Proof is a byproduct of execution.
Every run writes structured history, so reconstructing evidence of what was decided, and on what basis, happens automatically.
Evident is an integrated delivery of software, AI, and services, priced on outcomes rather than licenses or hours. No one of the three is the product. The fusion is, and outcome pricing is the proof the fusion is real, because only the party that owns all three can guarantee the cost falls.
Evident is a system of work: the software is the control tower that detects change, maps it to obligations, holds the evidence, and shows the basis for every decision. The AI runs the work as agentic tasks. Accenture is the trusted hand that carries the liability and supplies the human approval layer that agentic systems still need.
A software vendor cannot guarantee your admin cost falls, because it does not run your admin. A consultancy cannot price the outcome, because its margin is the hours. Evident can, because Evident is all three.
Something shifts: a CVE lands in a critical vendor's stack, a posture moves, a regulation updates, a certificate expires, a questionnaire arrives. Evident maps the change to the obligations it touches, the right agentic task runs as a scoped child run, and the output is proof. The loop is scoped to the change, so a reassessment touches the affected control surface, not the whole ritual. The proof is not reconstructed later for the auditor. It is produced by the work itself, as the work runs.
The Trust Graph is the canonical store of suppliers, controls, obligations, evidence, exceptions, and decisions. Every framework requirement, customer questionnaire, and insurer question maps to a control answered once, with typed, versioned, freshness-dated evidence. A full SIG alone is 1,936 questions;5 answered once on the graph, the control behind each answer is reused on the next form, the next framework, the next carrier. Evidence reuse rate is the spine's owned number, and the mechanism behind the fifty percent.
Every run writes structured history, so reconstructing evidence of what was decided, and on what basis, happens automatically.
Every human correction feeds a learning loop that raises automation over the term, which under outcome pricing is margin while the savings claim stays provable.
Human judgment is routed to a named approver and ledgered, with residual judgment routed to Accenture, where the liability lives.
The design cannot be retrofitted onto a tool stack that started as a place to store files. It requires a runtime where the work itself is the first-class artifact. The partners are how the work gets absorbed and stood behind.
The client outcome sits at the top, carried by the whole stack.