Use case 1
Executive AI stack
Set up Claude Code, Cowork, Codex, OpenClaw, Hermes, secure workspaces, memory, files, and approved tools around how the executive actually works.
For CEOs, founders, executives, chiefs of staff
02
Personal AI implementation for executives.
OpenNash gets leaders current on AI, installs the personal agent stack, and manages the workflows that save executive time: briefings, research, email, calendar, board prep, follow-up, and internal reporting.
01
The work that is quietly eating margin.
Get fluent. Get the stack. Put agents to work safely.
1AI is moving faster than the executive team can track
2Leaders are using ChatGPT, but not a real AI stack
3Email, calendar, research, and follow-up still eat executive time
4OpenClaw and Hermes look powerful but risky to set up alone
5The company needs AI fluency before it can safely deploy agents
02
The closed-loop system OpenNash builds.
Same operating pattern, tuned to Executives workflows.
01 Intake
Capture
Read work from the tools your team already uses.
02 Reason
Decide
Classify, retrieve context, choose the workflow, and flag risk.
03 Draft
Produce
Create the response, report, memo, update, or work product.
04 Approve
Control
Route judgment-heavy or sensitive actions through human review.
05 Learn
Improve
Measure outcomes, exceptions, quality, and cycle time.
Feedback loop: every completed workflow becomes a signal for the next version.
03
High-leverage use cases.
Start where the volume, pain, and business value overlap.
Use case 2
OpenClaw or Hermes agent
Implement and manage a personal agent that can handle delegated digital work with clear permissions, logs, and review before sensitive actions.
Use case 3
AI 101 and 201 education
Teach leaders what agents are, what they can safely do, how to prompt, how to review outputs, and how to spot real use cases inside the business.
Use case 4
Daily briefing workflow
Pull calendar, email, CRM, news, documents, and team updates into a concise daily brief with links back to the sources.
Use case 5
Board and investor prep
Draft board updates, investor memos, KPI narratives, and follow-up lists from existing systems for executive review.
Use case 6
Meeting-to-action system
Capture decisions, owners, risks, and next steps from calls, then draft follow-ups and open tasks in the tools the team already uses.
04
Before and after.
Representative outcomes depend on scope, data quality, systems, and volume.
Before
Manual drag
- AI use is ad hoc
- Executives test tools alone
- Briefings are manual
- Follow-up lives in memory
- Agent setup feels risky
to
After
AI-enabled ops
- A managed personal AI stack
- Executives know what to use and when
- Briefings draft themselves
- Follow-up becomes a system
- OpenClaw and Hermes run with review and controls
Executive hours back
+8-12/wk
Representative range
AI fluency
101 + 201
Representative range
Briefing prep
-80%
Representative range
Follow-up leakage
-60%
Representative range
Next step
Build your executive AI stack.
Book a 30-minute meeting or email [email protected] with the workflow that hurts, the tools involved, and what success would look like in 90 days.