THE TOMORROW MACHINE

Workflow Upgrade

Make one recurring workflow faster, clearer, and reviewable.

Configure or automate one proven workflow using existing systems, AI tools, integrations, voice, or supervised browser automation—with human approval at the appropriate points.

Typically $3,000–$10,000 depending on scope

MIT education · Former Amazon product leader · Longtime CTO · You work directly with Jason

A tangled manual process on the left flowing through an orange human-approval checkpoint into a clean sequence of connected, reviewable workflow steps on the right

What qualifies as a good workflow

The best workflows to upgrade share a shape.

This engagement works best on a process that is already understood and worth improving.

  • Repeats often
  • Has recognizable inputs and outputs
  • Has a human owner
  • Creates a measurable delay, cost, or error burden
  • Can be reviewed before an external or irreversible action
  • Has enough volume to justify improvement

Examples by business function

Recurring workflows worth upgrading.

Sales

Lead response, sourced briefings, and proposal drafting with approval before outreach.

Operations

Document extraction, exception routing, and voice-to-task from meetings or the field.

Client service

Intake, standardized response drafting, and status updates with human approval.

Finance and admin

Invoice and AR follow-up prioritization and recurring report assembly.

Reporting

Pull from existing systems and produce a plain-language summary of what changed.

Research

Supervised browser research across approved sites, assembled into a reviewed report.

Implementation layers

Use the lowest layer that solves the problem reliably.

The engagement is not biased toward building. It uses the simplest approach that works and holds up.

  1. 1

    Better method in an existing tool

    Improve how a person uses ChatGPT, Claude, voice, or a suite feature on the task.

  2. 2

    Shared team process and templates

    Standardize the method with instructions, examples, and review rules the team shares.

  3. 3

    Configuration or integration

    Configure assistants or connect AI outputs to CRM, task, document, or reporting systems.

  4. 4

    Selective custom build

    Build a specialized component only when existing tools and light integration are inadequate.

What is included

A configured, tested, documented workflow.

  • One proven workflow configured or automated
  • Existing-system and data integration where useful
  • Voice or supervised browser automation where appropriate
  • Human review and escalation points
  • Acceptance testing against agreed criteria
  • Baseline and new-performance comparison
  • Documentation and staff enablement

What you provide

The upgrade works when the workflow is accessible.

  • A human owner for the workflow
  • Representative inputs and outputs
  • Access or permissions for the relevant systems
  • Existing constraints on data and tool use
  • Staff time for acceptance testing
  • A decision-maker to approve the acceptance criteria

Acceptance testing

Done means it works on real cases.

  • Required inputs are recognized
  • Output format is usable
  • Exceptions are routed correctly
  • Human approval occurs before external action
  • Failures are visible
  • Staff can operate the workflow
  • Baseline and new performance can be compared
  • Documentation is delivered

Data, permissions, and failure handling

Supervised by design.

  • Automation is supervised, reviewable, and used only where permissions and platform rules allow
  • Human approval is required before external or irreversible actions
  • Failure modes are made visible rather than hidden
  • Sensitive workflows may require approved vendors, agreements, or additional controls
  • The engagement covers one workflow; additional workflows are separately scoped
  • It does not guarantee a specific return on investment

A reliable, reviewable workflow beats an impressive demo that no one can trust in production.

Price drivers

Typically $3,000–$10,000, based on scope.

Scope is defined in writing before work begins.

Price is affected by

  • Complexity of the workflow
  • Number of systems and integrations
  • Whether supervised automation is involved
  • Sensitive-data requirements
  • Volume and exception handling
  • Depth of acceptance testing and documentation

Case evidence

Examples of implementation work.

Outcomes are anonymized and estimated or observed where exact client metrics cannot be disclosed.

Call review automation

Voice summarization and task creation with human review cut call-review time by an estimated 60%.

Executive reporting

An automated weekly report reduced a two-day cycle to under two hours of review.

Intake and paperwork

Document extraction and pre-filled forms roughly halved intake prep time, with staff confirmation.

Why The Tomorrow Machine

Enough engineering depth to know when not to build.

You work directly with Jason Merkoski. Jason combines an MIT education, early Amazon product leadership, long CTO experience, and current hands-on work across AI tools, integrations, voice AI, supervised browser automation, and production systems.

That means the upgrade uses the lowest reliable layer—method, configuration, integration, or a build—rather than reaching for custom software by default.

  • Human review at the right points
  • Acceptance criteria before delivery
  • Documentation your staff can operate

FAQ

Questions buyers ask first.

The best candidates repeat often, have recognizable inputs and outputs, a human owner, a measurable burden, a review point before external action, and enough volume to matter.

Bring one recurring workflow

Bring one recurring workflow worth improving.

Describe the workflow, its owner, and where it slows down. We will confirm fit, choose the right implementation layer, and define acceptance criteria.

Free 20–30 minute AI Fit Call · No sales team · You speak directly with Jason

Prefer email? Reach Jason directly at hello@tomorrowmachine.ai.

Based in Santa Fe, New Mexico. U.S. Mountain and Pacific working hours.

Book an AI productivity call

Pick a time for a free 20–30 minute AI Fit Call. We will look at how your team works today, where existing AI tools could help, and the smallest sensible next step.

What happens on the call

  1. 1.You describe the recurring work, pain point, or competitive pressure on your mind.
  2. 2.We decide together where existing AI tools could help—or whether a simpler fix comes first.
  3. 3.If there is a fit, we identify the smallest sensible next step: an Executive Session, Readiness Review, or 30-Day Program.
  4. 4.No sales team, no pitch deck. You speak directly with Jason.

Useful to bring

  • The recurring work or decision you want to improve
  • The AI tools and software your team already uses
  • What would make a first step worth doing
Bring one recurring workflow