the transition through The Change Cycle.
Read articleWho We're For
Built for leadership teams that need sharper decisions and cleaner execution.
Sharplight is a strong fit for scaling SaaS and technology-led service businesses where buyer expectations are shifting, AI is changing the roadmap, and internal execution is struggling to keep pace.
The work is best for founders, CEOs, product leaders, and operations or revenue leaders who need a tighter operating model before growth creates more friction.
Next Step
Choose the path that gives you the clearest next decision.
Start with a benchmark comparison if you want to quantify the gap first, or book a strategy call if the priorities are already visible and the execution path needs to tighten.