AI routing engine
Right product posture
Surface SaaS, consulting, audit, or enterprise lanes from real signals — under explicit matrices your team owns.
Autonomous Revenue Engine · consulting SKU
Autonomous Revenue Engine
Your system learns what earns — and does more of it*
AI routing and real-time optimisation built as infrastructure — not one-off experiments. Offer exposure, measurement, allocation, audit.
*Within routing policy and published commercial catalog — allocation shifts between allowed SKUs and paths, not covert price mutation.
Stripe-ready billing
Real-time decision engine
GDPR-aware architecture
Execution-layer stack
Problem
Your funnel doesn't optimise. It guesses.
- Static ladders leak margin when intent and geography don't match one ladder.
- Classic A/B is too slow relative to acquisition noise and lifecycle variance.
- Same offer for every segment is a symptom — no decision layer wired to Stripe truth.
- No joined-up events → finance can't reconstruct what drove revenue.
Solution
We build systems that decide what earns
Instead of restarting manual tests each quarter, infrastructure tracks what users were shown, ties outcomes to payment events, then reallocates exposure within your rules — continuously, observably.
Architecture
How it works
What ships
Modular SoW — buy the spine first, harden into full autonomous loop.
Adaptive offer system
No static table in prod
Allocation moves between predefined Stripe SKUs and ladder steps as performance and policy allow — not ad-hoc price edits. Same transparency posture as your public offer manifest.
Funnel engineering
Decision flows, not page dumps
We wire paths that skip, branch, and recover — where clarity increases close rate without breaking compliance narrative.
Multi-variant optimisation
Bandit, not one-off A/B
Traffic shifts toward arms that pay back inside exploration budgets; weak arms decay automatically.
Revenue control dashboard
From impression to money
Operators see what was shown, what converted, and which decisions moved revenue — suitable for internal review and investor-grade narrative when you need it.
What changes after implementation
| Before | After |
|---|---|
| Static funnel | Adaptive exposure & paths |
| Guesswork on offers | Measured allocation across catalog SKUs |
| Manual test cycles | Continuous bandit + policy updates |
| Unknown revenue drivers | Event-ledger joined visibility |
Engagement
Indicative brackets — final scope in SoW after stack review.
Built as infrastructure, not marketing chrome
- ▸Cloudflare Workers — edge execution, KV-backed state patterns where appropriate.
- ▸Stripe-native — Checkout lines map to declared prices; webhooks reconcile access.
- ▸Event-first decisions — payloads designed for replay and stakeholder explanation.
- ▸Audit posture — consent-aware collection; kill switches paired with control-plane patterns.
Routing memorandum Live product narrative Billing orchestration
We don't run disposable experiments.
We build systems that learn what works — within policy — and enforce it.