Actionist·OpenAI
OpenAI

OpenAI

· #3 most-used

AI text, image, audio, and vision in every agent

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OpenAI provides the world's most capable AI models — GPT-4o for text generation and reasoning, DALL-E for image creation, Whisper for audio transcription and translation, and TTS for text-to-speech. Connect OpenAI to Actionist and your agents can draft personalised emails, summarise documents, generate images, transcribe recordings, extract data from photos, moderate content, and translate multilingual audio — all integrated into the apps your team already uses.

Try OpenAI with ActionistVisit OpenAI
Average time saved
14 hours
per person · per month
≈ 2 workdays back

Eliminates manual work. Agents eliminate manual content drafting, invoice data entry, meeting note-taking, CV screening, and content moderation — replacing hours of repetitive human work with AI-generated outputs that go straight to review.

Schedule

What your OpenAI agent runs on autopilot

A week of scheduled jobs your Actionist agent will execute on your behalf.

28Scheduled jobs
7Agents at work
24/7Always on
Agents
Wed–Fri
Wed
Thu
Fri
7a
8a
9a
10a
11a
12p
1p
2p
3p
4p
5p
6p
Multi-app workflows

OpenAI × every other app you use

End-to-end automations that span multiple apps — each one a real business outcome.

6Workflows
9Apps spanned
~58 hrsSaved / week
6Personas served
For sales
Featured4 apps

Personalised outreach draft from every new CRM lead

When a new lead is added to HubSpot, the agent generates a personalised cold email opener tailored to the lead's company, role, and industry, writes it to the CRM contact note, and posts a summary to the #sales-new-leads Slack channel — so reps have a ready-to-send first paragraph within about a minute of the lead arriving.

~8 hrs

Time saved for your team — every week, on autopilot

The flow
Trigger·When a new lead is added to HubSpot
Trigger
Step 1
HubSpot
New lead added to CRM with company and role data
write
Step 2
OpenAI
Generate a Chat Completion — personalised cold email opener
write
Step 3
HubSpot
Write the generated opener to the contact note
write
Step 4
Slack
Post the lead summary and drafted opener to #sales-new-leads
write
Step 5
Google Sheets
Log the lead and draft timestamp to the outreach tracker
Result
Generate a Chat Completion — personalised cold email openerWrite the generated opener to the contact notePost the lead summary and drafted opener to #sales-new-leadsLog the lead and draft timestamp to the outreach tracker
The win
Saved per run
15 min
Runs / week
~30×
Every new lead gets a personalised opener without the rep lifting a finger
Driven bySales Agent
ROI

Savings

What your team gets back — two angles: what you stop doing manually, and what that's worth.

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

  • Sales
    60 min / week
    Manual research and writing for every lead

    Reps research each new lead on LinkedIn, open a blank email, and write a personalised opener from scratch — 10 to 15 minutes of writing before the first outreach goes out.

    Sales Agent
    0 min
    Agent drafts personalised outreach in seconds

    When a new lead arrives, the agent generates a personalised email opener using the lead's role, company, and industry — the rep has a ready-to-send first paragraph without opening a browser tab.

  • Marketing
    180 min / week
    Manual content writing and review

    Marketers write every piece of content from scratch, then read it manually for policy compliance before sharing — hours of work per piece that still rely on human recall of the content guidelines.

    Marketing Agent
    0 min
    Agent generates and safety-checks content automatically

    The agent generates blog drafts, social captions, and DALL-E images from approved briefs, then runs every piece of content through a moderation check before it reaches the editorial team.

  • Customer Support
    120 min / week
    Agent writes every reply from scratch

    Support agents read the ticket, search the knowledge base for relevant articles, and write a reply from scratch for each one — averaging 8 to 12 minutes per ticket before sending.

    Customer Support Agent
    0 min
    Agent provides a reply draft before the ticket is opened

    When a ticket arrives, the agent generates a reply draft grounded in the knowledge base and posts it as an internal note — the agent reads a ticket with the answer already drafted.

  • Human Resources
    90 min / week
    Manual CV reading and evaluation

    HR reads each PDF CV in full, manually assesses fit, and writes a summary for the hiring manager — 20 to 30 minutes per candidate before the shortlisting meeting.

    Human Resources Agent
    0 min
    Agent screens and summarises CVs before the manager looks

    When a CV is uploaded, the agent analyses it against the role requirements and writes a structured summary with skills match and red flags to the comparison sheet before any human reads the file.

  • Finance
    75 min / week
    Manual invoice data entry from images

    Finance staff open each invoice image, read the fields, and type them manually into the AP register — an error-prone process that takes 5 to 10 minutes per invoice.

    Finance Agent
    0 min
    Agent extracts invoice data from images automatically

    When an invoice image arrives in Gmail, the agent extracts all fields — vendor, amount, due date, line items — and writes them to the AP register before anyone opens the email.

  • Operations
    90 min / week
    Manual note-taking and action-item distribution

    Someone on the team takes notes during the meeting, types them up afterwards, and manually creates tasks in the project tool — 30 to 60 minutes of post-meeting admin per session.

    Operations Agent
    0 min
    Agent produces meeting minutes and tasks automatically

    When a meeting recording is saved to Google Drive, the agent transcribes it, generates structured minutes with owners and deadlines, and creates ClickUp tasks — all without a human taking a single note.

  • Legal
    120 min / week
    Manual contract reading and translation

    Legal staff read each contract in full to locate key clauses, arrange external translation for foreign-language documents, and manually log extracted terms — 1 to 3 hours per document depending on length.

    Legal Agent
    0 min
    Agent extracts and translates contract data before the review

    The agent parses each new contract for parties, obligations, and key clauses, translates any foreign-language correspondence, and writes structured data to the legal register — all before counsel opens the document.

+ 100s of other OpenAI automations
Average time saved
74 hrs / person / month
Calculator

Calculate what your team saves

Team size
10 people
Hourly rate
$25 / hr
Hours saved / week
35
Hours saved / year
1,750
Annual ROI
$43,750

Based on OpenAI's typical team usage — the visible tasks plus a few other automations the agent runs: ~3.5 hrs / person / week of admin work automated.

Connect

How to plug OpenAI into Actionist

Pick the connection method that suits your environment.

Connect using an OpenAI API key. All usage is billed directly to your OpenAI account at standard platform rates.

1
Generate your API key

Log in to platform.openai.com. Go to API Keys in the left sidebar and click Create new secret key. Give the key a name so you can identify it later.

2
Copy the key and Organisation ID

Copy the key immediately — OpenAI only shows it once. If you belong to multiple organisations, also copy your Organisation ID from the Organization Settings page.

3
Paste into Actionist and test

Paste your API Key (and optionally your Organisation ID) into the fields below and click Test connection. Actionist runs a models list call to confirm the handshake.

Credentials you'll need
API Key*
platform.openai.com → API keys → Create new secret key
Organization ID
platform.openai.com → Organization Settings → Organization ID (required if you belong to multiple organisations; leave blank otherwise)
Actions

16 actions your agent can call

Read and write operations available to your Actionist agent.

Triggers

0 events your agent can react to

Events your agent watches for, and the actions it kicks off in response.

This app has no triggers yet.
FAQs

Questions about OpenAI + Actionist

How does Actionist connect to OpenAI?
Go to the Apps tab in Actionist, find OpenAI, and click Connect. You will need an API key from the OpenAI platform. Log in to platform.openai.com, navigate to API Keys, and click Create new secret key. Copy the key and paste it into the API Key field in Actionist. If your account belongs to multiple organisations, also paste your Organization ID from the Organization Settings page. Actionist runs a test call to confirm the connection before any actions run.
How is OpenAI API usage billed when agents run it through Actionist?
OpenAI API access is billed per token (input plus output) and varies by model. GPT-4o is priced per million tokens for input and output separately; GPT-4o mini is significantly cheaper for high-volume tasks. Whisper (transcription) is billed per minute of audio. DALL-E image generation is billed per image at a fixed rate that varies by resolution. Your Actionist agent calls the API on your behalf using your own key, so all usage appears directly on your OpenAI account — Actionist does not mark up usage.
Which OpenAI models can agents use?
Yes — you choose the model for each action. For text generation and chat completions you can select GPT-4o, GPT-4o mini, o1, o3-mini, or any other model available on your account. For image generation you can select DALL-E 3 or DALL-E 2. For transcription and translation the agent uses Whisper. For audio generation the agent uses the TTS models. The model is set as a parameter when you configure the action, so different agents can use different models based on cost and capability requirements.
Can agents run multi-turn conversations with OpenAI models?
Yes. The Generate a Chat Completion and Generate a Model Response actions accept a system prompt, a user message, and optional conversation history so the agent can maintain context across a multi-turn conversation. You can also supply function definitions (tools) for the model to call, and the agent can handle the tool call / tool result loop automatically. This is how agents chain OpenAI reasoning with actions in other connected apps.
Can the agent run OpenAI's content moderation before sending text to customers?
Yes. The Classify Text for Violations action sends any text to OpenAI's moderation endpoint, which returns a set of category scores (hate, harassment, self-harm, sexual, violence, and others). Your agent can inspect the result and decide whether to pass the content through, flag it for human review, or block it entirely before it reaches customers or downstream systems. This is suitable for user-generated content pipelines, support reply drafts, and any workflow where you need a content safety gate.
How does the agent transcribe or translate audio files with OpenAI?
For transcription, the agent calls Transcribe a Recording and receives the full text transcript. For translation, the agent calls Translate a Recording and receives the transcript translated into English. Both actions accept common audio formats (mp3, mp4, mpeg, mpga, m4a, wav, webm). The audio file can be sourced from an upstream step — for example, a recording downloaded from Google Drive or a voice message from a connected phone system — and the resulting text can be passed to any downstream action.
What can the agent do with OpenAI file storage?
The Upload a File action sends a file to the OpenAI platform and returns a file ID. That ID can then be referenced in subsequent API calls — for example, to attach the file to a fine-tuning job or to use it in a batch completion request. The List Files action returns all files currently stored in your OpenAI account, and Delete a File removes a file by ID when it is no longer needed. File storage is billed separately by OpenAI for files larger than a threshold.
How does image analysis work — can the agent read text or describe photos?
The Analyze Image action sends an image URL or base64-encoded image to a vision-capable model (such as GPT-4o) and returns the model's description, analysis, or structured data extraction from the image. You can supply a prompt alongside the image to ask specific questions: extract text, describe a chart, classify a product photo, or flag a defect in a manufacturing image. The image can be fetched from a URL or passed as a file from a previous step in the agent.