AI Solutions
An AI plan your team can run.
Our AI strategy work ends in a ranked list of use cases, a read on whether your data and systems are ready, and the first pilot, built by the team that builds the agents and automations.
LVL3's AI strategy and consulting practice assesses a business's readiness for AI, ranks the use cases by value and risk, sets governance and review rules, and trains the team. Because the same team builds custom agents and workflow automation, the plan is written to be built, and the first pilot can start inside the engagement.
Licenses bought, workshop run, nothing changed
The gap is rarely the model. It's the data nobody cleaned, the owner nobody named, and the review step nobody wrote down.
A plan written by people who never build reads well and stalls on the first integration. Ours gets written by the people who'll have to build it.
How strategy runs inside the system
Strategy is the front door to the build work, not a separate product. Every recommendation comes with what it needs: the data, the systems, the owner, and the review step.
A readiness read on your data and systems
Where your data lives, how clean it is, and what an AI tool could safely touch today.
Use cases ranked by value and risk
Every candidate scored on hours saved, revenue at stake, and what happens if it gets something wrong.
Governance before tools
What AI can do on its own, what needs a person, and what stays off limits, written down before anything ships.
How an engagement works
Four steps, ending in a pilot built and tested on real work.
Listen
Interviews with the people doing the work, from the owner to the front line.
Assess
A read on your data, your systems, and the tools you already pay for, and what each could support.
Rank and plan
A ranked roadmap, each item with its owner, what it takes to build, and its review step.
Pilot
The top use case gets built and tested on real work, so the plan proves itself before you fund the rest.
Who it's for
Owners and executives
Leaders who keep hearing about AI and want a straight answer on where it pays in their business.
Home services operators
Multi-location operators deciding where AI belongs in the call center, the office, and the field.
Consumer brand teams
Marketing and ecommerce teams deciding which AI tools to buy, build, or skip.
What you get
- AI readiness assessment
- Use-case discovery and ranking
- Governance and review policies
- A pilot build for the top use case
- Team enablement and training
Get a straight answer on where AI pays in your business.
One call, then a ranked shortlist of use cases for your team, with what each would take. You get the findings either way.