Solution — Enterprise AI

Ten pilots later, nothing changed how the company runs.

DayNova operates as your embedded AI function, mapping strategy to your operating model, building the automations inside your stack, and growing the capability of your teams.

See where your organization actually stands with the free AI Gap Report

Solution — Enterprise AI

Ten pilots later, nothing changed how the company runs.

DayNova operates as your embedded AI function, mapping strategy to your operating model, building the automations inside your stack, and growing the capability of your teams.

See where your organization actually stands with the free AI Gap Report

Schedule a free AI consult

The Problem

Your AI portfolio is a collection of pilots nobody scaled.

The issue for most enterprises isn't resources; it's coordination. Our enterprise AI transformation approach ensures that you see AI ROI through working team-by-team to understand how AI can support the business and focus on the most impactful opportunities first,

Think of us as your outsourced fractional Head of AI and
forward-deployed engineering team.

AI models have been great since 2025. Enterprises still cannot convert them into operating capability, because AI strategy, builds, and adoption require human transformation, not just tech.

what’s included

One accountable partner across strategy, build, and adoption.

This is not a platform license, and it is not a center of excellence you staff yourself. DayNova operates as your embedded AI function. We map the strategy to your operating model, build the automations inside your existing stack, and grow your team’s ability to run and extend them.

MIT reported in 2025 that roughly 95 percent of enterprise generative AI pilots produced no measurable P&L impact, with the failure concentrated in workflow fit and organizational adoption rather than model quality. Scale was never a modeling problem.

Schedule a free AI consult

Our team got a ton out of the time spent with Travis. He looked at our business strategy, process, resourcing, and planned initiatives through an objective, expert lens. We walked away with countless learnings about the AI landscape, applications to our business, and a clear roadmap for how to move quickly, but intentionally, in the ever-changing space of AI.

— Jess, Sr. Director @ Large Outdoor Retailer

COMPANIES WE'VE WORKED WITH

Microsoft

LEGO

Tracksmith

Ridge

Capital One

Aspen Snowmass

Production-grade AI automations built within the 1st quarter

what is inside an enterprise engagement

Six workstreams. Each one makes everything else work better.

Every enterprise engagement is scoped to your operating model, tool stack, security posture, and team structure. The six workstreams below are the standard shape.

Workstream

What it is

AI Portfolio Audit

A full inventory of the AI work already running across your business units, including the shadow automations nobody sanctioned. Each initiative is scored on business value, risk, and whether anyone would notice if it stopped tomorrow. Duplicated effort gets consolidated and orphaned tools get retired. You start with a defensible picture instead of forty anecdotes.

Operating Model Map

A written map of where AI touches your real workflows, where cognitive load runs highest, and where resistance will surface before you spend a dollar building. Built from stakeholder interviews and observed process across functions, not a survey. Names the decisions your people make under pressure and who owns them. You build the three things that matter instead of thirty.

Governance & Decision Rights

The standards for how AI gets used, who approves what, where a human stays in the loop, and what data never leaves your perimeter. Written to satisfy legal, security, and audit without stopping the work. Tool-agnostic by design, so a vendor change does not reset your capability. This is what lets business units move without a review board bottleneck.

Automation Build

The working automations, built inside your stack with your data and your approval paths. DayNova builds directly or coaches your internal engineers, depending on the resources you already have. Every build is pressure-tested against the exceptions your ops teams have been absorbing for years. What ships is something your people can run without a vendor on the call.

Embedded Coaching

Training built around the live system instead of a generic curriculum, delivered function by function. Teams practice running the automations with DayNova alongside them, then keep extending them through ongoing coaching. Sessions are paced around how habits form, not around a content calendar. Adoption holds past 90 days because the new behavior became the familiar one.

Measurement & Reporting

The quarterly read on capability, adoption, and time recovered, tied back to the baseline from the audit. Reported in language your board and your CFO already use. Names what is working, what stalled, and where the next build should go. You stop defending the AI budget and start allocating it.

engagement structure

An enterprise engagement built in 16 weeks. Refined through partnership.

Narrow

Weeks 1–4

Audit the AI work already running, map where cognitive load is highest, and name the resistance before prescribing a build.

Orchestrate

Weeks 4–7

Align leaders and business units on shared frameworks, decision rights, and governance designed around how people think under pressure.

Validate

Weeks 7–14

Design and build the automations alongside your teams, so the people who will run them help shape them.

Amplify

Weeks 14–16

Hand the running systems to your teams with coaching already in place, then keep growing that capability on a quarterly cadence.

Built for leaders who want to become ai-native

Right fit. Wrong fit.

Best fit if you’re:

Not the right fit if you want:

Running multiple business units where AI effort is duplicated and nobody owns the total picture.

A platform license that every business unit is told to adopt by Friday.

Carrying an AI mandate from the board with pilots to show and no operating capability.

A center of excellence that produces frameworks and never ships a workflow.

Holding real security and compliance constraints that generic platform rollouts keep ignoring.

A systems integrator that builds the automations and hands your teams a login.

Willing to give your teams real time inside the build, because that is where capability forms.

A proof of concept with no plan for governance or maintenance.

Schedule a free AI consult

TEAM

Built by operators, backed by neuroscience.

Founder & CEO

Travis Tallent

Travis Tallent spent 15 years operating inside the organizations most companies benchmark against, including Microsoft, LEGO, adidas, Capital One, and Aspen Snowmass. He ran the operations AI is supposed to change.

Founding Advisor

Dr. Nicole Gravagna, PhD

Dr. Nicole Gravagna, PhD, neuroscientist, data engineer, and product manager. She's built 6 products from scratch and knows the technical know-how to build custom AI solutions for you.

Technical Team

We are supported by a technical team of forward-deployed engineers, specializing in software development, AI/ML engineers, and data engineers.

From the blog

Latest thinking

Jul 7, 2026

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By: Travis Tallent CEO & Founder of DayNova AI

Forget the AI Mandate. Create an AI Vision.

Read article