Individual productivity
Drafting an email, summarising a document, preparing for a meeting. One person, one chat window — no platform needed.
Comparison
The short verdict: ChatGPT is a strong general-purpose AI workspace with connectors and scheduled tasks — often all an individual needs. Olano is designed for businesses that need persistent agents deployed across customer channels and operational systems: agents on WhatsApp, email, Telegram, Slack, and webhooks that respond to business events, coordinate across specialists, and run in a private, isolated workspace with approvals, audit history, and spending controls.
Seven dimensions that decide the choice — not model benchmarks.
| Dimension | ChatGPT | Olano |
|---|---|---|
| Customer channels | Lives in the chat app and browser; customers don't message it. | Agents deployed on WhatsApp, Telegram, email, Slack, and 15+ messaging channels, 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 | You review each output manually before acting on it. | Trust levels 0–4, per-category approval gates (financial actions, external sends, more), immutable audit trail on every action. |
| Multi-agent delegation | A single assistant per conversation. | Specialist agents that delegate to each other — 180+ specialists, 19 starter teams; delegation itself gated and logged. |
| Spend controls | Per-seat subscription. | 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. | Private, isolated workspace per customer, hosted and managed for you; custom AWS/GCP regions available. |
| Models | OpenAI's models. | Routes across 18+ providers — including OpenAI, Claude (Anthropic), Google Gemini, and DeepSeek — mixed per agent. |
For plenty of work, ChatGPT alone is the right answer — many Olano customers keep a personal ChatGPT subscription.
Drafting an email, summarising a document, preparing for a meeting. One person, one chat window — no platform needed.
A pitch outline, a quick look at a spreadsheet, a paragraph to rephrase. The task starts and ends in the conversation.
Explaining a regulation, comparing approaches, sanity-checking a plan. A general-purpose assistant is exactly the right tool.
If customers aren't messaging you at volume and no events need a response, shared prompting habits go a long way.
The chat-window model breaks when work arrives on customer channels, is triggered by events, touches several systems, and acts under your business name.
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.
Human-in-the-loop by design: outbound actions wait for approval by default, trust levels 0–4 set what runs unassisted, and an immutable audit trail records every action.
Not a chatbot — a private 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.
A hard spend cap agreed before launch, a transparent usage meter, and a private, isolated workspace per customer, hosted and managed — nobody on your team runs infrastructure.
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:
With ChatGPT: export data, upload to a chat, prompt, format, post. With Olano, scheduled tasks and proactive monitoring run it before standup:
Olano does not have a smarter model than ChatGPT. It routes to the same frontier models — OpenAI's among them — across 18+ providers, mixed per agent; you can even bring your own OpenAI key (BYOK) at no extra cost. What you're buying is the operational layer, not the model.
The same goes for Claude: likewise a strong general-purpose AI workspace with connectors and scheduled tasks — and Olano routes to Claude models too. Whichever assistant your team prefers, the question is the same: does your AI work live in a chat window, or on your business's channels and systems, with approvals and controls around it?
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.
Yes. Olano routes work across 18+ LLM providers — including OpenAI, Claude (Anthropic), Google Gemini, and DeepSeek — mixed per agent. 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.
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.
ChatGPT for teams is typically a per-seat subscription. Olano has no per-seat pricing: the Founding Partner Pilot is S$499 monthly base for one fully managed workflow, and the Growth Workspace starts from S$1,499/month. AI usage runs on a transparent meter with a hard spend cap agreed before launch, BYOK is supported, and there is a 30-day money-back guarantee.
Broadly, yes. Claude, like ChatGPT, is a strong general-purpose AI workspace with connectors and scheduled tasks. Olano routes to Claude models too, so the comparison is about the operational layer, not model quality: customer channels, approvals, audit history, delegation, spending controls, and managed hosting.
Go deeper, or see the patterns in action.
The long-form article on where the chat-window model breaks.
A persistent agent on a real customer channel, with approvals before anything goes out.
Triage, drafting, and follow-ups on a shared inbox — a common first workflow.
Why "chatbot" is the wrong mental model for agents acting across systems.
The build-it-yourself route compared honestly — including when DIY is right.
Book a free 30-minute AI assessment. We'll map one workflow, tell you plainly if ChatGPT alone would do, and quote before we build — live in days, not months.