aicloudsolo · solo automation workshop

available for new engagements

AI automation systems built by Levan Cheishvili.

For SMB owners with messy operations, disconnected tools, manual reporting, and workflows that need to actually run.

I scope, build, integrate, monitor, and document automation systems that reduce manual work — without turning your business into an experiment.

paid discovery · honest scoping · no vague AI promises

Levan Cheishvili, principal operator of AICloudSolo
operator: Levan Cheishvili
role: principal, AICloudSolo
practice: scoped · built · monitored · documented

01 · where it breaks

Where SMB operations break

Most of the businesses I work with are not missing software. They are missing the wiring, checks, and monitoring between the tools they already have.

Manual reporting — data copied between spreadsheets, late reports, unclear source of truth.

Disconnected tools — forms, email, CRM, and admin systems that do not talk to each other.

Fragile workflows — scripts and processes that depend on one person remembering to run them.

Follow-up gaps — leads, invoices, and tasks that fall through the cracks.

Repetitive operations — the same manual steps every day, with no logs and no control.

02 · what I build

Concrete automation, not vague AI

Every system ships with monitoring, logs, operating notes, and a handover walkthrough. If it cannot be observed and operated, it is not done.

Reporting automation

Scheduled extraction, validation checks, report generation, and alerts on failure.

Tool integrations

Forms, email, CRM, and admin systems connected with queues, retries, and error logging.

Workflow automation

Repetitive multi-step operations turned into monitored, documented flows.

Operator dashboards

Live status of jobs, queues, hand-offs, and data quality in one place.

Data validation pipelines

Quality gates and traceability before data moves into reports or systems.

AI-assisted steps

Drafting, triage, and summarization with human review, logging, and clear data boundaries.

03 · workshop evidence

What working systems look like here

Logs, traces, and runbooks — not slideware. This is the operating standard every build is held to.

daily_report.log

Scheduled report run — extraction, validation, generation, delivery.

intake_trace.txt

Integration trace — webhook to admin system, with retries and a manual checkpoint.

runbook_report.md

Runbook fragment — what to do when the pipeline fails.

Representative artifacts, sanitized. Client names, credentials, and records are never shown.

04 · how to engage

Three ways in. All properly scoped.

No broad service menu. Each engagement is a named package with defined deliverables, so both sides know exactly what is being bought.

start here · paid discovery

Workflow Audit

Paid discovery: find the bottlenecks, risks, automation opportunities, and realistic scope — before any build.

  • Workflow map
  • Automation opportunity list
  • Risk and dependency list
  • Recommended first build
  • Rough effort range
  • A clear not-to-do list
fixed scope

Automation Build Sprint

One practical automation or integration, built and handed over properly.

  • Working automation
  • Integration or data flow
  • Monitoring and logs
  • Operating notes
  • Handover walkthrough
ongoing

Ongoing Automation Partner

Senior build capacity for SMBs that need ongoing technical ownership without a full-time hire.

  • Prioritized automation backlog
  • Implementation capacity
  • Maintenance and improvement cycles
  • Monitoring and documentation discipline

On scoping: I do not sell vague AI promises or unrealistic ETAs. The first step is usually a paid workflow audit, so we can identify the real bottleneck, dependencies, and build scope before committing to implementation.

05 · proof

Case sketches, sanitized

Concrete work, described at the process level. No client names, no proprietary details.

Fragile reporting flow

before

  • Manual spreadsheet consolidation
  • Unclear source of truth
  • Late reports

built

  • Scheduled data extraction
  • Validation checks
  • Report generation
  • Alert on failure

result

  • Repeatable reporting flow
  • Clear failure points
  • Handover notes

Disconnected tools

before

  • Forms, email, and the admin system did not connect cleanly
  • Manual copy-paste between systems

built

  • API integration
  • Queue and retry logic
  • Error logging
  • Operator dashboard

result

  • Fewer manual handoffs
  • Better traceability
  • Documented operation

No invented metrics. Where a safe number does not exist, I show process evidence instead.

experimental · by approval

AI Automation Lab

I occasionally test private automation prototypes with selected clients, using synthetic or sample data. These are scoped experiments — not a public platform. Access is by approval, and only after a short scoping discussion.

06 · boundaries

Clear boundaries, stated up front

Sensitive and regulated data

Do not send patient data, credentials, confidential files, regulated records, or proprietary datasets through this website. Work involving sensitive or regulated workflows requires a signed scope of work and appropriate access, data handling, and confidentiality terms.

Operational support

Support, monitoring, production access, and response expectations are defined per engagement. I do not assume responsibility for production systems without an explicit scope, access model, and rollback plan.

AI systems

AI-assisted systems are designed with human review, logging, and clear data boundaries. The goal is controlled automation, not unsupervised decision-making.

Solo by design

AICloudSolo is intentionally small. For work that needs a larger team, 24/7 coverage, or formal compliance certification, I will say so.

07 · how scoping works

Small honest steps, in order

Short inquiry

You describe what breaks, at a high level. No sensitive data.

Paid workflow audit

We map the workflow, find the real bottleneck, and size the work honestly.

Fixed-scope build

One automation or integration at a time, with monitoring and documentation.

Handover or partnership

You get a documented system — and ongoing ownership only if it earns it.

08 · request an audit

Request a paid workflow audit

Describe what breaks in your operations. I reply personally: whether an audit fits, what it covers, and what it costs. Timelines depend on data access, system quality, permissions, and edge cases — so I size work honestly instead of guessing.

Before you write: do not send patient data, credentials, confidential files, regulated records, or proprietary datasets through this form. High-level descriptions only.

Prefer plain email? Write to levan.cheishvili@gmail.com.

High level only — no confidential or regulated content.

Handled personally by Levan. Nothing is stored on this site beyond your request.