Custom AI Systems for the work beyond your close.
C-Suite's managed AI operations run your close: the document chase, the intake, the exception triage. Custom AI Systems cover the workflows that sit outside them. A multi-branch intake-and-routing surface, a vertical-specific workflow nobody else has built, an integration combination the off-the-shelf middleware cannot hold. Each runs through the same C-Suite engineering team, with the build scoped and the outcome quantified in the proposal before you commit.
Custom AI Systems sits alongside the managed AI operations. See the services overview for where it fits in the spine.
Three operating shapes most Custom AI Systems engagements take.
In discovery, C-Suite scopes every engagement against the actual operating shape of your business, and most fall inside one of three recognisable shapes the C-Suite engineering team has shipped before.
A multi-branch operation needs a single intake surface that captures every prospect or client message across web chat, WhatsApp Business, and email, routes by capacity and language, escalates against partner-defined rules per branch, and reports the volume back to head office on a cadence the principal partner can read in two minutes. The bespoke build covers the routing logic, the per-branch escalation rules, the integration into whichever practice management or CRM tool your branches already use, and the operator who keeps the rules calibrated as the operation grows.
Your operation runs a workflow that sits outside the standard managed AI operations, shaped by a vertical the team recognises from building operating systems for adjacent verticals over eight years. The bespoke build covers the vertical-specific rules, the regulatory framing, the document templates, the integrations into the tools your team already lives in, and the senior South African operator who runs the engagement against a 90-day outcome window.
A workflow depends on a tool combination nobody else has built a clean integration for, where the off-the-shelf middleware breaks at the part of the work that needs judgement instead of routing, and the cost of building it correctly the first time is lower than the cost of running on a brittle workaround for the next three years. The bespoke build covers the integration architecture, the eval suite that catches the failure modes before they hit your team, and the operator who carries the calibration work until the integration is durable.
From discovery to live operation, the build phase plus the 90-day outcome window.
Custom AI Systems run on the same operating logic as the managed AI operations, with a longer build phase scoped to the integration shape and a 90-day outcome window from first day of live operation. The phases below are the normal shape of an engagement, with the actual cadence anchored to your firm’s sign-off rhythm.
Ninety minutes on Google Meet that document how the workflow runs in your business today, name the integration boundaries, and quantify the outcome the engagement is accountable to. The result is a one-page brief signed by you, plus an early build estimate scoped on the discovery call against your firm’s actual integration shape.
Engineering work scoped against the integration architecture agreed in discovery, with weekly progress notes sent to the partner who signed the brief. The build phase covers the routing logic, the integrations, the eval suite that catches failure modes before they hit your team, and the senior operator briefed on the operating shape. Build cadence flexes against the integration depth of the workflow rather than against a published timeline.
The 90-day window opens on the first day of live operation, with the outcome the build is accountable to locked in writing in the brief signed at the end of discovery. If the engagement has not hit the agreed outcome by day 90, we keep working at no further cost until it does. A Custom AI System carries a longer outcome window than the standard managed AI operations because the integration depth deserves the time.
After the build phase ships, a monthly retainer covers the calibration work, the eval maintenance, and the senior South African operator who keeps the routing rules current as the operation grows. The retainer band gets scoped on the discovery call against the build’s actual run-rate, billed monthly in ZAR, and stays inside the same 30-day notice exit terms that govern every C-Suite engagement.
The managed AI operations against Custom AI Systems, side by side.
The discovery call covers both options before you sign anything. Final terms are set before contract signature.
| Factor | The managed AI operations | Custom AI Systems |
|---|---|---|
| What it covers | The standard month-end work: the document chase, the intake, and exception flagging, run on your existing software. | A workflow that sits outside what the standard tiers cover and needs a scoped build. |
| Outcome window | 60 days from first day of live operation. | 90 days from first day of live operation. |
| Pricing shape | Monthly retainer, scoped on the discovery call against the volume your firm runs and the integration overlap inside your business. | Build phase plus monthly retainer, scoped on the discovery call against the integration shape and operating cadence of your business. |
| Time to live operation | Discovery, integration, shadowing, live operation. Live begins when both sides sign off it is ready. | Build phase scoped to the integration depth, then the same discovery to live-operation rhythm. |
| Who runs it | A senior South African operator on retainer running the close on your stack, with your staff approving every output. | The C-Suite engineering team for the build, plus the same senior South African operator on retainer for the run-rate work. |
POPIA-aligned by default.
Client data and integration credentials stay in infrastructure hosted in South Africa. The senior operator (and the build team during the build phase) operates as a delegated user inside accounts you already own, with the right to revoke access at any time. Processing is logged per workflow, deletion on request inside seven days, audit log exportable on demand. We will show you the DPA before we show you a price.
Why a Custom AI System is worth trusting with the work.
A bespoke build sits closer to the heart of your firm than the standard managed AI operations, so the reasons it earns that place have to hold up. Here is what stands behind one.
The build is run by senior engineers who have shipped this shape of work before, in operations larger and more complex than yours. The hard calls get made correctly the first time, and the judgement that decides what NOT to build saves you the six weeks a junior team wastes on a feature that never earns its place.
The build plugs into the practice management, ledger, and document tools your firm already lives in. No rip-and-replace, no new system for your staff to learn. We work inside the accounts you already own, including the South African regulatory edges and the integration overlap that off-the-shelf tools never account for.
The system reads from your tools and never posts to your ledger. Every output waits for one of your people to approve it before anything moves. You stay in control of the work, and nothing reaches a client or a return without a partner signing it off.
Before any output reaches your team, it runs through an eval suite built to catch the failure modes specific to your workflow. The build is tested against the cases that break it, so the errors surface in our environment rather than landing on your staff during a busy close.
The outcome the build is accountable to gets named and quantified in the proposal before you commit to anything. You know what you are buying and what it has to deliver, in writing, before a contract is signed.
What you get is a workflow your firm could not run on the existing roster, delivered through bespoke engineering plus a senior operator on retainer, with the engineering team underneath holding the integrations together as the operating shape grows.