Herselman & Agents.
An agentic AI practice run by two brothers. We design, build, and operate AI agents for enterprises that intend to own them — agents that earn their wages, hammer your edge, and refund your hours. Every system carries both our names; every system ships to the client — source, runtime, prompts, and keys.
A Herselman Brothers system.
Marks of a Herselman Brothers system.
Rev. 04.26
Status: Definitive
The signature lives in the work, not on the contract.
Each part defends itself. Each part is load-bearing. What isn't there was refused.
The system serves its purpose: your growth, your margin, your edge — and your time.
A name on the door.
Rev. 04.26
Status: Active
AI is moving at the speed of light. The vendor decision you make today starts aging the moment you make it. There has never been a time in commercial history when the wrong stack was so easy to land on by accident.
Within a few years, AUM — Agents Under Management — will be a primary value engine of every business that competes seriously. These are your digital employees. They sit on your data, handle your customers, execute your workflows, carry your operational memory. They also have a mind — the software that decides what they do, the prompts that shape how they reason, the runtime that remembers what they've done. Owning that mind is what owning your AUM actually means.
Most agentic AI is sold from behind two layers of opacity. Above, a firm name with no signature on the work — when the vendor pivots, your platform dies. Below, the agent's mind — its orchestration, its prompts, its runtime — is a black box: code you don't own, decision logic you can't audit, memory you can't move. You are not buying a digital employee. You are renting access to one whose mind belongs to the landlord.
Herselman & Agents is the opposite bet on both counts. We sign the work — the principals design the system, lead the build, and stay accountable to the engagement. You own the system — we built our delivery stack, Roark, after years of shipping agents on runtimes that weren't ours and watching what that costs. The version you commission is the same stack we trust ourselves with: yours to operate, audit, fork, or fire. Source, runtime, database, prompts, traces, keys — the software your agents are made of, the data they remember in, and everything they've ever done. The architecture we design is the architecture we run, and the architecture you keep.
AUM is hiring, not procurement. Their mind has to be yours. The work has to pay.
Selected agents, in the field.
Production engagements
in the middle. Pilots
delivered at the foot.
Engagement, on terms.
Status: Selective
Mechanism: revealed in qualified conversation
Two formations, one practice.
Fred Herselman
Architects of record
Both brothers, both signing
Two brothers came to agentic AI by different routes. The practice runs on both kinds of training because the work asks for both.
Ivan. Law before architecture — LLB Pretoria, admitted advocate, then seven years drawing enterprise systems for Capitec, Foschini, Hyundai, and Coca-Cola Peninsula. Multi-cloud Salesforce programmes at R45M+, designs held at architect review. The discipline of an answerable argument — every component is something you would defend in front of a tribunal.
Fred. Operations before data — SABMiller logistics, then $30M in pricing optimisation and APAC's first IoT-enabled supply-chain analytics at Anheuser-Busch InBev, then Group Head of Data at DuluxGroup, then GM Enterprise Data, Decisioning & AI at PEXA Group. The discipline of an operator — a system's worth is what it does on a Wednesday morning, when a real number on a real P&L moves.
Together. The two arcs converge in ClerkiQ — the bank-statement-extraction agent the brothers built and scaled to 2,500 accountants in nine months, the first system the practice signed. Roark, the delivery stack, is built around what each formation learned to demand: production-grade traceability that an operator will trust, drawn through an architecture an architect will defend.
number of engagements each
year. Clients and the practice
qualify each other — neither
benefits from a bad fit.
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