SANŌVAAPPLIED AI & ENGINEERING
Implementation / Sanōva perspective

How to choose a first AI workflow.

Make the first implementation specific enough to learn from.

A useful first workflow matters to the business, occurs often enough to evaluate, and has a clear boundary. It should give the team evidence for an expansion decision rather than leave them with an impressive demonstration and an unclear operating plan.

1. Map the work as it happens today

Follow a real request from arrival to completion. Record the systems, people, waiting periods, repeated entry, and decisions. Include the informal work that keeps the process functioning: phone calls, spreadsheets, and clarification messages.

In practice

Choose one owner who can explain both the normal path and the exceptions.

2. Establish a baseline

Use representative examples to measure elapsed time, handling effort, required information, corrections, and completion. Separate total cycle time from hands-on effort. Waiting for an external party may dominate the process even when handling becomes faster.

In practice

Define the sample period and denominators. Count all eligible requests, including difficult cases.

3. Agree the operating boundary

Document approved sources, permitted actions, required approvals, and escalation owners. Decide which system is the record of authority. Identify the data needed for the task and who may access it. Confirm integration scope before promising an automated handoff.

In practice

A healthcare support pilot needs a clear boundary between operational guidance and clinical decisions.

4. Test the paths that can break

Include incomplete inputs, repeated submissions, conflicting guidance, unavailable providers, and delayed integrations. Observe the recovery path and the human effort it requires. Evaluate the actual reviewed output rather than judging only the wording of a response.

In practice

A fallback model is useful only when its output is still validated and the workflow handles unresolved work.

5. Release in a controlled scope

Start with the agreed users, channels, and request types. Keep the owner close to the work and make exceptions visible. Review examples together so changes improve the workflow rather than merely make the demo sound better.

In practice

Define an acceptance decision before the pilot starts: expand, refine, or stop.

6. Price the operating reality

Review model and provider usage, integration maintenance, support, and the human work that remains. Evaluate the full cost per useful completed outcome. A lower inference cost can help, but it does not prove the entire workflow is economical.

In practice

Expand when evidence supports quality, adoption, operating effort, and business value together.

A useful next step

Bring a workflow, a representative example, and the person who owns the outcome. That is enough to start a practical discovery conversation.

Discuss a first workflow

What would move your business forward?

Bring us a workflow, a bottleneck, or an idea. We’ll work with you to find a practical starting point.

Let’s find the opportunity