Add an AI delivery layer — so capacity and depth stop being a hiring race.
02Do the work of a whole agency, as one person, without building the machine yourself.
03Punch above your size — a consumer-grade model wrapped in a real ecosystem.
04Senior-led AI capability that stands up in days, not quarters — with ownership built in.
Hire a dedicated marketer or team — AI-superpowered — from a simple starter plan upward.
02Scoped to a specific project or goal, priced to the outcome you want to hit.
03Pay for defined work, gated on a quality bar you set — flexible and lean.
Marketing automation operated as a living system — HubSpot, Salesforce, Marketo, Klaviyo, lifecycle, lead scoring, integrations, the whole MarTech stack. Built with you, owned by you. The setup is the start; the operation is the work.
Something changed. For a decade, marketing automation was a setup project: hire a partner, configure the platform, build the workflows, hand it over. Six months in, half the flows are broken, deliverability has decayed, and nobody owns the stack. AI didn't fix that — it accelerated it. The automation that compounds now is operated by senior people who own the system running — not just the system existing.
Because the agency that set it up is no longer responsible for it running. Six months in, half the flows are broken, deliverability has dropped, segmentation is stale, and nobody owns the stack. Setup-and-handover is the model the platform partners taught the market. Operated automation is what marketing functions actually need. Until eighteen months ago, the cost of operating a MarTech stack at depth meant only enterprise could afford it. AI changed the economics.
Operations was too expensive to outsource. Monitoring deliverability, fixing breaks, optimising flows, evolving lifecycle, integrating new tools, calibrating scoring against won/lost — each of these is senior work. Most agencies sold setup because setup priced cleanly; operations priced by the hour and clients balked. The stack decayed because nobody owned it.
Continuous operation becomes affordable at depth. Flow monitoring, deliverability hygiene, lifecycle evolution, integration maintenance, scoring calibration — held in one operating system, directed by senior people, with AI doing the depth work that used to require a full ops team. Built with you, directed alongside you, owned together. The stack runs because someone owns it running.
An AI ecosystem is AI configured by fundamentals, directed by senior people, and stitched into a system that holds knowledge, sequence, and preparation in place — as opposed to AI used as a standalone tool. Marketing automation is the operations surface; the layers below are what make the stack run instead of decay. Hover or tap any segment to see what lives in it.
Hover or tap any layer or segment — its details appear right on the diagram.
For a decade, marketing automation capped out at clean setup. AI changed the ceiling — above-average setup with AI-generated workflows is what every platform partner now claims. But that ceiling is commodity. The new game — automation operated as a living system, evolving with your business — is what only an AI ecosystem reaches.
We own the number you're judged on — end to end, with skin in the game. The strategy is built with you, the system is owned by you, the outcome is shared between us.
Reciprocity. A 20-year operating ethic embedded in the name: build for others as you would for yourself. It's why the work is honest.
Frameworks · 50+ industries of pattern recognition · full-stack delivery. The AI ecosystem makes senior depth scalable. Human-in-the-loop pushes it above the commodity ceiling.
Fixed-plus-variable on every engagement, a portion held against quality. Plus the 5-Day Experience — we deliver the strategy before you commit. We go first because we're confident.
Every automation partner promises a working stack. The real question is whether they can operate it — not just stand it up. Don't leave it to chance. Experience the work in five days — on your platform, your lifecycle, your integrations.
A 60-minute call. We agree your current stack, current state, and what you'd want operated. The Day 0 call is with the operator who will run the work — not a sales lead.
We produce a stack audit (what's working, what's broken, what's missing), a lifecycle architecture diagram, a lead-scoring framework calibrated to your deal shape, and a 90-day operating plan — on your real stack, not a demo.
You see the audit, the architecture, the scoring framework, the operating plan. You judge whether the depth is real. If yes, we talk about an engagement. If no, you keep the work — no charge, no obligation.
Sample Documents are anonymised client-facing deliverables — the actual artefacts a marketing automation engagement produces.
The audit a senior automation lead would deliver at week one: what's working, what's broken, what's missing, what's decaying. Tool-by-tool, flow-by-flow, integration-by-integration.
View sample →The full lifecycle map a senior lifecycle director would design: trigger points, segmentation logic, channel orchestration, conditional branches, monitoring + optimisation cadence.
View sample →The actual Day-5 artefact from a mid-market automation engagement: stack audit, lifecycle architecture, scoring framework, 90-day operating plan.
View sample →Selectivity is part of the work. Here's who a marketing automation engagement is built for — and who it isn't.
Daily monitoring of flows, deliverability, integration health. Fast fixes when something breaks. Tactical optimisation of subject lines, segmentation, scoring thresholds. The work that keeps the MarTech investment paying off month after month.
Cohort analysis, journey re-architecture, new trigger design, new channel integration, scoring recalibration against latest won/lost data. The quarterly work that turns automation from a snapshot into a living system.
A dedicated automation team operating your stack as a living system — daily operations + quarterly lifecycle evolution. The full AI ecosystem behind them. Owned alongside you.
Recurring · from a starter plan upwardA defined automation project (platform migration, lifecycle rebuild, scoring framework reset, integration overhaul) priced to the outcome. Goal-aligned economics with a portion held against quality.
Goal-pricedThe lightest engagement: discrete tasks — a flow rebuild, a deliverability audit, a scoring recalibration — priced and delivered task by task. The simplest way to co-create a first piece of work.
Per-task pricingWork-first. We deliver, then charge. A portion held against quality, every engagement.
Most marketing automation engagements end at setup — the platform is configured, workflows are built, the team hands it over. Six months later, half the flows are broken, deliverability has decayed, and nobody owns the stack. Marketing automation operated means someone is responsible for the system running — monitoring deliverability, fixing breaks, optimising flows, updating segmentation, integrating new tools, evolving the lifecycle. The setup is the start, not the deliverable.
HubSpot, Salesforce Marketing Cloud, Marketo, Klaviyo, Iterable, Customer.io, Braze, ActiveCampaign, Mailchimp, Pardot, and others. The platform is a tool; the operating discipline is the work. We'll work in the platform you're on or recommend a different one if your stack is the bottleneck.
Both. Implementation is the first phase — platform setup, data integration, workflow design, lifecycle architecture, lead scoring framework. Operations is what comes after — running the stack as a living system. Most engagements include both because implementation without operations is what produces the decay problem in the first place.
Most platform partners are certified on one platform and run a project-and-handoff model. We operate the stack as a marketing function — the platform is one tool inside a broader ecosystem that includes content, lifecycle, paid orchestration, and KPI ownership. The skill set is operator-shaped, not certification-shaped. We do work with the platforms, not for them.
Lead scoring is the framework that decides which leads get prioritised. Most lead scoring is generic demographic + engagement points. Calibrated scoring matches the score to your actual deal shape — which industries close, which company sizes have budget, which engagement patterns predict pipeline. We rebuild scoring against your won/lost history so the leads sales sees match what sales actually closes.
Yes — integrations between the marketing platform and the CRM, between marketing and product analytics, between the website and the data layer, between the lifecycle tool and the warehouse. Integration breakage is one of the most common decay vectors; operating the stack means owning the integration health, not just the platform.
Three things. AI made workflow design and content production at depth economically affordable. Server-side tracking and the cookie deprecation reshaped what automation can listen to. And the proliferation of MarTech tools (8,000+ at last count) made stack orchestration a discipline of its own. Marketing automation that ignores these is on the 2022 playbook.
Three engagement models — Build a dedicated team, Project & goal-based, Task & quality-driven. All three operate work-first with fixed-plus-variable economics — we deliver, then charge; a portion is held against quality. Specific pricing is configured per engagement and shared on the Day 0 call.
Deep, operated pages built for specific platform × deal-shape combinations.
Built TechShu over 15+ years across 50+ industries. Now operating techshu.ai — the AI-era avatar — where the AI ecosystem does the heavy lifting and senior judgement directs every output. The 5-Day Experience is run personally; the Day 0 call is the same person who will direct the automation operations if you decide to engage.
Every automation partner promises a working stack. The real question is whether they can operate it — not just stand it up. Don't leave it to chance. Experience the work. If the operated-system depth isn't real, you keep the audit and the operating plan — and we move on.