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Day.ai vs Ahoy
Day.ai is built around a conversation-first context graph: email, meetings, and Slack ingested into customer memory with no manual logging. In April 2026 they repositioned around "Customer Memory for Agents" - the memory layer that other AI agents draw from - priced per agent rather than per seat.
Day.ai is becoming memory infrastructure: the system that remembers everything so agents can use it. Ahoy is a CRM you sell from: agents monitor your pipeline, prepare the next action, and wait for your one-tap approval. Memory versus motion - most CRMs were built to remember; Ahoy was built to act.
Who should pick which?
Choose Day.ai if…
- You are building an agent stack and need customer memory other agents (Claude included) can draw from
- A conversation-first context graph matches how your team works
- You want many read-only teammates - free users are included at every paid tier
- You already run Gong and want their integration path
Choose Ahoy if…
- You want a working CRM - pipeline, plans, roles, and approvals - not a memory layer to build on
- You run a revenue team, founder-led through mid-market, that needs roles, permissions, and pipeline structure
- You want call intelligence, enrichment, and unlimited agent actions included from the entry tier
- You want the agent to propose the next move, with one tap between signal and action
How do Day.ai and Ahoy compare on features?
| Day.ai | Ahoy | |
|---|---|---|
| Built to | Remember - customer memory and context for agents | Act - a CRM whose agents prepare and execute next steps |
| Automatic data capture | Email, meeting transcripts, and Slack into a context graph | Emails, calls, and meetings captured; records updated automatically |
| Meeting recording | Native, foundational feature | Included from Startup |
| Agent model | Background assistants - drafts, briefings, at-risk detection | AI-prepared tasks, one-tap approval, guardrails by default |
| Pipeline management | Present, in service of the memory layer | Core - next best action, deal drift detection, pipeline hygiene |
| Agent interoperability | Positioned as memory for external agents (MCP-style access) | Gmail, Calendar, Slack, Meet built in |
| Configurable data model | Context graph; schema follows conversations | Fully configurable; custom objects on Pro |
| Product direction | Repositioned April 2026 from CRM toward agent memory | AI-native CRM, consistently |
| Availability | Generally available | Early access waitlist, or request a demo |
How do pricing and packaging compare?
| Day.ai | Ahoy | |
|---|---|---|
| Pricing model | Per-agent - "pay for agents, not seats"; free users included at every paid tier | Per-seat, billed monthly or annually - request a demo |
| Published tiers | Free $0 · Turbo $30 · Professional $75 · Executive $250 per agent/mo (annual and volume discounts) | Request a demo |
| Minimum | Each workspace requires at least one Professional or Executive agent | One seat |
| AI costs | Per-agent price is the AI cost; automated skill slots per tier (2/5/10) | Included, unlimited - never credit-metered |
| Trial | Free tier; self-serve at day.ai | Early access via waitlist, or request a demo |
Day.ai details are from their public pages, June 2026. Check their site for current pricing.
Why do teams switch?
Memory is the input; motion is the output
A context graph that remembers every conversation is genuinely useful - and it is still a system of record. The question that closes deals is what to do next. Ahoy's agents read the same signals and come back with the follow-up drafted, the task prepared, the update queued. You approve, and it moves.
A CRM that stays a CRM
Day.ai's pivot toward agent-memory infrastructure may prove right about where the market goes, but it means the product's center of gravity is shifting under its users. Ahoy's direction is fixed: an AI-native CRM for revenue teams from early stage through mid-market, with the pipeline as the organizing object.
Built for the team that sells
Day.ai's new center of gravity is infrastructure - memory that other agents draw from, which matters most to teams building an agent stack. Ahoy's center is the revenue team, founder-led through mid-market: connect Gmail, Calendar, Slack, and Meet, and the agents start preparing follow-ups and catching deal drift the same week. No stack to assemble first.
Frequently asked questions
Is Ahoy a good Day.ai alternative?
If you evaluated Day.ai as a CRM, yes - Ahoy covers automatic capture and meeting intelligence and adds a pipeline-first agent model with one-tap approval. If what you actually need is memory infrastructure for a broader agent stack, Day.ai's new positioning targets that directly and Ahoy does not.
What does Day.ai cost?
Day.ai prices per agent rather than per seat: Free, Turbo at $30, Professional at $75, and Executive at $250 per agent per month, with annual and volume discounts, free users included at every paid tier, and each workspace requiring at least one Professional or Executive agent. Ahoy is priced per seat, billed monthly or annually, with AI usage included and unlimited - request a demo for current pricing.
How are the two products' AI approaches different?
Day.ai's assistants work in the background from conversation memory - drafting follow-ups, flagging quiet deals, preparing briefings. Ahoy's agents are organized around the pipeline: they watch event signals, reason about the next best action, and prepare it for your approval. Human-in-the-loop is the default in Ahoy, not a configuration.
Didn't Day.ai stop being a CRM?
Their April 2026 announcement repositioned the product as "Customer Memory for Agents" - the memory layer agents draw from. The CRM capabilities remain, but the stated direction is infrastructure for agents rather than the selling workflow itself.
Can I migrate from Day.ai to Ahoy?
Yes. Contacts, companies, deals, and conversation history come with you, and the Ahoy team works through migration during onboarding. Request a demo and we will walk through it.
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