# EKG Futures — 30-day operating gameplan

Proposed operating plan, October 22, 2026. These are recommended actions and targets, not completed work or promised results.

## Positioning

We help boards and C-suites build AI-native ways of working through leadership education, workflow experiments, and measurable business outcomes.

Suggested purpose: Make practical AI capability accessible to the people building tomorrow’s organizations.

Use “workflow redesign,” “learning loops,” “human accountability,” and “verified business value” with concrete explanations. Describe “AI-native” as designing work around the capabilities of people and AI together. Avoid promising 10x or 100x results or presenting workforce forecasts as established facts.

## Start inside EKG

Pilot the path from a discovery conversation to a reviewed workshop plan. Use fictional client examples first. This is a proposed pilot, not an active automation.

1. Collect a structured discovery brief: business problem, audience, approved tools, desired outcome, constraints.
2. Draft the session agenda, exercises, and measurement plan with AI assistance.
3. Have a founder check accuracy, relevance, feasibility, and client commitments.
4. Deliver the workshop; collect participant work and feedback with consent.
5. Review the workflow experiment after two weeks; revise the reusable session guide.

Do not automate client outreach, pricing commitments, or publication without the responsible person's approval. Client data must remain within that client’s approved tools and access boundaries.

## First 48 hours

Hold a 60-minute founder working session. Assign five accountable roles from the founding team: executive sponsor, workflow owner, learning lead, measurement lead, and data/access reviewer. These are responsibilities to assign, not invented founder titles.

Choose one pilot, define its beginning and end, and log at least five representative examples if available. Include time waiting, reviewing, and correcting. Agree a realistic test budget and one quality checklist. Schedule a weekly 30-minute evidence review.

## Weeks 1–4

| Week | Work | Reviewable output |
|---|---|---|
| 1 | Map discovery-to-workshop planning, remove duplicate handoffs, record baseline | Process map, five sample cases, named owner |
| 2 | Create a reusable brief, AI drafting instructions, evaluation checklist, and reviewer queue | Versioned workflow v1 and internal demonstration |
| 3 | Run paired comparisons using comparable cases; pair a learner with an experienced reviewer | Completed scorecard, exception log, participant feedback |
| 4 | Compare results, decide expand/revise/stop, and allocate recovered capacity | Evidence brief, revised workflow, next experiment |

Example decision gate to agree before testing: at least 25% lower median end-to-end turnaround across ten comparable cases, no critical accuracy failures, and no increase in rejection rate. This is an initial target, not a guarantee or statistically conclusive benchmark. Extend testing if volume is low or results are mixed.

## Weekly operating rhythm

Monday: choose the week's hypothesis and test cases. Wednesday: demonstrate a real output and review exceptions. Friday: compare baseline and pilot evidence, decide one change, and version the instructions. Every experiment has one owner, one hypothesis, and one next decision.

Keep a shared operating folder with approved templates, examples, test results, and decision records. Separate client workspaces. Do not mix confidential client material into a common training library.

## Measurement

Use the downloadable workflow-pilot-scorecard.csv. Track end-to-end turnaround, active work, review, rework, accepted outputs, and direct tool cost. Include participant completion and demonstrated capability for training.

Recovered capacity = comparable baseline labor hours minus pilot labor hours, including review and rework. Report capacity separately from cash savings. Count cash savings only when an actual expense is reduced; count revenue impact only with an agreed attribution method. Finance or the client sponsor should validate financial claims.

## Course and trainer sign-in recommendation

Build one learning portal with learner, trainer, client-sponsor, and administrator permissions. Keep public program pages open.

Learners: assigned courses, workshop calendar, materials, exercises, progress, feedback.
Trainers: assigned cohorts only, session plans, attendance, submission review, feedback.
Client sponsors: their organization's aggregate participation and pilot outcomes only.
Administrators: invitations, role assignment, course publishing, and access management.

First release should be invitation-only, tied to a real pilot cohort and one complete course. Require server-enforced role checks and organization isolation. A trainer must not see other clients’ submissions. Revoke access when an engagement ends. Test learner, trainer, sponsor, and admin permissions before launch. Store no private learning data in public site files.

The current website has no course authentication, enrollment, payment, or persistent progress system. This document defines the next build; it does not imply those features exist.

## Initial curriculum

1. Executive orientation: distinguish useful AI assistance from unsupported claims; select one business outcome.
2. Workflow discovery: map handoffs and delays; define a baseline and human approval points.
3. Practical lab: test instructions and outputs on approved examples; record failures as well as successes.
4. Pilot review: compare results and costs; demonstrate the workflow and decide what to change.

Each module ends with a work product rather than only a quiz. An internal facilitator should successfully deliver a practice session and receive feedback before leading a client cohort.

## Research basis and limitations

Reviewed Salim Ismail's YouTube channel listings, episode descriptions and chapter information, plus his own written account of the linked episode and OpenExO's public framework. YouTube transcript access did not yield readable content; this is not a claim to have watched the videos end to end or verified an exact quotation at 27:06.

- Organizational Singularity episode: https://www.youtube.com/watch?v=I9c8STV7Hnw&t=1626s
- Salim's written account: https://www.linkedin.com/pulse/organizational-singularity-conversation-peter-diamandis-salim-ismail-tnhse
- Find the Friction video: https://www.youtube.com/watch?v=36ScWfgyvD4
- Measurement essay: https://www.linkedin.com/pulse/everyone-saved-time-nobody-can-find-salim-ismail-tbkqf
- Purpose and agent authority essay: https://www.linkedin.com/pulse/your-agents-inherit-whatever-you-failed-write-down-salim-ismail-qqnsf
- OpenExO framework: https://openexo.com/exo-model

The schedule, role structure, pilot thresholds, and curriculum above are EKG-specific recommendations. They are not Salim Ismail’s prescribed program. EKG Futures is independent and makes no claim of OpenExO affiliation, certification, or endorsement.