DriftFunnels for Enterprise
Your organisation does not have an AI problem. It has an authority problem: nobody can say what the machine would be allowed to do, what it actually did, or whether the objective moved. DriftFunnels answers those three before it does anything.
You are not short of software. You have a CRM, a service desk, a data platform, a communications stack, an identity provider, a SIEM, and somewhere between four and forty automation tools bought by different departments in different years. Each one works. None of them knows what the organisation is trying to accomplish this quarter.
Somebody has been asked to produce an AI strategy. What arrived instead was a pilot that impressed a steering committee and then could not be given access to anything real, because nobody could write down what it would be permitted to do or how anyone would know what it had done.
Meanwhile the work that actually costs money is still moving through queues, handoffs and approvals that nobody has measured end to end. The individual steps are fast. The distance between a request and a finished result is not.
A model being capable of an action is not permission to perform it, and until permission is representable in your systems, capability cannot be deployed.
Every serious AI proposal inside a large organisation dies at the same place. Not at the demo, and not at the budget: at the moment somebody asks who authorised this, what it was allowed to touch, what it actually did, and how we would reconstruct that in six months if a regulator asks.
Those are not obstacles to automation. They are the specification for it. DriftFunnels binds execution to identity, delegation, purpose, policy, tenant, data boundary, budget, environment, approval state and tool authority — so the answer to "what is it allowed to do" is a thing the system enforces rather than a paragraph in a slide.
And because the work leaves evidence as it happens rather than being reconstructed afterwards, the compliance question stops being a project that runs before an audit and becomes a property of the operation.
Time between a request arriving and a result being verified — measured by end-to-end flow time, split into work time, wait time, blocked time, approval time and rework.
The share of that time that is waiting rather than working — measured by flow efficiency, per objective, with the tail and not only the average.
Work reaching a person only when a person is genuinely required — measured by escalation rate, and what fraction of escalations were policy-required versus capability gaps.
Evidence available at the moment it is asked for — measured by receipts present on consequential actions, and how long a reconstruction takes.
What a failed attempt costs you — measured by result-settled billing — a result we fail to complete is restored, not invoiced.
a headline percentage. We have not run your process, so any number here would be somebody else’s. The first bounded scope produces your baseline, and the comparison after it is the number worth quoting.
The premise of a rip-and-replace is that your existing investments are the problem. They usually are not. The problem is that none of them is accountable for the objective, so the coordination lives in people’s heads and in meetings.
DriftFunnels connects to the systems that already hold your operational truth and works across them. Identity comes from your identity provider. Evidence can stream to your SIEM. Records stay where your teams already look for them.
Where an integration does not exist yet, that is a stated gap and a scoped piece of work — not a silent assumption that you will export a CSV.
The fastest way to lose this audience is a badge wall. So every assurance line we publish carries its actual status — held, in progress, operating, applicability-gated, or designed for — and the legend is on the page so you can check us without asking.
Some of what follows is architecture rather than attestation. We say which is which, because a reviewer who finds one overstated line stops believing the rest, and they would be right to.
A large purchase dies in security review, legal review, privacy review, accessibility review, vendor-risk review or procurement far more often than it dies in the product evaluation. Those reviewers are not obstacles to the deal; they are the deal.
So the enterprise surface is designed around them rather than assembled in a panic after the demo went well. Ask for the part you care about and we will send what applies — and say plainly where something is designed-for rather than attested.
One queue, one workflow, one department or one measurable operational failure — bounded enough to control, important enough that moving it matters.
We do not need your organisation on day one, and asking for it would be the wrong answer to the risk you are actually carrying. A first scope should be small enough that a security team can reason about the whole blast radius and real enough that the result changes somebody’s week.
The first deployment can run in observation mode: it watches, maps the flow, and shows you where the time actually goes, without authority to act. Several organisations should stop there for a while. What that costs you is a baseline, which you needed anyway.
If the bounded scope works, expand because the evidence earned it. If it does not, you learned that before granting the system any more authority — which is a better outcome than an enterprise-wide rollout justified by a demo.
Usually because the pilot was evaluated on output quality and then failed on authority — nobody could write down what it would be allowed to touch in production. That is the first thing established here rather than the last, which is also why the first scope is deliberately small enough to grant real permissions to.
They should not, on the usual terms. Ask them to attack the tenant boundary and the authority model rather than review a diagram, and ask us for the evidence for the specific control they care about. If a control is implemented but not independently attested, we will tell you that rather than let the questionnaire imply otherwise.
Correct, and the architecture treats the model as replaceable rather than foundational. Objectives, authority, workflows, history, evidence, receipts and business state belong to the operating system, not to whichever model is currently best. You can bring your own key, run local inference, or use deterministic paths where a model adds nothing.
Governed business state, workflows, history, evidence, receipts, configuration and audit records are designed to export, and the architecture includes reconstitution testing so an export is not a pile of vendor-specific files. Ask for the exit procedure before the first contract — that is when it is worth most to you and costs us most to fake.
It is shorter because it is annotated. Most vendor lists mix held certifications with architectural intentions and let the reader assume. Ours marks each one, and nothing is marked held. If a specific attestation is a hard gate for your deployment, tell us which and we will tell you exactly where it stands rather than where we hope it will be.