AI automation for manual operations

Turn messy manual work into private AI workflows.

UrHermes helps founders, operators, and small teams turn recurring business admin into approval-gated Hermes workflows — designed around how the work actually happens, not around another blank AI chat box.

See the method
Workflow audit first One narrow first win Approval by default Handoff included
Monday morning, before UrHermes

Before

You start by hunting for context.

  • Which client replied?
  • What did we promise?
  • What needs follow-up?

After

Your operator has the first pass ready.

  • Brief prepared
  • Draft response queued
  • Risk flagged for approval
Not full autonomy. Prepared work, clear sources, human approval before sensitive action.

Why most AI setups disappoint

The hard part is not installing an agent. It is knowing what work to trust it with.

Small teams do not need more AI demos. They need one practical workflow that removes repeated manual effort without creating new operational risk.

The work is scattered

Client notes live in email. Decisions sit in chat. Files move around. Every update starts with “where did we leave this?”

The follow-up is fragile

Important replies, status updates, reminders, and handoffs depend on someone remembering to check again later.

The AI tool is blank

ChatGPT can help in a moment, but it does not know your process, monitor your inputs, or wait inside your workflow.

Workflow before tools. Trust before autonomy.

UrHermes starts with the manual operation: what repeats, where context lives, what the output should look like, and which actions must wait for a person. Hermes is the implementation layer — not the whole strategy.

How the sprint unfolds

From messy process to working operator.

The first deliverable is not a big automation fantasy. It is a scoped operating workflow your team can understand, test, and safely use.

01

Audit the manual operation

We map the current process: inputs, owners, bottlenecks, tools, risks, and what “done” actually means.

02

Choose the narrow first win

One useful workflow beats ten vague automations. We pick the recurring job that saves time without adding risk.

03

Build the operator workflow

Hermes gets memory, tools, scheduled checks, reusable procedures, and source-aware prompts around that job.

04

Hand off a system you can trust

You leave with the workflow, approval rules, test examples, handoff notes, and a support path for iteration.

What it can handle first

Start where the work already hurts.

Good first workflows are repetitive, context-heavy, and safe to prepare before a human decides. That is where an operator starts feeling useful instead of gimmicky.

Founder operating rhythm

Morning priorities, customer follow-ups, investor/customer notes, weekly progress summaries.

Project ops manager

Meeting prep, action-item tracking, blockers, stakeholder updates, and status reports.

Client intake assistant

Collect required info, spot missing documents, summarize context, draft follow-up questions.

Research monitor

Watch competitors, market news, web pages, roles, or source lists and prepare concise briefs.

Operator workflow
Review before action

Inputs watched

InboxClient replied
CalendarPrep needed
FilesNew PDF
TrackerFollow-up due

Operator logic

Ur
  • 01 Finds context
  • 02 Applies procedure
  • 03 Shows sources
  • 04 Waits for approval

Work prepared

Brief What matters
Draft Ready to review
Tracker Next actions
Risk Needs approval

Approval gate

Drafts, briefs, and updates are prepared. Sensitive sends wait.

Why YongAI

Built like a consulting engagement, not a software install.

Gary’s edge is process work: current-state analysis, bottleneck identification, requirements gathering, stakeholder alignment, runbooks, and handoff discipline. UrHermes brings that operating rigor to AI workflow implementation for smaller teams.

The goal is simple: one workflow you would actually use weekly, with clear inputs, outputs, ownership, and approval rules.

Offer ladder

Start with the audit. Build only what proves useful.

Workflow Audit

Free–CAD $49920–60 minutes

Find the first workflow worth automating.

  • Current-state map
  • Manual pain diagnosis
  • 1–3 AI workflow candidates
  • Risk/approval notes
  • Recommended next step

Operator Setup Sprint

CAD $1K–$2.5KAbout 1 week

Build the first operating layer for a founder or small team.

  • 3–5 workflows
  • Memory/profile baseline
  • Custom skills
  • Tool/schedule setup
  • Handoff doc + support

Next step

Bring one annoying workflow.

We will map it, decide whether an AI operator should touch it, and identify the smallest useful build.

Email Gary