Done-for-you automation for small teams
Bring one manual workflow you want off your plate. I’ll turn it into a reviewed automation workspace.
I help small businesses turn repeated manual steps into simple working automations: reports, follow-ups, data checks, customer updates, and tool-to-tool handoffs.
Limited availability — currently accepting a small number of early requests while the service is being developed.
Also open to joining an early-stage or product-led team in a hands-on technical delivery role.
LinkedIn profile No public code portfolio; client and lab code is private by design.
I start with one high-value manual process, build a small working version, and then decide with you what is worth automating next.
small first step · fixed scope · human review · full workspace retained
Operator review
pending: approve customer reply
checked: no credentials in request
Activity
09:42 form request saved
09:44 AI draft prepared
now waiting for human decision
contextual catalog search
Find relevant examples
Describe a workflow, then choose Find relevant workflows.
Suggested solutions
what you receive
What you get after the first step
The first step is intentionally narrow.
After the first step, you receive:
- a plain workflow summary,
- a boundary list,
- a first demo plan,
- a sample-data approach,
- a list of what not to connect yet,
- and a recommendation for a small isolated version or future implementation path.
first commercial step
Start with the core of a real system
I begin with one workflow and build a useful foundation you own — not a throw-away experiment. It can grow with your needs after it proves its value.
- 30–45 minute scoping call.
- One workflow, chosen for business value.
- Sample or approved data only at first.
- Written plan, boundaries, and next step.
- A clear list of what waits until later.
- A small working version you can build on.
Your first consultation is free. Before paid work begins, you receive a clear scope and a quote.
The NIS price list is available after secure sign-in when pricing access is enabled for the account. This limited launch is for businesses established or operating in Israel.
No automatic checkout. You pay only after you approve the written scope and quote.
grow with control
A useful core first. More only when it earns its place.
| Tier | Plain meaning | Cost control |
|---|---|---|
| First working version | One clear workflow, safely tested with sample or approved data. | No unapproved ongoing infrastructure cost. |
| Core system | Strengthen the working version with monitoring, access controls, and more real work. | Scope and monthly cost are agreed in writing. |
| More capacity | Larger or always-on resources only when the proven workflow needs them. | Explicit approval before higher recurring cost. |
I choose technical tools only after the workflow, value, and cost are clear. You approve any move that adds a recurring cost.
Ready to test one workflow?
Send a high-level description; detailed data comes later only after scope.
open a request
Start with one workflow
Send a short description of the process you want to make easier. I will review it and reply with the safest first boundary, what I would connect, and what I would leave out for now.
Limited launch: requests are accepted only from adults acting for a business established or operating in Israel.
For new requests, this form is the communication path.
Already opened a request?
Verify your email with a secure link or six-digit PIN to reopen your request.
Verify your email first
Before verification, only your email is collected. Name, company and workflow details come afterwards.
Before you send a request
This form creates a customer request/session so an operator can reply through the AICloudSolo website channel.
- Use the form only for high-level process and workspace descriptions.
- Do not send passwords, credentials, regulated records, patient data, confidential files, or proprietary datasets.
- Your name, email, company, message, customer request/session data, browser data, and conversation history may be stored so AICloudSolo can respond and manage follow-up.
- A form request is an inquiry only. Paid work requires a separate written scope and quote.
Cookie Notice
AICloudSolo uses one necessary cookie only after you submit the request form.
- Cookie name: aics_session.
- Purpose: keep your request/session connected to this browser.
- Before verification, only an opaque 15-minute authentication challenge ID is kept in sessionStorage.
- After verification, the secure HttpOnly session expires after 30 minutes without genuine user interaction and after 8 hours in all cases.
- Automatic chat polling does not renew the session.
- Personal details, workflow descriptions, chat history, request IDs and customer profiles are not persisted in browser storage.
- Language, accessibility, cookie and UI preferences may remain.
- AICloudSolo does not use advertising cookies for this flow.
- The consent proof is stored with the customer/session/lead record for audit.
Request opened
Request opened. This is what was sent through the form.
- Name
- Company
- Process overview
Account details
Update the account details used across your requests.
Start another request
Drag to moveContinue securely
Drag to movemanual work
Manual work I can help remove
The workspace, dashboard, and technical plan stay intact. The starting point is simpler: one repeated business task that should stop depending on copying, chasing, or checking by hand.
Reports prepared automatically from spreadsheets, CRM exports, forms, or approved databases.
Form and message intake routed into the right request, CRM field, task list, or owner queue.
Leads, invoices, and customer replies kept from disappearing in WhatsApp, email, or spreadsheets.
Data checks and cleanup handled before bad rows enter a report, dashboard, or customer record.
A usable dashboard and trail remain so you still see what ran, what needs review, and what should happen next.
what the client sees
Each approved request can become a personal dashboard and infrastructure plan
The visible product is a client workspace: dashboard, connected workflow map, approvals, logs, and an implementation package that can later become Terraform, AWS CDK, or another reviewed deployment spec.
Personal client dashboard
A real client dashboard would show live automations, approvals, connected tools, secure notes, activity, and operator review.
Illustrative dashboard example using fictional or sample data. Actual metrics depend on the scoped workflow.
Open dashboard image
Example isolated workspace architecture for approved client work
The generated diagram maps the request path, safety checks, client data stores, guarded AI workspace, human approval console, and client dashboard.
Example architecture only. Specific controls depend on signed scope, hosting model, and approved budget.
Open diagram imagehow it works
The work moves through a simple reviewed path
A request enters the workspace, AI prepares the next useful step, the operator approves what matters, and the result remains visible to the customer.
New messages, consent, contact details, and session status stay attached to the client dashboard.
AI drafts, classifies, summarizes, checks context, or prepares a tool action inside the approved workspace.
AI drafts, exports, and sensitive actions wait for a human decision before they go out.
Decisions, tool events, replies, and operating notes remain visible in the same client cloud.
Work log — enough detail to see what ran and where it ended.
Connector trace — tool updates are retried, checked, and kept narrow.
Runbook fragment — the plain notes needed to operate or review the setup.
Representative examples only. Client names, credentials, records, and proprietary data are not shown.
lightweight demo
A small real workflow can run in its own cloud lane
For an approved demo, I can run a simple sample workflow on serverless cloud infrastructure and show the result in the client workspace. The visitor sees the run, status, log, and result; the underlying workflow engine stays behind the scenes.
Choose a harmless sample workflowFor example: validate a small CSV, prepare a tiny report, or check a folder inventory using sample data.
Run it in serverless cloudThe job starts in a separated cloud lane with bounded inputs and no access to private customer systems.
Review the resultThe operator checks the log and output before it becomes part of the visible workspace.
Show it on the dashboardThe client sees status, time, result, and the next suggested step without needing to understand the infrastructure.
The demo uses sample or explicitly approved data only. It is meant to make the service concrete: a small workflow runs, leaves evidence, and appears in the same customer workspace.
For technical teams For larger workflows, the same approach can be expanded into a technical plan with stages, review points, logs, and deployment choices.
eligible users · pipeline planning
Describe a data flow, receive a high-level pipeline map
For selected eligible users, the workspace can turn a plain-language data processing flow into a high-level pipeline map: inputs, checks, intermediate steps, fan-out work, reduce/merge points, controlled feedback paths, outputs, and review gates.
Tell the flow in normal words
What arrives, where it comes from, what should happen to it, what output you expect, and what must be reviewed.
Use a directed pipeline map
The best fit is a high-level directed pipeline map, optionally grouped into lanes for input, processing, review, output, and operation.
Show map-reduce and cycles clearly
Parallel work is shown as fan-out branches, reduce is shown as a merge step, and repeated processing is shown as a controlled cycle with an exit condition.
Generate only when it is justified
Public examples stay deterministic and cheap. Real diagrams are queued, cached, limited per customer, and generated only for eligible requests.
Make live only after review
The user can request “make this live,” but implementation waits for operator review, chat confirmation, ETA, and instructions.
Example: a shop uploads a supplier CSV, the workspace validates it, splits checks by product group, merges exceptions, asks for review, then updates a dashboard and export.
Example: a client submits a form, consent and scope are stored, a guarded intake starts an isolated cloud job, and the operator approves what becomes visible on the client dashboard.
Example: the approved map becomes a production brief, infrastructure-as-code, workflow definition, dashboard contract, review notes, and an owned checkpoint before anything is made live.
The diagram is high-level first. It becomes an implementation plan only after operator review, user confirmation, and agreement on data, access, runtime, cost, and responsibility.
The user sees the proposed flow, asks for corrections, and the operator confirms that the scope is realistic.
The approved diagram becomes a precise build prompt with inputs, outputs, runtime, permissions, checks, costs, and open questions.
The next step can stay in planning mode until data access, payment, responsibility, and acceptance criteria are clear.
After approval, the build package can include infrastructure-as-code, a workflow definition, run notes, and a simple dashboard.
At any stage the user may stop, pay for the completed checkpoint, and keep the useful intermediate artifact.
No production action is automatic from the public form. The generated build prompt is used only after user confirmation and operator approval.
behind the scenes
What gets set up so the workflow can run
Behind the simple dashboard is the technical work: where the workflow runs, how messages arrive, which tools it may touch, what gets logged, what retries, and what waits for approval.
A bounded runtime for this request
The conversation, status, contact details, scope notes, and next actions stay tied to the same customer request.
The few connections that matter
I connect only the tools needed for the workflow, using controlled APIs, queues, or handoff points.
AI where it is useful
The assistant can draft, classify, summarize, or prepare work, but it does not quietly take over the customer relationship.
A view for decisions
Messages, approvals, retries, and exceptions are visible so the work can be handled without digging through inboxes.
A trail of what happened
Important events are logged so the path from request to reply or automation run can be reviewed.
A practical handoff
You get the working setup, the limits, the operating notes, and a clear next step.
what you keep
The result should be useful after the call ends
The goal is not a slide deck. You should leave with a small working environment, the important decisions written down, and a clear idea of what can safely happen next.
A private working area
A small cloud workspace for this request, with the conversation, status, notes, and customer channel in one place.
- Scope for this customer request
- Persistent request channel
- Access and dependency notes
- Safe next-step recommendation
- Visible status
- Clear boundary statement
A workflow that can run
The needed tools are connected into a monitored path with retries, logs, and review points.
- Working automation path
- Tool connector or data flow
- Monitoring and logs
- Human approval point
- Recovery or fallback note
Notes someone can actually use
Enough detail to understand what runs, who approves it, where the limits are, and what should be improved next.
- Runbook or operating notes
- Log and status evidence
- Known limits and access model
- Next improvement path
On scope: the first paid step is deliberately small. It defines the boundary, tool access, approval points, and useful path before any sensitive integration is built.
controls
Useful automation needs limits
Important steps stay under human review. The first version uses sample or approved data and avoids broad access. For real integrations, work can be set up in your cloud account or in a separated account where you keep ownership and grant limited delegated access.
Where the work is allowed to happen
input
- One business process
- High-level context only
- Consent and contact channel
control
- Customer-specific request ID
- Separated session and records
- Access requirements documented
- No credentials in public form
output
- Clear workspace boundary
- Safer integration path
- Traceable follow-up
Where AI is allowed to help
agent role
- Draft, summarize, classify, prepare
- Stay inside the workspace context
control
- Guardrails before agent use
- Human approval for customer replies
- Logs for important events
- Fallback to manual operation
result
- Controlled automation
- Lower operational ambiguity
- Human-operated service channel
Formal compliance claims are made only when they are part of a signed scope. The default promise is practical isolation, narrow access, and a reviewable work trail.
private workspace · by approval
Deeper access comes later, after the shape is clear
Prototype agents, connectors, and data paths are tested with sample or approved data first. Production access, secrets, and sensitive files stay outside the public request flow.
boundaries
What the public form is not for
Sensitive and regulated data
Use the form for high-level summaries only. Work involving patient data, credentials, confidential files, regulated records, or proprietary datasets requires a signed scope of work and appropriate access, data handling, and confidentiality terms.
Access model
Tool access, production responsibility, monitoring, and rollback expectations are defined per workspace. No broad access is implied by the public form.
AI systems
AI-assisted steps are designed with guardrails, human review, logging, and clear data boundaries. The goal is controlled automation with appropriate oversight.
Formal compliance
AICloudSolo can work carefully with sensitive operations, but formal certification or regulated hosting is only promised when explicitly scoped and contracted.
how a request starts
Start small, then build only what is justified
Tell me one workflow
Describe the process at a high level and confirm the communication/session terms.
Decide what belongs inside
I clarify the tools, access model, approval points, and practical risks before connecting anything sensitive.
Build the narrow path
Connectors, AI assistance, logs, and operator controls are added one safe path at a time.
Use it and improve it
You receive the working path, notes, limits, and the next improvement option.
feedback
Help make the site clearer
Use this form after reading the page, opening a request, or seeing a demo. It is separate from the request form and has no incentive attached.
Refer a business owner
Know someone with a workflow they want to make easier? Send them your referral link or code yourself. Do not enter someone else’s email or private details here.
Later, after a referred business becomes a paid client, both sides may receive ₪250 credit toward a Workflow Review or Demo Plan. Credit is manual, not cash, one per new client, and only after paid conversion.