Air-Gapped Call Transcription and Coaching AI

Air-gapped call transcription AI records, transcribes, scores and coaches every sales and service call entirely inside the firm's own perimeter, so the raw audio and the transcript never leave the building and never transit a third-party cloud. It gives revenue leaders the deal intelligence that cloud platforms promise, without the customer conversation, the pricing, and the pipeline ever becoming someone else's data to host, breach or train on.

For a regulated business, that distinction is the whole game. A sales call into a private bank, an insurer, a law firm or a defence prime is not small talk. It contains client identities, financial positions, special-category personal data, draft commercial terms and competitive strategy. Pushing that audio to a cloud revenue-intelligence vendor turns every call into a cross-border transfer and a third-party processing event. Mickai removes that path.

Why cloud revenue intelligence fails the regulated buyer

The established cloud tools, Gong and Chorus among them, are genuinely capable. They are also architecturally incompatible with a firm that has a fiduciary data duty. The model is simple and unforgiving: your call audio is uploaded, transcribed and analysed on infrastructure the vendor owns, in a region the vendor chooses, under terms the vendor can revise.

That creates three exposures a compliance officer cannot wave away:

• Every recorded conversation is processed by an external party, which is third-party processing under the UK General Data Protection Regulation (UK GDPR) and a contract review every single time.
• The audio leaves the jurisdiction, which reintroduces the cross-border transfer question that Schrems II made expensive.
• The transcripts, the most concentrated record of your commercial intent that exists anywhere, sit in a multi-tenant estate that is a standing target for exfiltration.

A signed Data Processing Agreement does not close any of these. It allocates liability after the fact. It does not stop an infrastructure breach, a vendor outage, or interception in transit. The data has already left the building.

“The Exfiltration Vulnerability Vector is the pipeline itself. You do not make a leak safe by signing a longer contract about who pays for it. You make it safe by never sending the call out in the first place.”

The Mickai answer: Compute-to-Data for every conversation

Mickai inverts the model. Instead of sending the data to the intelligence, the intelligence runs where the data already lives. The Mickai Sovereign Intelligence Operating System (SIOS) installs on hardware the firm owns and operates, behind its own firewall. The Voice studio captures and transcribes the call locally. The Press studio turns the transcript into a coached, structured summary: objections raised, commitments made, next steps, risk flags, talk-time ratios and deal-stage signals.

None of it touches the internet. The audio is captured locally, the transcription model is a Mickai sovereign brain running on local compute, and the analysis is written back to a local store. What happens in the server room stays in the server room. Data residency holds because the data has no route out.

This is Locally Contained Inference applied to the highest-signal data a sales organisation owns. The marginal cost of analysing one more call is the electricity to run it, not a per-minute cloud invoice that scales with your success.

What the firm actually gets

The capability set matches what revenue teams expect from cloud tools, delivered air-gapped:

• Accurate local transcription with speaker separation, retained in the firm's own sovereign vector store.
• Automated call scoring against the firm's own methodology, not a vendor's generic rubric.
• Coaching insight for managers: where deals stall, which objections recur, which behaviours correlate with closure.
• Searchable conversation history that connects to the wider knowledge base without any record leaving the perimeter.

CapEx, not a meter that punishes success

There is a commercial dimension that revenue leaders feel quickly. Cloud revenue-intelligence is priced by seat and often by minute, so the better your team performs and the more it sells, the larger the bill grows. The intelligence becomes a tax on activity. The sovereign model breaks that link entirely.

Mickai runs on local compute the firm owns, which turns a volatile per-minute operating cost into a predictable, depreciable capital asset. Once the hardware is in place, the marginal cost of transcribing and coaching one more call is the electricity to run it. A high-volume desk can analyse every call rather than a sampled few, because there is no cloud invoice scaling against the volume. Predictable infrastructure asset depreciation replaces an unpredictable line item, which is a conversation the chief financial officer welcomes as much as the chief revenue officer.

Deployment without a forklift

A sovereign deployment does not mean a year of integration. The SIOS installs on reference hardware sized to the firm's call volume, sits behind the existing firewall, and connects to the telephony or conferencing the firm already runs. In its hardened configurations the network path can be closed entirely, so the deployment is air-gapped at the level of the operating system, not merely promised in a contract. Captured audio, the transcription brain and the coaching analysis all live on that owned hardware, and the firm's administrators govern retention, access and consent through controls they hold rather than a vendor's console.

Because the model and the data are the firm's own asset, the deployment is stable across the things that disrupt cloud services: a vendor changing terms, an outage, a re-pricing, an acquisition by a competitor. The intelligence runs independent of cloud outages because the firm owns the compute. The capability does not move when the market does.

What makes Mickai different

Plenty of vendors will sell a self-hosted box. Few can stand behind it the way Mickai can, and the difference is structural, not cosmetic.

**The Open Audit Record.** Every material action the SIOS takes is written to a tamper-evident, cryptographically signed audit record. When a regulator, an internal auditor or a client asks what the system did with a given call, the answer is an inspectable record, not a vendor's word. Governance becomes an engineering property of the platform, not a policy stapled on afterwards.

**101 filed UK patent applications.** Mickai is built on a substantial and defensible intellectual-property position: 101 filed United Kingdom patent applications covering the sovereign architecture, the audit primitive and the underlying mechanisms. That is a genuine moat, and a real expertise and trust signal, not a marketing claim.

**Hardware-bound identity.** The deployment is tied to the firm's own hardware. The model snapshot, the weights and the data are the customer's asset, immune to vendor policy drift and to terms of service changing under them.

**Built and owned, not rented.** The firm owns the compute, the model and the intelligence it produces. There is no metered dependency on an outside party that can change pricing, change jurisdiction, or be acquired by a competitor.

Micky Irons, founder, chief executive and named inventor, built the platform on a single conviction: the institutions with the most valuable conversations were the ones structurally barred from cloud AI, and the fix is not a better promise but a better architecture.

Where this lands first

The immediate buyers are the sectors where a recorded conversation carries acute liability. Private banking and wealth management, where every call references client wealth. Insurance and underwriting, where claims calls carry special-category data. Corporate law, where a call can touch privileged matter. Defence and aerospace, where commercial discussions sit inside a controlled perimeter. In each, the cloud option is a legal non-starter and the air-gapped option is the only way to get the intelligence at all.

This removes the cross-border transfer and third-party processing path for call data. It does not remove the firm's own obligations: the customer still governs retention, consent and access internally. Mickai gives the firm the place to do that properly, on infrastructure it controls.

Request a private demonstration

If you are a chief operating officer, chief information officer, chief information security officer, chief financial officer or general counsel evaluating how to give your revenue teams real conversation intelligence without surrendering the conversation, request a private demonstration. We will show you transcription, scoring and coaching running fully air-gapped on reference hardware, with the Open Audit Record proving exactly what the system did and where the data stayed.