You want to be running this week
Self-serve, a trial, and an agent doing something useful the same afternoon. No scoping call, no proposal, no waiting on anyone else.
Comparison
Olano vs Lindy
The short verdict: Lindy is one of the best self-serve agent builders on the market. You describe what you want in plain English, it assembles the automation, and you are running something useful the same afternoon - email triage, meeting notes, lead follow-up, CRM upkeep. It is fast, polished and cheap to start. Olano is the other trade: a system scoped, built and operated for you on an isolated deployment of your own, with approval gates, an audit trail and a hard spend cap around it. If you want to be running today, start with Lindy. If what you are deploying will act in front of customers and has to be governed and kept alive by someone other than you, that is the line.
Side by side
The dimensions that decide the choice - not model benchmarks.
| Dimension | Lindy | Olano |
|---|---|---|
| Getting started | Self-serve and immediate: sign up, describe the agent, run it. A 7-day trial covers the entry tier; the free plan was retired during 2026. | A scoping conversation first. Slower to start, and deliberately so - a single managed workflow is typically live within 1-2 business days of onboarding, bigger rollouts in 1-3 weeks. |
| Who operates it | You do. You build the agents, watch them, and fix them when a tool or a model changes. | We do. Design, integration, launch, monitoring and the months afterwards are the engagement. |
| Pricing shape | Subscription plus credits: publicly listed at $49.99/month (Plus), $99.99 (Pro) and $199.99 (Max), with each task consuming credits - roughly 1 for a simple action and 5-10+ for research or multi-step work - and overage charged at a higher rate once the allowance is gone. | No per-task credits and no per-seat pricing. Olano Cloud from $10/month for a managed deployment; Studio engagements quoted as a fixed proposal, with a hard AI spend cap agreed before launch and BYOK at no extra cost. |
| Where it runs | Shared multi-tenant infrastructure, like most self-serve platforms. | An isolated deployment per customer, hosted and managed, with custom AWS/GCP regions available or self-hosting on your own infrastructure. |
| Approvals & audit | You review agent output and can require confirmation on steps you set up; the approval policy and its record are yours to maintain. | Trust levels 0-4, per-category approval gates (financial actions, external sends and more), and an immutable audit trail on every action. |
| Customer channels | Strongest on the work around a business: email, calendar, CRM, and internal workflows. Voice is available and metered per minute. | Built for customer channels: WhatsApp, Telegram, email, Slack, SMS and 15+ messaging channels, plus inbound webhooks - agents answer customers, not only staff. |
| Multi-agent work | Agents can trigger each other, assembled by you. | An org chart of specialists - 180+ archetypes, 19 starter teams - where delegation is a first-class action, gated and logged like any other. |
| Improving over time | You edit the agent when it gets something wrong. | Cortex reads the work already done and acts on it on a cadence you set - sharpening memory, writing reusable skills and improving its own procedures, each logged and reversible, the scheduled passes behind a snapshot you can undo in one click. Fully Autonomous is on by default; a rewrite of the agent's own instructions waits for you in either mode, and switching it off queues every change for you to approve, defer or reject. |
Lindy's column reflects its publicly listed plans as summarised 3 September 2026; Lindy restructured its pricing during 2026, so confirm current tiers at lindy.ai/pricing.
Where Lindy is the better choice
For a large class of buyer, Lindy is simply the right answer, and a managed engagement would be an expensive way to get less.
It is internal work, for a small team
Inbox triage, meeting notes, follow-up drafts, CRM tidying. Low blast radius, easy to supervise, and no customer sees it if it has an off day.
The budget is a subscription
Fifty to two hundred dollars a month is a decision one person can make. A scoped engagement is not, and it should not pretend to be.
You enjoy building it
Plenty of operators genuinely do, and they get better results than any vendor would, because they know the work. If that is you, buy the tool, not the service.
Where Olano is the better choice
Self-serve platforms are optimised for the first week. The differences below only start to matter in the third month, which is unfortunately when they matter a great deal.
Customers are on the other end
An agent answering enquiries on WhatsApp under your business's name needs approval gates before anything goes out, and a record afterwards. That is product here, not your configuration discipline.
Your own environment, not a shared one
An isolated deployment per customer, in a region you choose, or on your own infrastructure - the question procurement asks first and self-serve platforms answer last.
Predictable spend, not a credit meter
Per-task credits make a busy month expensive precisely when the agent is earning, and overage bills arrive after the fact. Olano meters AI usage inside a cap agreed before launch.
Nobody on your team has to keep it alive
Models change, integrations move, a channel breaks. Operating it is the engagement, not a job quietly added to whoever built it.
About the credit meter
Credit metering is not a trick, and it is not unique to Lindy - most of the self-serve market prices this way, because it maps costs to usage fairly. The problem is a budgeting one. A task that costs one credit when you tested it can cost ten in production once it starts doing research, and the bill for that arrives at the end of the month rather than at the moment of the decision. For an internal workflow that is a manageable surprise; for a public-facing agent whose volume you do not control, it is the wrong risk in the wrong place.
Olano's answer is a hard spend cap agreed before launch, a transparent usage meter, and BYOK at no extra cost if you would rather buy tokens directly from the provider. That is not automatically cheaper - a low-volume internal agent will cost less on a $49.99 subscription than on any managed engagement, and we will say so on the call. It is more predictable, which is a different property and the one that matters when a customer channel is on the other end of it.
FAQ
Is Olano just a more expensive Lindy?
They are not the same shape. Lindy sells you a builder and you operate what you build, on shared infrastructure. Olano scopes, builds and operates a system on an isolated deployment of your own, with approvals, an audit trail and a spend cap as product features. For a solo operator automating their inbox, Lindy is better value and we would say so.
Can we start on Lindy and move later?
Plenty of businesses should. Building it yourself first is the cheapest way to learn which workflows actually matter, and that knowledge transfers - we would rather scope an engagement with someone who has already run an agent for six months. Olano also speaks MCP and takes inbound webhooks, so a mixed stack is a legitimate end state, not a migration failure.
Does Olano have a self-serve option?
Yes: Olano Cloud is a managed deployment from $10/month with unlimited agents and people, which you configure yourself. The Studio engagement is the other door, for businesses that want the workflows designed, integrated and operated for them. The platform underneath is the same.
What about security and compliance?
Isolation is the structural answer: your agents run in a deployment of their own rather than in a shared tenant, in a region you choose, with an audit trail on every action. For the Singapore data-protection questions specifically, our PDPA guide lists the eight questions worth asking any vendor - and they apply to us too.
Are the Lindy figures here current?
They were summarised on 3 September 2026 from publicly listed plans. Lindy restructured its pricing at least once during 2026 and retired its free plan, so treat these as an order of magnitude and confirm at lindy.ai/pricing before deciding anything on them.
Related reading
Other comparisons, and the patterns behind them.
Hosted AI agents vs DIY automation
Build or buy, in full - including the cases where DIY wins.
Olano vs Glimmer (Glints)
The other Singapore studio-deployed option, compared fairly.
Diary: AI agent team vs human team
One real day of operating work, priced against its human equivalent.
Olano Cloud pricing
What a managed deployment costs if you would rather start without an engagement.
Checked 3 September 2026 against the vendor's own published material: Lindy pricing. Comparisons go out of date - if we have described your product wrongly, write to support@olano.ai and we will correct this page.
Cheaper to build it yourself? Sometimes. We will tell you which.
Bring one workflow. If a self-serve builder would do it for fifty dollars a month, that is the advice you will get - and if it belongs on a governed deployment, we will map it and quote before we build.