GatedFlow is one AI portfolio operating system with four value lenses. Scale AI with confidence: fast where it's safe, controlled where it's risky, visible to everyone, and provable to anyone. Compliance is the proof that makes the other three safe to pursue, not the headline.
Move AI from pilots into production with no shadow AI and a board-ready portfolio, governed proportionately so speed is the default for low-risk work.
Every AI use case in a single register, classified by how it entered, including the vendor-added and shadow AI most inventories miss. You can't govern what you can't see.
A deterministic tiering engine fast-lanes low-risk work and reserves full review for the high-stakes. Light where it's safe, careful where it's risky.
A measured efficiency view reports forum cycle time, decision-SLA adherence and the fast-lane effect, so proportionality is shown, not asserted.
Autonomy is a first-class risk tier. Autonomous agents get enforced human sign-off and a required kill-switch before go-live. Govern the decision, pair for the runtime.
Run every AI initiative with stage-gate discipline: stage, owner, next action and status in one place, with an operating rhythm you can instrument.
Concept to design to go-live to in-life, with planned-versus-actual dates and variance. Nothing proceeds without the required approvals.
Every person lands on exactly what needs them, and per-tier decision SLAs keep work moving instead of ageing in an inbox.
Decisions and accountability on the record, with "pack-ready" kept cleanly separate from "approved."
Cycle time by gate and a re-openings signal show where the process leaks time, so you fix the stage, not the whole program.
One view of every AI bet, with the value case, the risk-adjusted return and the decisions to fund or stop, so scarce capacity goes to the work that pays.
NPV, payback and a confidence-adjusted portfolio roll-up, financial-year aware, with benefit realisation tracked estimate-versus-actual.
A desirability-feasibility-viability idea matrix flags the weak bets before they burn capacity, and stage gates double as go/no-go funding decisions.
Rank by return, balanced or flow, band the portfolio into fund/watch/reconsider, and simulate a cull before you commit to one.
In-life outcome assurance flags whether shipped AI is still working, not just launched. A "value kept working" view no register or PPM tool has.
Prove AI is under control on demand, with evidence assembled and reviewed and a record that stands up to scrutiny.
Controls mapped to obligations with live evidence and an AU / EU / US toggle, printable and exportable on demand, configured to the regimes that apply to you.
An append-only, hash-chained record with chain verification. Proof the record was not changed after the fact.
A lawful-basis HALT stops anything without a legal basis, and a use case is "cleared" only when every required forum approves.
Tuned to APRA, OAIC and the Privacy Act, with CPS 230 vendor due-diligence and GenAI-specific controls built in.
If you're scaling AI in a regulated business, we'd like to show you a 20-minute walkthrough on a worked example, in the lens that matters most to you.