AI/ML Adoption Consulting
We run working sessions with your leadership and department heads, collect and size every candidate, and rank them by return and feasibility, so you fund the few that pay back.
Who it is for
Leadership teams with many AI ideas and no agreed way to choose between them.
The situation
Every department has an AI idea, vendors pitch more, and nobody has compared them on cost, return and risk.
If you go ahead
This engagement covers the first stages of the plan below. You decide whether to continue once you have the deliverables.
We watch the manual process end to end and measure how often it runs, how long it takes and where it goes wrong.
Automating a process that should have been removed instead.
We rank every automation candidate by return and feasibility so you fund the ones that pay back first.
Spending on automations with no measurable return.
We define triggers, knowledge sources, confidence thresholds and the points where a human must approve.
An agent taking an action in front of a customer that nobody approved.
We build the connectors, load your documents and policies into the knowledge base and integrate with the systems it acts on.
Rate limits and expired credentials breaking the flow.
The automation runs alongside your team on real work without taking any external action, so we can compare its decisions with theirs.
Real-world inputs the test set did not cover.
The automation goes live with a human approving low-confidence cases and monitoring switched on.
Silent failures going unnoticed.
We tune thresholds as volume grows and move to the next item on the opportunity map.
Accuracy drifting as your business changes.
No. Every idea is sized against your own volumes and costs, and the output is a ranked list with business cases.
Other ways to start
