Most agent builds die in audit.
DIY agents hit walls on identity. Off-the-shelf SaaS is over-fit on workflow, under-fit on audit. Hiring AI engineers is slow and risky.
Private launch list
Why Cofactor
Most agent builds die in audit. Cofactor is scoped, kill-switched, and audit-ready from day one.
DIY agents hit walls on identity. Off-the-shelf SaaS is over-fit on workflow, under-fit on audit. Hiring AI engineers is slow and risky.
Identity, policy, action log, fallback rules — built in. Bounded by an explicit engagement scope: target, rate, kill switch.
The audit dossier, the bench table, and the founding-tier pricing land with subscribers before public release.
Why join the waitlist
Subscribers get priority access to Starter, Growth, and Scale launch slots before they open to the public.
The full audit story — engagement rules, compensating controls, kill-switch behaviour — lands with the launch list first.
During onboarding, launch-list members work directly with the founding engineers — no account-manager handoff.
First-wave rates are held for the launch cohort. Renewal terms published with the service; no post-launch reprice.
Principles
A Cofactor is scoped to one workflow with a defined SLA — never general-purpose. The scope document is signed before deploy.
Identity, policy, action log, and compensating controls are built in. Audit-ready day one, not as a post-engagement retrofit.
Every Cofactor is designed to hand back to a named human owner. Kill switch and fallback path are part of the engagement, not a feature add-on.
The problem
Off-the-shelf SaaS is over-fit to one workflow, under-fit on audit. DIY agents hit walls on identity. Hiring AI engineers is slow and risky. Meanwhile the 2026 productivity gap is visible at the board level — CFOs are asking why AI hasn’t moved the needle, and the honest answer is “we have, but unevenly, without audit.”
Bench the market
The closest comparables published in 2026 — UK enterprise and scale-up buyers can sanity-check the math themselves.
| Option | Annual cost | Time to deploy | Audit-ready? |
|---|---|---|---|
| Senior AI / ML FTE (UK, in-house) | £120–180K loaded | 4–8 weeks (hiring) | Variable; post-6mo |
| UK vCISO retainer (mid-market) | £36–180K / yr | 2–4 weeks | Manual, per-engagement |
| Senior AI consultant (project) | £80–250K | 4–12 weeks | Custom, inconsistent |
| UiPath / Automation Anywhere bot | $7–15K / yr / bot | 4–8 weeks | Per-bot; weak cross-tool |
| Intercom Fin / Zendesk AI / Decagon | $0.99–$2.00 per resolution | 1–2 weeks | Per-tool; no cross-tool graph |
| Cofactor (ChangTech) | £9–24K / yr per Cofactor | 2–4 weeks | Audit-ready day 1, cross-tool graph |
Sources: Intercom Fin & Zendesk AI published pricing; Decagon & Sierra via decagon.ai; per-resolution range cross-checked at quickchat.ai; UiPath / Automation Anywhere bot pricing via vendorbenchmark.com; UK vCISO rates via cypro.co.uk; senior AI consulting rates via groovyweb.co. All sources verified 2026-08-12.
Our way
01
Identify candidate workflows. Score each on volume, complexity, audit-trail depth, regulatory exposure. Output: ranked 3-Cofactor roadmap with total cost / benefit.
02
Job description for each Cofactor. Engagement rules: target, scope, rate, kill switch. Compensating controls and human fallback path. Output: signed scope document and test plan.
03
Build, train and test in a sandbox. Live deploy under engagement rules. 90-day feedback loop and KPI dashboards. Output: a working Cofactor and a monthly operations report.
Launch tiers
Three tiers. Transparent. Renewal-only. Launch-list members lock the founding rate before public release.
£750 / month per Cofactor
Fit: one well-defined workflow with clear audit boundaries.
First-wave allocation closes when the list opens.
£1,500 / month per Cofactor
Fit: teams scaling AI headcount across more than one workflow.
First-wave allocation closes when the list opens.
Bespoke — from £2,000 / month
Fit: regulated environments with bespoke roles and SLAs.
First-wave allocation closes when the list opens.