AI Strategy & Transformation · AI Transformation Consulting
AI Transformation Consulting
Most AI programs stall in the handoffs between strategy, build and training. DayNova maps AI strategy to your operating model, builds the automations around your stack and embeds the capability in your team, inside one engagement.
Production-grade AI automations built within the first quarter
Built on Dr. Nicole Gravagna’s decision-science research
Experience with Microsoft, LEGO, Capital One and Aspen Snowmass
Free · Takes 7 minutes
Take the free AI Gap Report
See where your organization actually stands on AI before we ever meet.
Your AI capability baseline
Where AI effort is being wasted
The first priorities for your build
Companies we’ve worked with
Microsoft
GitHub
LEGO
adidas
Capital One
5280 Plastic Surgery
The problem
Your AI program has a roadmap and no working system.
AI adoption fails because business is messy. Data sits in spreadsheets, knowledge lives in people’s heads, and nobody owns the process.
Your AI program today
Without DayNova
Strategy firm
Roadmap delivered
✕ Handoff gap, nobody owns it
Dev shop
Builds nobody runs
✕ Handoff gap, nobody owns it
Training vendor
Workshop forgotten
Working system
Missing
With DayNova
One engagement, one team
Live in 12 weeks
Why AI transformation stalls
Three vendors, three handoffs
A strategy firm, a dev shop and a training vendor, with nobody owning the gaps.
Built around the tool
Platforms get installed before anyone maps how the work actually runs.
Training that fades
Workshops inspire for 30 days and revert by 90, because nothing was built.
DayNova fixes this by running strategy, build and training as one engagement, so nothing falls between vendors. For the change management side, see why enterprise AI adoption fails and the five steps that fix it.
The NOVA Framework
Our AI adoption framework, built on neuroscience.
NOVA is DayNova’s own AI adoption framework, built with neuroscientist Dr. Nicole Gravagna around how people change under pressure. Each phase sets up the next, so adoption holds past 90 days.
N · Narrow
Weeks 1–3: Map where AI works, where it doesn’t, and where resistance will surface.
O · Orchestrate
Weeks 3–5: Align the team on decision rights and playbooks built for how people work.
V · Validate
Weeks 5–10: Build the automations alongside the people who will run them.
A · Amplify
Weeks 10–12: Hand over the running system with coaching already in place.
What you get
A working AI system, not another maturity assessment.
Six workstreams, scoped to your operating model, tool stack and team. Everything we build is yours on day one.
Six workstreams, each one making the next work better.
Operating Model Map
Where AI touches your real workflows, where load runs highest and which three things to build first.
AI Capability Diagnostic
A scored baseline of what your team can actually do with AI, ready to report to your board.
Automation Build
Working automations inside your stack, built by DayNova or alongside your engineers.
Playbooks & Decision Rights
Written standards for how AI gets used, who approves what and where humans stay in the loop.
AI Change Management
Coaching around the live system, paced to how habits form, so adoption holds past 90 days.
Measurement & Reporting
A quarterly read on capability, adoption and time recovered, in your board’s language.
Proof
Results our clients can measure.
+70%
Average AI capability improvement score within two quarters
#1
Strategy behind Microsoft’s 2025 Semrush #1 AI Visibility Award
5.0
Average rating across verified client reviews on Clutch
Right fit, wrong fit
Best fit if you’re:
A $10M+ company that has tried AI and hit a wall
Carrying a board AI mandate with no working system
Holding a strategy roadmap nobody could build
Willing to give your team real time inside the build
Not the right fit if you want:
A slide deck with nothing running behind it
A dev shop that hands your team a login
A one-day workshop that changes nothing
A platform license sold as a strategy
Frequently asked questions
What is AI transformation consulting?
How is this different from a McKinsey or BCG AI engagement?
Do you advise, or do you build?
What if we already have engineering resources?
How much of my team’s time does this require?
How is an engagement priced?
Start your AI transformation today.
Take the free 7-minute AI Gap Report, or contact us to scope your first build.
