Watch: How eCommerce brands eliminate 50-300 hours/month of manual work
3 minYour ops team is copying data between Shopify, your CRM, and Google Sheets. Your leads sit untouched for hours. Your fulfillment coordination runs on Slack messages and memory. We replace that manual glue work with AI systems — and eliminate 50-300 hours/month of it.
The 15-minute call determines fit. If there's a clear opportunity, we schedule a full AI Operations Diagnostic — and you walk away with a complete roadmap whether we work together or not.
We'll ask about your tech stack (Shopify? HubSpot? GoHighLevel?), your team size, and where manual work is eating time. In 15 minutes, we'll know if there's a clear opportunity — or if it's not the right fit.
Order fulfillment coordination in ShipStation. Lead qualification from your ad forms. Customer support tickets in Gorgias or Zendesk. Reporting you're building manually in Google Sheets. We find all of it.
Not "AI might help here" — concrete numbers. "Your team spends 160 hours/month on order status updates. AI reduces that to 12 hours. That's $4,800/month in recovered labor."
Bottleneck map. Ranked opportunity list. ROI projections per workflow. Implementation timeline. You keep this regardless of whether we work together.
If no clear ROI exists, we'll tell you on the 15-minute call — and save you both the time.
We work with eCommerce brands, DTC companies, home services businesses, and professional services firms between $5M-$20M in revenue.
This is an infrastructure install — not AI experimentation.
Here's one real workflow transformation from day one.
A lead submits your Facebook ad form. Someone on your team checks the notification, opens HubSpot, manually creates a contact, looks them up on LinkedIn, decides if they're qualified, writes a personalized email in Gmail, and creates a follow-up task in Asana.
At 40 leads/day, that's a full-time $55K/year salary spent on data entry.
AI instantly qualifies the lead based on your criteria, enriches with company data, drafts a personalized follow-up in your brand voice, creates the HubSpot record with all fields populated, and routes hot leads to the right rep via Slack — in under 2 minutes, 24/7.
Same 40 leads/day now take 60 minutes total instead of 8 hours. That $55K salary goes to growth work.
That's one workflow. Most clients have 5-7 like this — order fulfillment in ShipStation, support tickets in Gorgias, email flows in Klaviyo, reporting in Google Sheets. We automate all of it inside tools you already use.
Most businesses don't fail at this stage. They stall.
Not because the market
disappears — because complexity starts eating margin.
AI fixes these structural leaks by turning manual throughput into infrastructure-powered throughput.
Translation: scale without adding layers of headcount and coordination overhead.We map every manual workflow — Shopify order coordination, HubSpot lead routing, Gorgias ticket handling, Klaviyo flow management, weekly reporting — and rank the 3-7 highest-ROI automations.
Real example: A DTC brand's ops team was spending 160 hours/month copying order data between Shopify and ShipStation. That single automation saved them $4,200/month in labor — and it was built in 2 weeks.
We build AI agents that live inside your Shopify admin, your HubSpot workflows, your Slack channels, and your Gorgias queue. No new platform. No logins. No "check the AI tool."
Real example: AI that reads every Meta Ads lead form submission, enriches with company data, scores against your ICP, drafts a personalized email in your brand voice, and pings the right rep in Slack — all in under 90 seconds, 24/7.
We don't hand off a system and disappear. Your team gets live training, Loom walkthroughs, playbooks for every workflow, and 90 days of performance tracking with weekly check-ins.
Real example: One client's customer service team went from "I don't trust the AI" to resolving 60% of Gorgias tickets with AI-drafted responses in under 3 weeks — because we trained them hands-on, not with a PDF.
If you've scaled a company past $5M, you've felt the moment when growth stops feeling exciting and starts feeling heavy. More customers should mean more profit — but instead it means more hires, more coordination, and more things breaking.
Steven Ellis has been inside that problem for over a decade. As an eCommerce operator, he founded and scaled multiple DTC brands across supplements, lifestyle goods, and consumer products. As a growth strategist, he managed and influenced over $100M in Meta advertising spend — building creative testing flywheels, scaling paid acquisition, and optimizing funnels across dozens of brands.
Through Scale With Steven, he coached hundreds of eCommerce founders on product-market fit, offer design, and sustainable growth systems. As an embedded strategic partner, he's worked inside businesses on everything from offer architecture to backend scaling strategy.
Across every brand and business, he kept seeing the same pattern: the companies that scaled cleanly weren't working harder. They were installing better infrastructure.
That realization led to Agentive. Today, Steven applies the same operational intensity — the same "inside the business" approach — to installing AI as infrastructure. Not as experiments. Not as tools. As the systems layer that lets growth-stage businesses compound without collapsing.
Steven's background in creative storytelling (including Hollywood development) means Agentive builds systems that are human-centered, narrative-driven, and designed for real adoption — not just technical correctness.
Outcomes vary by business. Here's what we typically see in the first 90 days.
Typical early wins: 50-300 hours/month of manual work eliminated in the first implementation phase.
Results from real engagements with eCommerce brands and service businesses.
“Our 4-person ops team was spending half their day copying order data between Shopify, ShipStation, and a shared Google Sheet we called 'the tracker.' Steven's team built automations that sync everything in real-time. We redeployed two team members to CX — and revenue per customer went up 22% in 90 days because someone was finally focused on retention instead of data entry.”
“We spend $65K/month on Google Ads for home service leads. But our team took 4-6 hours to follow up — by then, the homeowner already booked a competitor. Agentive built AI qualification inside HubSpot that responds in under 2 minutes, 24/7, with a personalized email and text. Close rate went from 12% to 19%. The system paid for itself the first week.”
“I was budgeting $280K for a VP of Ops and two coordinators. Steven walked through our Shopify, Klaviyo, and Gorgias workflows and showed me that 70% of what they'd do was manual data movement that AI handles better. We hired one person instead, built the AI systems in 8 weeks, and actually got more output than the original 3-person plan.”
Results represent typical outcomes. Individual results vary by business complexity and current operational maturity.
A deep-dive case study showing recurring patterns across $5M-$15M eCommerce and service businesses.
Across dozens of growth-stage companies, the same ceiling appeared: every new dollar required another hire, another manager, and another layer of complexity.
The root cause wasn't effort or talent. It was manual throughput trapped between systems — glue work, fragmented workflows, and delayed decisions.
Infrastructure your business keeps — not rented consulting hours.
Most initial systems go live in 30-90 days depending on scope.
We audit your Shopify, CRM, support, and ops workflows. You get a ranked list of automations with ROI projections for each.
AI agents deployed into HubSpot, Gorgias, Klaviyo, Slack, and your ops tools. First systems live within 2-3 weeks.
Live Zoom training for your team. Loom walkthroughs for every workflow. Playbooks in Notion or your wiki. We don't leave until it's SOP.
Weekly performance reviews. System tuning as your business evolves. New automations added as we identify more opportunities.
Every engagement is designed using frameworks from Steven's direct experience scaling businesses. Most diagnostics are personally led by Steven to ensure strategic alignment with your specific operations.
That's actually most of our clients. ChatGPT can't see your Shopify orders. Zapier breaks when your workflows change. VAs don't scale. We build AI agents trained on your product catalog, your brand voice, your SOPs — integrated directly into HubSpot, Gorgias, Klaviyo, and Slack. The difference between ChatGPT and AI infrastructure is the difference between a gym membership and a personal trainer.
A freelancer builds one Zapier integration and disappears. A developer doesn't understand your CAC, LTV, or why your fulfillment process breaks at 200 orders/day. We've worked inside hundreds of eCommerce and service businesses — we know which automations actually move the needle and which ones waste money. Plus we stay for ongoing optimization.
They won't use new platforms. That's why we don't build new platforms. The AI lives inside Slack, inside Gorgias, inside their email, inside the CRM they already open 50 times a day. We do live Zoom training, record Loom walkthroughs, and build Notion playbooks. Adoption isn't optional — we don't leave until it's standard operating procedure.
Engagements range from $15,000-$50,000 depending on scope, scoped after the diagnostic. For context: if we eliminate 150 hours/month of manual work at $30/hour loaded labor cost, that's $54,000/year in recovered capacity. Most clients see full ROI within 30-60 days. This isn't a consulting retainer — it's infrastructure you own permanently.
If we don't identify clear, measurable ROI during the diagnostic, we won't recommend implementation. You keep the roadmap either way.
If we do recommend implementation and it doesn't produce positive ROI within 30 days, we unwind the engagement.
This is for founders and leadership teams who:
Note: If you're under $5M or don't yet have repeatable workflows, the timing isn't right for AI infrastructure. We'll tell you on the call — no hard feelings.
We'll review your tech stack, your biggest manual bottlenecks, and whether AI infrastructure makes financial sense for your business. If it doesn't, we'll tell you in the first 5 minutes and save you the time.
Want proof first? Read the case study →