Your team copies the same data between tools every day.
Workflow diagnosis · production systems
Your business has workflow drag. We build the system that removes it.
S7 finds where work gets stuck, then builds the dashboard, app, plugin, AI workflow, or operating layer that makes the process visible, controlled, and repeatable.
Intake4 sources Delay11.8 hrs/week Controlapproval path
Scattered work
WhatsApp leadwaiting 18m Spreadsheet stock12 units off Invoice approvalno owner Weekly reportno action S7 map rules APIs audit
Controlled system
Owner dashboardone queue API readbackverified Human approvallogged Next actionassigned01Find drag
02Design system
03Launch controls
If this feels familiar
You do not need more tools. You need the work to move cleanly between them.
Most businesses do not have a technology problem first. They have a handoff problem, a visibility problem, or a decision problem. S7 starts there.
Reports exist, but decisions still happen manually.
Leads, stock, invoices, bookings, or follow-ups fall through gaps.
You tried AI tools, but they do not connect to the real workflow.
The process lives in people’s heads instead of a system.
Problem into system
We translate vague operational pain into a concrete first build.
Problem
Leads arrive from WhatsApp, calls, email, and forms.
S7 builds
Unified intake, routing, summaries, and handoff.
Result
Every inquiry has an owner, next step, and visible status.
Problem
Inventory, ads, and sales data point in different directions.
S7 builds
SKU-level operating layer across ads, stock, and fulfillment.
Result
Scale winners only where inventory and margin support it.
Problem
Invoices, approvals, and reminders depend on memory.
S7 builds
Finance workflow with checks, approvals, and follow-up triggers.
Result
Less admin drag and fewer missed payments or handoffs.
Problem
Staff use AI, but there is no policy or review path.
S7 builds
Safe assistant workflows, training, and operating rules.
Result
Useful AI output without blind automation or data sprawl.
Portfolio metrics are S7-supplied project details. Public context and citations are listed in the linked case studies.
TalkRight healthcare AI 
AxioLift EV startup 
sonnen battery systems 
KIT research institutes 
mu-zero hyperloop team 
Mercedes-Benz production context Names and marks are used for portfolio context only; they do not imply endorsement or partnership unless stated in a case study.
Live project focus
Existing work first. Capabilities second.
We show the operating systems, product builds, and engineering contexts already behind the studio, then use that same product discipline for new businesses, apps, platforms, plugins, and automations.
PartsDoctorAmazon operating layer
ACOSde-bid waste
ROASscale winners
SKUroute stock
APIverify live
Automotive ecommerce operations
PartsDoctor / AJKDirect
Amazon Ads, Seller Central, inventory routing, AWD/FBA planning, and verification workflows brought into one operating layer.
Public footprint: PartsDoctor Amazon merchant and IgnitionDoctor brand store for replacement auto parts.
Amazon Ads APISP-APIInventory logicFBA/AWD
Open case study → TalkRightclinic comms hub
call sms AI email handoff
Healthcare communications AI
TalkRight
A clinic communication product concept for calls, WhatsApp, SMS, email, appointments, handoff, and multilingual patient flow.
Public site describes secure healthcare communications across phone, WhatsApp, SMS, email, and 70+ dialects.
AI voiceClinic workflowPatient commsSecure handoff
View public site → EngineeringR&D proof map
588V CFD ML CAD €1.4M 100K
Mobility, energy, medical and ML R&D
Engineering + research systems
A portfolio of production simulation, battery systems, medical devices, research ML, EV startup work, and physical engineering programs.
Public context spans KIT research institutes, Mercedes-Benz production, mu-zero Hyperloop, KA-RaceIng, VoltStorage, PhysioHand, sonnen, and Axiolift.
Battery systemsCFD + MLMedical deviceProduction simulation
Open case study → Generalized build studio
Apps, platforms, plugins, automations — we can build the layer your business is missing.
Full-stack platforms
Dashboards, portals, admin systems, databases, permissions, APIs, and production deployment.
Mobile apps
Lean product builds for tracking, booking, customer portals, coaching, field teams, and internal ops.
Plugins + integrations
Xero, CRMs, spreadsheets, email, calendars, marketplaces, documents, and custom business tools.
AI automations
Assistants, document workflows, voice agents, routing, summaries, approvals, and human-in-the-loop systems.
Consulting + weak-point audits
Map where the business leaks time, rank automation opportunities, and choose what not to build.
Training + operating policy
Practical AI usage, staff playbooks, safe boundaries, review paths, and escalation rules.
How clients start
Choose the shape of the first useful step.
You do not need to know whether the answer is an app, dashboard, workflow plugin, or AI assistant. The entry point is the operating pain.
Automation review
Map the workflow, identify the manual drag, rank opportunities, and choose the first useful system.
First useful system
A focused dashboard, plugin, assistant, or workflow layer that fixes one painful operating loop.
Full platform or app
A production web platform, mobile app, portal, or ERP-style system around the business process.
AI workflow integration
AI connected to your tools with approvals, logs, fallbacks, and staff review where it matters.
Consulting into build
We find the weak point, then build around it.
Sometimes the answer is a full platform. Sometimes it is a mobile app, a plugin, a dashboard, staff training, or one automation around the tool you already use. The review identifies the smallest useful step before the larger build begins.
Map my workflow 1 Find the manual drag
2 Design the smallest useful system
3 Build the product, app, plugin, or automation
4 Launch with controls, training, and iteration
Built with controls
We do not automate sensitive work blindly.
Money, customer messages, patient data, account changes, and operational decisions need scoped access, approvals, logs, and fallbacks. S7 builds those controls before autonomy expands.
Read trust approach Scoped data accessHuman approval for sensitive actionsAudit-friendly logsAPI readback verificationRate-limited contact flowClear fallback paths
Start simple
Send the workflow, bottleneck, or product idea.
We’ll tell you what is worth automating, what should stay human, and whether the first useful version should be a platform, app, plugin, assistant, or consulting roadmap.