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AI, product, and operations software

Turn a difficult software decision into a system your team can use.

GreyX scopes, builds, and rescues complex software through an AI & Product Diagnostic, a focused Build Sprint, or an ongoing Product Partnership.

Start the DiagnosticSee a system GreyX built

How the system works

AI-powered workflowthat keeps you in control.

We combine reliable data, useful AI tools, and human oversight so decisions remain inspectable.

  1. Your team

    Brings the context, goals, and feedback.

  2. Product interface

    Gives the work one clear, usable place.

  3. Business rules

    Keeps decisions consistent and inspectable.

  4. Reliable data

    Supplies accurate, current information you can inspect.

  5. AI tools

    Supports the work without owning the decision.

  6. Human approval

    People make the final call. You stay in control.

  • Reliable context

    Built on current data and explicit inputs.

  • Rules you can inspect

    Business logic stays visible and reviewable.

  • Human-in-the-loop

    People retain the final decision.

  • Faster decisions

    Automation handles repeatable work.

A usable system connects the people doing the work, the product they see, the rules and data behind it, and deliberate points for human approval and AI.

What GreyX can move forward

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GreyX scopes, builds, and rescues complex AI, product, and operations software for founders and lean teams.

  1. 01AI systemsTurn AI ideas into workflows with clear data boundaries, evaluation points, and human review.

    Map the workflow, choose where AI adds leverage, and keep human approval and durable state explicit.

  2. 02Product buildsShip focused product slices that prove the workflow before a larger build decision.

    Connect product decisions, system boundaries, and implementation so a usable vertical slice can ship.

  3. 03Internal toolsReplace fragile spreadsheets and manual handoffs with internal software that matches how the business works.

    Replace scattered operational steps with one usable workflow, clear ownership, and inspectable business state.

  4. 04Rescue workStabilize unclear architecture, stuck delivery, or AI features that need a more grounded path.

    Trace the failure across UX, backend, data, and deployment, then prioritize the smallest credible recovery path.

A system you can inspect

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Open-source personal project

ForgeGraph is an open-source personal project built by GreyX. It makes the full craft inspectable: how a complex system is designed, implemented, debugged, and prepared for deployment.

ForgeGraph

ForgeGraph shows a difficult system working across product UX, backend workflow, durable data, execution, and AI.

You can inspect how GreyX handles ambiguity, system boundaries, and technical trade-offs before starting a paid engagement.

Inspect the system decisions and evidence

Challenge

ForgeGraph coordinates approvals, departments, workflows, AI execution, and operational state in one product surface.

Architecture

Browser -> Next.js -> Django -> Postgres -> Go Engine -> LLMs

Decisions

  • Keep the browser experience clear while the workflow graph remains server-controlled.
  • Use Django and Postgres for durable business state instead of scattering workflow data across tools.
  • Run specialized execution through a Go engine where latency and orchestration need tighter control.
  • Treat LLM calls as one part of the system, not the whole product.

Evidence

  • Approved public demo captures show the product surface and the human-approval workflow.
  • The public narrative focuses on architecture, workflow decisions, and operational constraints.
  • Sensitive names, IDs, emails, keys, and private production details stay out of the case study.

Limitations

  • The public architecture is intentionally simplified.
  • Screenshots come from an isolated fictional Northstar Analytics demo, not a client environment.
  • Commercial impact is not stated as a metric without verifiable source material.
Study ForgeGraphDiscuss a similar system
Overview of the ForgeGraph company workspace in the fictional Northstar Analytics demo.
Overview capture from the isolated fictional Northstar Analytics demo workspace.
ForgeGraph operation approval workflow shown in the fictional Northstar Analytics demo.
Human-approval workflow capture from the isolated fictional Northstar Analytics demo.

Real product surfaces, shown without decorative browser chrome. These captures come from an isolated fictional Northstar Analytics demo. They demonstrate product UI and workflow only; they are not client, revenue, user, or production outcome evidence.

Choose the right starting point

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Choose the level of commitment that matches the decision in front of you. Pricing follows scope and deliverables, not time sheets.

Choose a GreyX service

Three days to a build decision

AI & Product Diagnostic

USD 350 fixed

3 business days

In 3 business days, the Diagnostic turns an unclear product or AI decision into a prioritized implementation path before you commit to a build.

USD 350 fixed. In 3 business days, receive a prioritized technical and product implementation path.

Best for
Founders and operators who need clarity before committing to a build.
Timeline
3 business days

How the three days work

Day 1Discovery

Map what exists, where delivery is stuck, and what the product must make possible.

  • Working call
  • Current architecture
  • Pain points
  • Business goals and constraints
Day 2Analysis

GreyX compares practical paths and separates real leverage from speculative AI work.

  • Technical analysis
  • Architecture options
  • Risk review
  • AI and automation opportunities
Day 3Delivery

You receive a concrete plan that can guide a sprint, partnership, or internal decision.

  • PDF delivery
  • Diagram and roadmap
  • Milestones and budget estimate
  • Implementation proposal and Q&A call

What you receive

  • Architecture diagram
  • Opportunity analysis
  • Prioritized roadmap
  • Suggested tech stack
  • Implementation phases
  • Budget estimate
  • Timeline
Inspect what supports this engagement
  • Discovery, Analysis, and Delivery across 3 business days.
  • A decision package with architecture, roadmap, recommended stack, implementation phases, budget, and timeline.
  • Use it to decide whether to build, pause, or change direction before a larger commitment.

Best entry point when the problem is valuable but the path is still unclear.

Start the Diagnostic

Build Sprint

Starting at USD 2,500, generally 1-3 weeks to deliver a usable slice with a defined scope.

From USD 2,500

1–3 weeks
Best for
Teams ready to ship a vertical slice, internal workflow, or AI-enabled product path.
Timeline
1–3 weeks

What is included

  • A focused scope tied to one usable product or workflow slice.
  • Product, architecture, and implementation decisions stay connected through delivery.
  • Start after a Diagnostic or when the target and constraints are already clear.

Designed for momentum when the product decision and constraints are understood.

Send a project brief

Product Partnership

Custom quote for systems that need ongoing product and engineering decisions.

Custom quote

Defined from scope
Best for
Ongoing product and engineering ownership when the system needs sustained decisions.
Timeline
Defined from scope

What is included

  • Custom roadmap, cadence, and delivery shape.
  • Useful for operations software, AI systems, and platforms that need ongoing decisions.
  • Quoted from scope, risk, and expected ownership.

Best when GreyX needs to stay close to product decisions beyond one sprint.

Send a project brief

One accountable path from scope to delivery

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The person who scopes the system stays accountable through product, architecture, implementation, and delivery, so context does not disappear between handoffs.

Mike Athie

Founder and product engineer
See the GreyX approach
  1. 01

    Direct accountability

    System definition and implementation stay close enough to resolve trade-offs without losing context.

  2. 02

    Clear trade-offs

    Architecture choices are explained in business terms, not hidden behind tool lists.

  3. 03

    Useful outputs

    Every engagement produces a concrete next decision, plan, or shipped slice.

  4. 04

    Proof with restraint

    Sensitive data, private screenshots, and unverified claims stay out of public material.

Accountable from the first question to the final handoff.

Questions before you start

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Who stays accountable?

One accountable product engineer leads the engagement and brings in help only when the scope clearly needs it.

What happens after the Diagnostic?

The Diagnostic defines the path, and a Build Sprint or Product Partnership can follow if there is a clear fit.

What makes a project fit?

GreyX works best when the buyer can share constraints, system context, and decision ownership.

Can sensitive systems be discussed?

Yes, if the scope can be sanitized and the public story avoids private or unverifiable details.

Start with the system that is stuck

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You do not need a finished specification. Share the system, business goal, constraints, budget range, and timeline. You will receive a fit decision and the next useful step.

Usually within one business day.

Email: hello@greyx.dev
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