ChatGPT Consultant

The seats get bought. Two people use it every day, the rest open it twice and go back to how they worked before. Nobody built the GPT for the proposal, nobody connected the CRM, and nobody wrote down what's allowed to go in. Six months later the renewal comes up and it looks like ChatGPT didn't work.

The rollout is the job. GPTs per team, Projects with the right files, connectors to real systems, one agent doing a job end to end, training on real tasks, and a one-page policy. That's what we do in ten business days.

• ChatGPT Team or Enterprise workspace

  Seats, SSO, admin controls, and data settings done right the first time. The first three use cases go live the same week so the seats get used.

• Custom GPTs, one per repeated job

  Proposal writer loaded with your pricing rules. Client-email GPT in your voice. SOP lookup GPT over your process docs. Each one tested with the team that will use it.

• Projects with the right files

  A Project per client or per function, with the documents and instructions already in it, so nobody re-uploads the same PDF forty times.

• Connectors and actions

  ChatGPT reading your CRM, calendar, Drive or SharePoint, and ticketing, and writing back with a person approving anything that changes a record.

• Agents on OpenAI models

  Lead intake, CRM upkeep, document processing, support triage. Built on the API, not in the chat window, so they run without anyone typing.

• Codex for engineering teams

  Repo conventions, review workflow, and guardrails so developers ship faster with Codex. The engineering twin of our Claude Code work.

The question every ChatGPT rollout hits in week one. Short version: a GPT helps a person do a job, an agent does the job.

Owners and ops leads at companies from a handful of people to a few hundred who want ChatGPT doing real work across sales, operations, support, and finance. Engineering leads adopting Codex who want conventions on day one. Agencies and consultancies who need a build partner for their own clients. Professional services, real estate, insurance, logistics, healthcare administration, and e-commerce show up most.

1. 01

   Strategy call (free)

   Thirty minutes on what your team does all day. We pick the three ChatGPT use cases with the most hours behind them.

2. 02

   Rollout sprint (10 business days)

   Workspace, GPTs, connectors, and the first agent, built inside your accounts. Training sessions land in the same two weeks.

3. 03

   Ongoing partnership (optional)

   Office hours, new GPTs and agents as the business changes, and someone watching what breaks when OpenAI ships something new.

What does a ChatGPT consultant do?

Gets ChatGPT working inside a business instead of sitting in a browser tab. Workspace setup, custom GPTs and Projects for each team, connectors to your tools, agents where a job can run on its own, training, and the policy that keeps data where it belongs.

Are you Chicago-based?

Yes. AlphaFlow Consulting is based in the West Loop in Chicago, founder-led by Neeraj Chemburkar. In-person sessions anywhere in Chicago, remote clients across the US and Canada.

Do you only work with ChatGPT?

No. We build with ChatGPT and OpenAI models, Codex, Claude, Claude Code, and Google Gemini and pick per job. This page is for teams that have chosen ChatGPT or are deciding on it. The client owns the result either way.

Custom GPTs or a real agent: which do we need?

A custom GPT is right when a person is in the loop every time. An agent is right when the job should run without anyone typing. Most rollouts start with three GPTs and one agent, and we tell you on the call which is which.

How long does a ChatGPT rollout take?

Ten business days for the standard sprint: workspace live, first GPTs and connectors in place, first agent running, training sessions done.

What does a ChatGPT consultant cost?

Fixed quote after a free strategy call. A five-person rollout with one agent and a company-wide rollout with training for six teams are different scopes, so we price the actual work.

Do we need ChatGPT Enterprise, or is Team enough?

Team is enough for most companies under a couple hundred people. Enterprise adds SSO, admin analytics, and larger limits. We tell you on the call which fits and set up whichever you pick.