Individual productivity
Drafting an email, summarising a document, preparing for a meeting. One person, one chat window - no platform needed.
Comparison
Olano vs ChatGPT for business
The short verdict: ChatGPT is a strong AI workspace for your staff, and its workspace agents now add schedules, Slack, and connectors. Olano is built for businesses that need agents working on their customer channels and operational systems: agents on WhatsApp, email, Telegram, Slack, and webhooks that respond to business events, coordinate as a team of specialists, run on the best model for each task from any provider, and live in an isolated workspace with approvals, audit history, and spending controls.
Side by side
The dimensions that decide the choice.
| Dimension | ChatGPT | Olano |
|---|---|---|
| Customer channels | Lives in the ChatGPT app, with workspace agents in Slack; built for your team, not for customers messaging you. | Agents on WhatsApp, WeChat, Lark, Slack, Discord, Telegram, email, and 15+ messaging channels, each connected in seconds, plus inbound webhooks. |
| Persistence & memory | Conversation and project memory, tied to the account that holds it. | Persistent per-agent memory across sessions, plus knowledge-base grounding over your uploaded documents. |
| Approvals & audit | Approval for sensitive agent actions, plus admin controls and compliance logs. | Graded trust levels, per-category approval gates (financial actions, external sends, more), immutable audit trail on every action. |
| Multi-agent delegation | Agents built and shared across your workspace, each set up for its own workflow. | Specialist agents that delegate to each other - 180+ specialists, 19 starter teams; delegation itself gated and logged. |
| Built-in platform | Agents run inside ChatGPT; an always-on agent elsewhere means building hosting, scheduling, secrets, and integrations yourself. | Scheduler, encrypted vault, issue tracking, agent-to-agent messaging, and MCP and A2A connections, all built in. |
| Configuration | The settings OpenAI exposes for each agent. | Every agent's model, tools, scripts, skills, memory, schedule, and permissions, visible and adjustable one by one. |
| Spend controls | Per-seat subscription, with agent usage billed in credits. | No per-seat pricing: transparent usage meter, hard spend cap agreed before launch, BYOK at no extra cost. |
| Hosting & isolation | Shared SaaS accounts, managed by your own team. | Isolated workspace per customer, hosted and managed for you; custom AWS/GCP regions available. |
| Models | OpenAI's models only. | Any model from 18+ providers - Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, open-source, and more - combined per agent and per task at the price each job deserves. |
Where ChatGPT fits
ChatGPT is a great personal assistant, and many Olano customers keep it for their own work.
One-off drafting and analysis
A pitch outline, a quick look at a spreadsheet, a paragraph to rephrase. The task starts and ends in the conversation.
General Q&A and learning
Explaining a regulation, comparing approaches, sanity-checking a plan. A general-purpose assistant is exactly the right tool.
Small teams without customer channels
If customers aren't messaging you at volume and no events need a response, shared prompting habits go a long way.
Where Olano is better
The chat-window model breaks when work arrives on customer channels, is triggered by events, touches several systems, and acts under your business name.
Operations on customer channels
Enquiries arrive on WhatsApp, Telegram, email, and SMS - at 9pm and on weekends. Olano agents answer where the customer already is - see WhatsApp AI customer service and the AI inbox assistant.
Action with control
Human-in-the-loop by design: outbound actions wait for approval by default, graded trust levels set what runs unassisted, and an immutable audit trail records every action.
A team, not one assistant
Not a chatbot - your own team of agents. Specialists delegate across 75+ built-in integrations and 450+ connector tools, so one enquiry can update the CRM, check stock, and schedule a follow-up.
The best model for every job
Combine models from any provider in one team: Claude for coding and writing, Gemini for research, Nano Banana for images, Grok, GPT, and low-cost open-source models for the volume. ChatGPT runs OpenAI's models only.
Built in, not bolted on
Scheduler, encrypted vault, issue tracking, agent-to-agent messaging, and MCP and A2A connections come with every Olano workspace. Running an always-on ChatGPT agent in another cloud means building each of those yourself.
Full control of every agent
Add tools, scripts, and skills in a few clicks, and see and adjust every agent's model, permissions, memory, schedule, conversations, and costs from one dashboard.
Every channel in seconds
Connect WhatsApp or WeChat by scanning a QR code, or Telegram, Slack, Discord, and Lark with a bot token. Your agents go live where your customers and staff already are.
Predictable spend, isolated hosting
A hard spend cap agreed before launch, a transparent usage meter, and an isolated workspace per customer, hosted and managed - nobody on your team runs infrastructure.
A WhatsApp enquiry at 9.40pm
With ChatGPT, the message waits until morning: paste into a chat, edit, reply by hand, update the CRM later. With Olano, the agent handles it on the spot:
Enquiry arrivesKnowledge-base checkReply draftedApproval gateSent on WhatsAppLogged to audit trail
A delayed order at 2am
With ChatGPT, an agent can be triggered through its API, but someone has to build and host that glue. With Olano, your store's webhook starts the work directly:
Store webhook firesStock checkedUpdate draftedApproval gateSent on WhatsAppCRM updated and logged
Every model, not one vendor's
ChatGPT gives you OpenAI's models. Olano gives you any model from any provider - 18+ of them, including Claude, OpenAI, Gemini, Grok, DeepSeek, Qwen, and open-source models - and lets agents on different models, at different prices, work together as one team: a premium model where quality matters most, an economical one for high-volume routine work.
Each agent, and each specialist it delegates to, can run a different model; an agent can switch to a cheaper model automatically as it nears its budget, and you can change its model mid-conversation without losing context. When a better model ships, you switch to it and keep everything else. Use Olano's managed models with no keys to manage, or bring your own (BYOK) at no extra cost. Prefer Claude? Olano runs Claude models too, alongside all the others.
FAQ
What would it take to run an always-on ChatGPT agent ourselves?
You would host it in another cloud and build the rest yourself: a scheduler, a secrets vault, channel integrations for WhatsApp, WeChat, Lark, and the others, agent-to-agent messaging, MCP and A2A connections, issue tracking, logging, and a way to see and control it all. Olano ships every one of those built in, with full visibility and control over each agent.
Can we keep ChatGPT if we adopt Olano?
Yes - many teams do. ChatGPT stays for individual drafting, analysis, and Q&A; Olano runs the operational side: persistent agents on customer channels, workflows with approvals and an audit trail, and scheduled tasks and proactive monitoring. It is not all-or-nothing - Olano composes with existing stacks through its 200+ MCP server library and inbound webhooks.
Does Olano use OpenAI's GPT models?
Yes, and many more. Olano routes work across 18+ LLM providers - including OpenAI, Claude (Anthropic), Google Gemini, xAI's Grok, DeepSeek, and open-source models - combined per agent and per task, so each job runs on the model that does it best at the right price. You can bring your own OpenAI key (BYOK) at no extra cost, and AI usage runs on a transparent meter with a hard spend cap agreed before launch.
How much work is it to move from ChatGPT to Olano?
Less a migration than an addition - you keep ChatGPT for personal work and add Olano for operations. Everything is quoted and approved before we build. A single managed workflow is typically live within 1-2 business days of onboarding; bigger rollouts take 1-3 weeks. Start with one workflow and expand from there.
How does the pricing model differ?
ChatGPT for teams is typically a per-seat subscription, with workspace agent usage billed in credits. Olano has no per-seat pricing: every engagement is scoped individually around the workflows, integrations, and operating volume involved, with a fixed proposal before any work begins. AI usage runs within hard spending controls agreed in advance, and BYOK is supported.
Does this comparison also apply to Claude?
Broadly, yes. Claude, like ChatGPT, is a strong AI workspace with connectors and scheduled tasks, built on one vendor's models. Olano runs Claude models too, alongside OpenAI, Gemini, Grok, and open-source models, and adds what a workspace does not: customer channels, approvals, audit history, delegation, spending controls, and managed hosting.
Related reading
Go deeper, or see the patterns in action.
Olano vs ChatGPT for business operations
The long-form article on where the chat-window model breaks.
WhatsApp AI customer service
A persistent agent on a real customer channel, with approvals before anything goes out.
AI inbox assistant
Triage, drafting, and follow-ups on a shared inbox - a common first workflow.
AI agent platform vs chatbot
Why "chatbot" is the wrong mental model for agents acting across systems.
Hosted AI agents vs DIY automation
The build-it-yourself route side by side - and how the two compose.
Olano vs Glimmer (Glints)
An AI teammate in your staff chat, compared with agents on your customer channels.
Olano vs Lindy
Self-serve credits and a shared tenant, against a managed deployment of your own.
Which side of the line are your workflows on?
Book a consultation. We'll map one workflow, show you which models fit each step, and quote before we build - live in days, not months.