Start with one recurring workflow, a measurable baseline, and a person responsible for the result. Test a small integration with approved data before expanding it across the company.
Start with a task, not a tool
Ask where your team repeatedly reads, summarizes, classifies, searches, or drafts. Write down how often the task happens, who does it, and what a good result looks like. “Help support find the right policy” is a more usable brief than “add AI to support.”
Choose a task with enough volume to learn from and a safe review path. Avoid starting with decisions that could materially affect someone’s health, finances, employment, or access to a service.
Check whether AI is needed
A form, a database query, or a rules-based automation may solve the problem more simply. Use AI when interpreting language, searching varied material, or producing a draft adds value. Keep predictable calculations and business rules deterministic.
Make a short inventory of the tools involved, their APIs, who owns the data, and what permissions the integration will need. Include licensing and model usage in the scope.
Request a callDesign a pilot with a baseline
Collect representative examples, including difficult and incomplete inputs. Record the current handling time and the rate of work that needs correction. Decide what level of improvement would justify a rollout.
A useful pilot includes the user interface, the data connection, the model step, and the review process. A convincing demo is only one part of that workflow.
Connect the smallest useful data set
Use approved data and give the integration only the access it needs. For company knowledge search, preserve source permissions and show where an answer came from. Decide how content updates and deletions will reach the system.
Map what is sent to each vendor, what is retained, and who can view logs. Do this before adding sensitive material.
Evaluate failure and recovery
Test wrong answers, missing sources, slow responses, unavailable services, and repeated submissions. Give users a useful next action when the system cannot complete the task.
For actions such as sending email or changing customer records, decide which require approval. Log enough to investigate failures without collecting unnecessary personal data.
Roll out with an owner
Name the person responsible for quality, access changes, costs, and support. Start with a small group and compare results against the baseline. Expand only when the evidence supports it.
Your next step can be a workflow review with Redko. Describe the task below and we can discuss whether integration, automation, or custom development makes sense.
Explore AI integration services or more Redko guides.