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NFCG

You already pay for the tools. AI can connect them.

NFCG sets up Claude, ChatGPT or Copilot inside the software your business already runs, so information is entered once, first drafts come back close to finished, and nothing runs on its own until a person has approved it.

Built inside our own businesses first, and signed off by a person before any of it runs by itself.

The tools are there. The work still gets done twice.

Most businesses run on several separate tools: an AI subscription, a CRM, accounting, project software and email. Each one is set up on its own, so the same meeting gets typed into three of them. AI can connect those tools, so information is entered once and reaches the others.

Entered three times.

The same job, customer or meeting typed into the CRM, the project tool and the accounting system by hand.

Started from blank.

Estimates, proposals and emails written fresh every time, by the most experienced person in the office.

AI for show.

Seats paid for, used for summaries, trusted for nothing that goes to a customer.

In a 2026 survey of enterprise respondents by WRITER and Workplace Intelligence, 55% called their company's AI rollout a chaotic free-for-all and 29% reported a significant return from generative AI. Source: WRITER and Workplace Intelligence, 2026 AI adoption in the enterprise survey (opens in a new tab).

What we set up.

We work inside the tools you have. Nothing is replaced.

Your AI, configured.

Claude, ChatGPT or Copilot given your rules, your formats and your documents, so a first draft comes back close to done.

Example: An estimate drafted in minutes from real cost and code data, with the scope broken out, material and labor estimated and marked for a person to verify, and the governing codes applied. The AI does the first pass, then it is checked by a person: the estimator adjusts a draft instead of building from a blank sheet.

Your tools, connected.

Email, calendar, files, accounting, project software and CRM read by the assistant, with write access granted one job at a time.

Example: A meeting transcript filed into your preferred project management tool as a project update, with the next agenda drafted from the open items.

A person in the loop.

Drafts wait for a named approver. A job runs on its own only after that person has approved it in a pilot, and the record shows what it rested on.

Example: Every SOP the estimating toolkit drafts is finished and signed off by a person before the team works from it.

How it works, step by step.

Why NFCG.

Tried on real work first.

Each setup runs on real work in real companies, our own businesses among them, before we roll it out at yours. What a busy office will not put up with shows up there, and we fix it before it reaches you.

You keep the final call.

The assistant starts read-only, gets write access one job at a time, and runs nothing by itself until a named person has approved it. That holds on every engagement.

We tell you which AI does what.

We work across Anthropic Claude, OpenAI ChatGPT, Google Gemini, Microsoft Copilot and Perplexity. For your setup, we tell you which tool handles each job, where it runs, and what it can reach.

Which assistant fits which team

Two setups, in plain words.

Every meeting is filed into the project management platform.

Meeting notes lived in transcripts nobody re-read, and project records lagged the conversation.

Each transcript is summarized in trade terms, filed to the project management platform and synced to a Monday.com board, and the next agenda is drafted from the open items.

Read the case study: Meeting-to-project-management automation

Estimates that took a working session now take minutes.

Estimating pulled a senior person off the floor for an afternoon per bid.

An AI toolkit drafts estimates from cost and code data, with the scope broken out, material and labor estimated and marked for the estimator to verify, and the governing codes applied, so the estimator checks and adjusts a draft instead of starting from blank. It also answers code questions with the citation and writes SOPs.

Read the case study: Estimating and SOP automation

All case studies

Three ways to start.

Every engagement starts with a readiness check, included.

For one operator

Individual Seat

You already have capable AI. This sets up the environment around it, so it gives you the output you want in fewer steps.

  • Your environment, configured
  • An identity brief in your voice
  • A guide to run it yourself
For a growing team

Company Build

The full setup across your business, with a shared library so every seat starts from what already works.

  • A brief per workstream
  • Role-based assistants
  • Your tools connected
  • A pilot on live work
For the long run

Managed Retainer

Everything in Company Build, kept current on a schedule so quality does not drift. Every change is reviewed, approved, and recorded.

  • Scheduled reviews
  • KPIs tracked over time
  • Auditable upkeep without a rebuild

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Start with a readiness check.

A few questions about how work moves through your business, and a plain write-up back from a person on our team. Included with every engagement, and free on its own.

Free, with no lock-in and no sales script.

What you get

  • A read on how your tools and work run today
  • The tier and connectors that fit
  • Where AI would pay off first, and what to leave alone