Find Where
AI Pays Off
Discovery comes first because AI only works when it is aimed at the right work. We map how your business runs, find where AI creates the most value, and hand you a ranked plan that surfaces $340k in annual ROI on average.
AI strategy consulting that finds use cases worth building.
We study the way work moves through your business, from meetings and ride-alongs to data and system reviews. Then we find where AI fits best, what each use case is worth, and what should move forward first.
Highest Value Use Cases
We identify the workflows where AI can remove repeat work, speed up decisions, or make a team more accurate.
Where AI Fits Best
We compare each use case against what today's AI can reliably do, so the plan stays grounded in what can ship.
The ROI Behind Each Use Case
Every opportunity gets an estimate for hours saved, dollars recovered, and business impact.
The Strategy To Move Next
We turn the best opportunities into a clear sequence, from first quick win to the larger system worth building.
How Discovery Works.
This is where the Discovery work comes together. We combine operator interviews, workflow shadowing, leadership alignment, data review, and technology review into one clear plan for what to build next.
Activities
Operator-Led Discovery
Interviews grounded in 15+ years of ERP and operations experience, plus leadership alignment on what matters most.
Workflow Shadowing
Ride-alongs across your highest-leverage roles so we see how work actually moves, not how it reads on paper.
Data & Systems Review
A data assessment and technology review tied to the systems you already run, plus an AI readiness score.
Executive Readout
A live executive briefing and written AI strategy plan, with use cases built out by ROI and implementation notes.
Deliverables
Workflow And System Map
A clear map of the workflows, tools, handoffs, and data sources that shape how work gets done today.
ROI Ranked Use Cases
Each use case tagged with hours saved, dollars recovered, business impact, and the reason it should rank where it does.
AI Roadmap
A simple, ordered rollout from first quick win to flagship project, scoped to your team.
AI Readiness Assessment
An honest read on where you can move now and what needs to mature first.
Recent Discover Work.
Structured Copilot enablement for ~2,500 service staff across two license tiers
How we brought structured Copilot training to roughly 2,500 service staff across two license tiers, then layered discovery, a power-user cohort, and train-the-trainer to make it stick.
Copilot discovery and summit enablement for 500+ insurance producers
How we shadowed four IMA producers, turned their real workflows into live demos, and got a room full of producers asking to start.
Building an AI strategy and driving AI adoption across an organization can feel overwhelming, especially if AI isn't your strong suit. Working with the Wyecliff team made the process much easier to navigate and a lot more approachable. Drew and Ben specifically met us where we were, giving us valuable training and coaching along the way.”
Questions Teams Ask Us.
The questions operators actually ask before a first engagement, answered straight. If yours is not on the list, we will cover it on the call.
- Why do Discovery before building?
- Discovery keeps the build pointed at the right work. We look at the workflows, data, systems, and business value first, so you do not spend money on a tool that solves the wrong problem.
- What happens during Discovery?
- We interview leaders and operators, review systems and data, shadow key workflows, and score the best AI use cases by value, feasibility, and readiness.
- Who should be involved?
- Usually a business owner, one or two leaders close to the problem, and the people who do the work every day. IT or data leaders should join when systems, permissions, or integrations matter.
- Do we need clean data before starting?
- No. Part of Discovery is finding where the data is, how reliable it is, and what needs to improve before AI can use it safely.
- What do we get at the end?
- You get a clear map of the workflows and systems, a ranked list of AI use cases, an AI readiness assessment, and a practical roadmap for what to do next.
- What if the best answer is not to build custom software?
- Then we say that. If an existing tool, process change, or data cleanup step is the better next move, we make that recommendation instead of forcing a custom build.
Guides and services that go deeper.
Tell us your biggest problem.
We'll show you the ROI.
Drop the problem in the box. A Wyecliff partner replies inside one business day with two ideas you can ship in 30 days. No pitch deck, no sales call required.