Revenue response system
Lead source, fit, history, offer, urgency, and next step get modeled before follow-up enters the approval queue.
7-day operating plan first
Get the AI operating plan your business can actually run.
Turn scattered follow-up, SEO, lifecycle, reporting, and operations work into an approval-first AI operator queue. Kinetic maps the business first, sends a practical 7-day plan, then turns the plan into controlled execution lanes.
48hstarter plan
$299entry pod
0new dashboards to babysit
24/7persistent sessions
what it takes off your plate
Not another AI dashboard. A business-specific operating system.
Most small teams do not need more software. They need the hidden operating layer: source-of-truth mapping, decision rules, approval queues, memory, and measurable execution.
Demand intelligence layer
Keyword data, SERP shape, competitor coverage, conversion intent, and internal proof become a prioritized content roadmap.
Lifecycle operating logic
Onboarding, nurture, winback, education, and retention flows are built from segments, triggers, objections, and risk rules.
Executive operating memo
Analytics, sales movement, rankings, campaigns, approvals, and blocked decisions roll up into one weekly control surface.
operator lanes
One operating model, multiple controlled agents.
The output should feel clean. The system underneath is not: every lane needs a vertical map, connector contract, memory policy, approval boundary, and measurement loop.
Sales orchestration
Lead scoring, source context, account research, follow-up policy, proposal drafting, CRM hygiene, and stalled-deal recovery.
Growth architecture
Offer logic, landing-page experiments, campaign briefs, lifecycle drafts, funnel analysis, and conversion-path cleanup.
Search intelligence
DataForSEO scans, GSC movement, competitor deltas, intent mapping, content briefs, internal-link plans, and refresh queues.
Operating memory
SOP extraction, handoff design, approval rules, task routing, decision logs, repeatable checklists, and process automation.
Customer operations
Inbox triage, support summaries, FAQ updates, review requests, churn signals, customer education, and escalation routing.
Executive rhythm
Weekly priorities, bottleneck notes, KPI movement, next actions, experiment backlog, and founder-level decision support.
vertical maps
Each pod starts with the business model, not a generic automation menu.
Before agents act, we define the vertical ontology: customer journey, source systems, revenue events, language rules, compliance risk, approval levels, and the first measurable operating outcome.
Ecommerce + DTC
shopify optionalFor brands where product pages, lifecycle, reviews, support, and search demand all affect revenue.
Source systems
Shopify, Stripe, Klaviyo or Brevo, GSC, GA4, support inbox, reviews.
First automations
Product-page SEO briefs, abandoned-cart or lead-nurture drafts, FAQ refreshes, weekly revenue memo.
First KPI
More qualified sessions turning into checkout, inquiry, repeat purchase, or email engagement.
Clinics + med spas
local demandFor appointment businesses where response speed, trust, reviews, education, and rebooking matter.
Source systems
Booking calendar, CRM, Google Business Profile, inbox, call notes, website analytics.
First automations
Inquiry follow-up drafts, local SEO page map, review request queue, post-visit education emails.
Approval risks
Medical claims, pricing promises, treatment advice, and anything patient-specific stay human-approved.
Agencies + studios
delivery opsFor service teams where the founder sells, manages clients, writes strategy, and still has to chase next steps.
Source systems
CRM, Gmail, Slack, Notion or Drive, proposals, client dashboards, calendar.
First automations
Proposal drafts, client recap memos, reporting summaries, follow-up sequences, SOP cleanup.
First KPI
Fewer dropped opportunities and fewer founder-owned coordination tasks per week.
B2B services + industrial
pipeline memoryFor relationship-heavy businesses where quotes, documents, suppliers, buyers, and follow-ups get scattered.
Source systems
HubSpot or Pipedrive, inbox, spreadsheets, Drive, quote templates, supplier docs.
First automations
Account research, quote follow-up drafts, document checklists, meeting notes, next-action tracking.
Approval risks
Pricing, legal language, client commitments, and procurement terms stay approval-first.
SaaS + apps
activation loopFor software products where onboarding, education, feedback, content, and churn signals need one operating loop.
Source systems
Stripe, product analytics, support tickets, docs, GSC, lifecycle email, CRM.
First automations
Activation emails, help-doc briefs, churn-risk summaries, feature education, keyword-led content.
First KPI
More users reaching the activation moment before they churn or go quiet.
Local services
speed to leadFor high-intent local categories where calls, forms, reviews, estimates, and service-area pages drive growth.
Source systems
Website forms, call tracking, GBP, calendar, CRM, reviews, service-area pages.
First automations
Lead response drafts, estimate follow-up, local keyword map, review replies, missed-call summaries.
First KPI
Faster response time and more booked estimates from existing demand.
how it works
We map the business before we automate it.
That is the difference between a prompt and an operating layer. The first deliverable is a working model of how the business creates demand, serves customers, makes decisions, and safely delegates work.
01
Build the vertical operating map.
We capture the business model, customer journey, tools, bottleneck, risk boundaries, and the first job worth automating.
02
Define connector contracts.
Each system gets a purpose: CRM for pipeline state, Stripe for revenue, Brevo for lifecycle, GSC/DataForSEO for demand, Drive or Notion for memory.
03
Queue work with evidence.
The pod drafts, cites the source context, shows the decision path, and waits for approval before anything customer-facing ships.
04
Turn approvals into policy.
Approved work becomes reusable memory. Edits become constraints. Autonomy expands only after the same pattern is proven repeatedly.
proof patterns
Built from real operator work across different businesses.
Kinetic is deliberately wide-net: ecommerce, service businesses, clinics, B2B, apps, and niche brands. The operating layer changes. The coordination problem repeats.
Missed inquiries became a response queue.
Starting problem: calls and forms arrived in different places. Kinetic output: source-aware follow-up drafts, booking prompts, review requests, and a response-time KPI.
Scattered product knowledge became a demand queue.
Starting problem: product proof, search demand, FAQs, and support objections were disconnected. Kinetic output: SEO briefs, lifecycle angles, FAQ refreshes, and a conversion-content KPI.
Founder follow-up became a weekly pipeline memo.
Starting problem: sales, delivery, and client next steps lived in the founder's head. Kinetic output: proposal follow-up, recap memos, reporting summaries, and a dropped-opportunity KPI.
These patterns are the first operating outcomes we optimize for: faster response, clearer demand queues, cleaner lifecycle logic, and fewer founder-owned coordination loops.
pricing
Start small. Prove the lane. Expand the pod.
No seat math. No giant implementation. Start with a contained lane and grow into the full operating layer.
pod preview
$299
For one urgent lane, one source of truth, and one concrete automation path.
- vertical operating map
- connector contract
- approval policy
- starter company graph
growth pod
$799
For teams ready to connect tools and run multiple coordinated lanes.
- up to three operator lanes
- Brevo lifecycle architecture
- DataForSEO demand scan
- twice-weekly approval queue
operator pod
$1,999
For businesses that want the coordination layer replaced over time.
- full operating model
- daily review loop
- bounded autonomy roadmap
- monthly market pulse
questions buyers ask
Clear before you commit.
Is this replacing my team?
No. Kinetic replaces the coordination layer around the team: follow-up, drafts, research, summaries, routing, and low-risk execution.
Does it work without perfect data?
Yes. The first job is mapping what exists. Kinetic can start from messy inboxes, docs, exports, and a short intake.
What ships automatically?
Nothing risky at first. Customer-facing sends, live website changes, discounts, and paid activity stay approval-first.
Do we need Shopify?
No. Shopify can be a connector, not the category. Kinetic can start with CRM, email, Stripe, docs, analytics, or search data.
Why does this cost more than a prompt?
You are not paying for a prompt. You are paying for the model of your business: vertical research, connectors, policy, memory, QA, and the operating rhythm that turns agent output into shipped work.
Give the business an operator that keeps working.
Start with a company pod. We will map the first lane, connect the first source of truth, and queue the first useful work.