Guide
Decimal vs Chatbase: Why Choose Decimal for B2B Support
Answer common questions, investigate the tickets that remain, and bring findings back to the support workflow your team already uses.

Choose Decimal when you want AI to take on the work behind B2B customer support: answering common questions, understanding what happened to a particular customer, investigating the product, and preparing a response your team can stand behind. For teams whose support work regularly crosses those boundaries, Decimal is our recommendation over Chatbase.
The reason is the workflow. Decimal connects customer questions to the code, logs, documentation, and tools behind your product. It produces an investigation for the team and a response for the customer. Published deployments show that work happening inside existing support operations, with people reviewing findings where they already handle tickets. How Decimal works
This is Decimal's recommendation, supported by our product documentation and published customer stories. The customer results below describe their deployments; they are not head-to-head performance tests against Chatbase. Product documentation was reviewed on October 16, 2026.
Handle the routine questions and the work behind the difficult ones
A support queue contains both repeat questions and cases that need someone to understand the customer's situation. Automating the first group matters. So does helping the team that owns everything left in the queue.
Decimal's chat widget answers questions from public knowledge and can route unresolved conversations into a configured ticketing system. For processes that need a consistent sequence of questions and decisions, Decimal also offers workspace-enabled Policies with knowledge search and escalation steps. Chat widget · Policies
Granola's published case study reports that Decimal resolves 70% of common questions in chat before they become tickets. Its deployment also uses Decimal to investigate issues arriving in Plain. Granola's support workflow
This makes Decimal relevant to the whole support operation. Common questions get an answer; the team can spend its attention on cases that need judgment, customer communication, or a product fix, with the investigation available to inform that work.
Give support the investigation before it starts from scratch
Granola's missing-transcript example shows why this matters. The same customer-visible symptom can come from a transcription failure, a device problem, or missing meeting audio. Resolving the ticket requires finding what happened for that user.
In Granola's deployed workflow, a ticket arrives in Plain. Decimal retrieves user context through custom APIs, examines CloudWatch logs and relevant code, and checks Incident.io. It places an investigation and proposed response in a private note. The support engineer reviews the findings and replies. Read the published workflow
The operational change is concrete: the person opening the ticket has findings to review. The initial work of collecting context, tracing behavior, and assembling an explanation has already happened. That gives support a much better starting point for the customer conversation.
Decimal's ticket interface separates the internal investigation from the customer response and exposes the supporting sources. Your team can examine code references, articles, and logs, then add context and rerun the investigation when needed. This connects the answer to evidence a reviewer can inspect. Reviewing Decimal's investigation
Keep your support team in the workflow it already uses
Resilinc provides another real operating model. It deployed Decimal across its ticket volume in Freshdesk. Decimal adds private notes explaining product behavior, potential causes, workarounds, and next steps, and follows up as new information arrives. Support continues using its existing processes, tags, and triage flows. Resilinc's deployment
The case study describes support validating expected behavior against the code and bringing better-vetted issues to Product or Engineering. That changes the escalation: the receiving team gets a case that has already been investigated, and support has more context for deciding what needs engineering attention.
Decimal gives us the clarity we used to rely on Engineering for. The team now feels confident using Decimal's answers directly with customers.
Manoj Khaire, Manager of Customer Support Engineering, Resilinc
For a B2B team with an established helpdesk, this is a compelling reason to choose Decimal: add product understanding to the place where support already works. You can improve how a ticket gets resolved while preserving the team's working queue and ownership model. Our helpdesk-versus-support-layer guide explains that deployment decision.
Turn resolved work into knowledge the team can reuse
A useful investigation also produces knowledge: an explanation of product behavior, a workaround, or a missing instruction. Capturing that knowledge gives the next support conversation a better starting point.
Decimal's knowledge base can draw articles from ticket resolutions, connected documentation, and code changes. Your team can review articles and control public or private visibility, so internal investigation details do not have to become customer-facing material. Knowledge base · Article review and visibility
Resilinc's case study describes Decimal drafting knowledge articles after tickets close, prioritizing information that was not already captured. This extends the value of the ticket work: the findings can help the team answer future questions instead of remaining buried in one conversation. Resilinc's knowledge workflow
What matters in the comparison with Chatbase
Chatbase's current documentation covers content sources, authenticated user context, custom API actions, multi-step Procedures, a helpdesk, and human takeover. It also generates draft replies for human review using conversation context and connected sources. Chatbase actions · Procedures · AI draft replies
For the B2B buyer, the deciding issue is how those capabilities translate into completed support work. An API lookup can return valuable customer data. A draft can help someone compose a reply. The product still needs to establish what happened, connect the relevant evidence, and give the team a useful explanation of the customer's issue.
Chatbase documents custom actions as calls to endpoints you configure, with selected inputs, response fields, and data access. To evaluate it for support that needs product investigation, ask what evidence your implementation can collect and how it turns that evidence into a diagnosis and reply. Chatbase custom actions
Decimal's case is more concrete for teams that need product investigation in their support operation: the published customer workflows above show connected evidence becoming findings and a response inside the working ticket queue. That is the capability to buy when your team spends time gathering context, explaining account-specific behavior, and bringing engineering into cases it cannot yet diagnose.
Decimal still needs the right sources, permissions, and delivery settings. Configure where findings go, what stays internal, and how responses reach customers. Those decisions are part of deploying the workflow well; the customer examples do not imply that every workspace starts with the same integrations or automation enabled.
Our recommendation: choose Decimal to do more of the support work
For B2B support teams that need to understand the product behind a customer question, choose Decimal. The value is the combination: routine answers, product investigation, a response grounded in the findings, and knowledge your team can reuse. Its published deployments show those capabilities contributing inside existing support operations.
That is a stronger basis for this buying decision than treating both products as interchangeable collections of chat features. Prioritize the work your team needs taken off its plate: collecting evidence, diagnosing behavior, preparing the reply, and preserving what was learned. Decimal is built around that work.
Talk to us about the queue your team already owns. We can walk through the relevant knowledge, product sources, and ticketing workflow, and show how Decimal's answers and investigations fit the way your team serves customers.
See Decimal work on your support queue