Best AI agents for customer support
The honest shortlist: Intercom Fin, Zendesk AI, Decagon, Sierra and Ada — what each one is, who it fits, and when a custom-built agent beats them all.
- Intercom Fin
- Zendesk AI
- Decagon
- Sierra
- Ada
Clay, Apollo, 11x and Artisan — the honest read on AI outbound, and why the data and the playbook matter more than the agent.
The "AI SDR" category is loud and the results are hard to verify from the outside. What is verifiable is what each tool actually is: a data layer, an engagement suite, or a turnkey outbound agent. Rank them on that, and the decision gets easier.
a data-enrichment and outbound platform that builds targeted prospect lists and uses AI to personalise outreach.
a sales intelligence and engagement platform with a large contact database and AI-assisted sequences.
11x builds AI sales development reps — "digital workers" that run outbound sequences.
Artisan sells AI employees, starting with Ava, an AI business development rep for outbound.
An editorial shortlist, ordered by fit for the common case — not a benchmark and not a paid placement. We only describe what each tool verifiably is and who it tends to fit. We deliberately do not repeat vendor-reported win rates or pipeline numbers, because we cannot verify them; where those numbers matter, ask the vendor for references and a pilot.
The honest read on AI SDRs is that they are only as good as the data and playbook behind them. BuildHaus builds the custom outbound agent when you need it wired into your CRM, your ICP data and your compliance rules — on Workbench, auditable, and handed over to your team. For the rest, the tools above are a fine place to start, and we will say so.
Start with the data layer: if your lists are weak, no AI rep fixes that, so Clay or Apollo comes first. Once the data is right, 11x or Artisan is worth a bounded pilot. When the whole motion needs to live inside your systems and your compliance, that is the custom build — and the honest upgrade path is us.
The honest shortlist: Intercom Fin, Zendesk AI, Decagon, Sierra and Ada — what each one is, who it fits, and when a custom-built agent beats them all.
Rossum, Instabase, Nanonets, Base64.ai and AWS Textract — what each does, who it fits, and when extraction is only half the job.
Zapier, n8n, Make and UiPath — where no-code automation wins, and where judgment-heavy back-office work needs a custom agent.
$ book --type discovery --duration 30m --cost $0
Bring the problem, the half-built prototype, or just the hunch that agents could change how you work. We’ll tell you straight what’s worth building — and what isn’t.
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