The Problem
AI strategy needs to be tied to your operating model.
You bought the tools. You ran the trainings. Leadership still asks the same question. What did we actually get for it?
The honest answer is that most companies have no way to measure AI capability. They track license counts and usage logs (aka tokenmaxxing). Neither tells you whether your team makes better decisions with AI in hand. The ROI gap isn’t a tech problem. It’s a behavior problem, and behavior was never measured.
When strategy is disconnected from operations, no one knows what to build. And what doesn't get built doesn't yield ROI.
what's included
A baseline, a direction, and an AI plan you can actually execute.
AI Strategy is how DayNova scopes the build. We map your organization across four maturity dimensions, identify where AI will yield the most—not just where it is being tried—and produce a sequenced roadmap with owners and metrics attached.
Every component is custom to your operating model. Nothing is pulled from a template.
Eight steps. One clear direction.
Each component is designed to surface a specific decision your leadership team needs to make before committing to a build. Nothing is modular or stripped out for budget. Every engagement includes all eight.
Steps
What it is
Discovery
A high-velocity diagnostic that compresses weeks of leadership debate into hours of alignment. We pinpoint where cognitive load is highest and headcount is misaligned, ensuring you never waste a single sprint building the wrong solution.
Safety & Compliance AI Audit
Stop guessing at your liability. We map your current AI usage against regulatory exposure and internal policy to categorize what is safe to scale, what needs guardrails, and what is a ticking time bomb. Move fast without the fear of rebuilding after an incident.
AI Maturity Assessment
A cold, hard look at your current capabilities. Using the NOVA Framework, we score your team across capability, workflow, decision rights, and measurement. You get a precise benchmark of where you are today versus where AI-mature organizations dominate.
Operational Audit
AI won't fix a broken process; it will only accelerate the failure. We stress-test your existing workflows and data architecture to identify which systems are ready for automation and which require a cleanup before AI touches them.
AI Product Roadmap
A 12-month execution plan that doesn't require our supervision. We sequence your people, tools, and dependencies into quarterly milestones with named owners and hard metrics. This is a working blueprint, not a shelf-bound presentation.
Gamification Layer
Eliminate the friction of "extra work." We apply behavioral science to build internal incentives that make AI the path of least resistance. Your team won't just use AI because they're told to; they'll use it because it's designed to be a win.
AI Library
No generic prompts. We deliver a curated, role-indexed library of prompts and workflows built specifically for your tech stack and language. Your team starts Day 1 with tools that solve their actual problems immediately.
AI Success Framework
Replace anecdotes with ROI. We establish the KPIs and reporting cadence leadership needs to defend AI investment in a budget review. If you can't measure the impact, you can't protect the capability. This framework ensures you do both.
engagement structure
Most agencies hand you a system. We train your team to run one.
And provide measurement that proves it.
— Built for leaders who want capability, not slideware.
Right fit. Wrong fit.
Best fit if you’re:
Not the right fit if you want:
A CMO, COO, or C-suite leader at a company with $10M+ in revenue looking for a credible starting point for AI adoption.
A vendor to do AI for you while your team watches from the sidelines.
Past the pilot stage and frustrated that disconnected AI experiments aren’t compounding into anything measurable.
A list of tool recommendations without the operating model and decision rights to run them.
Willing to commit internal time and access. This is a working engagement, not a vendor briefing.
A dive-and-done project with no accountability to what happens in month four.
Looking to build internal AI capability long-term, not outsource it indefinitely.
PROOF
Built by operators, backed by neuroscience.
Travis Tallent spent 15 years inside the organizations most companies benchmark against — Microsoft, LEGO, adidas, Capital One, and Aspen Snowmass. Dr. Nicole Gravagna, PhD, neuroscientist and Founding Advisor, built the decision-science the Index runs on. No agency can claim this pairing.
Operator
Travis Tallent
Fifteen years running the operations AI is supposed to change — not studying them from the outside.
Product Manager & Neuroscientist
Dr. Nicole Gravagna, PhD
Neuroscientist and Founding Advisor. Built the decision-science the Index runs on, grounded in how people behave under pressure.
DayNova has upleveled our team's AI capability tremendously!
— Jerry, Director, Lockheed Martin
Operators trained inside
Microsoft
LEGO
adidas
Capital One
Aspen Snowmass
+70%
Average AI improvement score within two quarters.
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