Inquiries lose momentum
New requests arrive, but ownership, qualification, or the next action remains unclear.
AI + operations automation for founder-led businesses
I help founder-led businesses improve the workflows behind support, follow-up, reporting, and service delivery—using practical automation, clear exception handling, and human review where judgment matters.
Built around your existing process. Tested for exceptions. Documented for human ownership.
One defined problem · Human review · Documented handoff
Where friction grows
The problem is rarely one missing app. It is the invisible space between inquiry, ownership, follow-up, support, delivery, and reporting.
New requests arrive, but ownership, qualification, or the next action remains unclear.
Answers depend on who is available, where information lives, and whether someone remembers the latest process.
Founders and team leads spend time collecting updates instead of seeing ownership and exceptions clearly.
A happy path exists, but incomplete, sensitive, duplicate, or failed cases have no safe review route.
The operating outcome
The goal is a more controlled process—not automation for its own sake.
Capture the right information, assign ownership, and preserve a visible next action.
Give routine requests a reliable path while routing uncertainty to a person.
See what moved, what is overdue, and which cases require review.
Reduce repetitive administration so people can focus on context, judgment, and client care.
Proof you can inspect
A controlled demonstration of capture, validation, ownership, human review, and failure handling.
Demonstration workflow — synthetic data
A short form records the contact, company, and process creating the most friction. Sensitive information is explicitly discouraged.
Required information and email format are checked. Incomplete or suspicious entries do not silently enter the normal path.
The workflow checks for an existing email, then updates or creates a record in a structured Google Sheets lead register.
Acknowledgement explains what happens next without overpromising speed, scope, or a result.
The lead record stores ownership, due dates, and the next action. A Calendly path can be offered when the event URL is configured.
Unsupported, ambiguous, low-confidence, or failed cases move to a review queue, create an activity log, and send an email alert.
| Scenario | Expected path | Visible safeguard |
|---|---|---|
| Complete new inquiry | Create record → acknowledge → assign | Normal path |
| Existing email | Update existing record | Duplicate prevention |
| Missing or invalid detail | Stop standard flow → request review | Human check |
| Record or email failure | Preserve data → log → alert | Failure recovery |
Start with one controlled pilot
Each engagement begins with a defined problem, bounded systems, clear ownership, test scenarios, and human-review rules.
Give routine requests a clear path while keeping sensitive, uncertain, and high-value cases with a person.
Give every qualified inquiry an accurate record, an owner, and a visible next action.
Replace manual status chasing with clearer ownership, activity history, and exception visibility.
Improve consistency across enrollment, communication, access, delivery, and support handoffs.
A bounded delivery process
The implementation is designed to be understandable, testable, and owned by the client.
Select one costly or repetitive workflow and understand the tools, owners, constraints, and exceptions.
Define the trigger, outcome, responsibilities, review boundaries, failure behavior, and acceptance criteria.
Implement the approved workflow using compatible client-owned tools and limited access.
Test normal, exception, and failure paths; document the workflow; and obtain approval before launch.
Scope stabilization, monitoring, and improvements separately based on real use and priorities.
Trust is part of the architecture
AI can assist, but it is not infallible. Sensitive decisions, uncertainty, and system failures need a visible human route.
Existing tools are assessed first. Replacement is recommended only when a genuine reliability, integration, security, or usability limitation exists.
Ambiguous, sensitive, low-confidence, high-value, complaint, policy, payment, and account-action cases remain reviewable.
Where appropriate, the workflow preserves the original information, records the error, queues the item, and alerts the responsible person.
About Leo
I became interested in automation by working inside operations—where repetitive administration, disconnected systems, and unclear follow-up affect both teams and clients.
My background includes coordinating between operations and clients, supporting technical systems, and handling confidential or Trust & Safety work. That experience shapes how I approach automation: practical enough to use, visible enough to manage, and careful about the situations that still require a person.
“Automate the repetition. Preserve the judgment.”
Free Workflow Opportunity Audit
We will examine one repetitive or disconnected process and identify the safest practical next step.
Bring one process, the tools involved, and the point where work gets delayed or missed.
Receive a practical 150–300 word recommendation within two business days after the audit.
If a controlled pilot is appropriate, the scope and custom proposal come before any work begins.
Prefer to talk through the workflow? Choose a convenient time directly.
Book a 30-Minute Discovery CallBefore you request an audit
The first engagement is deliberately bounded so you can evaluate the process before expanding it.
We examine one repetitive or disconnected process, identify where work may be delayed or duplicated, and discuss whether automation could improve it. You receive a brief recommendation email afterward; the audit does not include a complete technical blueprint or implementation.
Whenever practical, yes. I begin with the existing tools and process. If a system can support the proposed workflow reliably, it remains part of the solution. If a serious limitation exists, I explain the issue and alternatives before recommending a change.
Yes. AI is useful, but it is not infallible. Sensitive, ambiguous, high-value, or low-confidence situations should not depend on an AI-generated decision alone. Those cases can be routed to a person for review, correction, or approval.
The goal is to reduce repetitive administration, improve consistency, and create clearer visibility—not remove valuable judgment. People remain responsible for sensitive decisions, exceptions, and client situations requiring context or empathy.
The first engagement is a controlled pilot. The existing process is mapped before changes are introduced, test data is used where appropriate, exceptions are reviewed, and the client approves the workflow before launch.
A typical pilot focuses on one defined problem, one trigger, one outcome, and one to three systems. It may include workflow design, implementation, testing, exception handling, documentation, and handoff. The proposal defines the exact inclusions and exclusions.
Pricing is not currently published because workflows differ in complexity, integrations, access, testing, and support. Qualified opportunities receive a clearly scoped proposal after the audit, with no obligation to continue.
Where appropriate, a reliable workflow preserves the original information, records the error, places the item in a review queue, and notifies the responsible person. The exact recovery behavior depends on the systems and importance of the task.
Client-owned invitations and limited role-based access are preferred. Credentials should be shared only through an approved secure method when necessary—not through ordinary email or chat. Access, permissions, and removal procedures are agreed before implementation.
Implementation concludes with agreed testing, documentation, handoff, and acceptance. Monitoring, stabilization, optimization, or ongoing support can be scoped as a separate engagement when needed.
No obligation and no pressure to automate everything. We will examine one process and identify the safest practical next step.