Pricing That Reflects
the Value You Get Back.
Every engagement is scoped around your specific outcomes — not a feature list. You know exactly what you're getting, what it costs, and what to expect in return before you commit to anything.
Three Entry Points.
One Engineering Standard.
Whether you're deploying your first workflow or rebuilding your entire operations layer, the quality of architecture, security, and delivery is identical across all three.
Perfect for teams launching their first AI-powered workflows.
Advanced automation infrastructure for scaling operations.
Custom AI operating systems built for complex organisations.
Any project can continue as a retainer: 24/7 monitoring, failure response, monthly optimisation sprints, and system expansion as your business scales. Month-to-month. Cancel anytime.
First workflow live within 48 hours of kickoff. Full project delivered within the agreed timeline or we extend the engagement at no additional cost — no exceptions, no excuses.
Every Engagement.
Every Time. No Exceptions.
Regardless of which package you choose, certain standards never change. These aren't upsells — they're the baseline of how we work.
You own 100% of every workflow, script, and configuration file. Full source access on day one. No vendor lock-in, ever.
AES-256 encryption, TLS 1.3, role-based access controls, and secrets management — every deployment, every time.
Every execution logged with timestamp, inputs, decisions, and outputs. Immutable, searchable, and compliance-ready.
Every workflow delivered with a screen-recorded walkthrough so your team understands exactly what was built and how to manage it.
All pipelines QA-tested before launch — including edge cases, error injection, and retry/fallback logic. Nothing ships fragile.
Complete written documentation: data flows, decision logic, integration specs, error-handling maps, and admin runbooks.
| Feature | Starter from $5K | Growth $10K–25K | Enterprise Custom |
|---|---|---|---|
| AI workflows deployed | 1–2 | 3–8 | Unlimited |
| LLM decision nodes | ✓ | ✓ | ✓ |
| Multi-workflow orchestration | — | ✓ | ✓ |
| Churn / risk scoring models | — | ✓ | ✓ |
| Observability dashboard | Basic | Full | Enterprise |
| Monthly optimisation sprints | — | ✓ | ✓ |
| Custom API / legacy system integration | — | Available | ✓ |
| SOC 2 / HIPAA / GDPR compliance | Base | ✓ | Full |
| Dedicated engineering pod | — | — | ✓ |
| On-prem / private cloud deployment | — | — | ✓ |
Median ROI range across clients in each tier · 90-day post-launch window
Time recovered:
Every hour of manual work automated returns immediate savings. Median: 18 hours/week per team.Revenue accelerated:
Faster lead response, trial activation, and expansion triggers directly impact ARR. Typical: +15–34% conversion improvement.Churn prevented:
Predictive risk detection intervenes 28 days before cancellation. Average 87% intervention success rate across clients.Hiring avoided:
The cost of one ops hire ($60–90k/yr) typically funds a full Growth Systems engagement plus 12 months of retainer.
Every Pricing Question Answered.
The questions clients ask before committing — answered plainly, without marketing spin.
Get a Custom QuoteBuilding AI Internally Is Slower
Than You Think
Your buyers aren't asking "Should we use AI?" anymore. They're asking "Who should build it?" Here's why specialized implementation partners consistently outperform internal hires for automation work.
Hiring Internally
The Moern Way
Start with the Call.
We'll Tell You Which Fits.
Most clients don't know which package they need until after the strategy call. We'll review your operations, map your priorities, and recommend the right starting point — with a written scope and price before you commit.
4.9/5 · 40+ companies worldwide
You have one clear process you want automated, a defined set of tools, and want to prove the ROI before committing to a larger system.
→ from $5KYou have multiple manual processes, tools that don't talk to each other, a CS/RevOps team that needs automation across their entire workflow.
→ $10K–25KYou need compliance-grade infrastructure, multi-department rollout, legacy system integrations, dedicated engineering support, or on-prem deployment.
→ Custom scopeStill unsure? The strategy call covers exactly this. We'll give you a clear recommendation and a written scope before anything else happens.