YOUR OPTIONS, HONESTLY

Four ways to get this work done.

Every mid-market leader weighing AI-run operations is really choosing among four paths. Here's the honest comparison — including where each one, ours included, is the wrong answer.

Hire / grow the team Traditional SI or outsourcer DIY on an AI platform Kascade
Time to first result Months (hiring + ramp) Quarters (scoping + staffing) Weeks to months, if you have builders 8 weeks to a production agent
Cost model Salaries + overhead, permanent Billable hours or FTE-based contracts License + your engineers' time Fixed-fee Approach, value-linked operations
Scales by Adding people Adding people Your team's bandwidth Adding agents
Who owns the outcome You Shared, often contested You Kascade — success criteria in writing
AI expertise required from you High (you're hiring it) Low–medium High None to start; your team learns supervision
Best when The work needs permanent human judgment You need massive scale and have the budget and timeline You have a strong engineering team with spare capacity You need measurable results on a lean team, fast

When we're the wrong answer

Kascade is not the right choice when: the process is low-volume and judgment-heavy end to end (hire the person) · you're mid-way through an ERP migration that will redefine the process anyway (finish it first, or scope the Approach around it) · you want to build in-house AI capability as a strategic asset and have the engineers to do it (buy a platform; we'll cheer you on) · you need a 500-person program across 40 countries (that's the big firms' home turf, genuinely).

Still weighing it? That's the right instinct.

The Approach exists precisely so you don't have to decide on faith — two weeks, a fixed fee, and a roadmap you keep either way.