In two years of consulting across lean startups and SMBs, one idea has reshaped how I think about performance: transforming time-to-value. It’s not about chasing speed – it’s about targeting the moments where effort turns into impact faster and more deliberately than before.
With AI and generative technology maturing, tasks that once took weeks can now be completed in hours. But here’s the truth: time-to-value transformation isn’t about speed for speed’s sake. It’s about focusing human and technological resources on the highest-leverage activities possible.
From Efficiency to Leverage
Many organizations start their AI transformation by chasing efficiency gains – faster campaigns, quicker reports, automated workflows and operations. These matter, but they miss the strategic depth of what’s truly possible.
Transforming time-to-value is about rethinking where human expertise creates the most impact and where technology can eliminate wasted effort entirely. Using lean principles, this means cutting anything that doesn’t create measurable value – ineffective campaigns, duplicated processes, redundant manual steps that should have been systemized long ago.
Three Levels of Unlocking Time
Over the past two years I have started looking at unlocking time in three areas:
1. Organization: How is your information structured? Do teams share a unified knowledge base – or waste hours searching drives and chats for critical documents?
2. Optimization: If a task repeats, templatize and systematize it. Ten hours spent building an automation that saves two hours per week pays for itself in five weeks – and compounds every week after. Across clients, I’ve seen AI assistants trained on custom knowledge bases save hundreds of collective hours. That initial setup becomes a permanent efficiency multiplier.
3. Automation: This is where today’s technology compounds value. Automated email campaigns or AI-driven lead generation can deliver step changes in customer experience and marketing performance. Automation doesn’t just save time, it creates future time.
As Rory Vaden puts it: “Automation is to your time what compounding interest is to your money.”
The TRI Model: How Value is Created
Time-to-value transformation starts with understanding how time is actually spent to create a valued outcome. It’s the intersection of three things:
Tasks: The actual work that needs to be done – writing emails, building software, automations and websites, creating content, etc.
Resources: People, tools, software, systems, and processes – your team, your CRM, the LLMs you use, etc.
Information: Knowledge and data that fuels execution – market and customer insights, domain expertise, organizational knowledge.
Technology has come a long way in democratizing the ability to perform certain tasks and resource accessibility. Anyone can now launch a campaign, build a site, or automate operations. The new competitive advantage comes from one place: how well you structure and deploy your proprietary information.
Information: Your Only Sustainable Moat
Three types of information drive transformation:
1. Organizational Information – Knowledge about products, services, and internal processes, often stuck in email threads or individual heads. Documenting and codifying it becomes the foundation for AI-assisted execution.
2. Domain Expertise – Information embedded in team-level frameworks and individual-level pattern recognition refined through experience. When codified into templates and playbooks, this expertise gives AI tools the context it needs to perform with precision.
3. Market and Customer Intelligence – Living, continuously updated insights about customer behaviors and market shifts. When systematically maintained, each new campaign or sprint builds on the last, with nothing lost in translation.
Speed vs. Strategic Leverage
Time-to-value isn’t about going faster—it’s about directing effort toward the biggest commercial and operational returns. Every optimization should either:
– Increase top-line revenue,
– Improve bottom-line profitability, or
– Strengthen strategic positioning.
That’s the real litmus test for transformation – and the safeguard against chasing technology implementations that are not anchored to strategy.
The goal isn’t to get better at tools. It’s to get better at creating value.
Your Action Plan
1. Start with an Information Audit: What knowledge, customer insight, or expertise lives only in people’s heads, in email threads or on shared and personal drives? Extract and codify it in a way that it can be repurposed and reused.
2. Identify High-Frequency Tasks: What consumes hours weekly and could be templatized or automated with less than a month’s ROI?
3. Think in Domains, Not Silos: Map entire value streams – acquisition to retention – and redesign them with AI capabilities in mind.
4. Build for Compounding: Each optimization should make the next one easier and incrementally more valuable.
Closing Thought
McKinsey notes that the window between AI as a competitive advantage and AI as a competitive necessity is shrinking fast. The urgency is real.
Your edge won’t come from which tools you adopt – but from the proprietary information you codify, structure, and deploy through them.
If you can systemize the routine, you free your people to focus on what only humans can do: judgment, creativity, and connection.
Time-to-value isn’t about being faster. It’s about being smarter with your finite time. The organizations that master that shift will lead the next decade.
The time to build it is now.
Ready to transform your time-to-value? This could unlock your next growth phase. Let’s talk about how to make it happen.