Cllr vs Giga AI
Short answer: Giga AI is an inbound customer support platform. Its agents wait for a customer to get in touch, resolve the issue, and success is measured in deflection and resolution rate. Cllr AI is a business automation platform. It includes a customer support suite, and it also acts on events in your systems when nobody has written in: a failed payment, a stalled onboarding, an order exception. Each workflow runs end to end and its outcome is written back to your system of record.
The question is scope. Giga goes deep on one function. Cllr runs several workflows from one platform, support among them.
At a glance
| Giga AI | Cllr | |
|---|---|---|
| Category | Customer support automation | Business automation platform |
| Starts from | A ticket, chat or inbound call | An inbound message, or an event in your CRM, billing, support or operations systems |
| Reads from | Help centre, policies, support history | Billing, payments, CRM, support desk, product usage, data warehouse |
| Scope | Inbound support | Support, revenue recovery, onboarding, order operations and more |
| Success metric | Deflection and resolution rate | The business result of each workflow, written back to your systems |
| Time horizon | One session | Until the workflow reaches an outcome |
| Buyer | Support and CX | Operations, revenue, support and CX leaders |
What Giga AI is genuinely good at
Giga is aimed at enterprise support at scale and their published numbers are aggressive: a 98% deflection rate, 90% resolution accuracy in their DoorDash case study, support for 99 languages and a two-week implementation timeline. They cite DoorDash, Postman and Capital.com as customers, and hold SOC 2 Type II, ISO 42001 and ISO 27001 certifications. Their Agent Canvas gives teams a way to design agent policy and workflows without shipping code for every change.
If inbound support volume is your single largest problem, that is a real and expensive problem, and Giga is built squarely on it.
Where the two differ
What starts the work. An inbound agent is excellent with the customer standing at your door. It cannot help the customer whose card declined last Tuesday and who has decided not to think about it; that customer will never open a chat window. Cllr starts from either: a message that arrives, or an event in your systems that means something needs doing.
What the agent reads. Giga's agents are grounded in support context: policies, help articles, ticket history. Cllr's are grounded in the account itself: what the customer pays, what failed, what they ordered, where their onboarding stands. "I can see the payment on the 14th didn't go through, and I can send you a link to fix it now" needs billing data, not a help article.
Where the work ends. A support session ends when the customer is answered. A Cllr workflow ends when the business outcome is recorded: the refund issued, the payment collected, the account verified, the CRM updated.
When to choose which
Choose Giga AI if inbound support volume is the constraint and support headcount is the cost you are trying to bend, and you want a platform dedicated to that one job.
Choose Cllr if you want support and the operations around it run from one platform: the same events, the same system integrations, and one audit trail across workflows.
Run both if you have already invested in Giga for inbound support. Cllr connects to your existing support desk and runs the workflows Giga does not cover, such as revenue recovery, onboarding and order operations.
What Cllr is not
Cllr is not a help-centre or knowledge-base product, and it does not replace your support desk; it works alongside it. If your only requirement is deflecting a very high volume of inbound tickets, a dedicated support platform such as Giga is the more focused choice.
Related
- Cllr vs Bland AI: voice infrastructure versus the platform that runs the workflow
- Cllr vs 11x.ai: AI sales workers for new pipeline versus automation for the business you already run
- What Cllr does
Competitor details above reflect Giga AI's publicly published material as of July 2026. Vendors change fast; verify current capabilities and certifications directly before making a decision.
Start with the workflow that costs you most
Bring one process with a clear owner and a measurable baseline. We map it, test it against representative cases, and hold it to the KPI you set.