AI Enablement for Knowledge work

Work faster with ChatGPT Work

Eliza helps business teams move from chat to real work delegeation - research, analysis, spreadhseets, slides, and internal tools.

Delegated work
last 90 days
Board memos
12
Models built
8
Campaign assets
24
Tickets automated
156

The next shift is from chat to delegation

Most teams started with AI as an assistant — ask a question, draft an email, summarize a document. That helped. But it didn't change the operating model.

The bigger shift is delegation: giving AI a goal, context, tools, and a clear output to produce. A model doesn't just answer; it builds the spreadsheet, drafts the board memo, analyzes the pipeline, or creates the internal app.

The human still decides. The work gets done differently.

chatgpt for Knowledge Work

Where it applies

Codex is not just an engineering tool.

Finance

Build and review models, variance analysis, vendor spend summaries, cash flow scenarios, month-end commentary, and board reports.

Marketing

Turn campaign goals into briefs, draft assets, build analysis, create landing-page variants, summarize performance, and package learnings for the next campaign.

Sales and GTM

Prepare account research, call briefs, proposal drafts, CRM cleanup, pipeline analysis, territory views, and follow-up workflows.

Operations

Analyze exceptions, create internal tools, prepare SOPs, reconcile messy spreadsheets, summarize tickets, and automate handoffs.

Strategy

Synthesize research, compare markets, build operating plans, create executive-ready materials, and maintain decision logs.

Better tools are not enough. Teams need new habits.

Most organizations don't get value from ChatGPT by telling everyone to "go try it." They need to pick real workflows, define what good output looks like, give the tool the right context, and create a review loop the team trusts.

This is not generic AI training. It is workflow redesign.

Habits are the difference between scattered usage and a new way of working.
Stephen Garden
CEO — Eliza
How Eliza Helps

We help teams build the habit of delegation

Step 1: Find
Find the right workflows

We identify work that is frequent, painful, context-heavy, and reviewable. Those are the best starting points.

Step 2: Set up
Set up the workspace

We help organize the files, tools, connectors, instructions, permissions, and guardrails ChatGPT needs to work safely.

Step 3: Run
Run hands-on labs

Teams bring real work. We teach them how to delegate the work, review the output, and improve the loop.

Step 4: Build
Build reusable skills

Once a workflow works, we turn it into a skill, plug-in, or agent so the next run is faster and better.

Step 5: Measure
Measure adoption and impact

We track usage, workflows delegated, artifacts produced, time saved, quality signals, and the next opportunities to scale.

Give ChatGPT real work

If your team is already using AI for drafts and summaries, the next step is to redesign the work itself.book a Codex working session.

Book your consultation