Salesforce customers suffer from asymmetrical information in terms of the firms, contractors and even employees they seek to hire. They don't really have any good way of determining whether they've chosen the right people and whether those people are doing a good job. I'm here to level that playing field.
I'm creating an environment where the gap in information is narrowed and they can achieve productive work together on what the client truly needs.
Contractors alone
Bridging the gap
With your judgment in the room
Hiring resources that may not have the experience or competency to take on their project but may initially appear as if they do.
Technical scoring for RFP submissions
Competently created and delivered work that delivers on the expected requirements.
Work, produced with AI or without, that passes the initial smell test but is fundamentally rotten: bugs, data corruption, technical debt, unmaintainable code.
Observability tools on the progress and quality of the work
Work you're not afraid to change as you scale or onboard/offboard products and services.
The meter running with no real relationship to the value of the work being produced.
Incentives are aligned through the RFP, the observability metrics and the controls that enforce standards. It makes it harder, if not impossible, for them to ship junk, which forces them to design properly so they can ship, and then you're benefiting from that proper code.
Predictable costs where increases are driven by additional identified functionality, not devs spinning wheels.
Inconsistent or missing coding standards and practices as a source of technical debt.
Evidence driven
Contractor/firm onboarding
Code that any resource from any team, now or in the future, can pick up and reason about due to its internal consistency and adherence to best practices and clean design.
AI tooling lets firms write code faster and cheaper, but not necessarily pass all those savings onto the client, while the client is inherently absorbing all of the risk of AI.
Primarily the CI and coding standards ones
Protecting the client from absorbing all the risk of AI.