WINKLYTICS / SERVICES

Less busywork.
More useful work.

Equip your team, automate a process, or modernize the systems behind it. We start with what the work needs—not a tool looking for a problem.

01 / Equip your people

OpenAI product implementation and training

Set up ChatGPT and Codex around real work, and teach your team to use them confidently.

Your team has AI tools, but needs a practical way to use them in everyday work.

ChatGPT and Codex setup around your team’s tasks and working practices.
Hands-on training, reusable instructions, and clear review responsibilities.
For development teams: app-building workflows, agent tooling, and a repeatable path to deployment.

Start with one real task your team wants to do better—not a generic AI workshop.

02 / Fix a recurring workflow

Take a repeatable workflow off someone’s plate, with clear checks and human handoffs.

One task keeps consuming time: copying information, checking files, updating an app, or chasing an approval.

A mapped workflow with the inputs, rules, and expected result made explicit.
Automation and purpose-built agent tools that work with your existing applications.
Checks, exception handling, and a clear handoff when a person needs to decide.

For example: turn a set of customer files into a reviewed, repeatable setup workflow.

03 / Connect the operation

Connect onboarding, records, and reporting so routine operations need less manual coordination.

Several recurring processes depend on people moving information between teams, spreadsheets, and systems.

Connected workflows for customer onboarding, record updates, and recurring reporting.
Shared instructions and tools your operations team can reuse across clients and tasks.
Clear ownership, review points, and human control over sensitive actions.

Build beyond one task: keep the next team or system supplied with the information it needs.

04 / Keep the logic. Modernize the system.

Move trusted processes into Databricks, with a shared data model and checks against the original results.

Important work still relies on Excel, SAS, or mainframe processes that are hard to change or maintain.

Capture the existing business rules, expected outputs, and data from different systems.
Design a new shared data model to meet the needs of the processes and the business.
Rebuild in Databricks, compare old and new results, and support the team through the switch.

Agree the acceptance checks before handoff, so changing platforms does not mean losing trusted logic.

Show Mitchell the work that slows your team down. We’ll talk through a useful place to start.