The business case for income protection, in about a minute
Enter your inputs. We show what control of the chain, self-service and agentic AI deliver, with open assumptions. Everything calculates in your own browser.
Which line are we calculating?
Your inputs
Every field comes back as a number in your result. Nothing hidden.
Your inputs stay in your own browser. Nothing goes to DCSolutions; we do not see or store anything you enter here.
What do you switch on?
Three layers. Each layer builds on the previous one, and agentic only really works when the data underneath is right.
Indicative: handler time responds mainly to layers 1 and 3, chain traffic and clarity for the customer to layer 2, cycle time to all three. The figures are in step 3.
Your result
Estimated annual value in a range from low to high, split per bucket.
We do not prefill example figures. An ROI on somebody else’s numbers is not an ROI.
Where the value sits
Per bucket: who feels it, and whether it counts in the total above. The bar shows which layer does the work.
The claim journey
Value over three years
Year 1 counts for 70 per cent (implementation and adoption). After that the value grows with your volume, the marginal cost does not.
How we calculate
All percentages are model assumptions, not a measurement of your operation. Slide them to what you believe; everything recalculates live.
These are your figures, not yet your claims
In a one-hour strategy session we put this model next to your real cycle times, cost schedules and chain partners. Then you know whether the bottom of the range is already within reach.
Indicative estimate based on your input and the assumptions above. Not a quote. The effect percentages are model assumptions and must be substantiated with your own or market data before use with prospects.