What an AI Consultancy Can Build for Itself with Mythex

An AI consultancy can use Mythex to build its own website and use-case library, a client portal that keeps prototypes next to their evaluation results, a CRM that tracks use cases by phase, phase-based quotes and a training platform for client teams. Each one starts as a chat message and becomes a working app with a database and a public URL.

Keeping momentum after the demo

AI work is sold in phases: a discovery workshop, a proof of concept, a pilot, then production and support. The risk is the gap between phases. A prototype gets shown on a call, everyone is impressed, and a week later nobody remembers who owns the decision. Consultancies need each use case tracked as its own record with a budget owner, a technical owner and a dated next step. Clients need a single place to see prototypes, recordings and the test cases that show whether outputs were right. The firm also needs quotes that list assumptions about data access, milestone billing, and a clear view of who is staffed where across several clients.

  • Use cases as records, each with its own phase, owners and next step
  • Evaluation logs the client can read and add to
  • Phase-based quotes with listed assumptions and optional line items
  • Milestone invoices, retainers and purchase order numbers
  • Consultant allocation by half-week across clients

What you can build for ai consultancies

A site written for the operations manager, not the engineer

Case studies framed by outcome, such as invoice extraction cutting manual entry, rather than by model names. A plain page on the engagement model and what each phase delivers. Your stance on client data in ordinary words. An enquiry form that asks about the use case and the data available, so the first call starts with substance.

Build a website for an AI consultancy. Pages: home, services (discovery workshop, prototype builds, integration, team training), case studies by outcome, how we handle client data, and an enquiry form asking for company, use case, data available and timeline that saves to a database.

A pipeline where every demo ends with a date

One client can have three use cases at different phases, so each use case is its own record moving through discovery, proof of concept, pilot, production and support. The budget owner and technical owner are stored separately, and a deal cannot move forward without a 'next step agreed' field and a date. A view of stalled use cases shows which impressive demos are quietly drifting.

Make a CRM for my AI consultancy. Clients have use cases; each use case has a phase (discovery, proof of concept, pilot, production, support), budget, budget owner, technical owner and a required next step with a date. Show a board by phase and a list of use cases with no activity in 14 days.

A client portal with the evaluation log in it

Each engagement gets a project page with the current phase, decisions made and open questions. Prototype links and demo recordings sit next to the feedback they got. The client records test cases and marks outputs right or wrong, so the go or no-go decision is made on a list of evidence rather than the mood after the last call. Sponsors and technical staff get separate access.

Build a client portal for an AI consultancy. Each client logs in and sees their projects with phase, decisions log, open questions, prototype links and recordings. Add an evaluation log where client users add test cases, the output, and mark it correct or wrong with a comment. Sponsor and technical roles.

Training tracks by role, with the client's own data

Run training for leaders, analysts and the engineers who will maintain the system as separate tracks. Exercises use sample data uploaded per company cohort, and the client can see which of their staff completed each module. Lessons are easy to edit, which matters in a field where tools change every few months.

Build a training platform for an AI consultancy. Courses have role-based tracks, modules and lessons. Each client company is a cohort with its own uploaded sample files. Staff sign in, complete lessons and quizzes, and a client admin sees completion per person.

Phase quotes that list the assumptions

Quote discovery at a fixed price and later phases as a range, with assumptions written on the quote: data access by a date, client staff time, environments provided. Optional items like extra training days can be ticked in or out by the client, and the quote expires when your team's availability would change.

Make a quote builder for AI consulting work. A quote has phases, a fixed price for discovery and estimate ranges for later phases, a list of assumptions, optional line items the client can toggle, and an expiry date. Export to PDF.

A public library of use cases

Prospects search for their problem, not your firm. A catalogue of use cases by industry and function, each with inputs, outputs, typical effort and honest notes on where it tends to fail, brings in enquiries from people who have already done half the qualifying.

Build a public use-case library for an AI consultancy. Each entry has industry, function, data needed, inputs, outputs, typical effort, known limitations and a link to a related case study or an enquiry form. Add filters by industry, function and data type.

What to put in on day one

Do not start with the portal. Start with the CRM and enter every live use case you have, with its phase and its next step. That list alone usually shows which deals need a call this week. Add the quote builder next, so new scopes carry their assumptions, and the client portal when the next proof of concept begins, so its evaluation log exists from the first test case.

  • Live use cases with phase, owners and next step
  • Your standard phase descriptions and assumptions, reused on every quote
  • One portal project for the next engagement that starts

A note on client data

If clients upload documents or sample data to a portal you build, say in the prompt that each client sees only their own files and that staff roles are separate. Mythex scopes queries to the signed-in user when asked. Your own data handling commitments, such as retention or where files are stored, are yours to state and check; Mythex does not carry compliance certifications on your behalf.

Questions

Can I build demos for clients with Mythex too?

Yes. Many consultants use it to put a working prototype in front of a client quickly, with a real database and a shareable URL. Once it is scoped for production, the code can be exported or pushed to GitHub on Pro.

Can clients only see their own projects?

Yes, if you ask for it. Say that each client user sees only their company's projects and files, and Mythex scopes the data to the signed-in user.

Can I sell training courses through it?

Mythex builds the course, enrolment and progress tracking. To charge for access, connect a payment provider account of your own.

Does it work inside ChatGPT or Claude?

Yes. Mythex connects to ChatGPT and Claude from Account settings on any plan, and the sandbox tools need Pro. It also works with Cursor and Codex.

What does it cost?

Free has daily credits and no credit card. Pro is $25/month with code editing, export, GitHub and custom domains.

More for ai consultancies

  • Website Builder for AI Consultancies: Case Studies, Use Cases and Enquiries
  • Build an AI Training Course Platform for Your Consultancy's Clients

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