AI automation for SMBs
AI Automation for Small Business
Pick one workflow before buying tools. This guide shows how to score candidates, budget a first build, and keep order, support, and CRM automations under human control.
June 15, 202611 min
📊
Pipedrive
🚢
ShipStation
📧
Klaviyo
🪝
Webhooks
AI revenue automation
for sales, marketing, analytics & ops
We connect your CRM, sales pipeline, ad accounts, email tools, and revenue data into speed-to-lead workflows, KPI dashboards, lifecycle automation, and anomaly alerts.
60 sec
qualified lead response
24/7
revenue leak alerts
1 source
pipeline, spend & revenue
How We Work
Intro call, audit, pilot, then scale
Start with a short fit check, map the workflow if needed, prove one automation on real data, then expand into reporting, bidding, email, creative, and revenue automation.
TriggerRequest
StartYou submit a request on our website or message us directly.
Intro Call30 minutes
Free
30-minute intro call
Your workflow and goal in plain English
Whether there is a fit for automation
Next step: audit, pilot, or no build
Audit1 week · optional
$500
Up to two workflows mapped
1-2 stakeholder calls
Impact / effort matrix of opportunities
ROI and build cost per recommendation
No implementation included
Pilot1–2 weeks
from$2,900
One automation workflow built end-to-end
Runs on your real data
Baseline captured, results measured
Dashboard, alert, or automation proof
Growth System4–8 weeks
from$7,500
3–5 connected automations, end to end
Complex channel logic and edge cases
Monitoring, alerts, and reporting
30 days of post-launch support
Success
Stop at any stage — you only pay for work that delivers real value.
View pricingCalculate your savings
ROI Calculator
See what manual work is really costing you — and how fast automation pays for itself
Your numbers
10 people
150
2 hrs/day
18
$50/hr
10100
Salary + payroll taxes + overhead
$40,000
2,000200,000
One-time investment
$2,000/mo
015,000
Results
Monthly savings$17,800$213,600/yr
First-year ROI434%
Payback period3 mo
Hours freed up396 hrs/mo
Excellent numbers — this pays for itself in just 3 months.
Still have questions?
Frequently Asked Questions
Answers to common questions about AI automation for sales, marketing, and analytics — dashboards, reporting, and working with us
Every engagement starts with a free 30-minute intro call. If you want the full map before committing, a $500 Revenue Operations Audit covers up to two workflows across sales, marketing, and analytics and ranks opportunities by ROI - and the fee is credited to your pilot. From there, we build a working pilot on your actual data in 1-2 weeks, so you can see real automation running before committing to a full rollout. Full implementation timelines depend on how many processes and integrations are involved.
Pricing is project-based and scoped to your specific processes - there's no flat rate. Automation pilots start from $2,900 and growth systems from $7,500. Every engagement begins with a free intro call, and if you opt for the $500 Revenue Operations Audit, that fee is credited toward your pilot - so you'll have a clear estimate before committing to anything.
We connect the systems you already run: CRM and sales tools, ad platforms, programmatic advertising systems, email platforms, analytics warehouses, payment processors, accounting tools, internal databases, and spreadsheets. If you're running something custom, we integrate through its API — every automation is custom-built for your stack, not forced into a template.
Yes. We build KPI dashboards, marketing dashboards, cross-channel ad reporting, media buying dashboards, and revenue analytics views that connect spend, leads, pipeline, revenue, ROAS, LTV/CAC, and unit economics. The goal is not another static report — it is a dashboard your team can use to make daily budget and campaign decisions.
Yes. We build ad account monitoring, ad spend alerts, anomaly detection, and real-time revenue monitoring around your actual thresholds. For example: spend spikes, tracking gaps, sudden ROAS drops, missing conversions, stalled campaigns, or revenue changes that need a human review.
Yes. We sign an NDA before any work begins, and access is granted on a least-privilege basis — we only get access to what a specific integration needs, nothing more. We define the access scope with you upfront, before we touch anything.
We set up monitoring and alerts so issues are caught before they affect your customers. Ongoing support is part of the engagement, with an agreed response time so you're never left guessing.
We're upfront that automation isn't the right fit for everyone. It's probably not for you if:
— You don't have revenue yet
— Your processes are undefined or constantly shifting, with no interest in mapping them first
— Your budget doesn't yet support a real pilot
— You're looking for a fix that requires no involvement at all from your team
Automation is an investment. If it's not going to pay for itself in a reasonable timeframe, we'd rather tell you that upfront than take your money.
— You don't have revenue yet
— Your processes are undefined or constantly shifting, with no interest in mapping them first
— Your budget doesn't yet support a real pilot
— You're looking for a fix that requires no involvement at all from your team
Automation is an investment. If it's not going to pay for itself in a reasonable timeframe, we'd rather tell you that upfront than take your money.
No. We build automation around the systems you already use — we don't ask you to rip out your CRM or switch platforms. The goal is to make your existing stack work together, not replace it.
Minimal. During the audit, we typically need a few hours of your team's time to walk through current processes and confirm access. Once the pilot is running, your involvement is mostly reviewing results and giving feedback.
A description of your current process (a conversation is enough — no formal documentation required) and access to the relevant systems for integration. We agree on the access scope before starting, and sign an NDA and contract upfront.
Not always. Where AI doesn't add measurable value, we use straightforward automation — integrations, queues, routing rules. We bring in AI models when there's a clear economic case for it, such as processing unstructured text or classifying incoming requests.
Resources
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