Close CRM‘s Chloe is an AI sales agent built directly into the CRM. Close CRM now presents Chloe Ai Sales Agent as available across its plans. Chloe can engage supported leads through voice, qualify prospects, book meetings, enrich records and update CRM data. The opportunity is significant, but only when the surrounding sales process, consent, workflow logic, human handoff and reporting are designed properly.
Most sales teams do not lose opportunities because nobody cares. They lose them because response, follow-up and re-engagement depend on people having more time than they actually have. New leads wait. Older opportunities sit untouched. Reps prioritise active deals and admin gets pushed to the end of the day. CRM records describe what happened yesterday instead of helping the team decide what should happen next.
Close CRM has now moved directly into that gap. On 3 June 2026, Close CRM released Chloe Ai Sales Agent, its AI sales teammate built into Close CRM. Close now states that Chloe is included across its plans, while the Help Centre specifies that the Voice Agent currently calls supported contact phone numbers. Close CRM reports that, during beta testing with 238 businesses, Chloe Ai Sales Agent made 780,915 calls, reached 104,251 real prospects and customers, and completed more than 6,424 hours of conversations. These are Close-reported usage figures, not universal outcome benchmarks, but they show that the launch is no longer a speculative feature announcement.
For sales-led organisations, this changes the CRM conversation. A CRM is no longer only the place where sales activity is stored and measured. With Chloe Ai Sales Agent, Close CRM is positioning the CRM as a system able to act: engaging appropriate leads, progressing qualification, capturing outcomes and placing human sellers into the conversations where their judgement matters most.
Close CRM has now moved directly into that gap. On 3 June 2026, Close CRM released Chloe Ai Sales Agent, its AI sales teammate built into Close CRM. Close now states that Chloe is included across its plans, while the Help Centre specifies that the Voice Agent currently calls supported contact phone numbers. Close CRM reports that, during beta testing with 238 businesses, Chloe Ai Sales Agent made 780,915 calls, reached 104,251 real prospects and customers, and completed more than 6,424 hours of conversations. These are Close-reported usage figures, not universal outcome benchmarks, but they show that the launch is no longer a speculative feature announcement.
For sales-led organisations, this changes the CRM conversation. A CRM is no longer only the place where sales activity is stored and measured. With Chloe Ai Sales Agent, Close CRM is positioning the CRM as a system able to act: engaging appropriate leads, progressing qualification, capturing outcomes and placing human sellers into the conversations where their judgement matters most.
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What is Chloe, the Close CRM AI sales agent?
Chloe is Close CRM‘s built-in AI sales agent. According to Close CRM, Chloe Ai Sales Agent can make outbound lead calls, conduct qualification conversations, answer questions, book meetings, enrich customer data, update CRM records and help teams interact with their pipeline through Chloe Chat. Because the agent sits inside Close CRM rather than being added through a separate external voice platform, the relevant lead, activity and pipeline context remains inside the sales CRM environment.
That distinction matters. When AI calling sits outside the CRM, the business has to connect data, map fields, manage outcomes, reconcile activity and control workflow errors across multiple systems. A native agent reduces part of that integration problem. It does not remove the need for sales process design, data governance or human oversight.
That distinction matters. When AI calling sits outside the CRM, the business has to connect data, map fields, manage outcomes, reconcile activity and control workflow errors across multiple systems. A native agent reduces part of that integration problem. It does not remove the need for sales process design, data governance or human oversight.
| Chloe capability stated by Close | Commercial use | Implementation question leadership must answer |
|---|---|---|
| Outbound lead conversations | Increase coverage of eligible leads without relying only on rep capacity. | Which leads can and should be contacted, and under what permission rules? |
| Qualification conversations | Collect relevant information before a human salesperson commits time. | What defines a qualified lead and which questions must be handled by a person? |
| Meeting booking | Move suitable conversations into calendars promptly. | Who should receive meetings, with what routing and availability rules? |
| CRM record updates and enrichment | Reduce manual logging and improve visible context. | Which fields are trusted, auditable and used for decisions or reporting? |
| Chloe Chat and pipeline guidance | Help users interrogate pipeline activity and next actions. | Is the underlying CRM data structured well enough for reliable guidance? |
Why Chloe Ai sales agent matters.
Sales capacity is a systems problem.
The obvious interpretation is that Chloe Ai Sales Agent is about reducing sales workload. That is only part of the point. For founder-led and MD-led B2B organisations, the deeper issue is that pipeline movement often depends on fragile manual behaviour. A sales process may be logically sound on paper and still fail because the team cannot respond fast enough, revisit enough dormant opportunities or maintain the data needed to manage performance.
This is where an AI sales agent can matter commercially. It can support more consistent execution across a defined segment of the pipeline. However, it will not repair an undefined ICP, weak qualification, poor positioning, unreliable lead permissions, badly designed pipeline stages or a sales handoff nobody owns.
At b10, we view Chloe Ai Sales Agent as an implementation capability within a commercial system, not a shortcut around that system. The question is not: “How quickly can we turn on AI calling?” The better question is: “Where can AI-led sales activity create controlled, measurable revenue movement without compromising customer trust, data quality or sales focus?”
This is where an AI sales agent can matter commercially. It can support more consistent execution across a defined segment of the pipeline. However, it will not repair an undefined ICP, weak qualification, poor positioning, unreliable lead permissions, badly designed pipeline stages or a sales handoff nobody owns.
At b10, we view Chloe Ai Sales Agent as an implementation capability within a commercial system, not a shortcut around that system. The question is not: “How quickly can we turn on AI calling?” The better question is: “Where can AI-led sales activity create controlled, measurable revenue movement without compromising customer trust, data quality or sales focus?”
Close CRM Chloe.
Launch facts sales leaders should know.
238.
Businesses involved in beta, as reported by Close
780,915.
Calls made during beta, as reported by Close
104,251.
Real prospects and customers reached, as reported by Close
6,424+.
Conversation hours completed during beta, reported by Close
Close CRM‘s public pricing page also states that access to Chloe Ai Sales Agent is included on all Close CRM plans, with usage charged through AI credits and telephony, and a base of AI credits included monthly on each plan. Pricing and entitlement should be checked at the point of purchase because software pricing and feature eligibility can change.
Chloe capability, usage rules, supported calling regions and pricing can change as Close CRM develops the product. Treat the article as a strategic and implementation guide, then verify the live Close CRM documentation before activating a client workflow or making market-specific claims.
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During checkout, use code CHLOEPARTNER30 for 30% off for three months. Offer is good until June 30, 2026, for all new customers.
Chloe Ai agent versus the old CRM model.
Traditional CRM implementation has often been treated as a recording exercise: create a pipeline, import contacts, assign tasks and ask the sales team to keep the system updated. That can improve visibility, but only if activity happens and the data remains current.
Chloe Ai Sales Agent points to a different operating model. Close CRM is describing a CRM that can initiate specified activity, capture what happened and give salespeople usable context. That can strengthen sales execution, particularly where an organisation has opted-in leads or dormant opportunities it does not have the human capacity to cover consistently.
Chloe Ai Sales Agent points to a different operating model. Close CRM is describing a CRM that can initiate specified activity, capture what happened and give salespeople usable context. That can strengthen sales execution, particularly where an organisation has opted-in leads or dormant opportunities it does not have the human capacity to cover consistently.
| Approach | What it solves well | Where it fails without design | Best-fit use |
|---|---|---|---|
| Human-only follow-up | Complex judgement, relationships, negotiation and high-stakes conversations. | Capacity limits cause delays and inconsistent coverage. | Qualified, strategic and commercially complex opportunities. |
| Separate AI caller connected to CRM | May automate volume across existing platforms. | Integration, data sync, field mapping and accountability can add friction. | Teams committed to another CRM with integration capability and governance. |
| Chloe inside Close CRM | Native sales activity, qualification, booking and CRM context within one platform. | Workflow design, poor eligibility controls or weak handoff still creates risk. | Close users or suitable migrators with eligible lead calling use cases. |
Where Chloe Ai agent is most commercially useful.
A strong AI sales agent use case is not defined by the highest possible calling volume. It is defined by a repeatable conversation, an appropriate contact basis, a clear outcome and a human next step when value or complexity rises.
Responding to new inbound interest.
A buyer submits a form or otherwise signals interest. The commercial risk is not that the business has no lead; it is that the lead waits while the team is occupied elsewhere. Chloe Ai Sales Agent can support immediate qualification and meeting progression where the organisation has the right contact permissions, routing and workflow rules.
Re-engaging dormant but relevant opportunities.
Many CRMs contain previous enquiries, unprogressed opportunities or leads that were not ready at the time. These records are commercially valuable only when the company has a controlled method for revisiting them. Chloe Ai Sales Agent can help re-engage suitable leads, but the organisation must first segment the list, remove inappropriate contacts, define outcomes and prepare human follow-up.
Structured first-stage qualification.
Some sales teams spend expensive human time repeatedly collecting the same initial information. If the questions are clear and the conversation does not require nuanced advisory judgement, Chloe Ai Sales Agent may help identify which enquiries should proceed to a human conversation. The point is not to remove sellers from valuable conversations. It is to deploy their expertise where it has the highest commercial impact.
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During checkout, use code CHLOEPARTNER30 for 30% off for three months. Offer is good until June 30, 2026, for all new customers.
Where Chloe should not be treated as the answer.
AI sales execution will not correct the wrong audience, the wrong promise or a weak commercial architecture. A company should not deploy Chloe Ai Sales Agent simply because it is new or because the team wants “more activity”. More activity through a poor system can generate more noise, more poor-quality meetings and less confidence in the CRM.
The b10 implementation view.
Diagnose before deployment.
b10 is a Commercial Transformation Company. We help organisations connect the systems behind revenue, from first click to recurring revenue. In that context, Close CRM and Chloe Ai Sales Agent sit mainly across the CRM, Sales and Automation domains of the commercial system. They can also affect marketing-to-sales handoff, reporting, operations and customer experience.
That means a Chloe Ai Sales Agent implementation should not begin with the agent configuration screen. It should begin with the commercial use case. Through a diagnostic-led approach, b10 can assess whether the organisation has a sufficiently defined pipeline, eligible lead pool, qualification method, human handoff and measurement plan before implementing the tool.
That means a Chloe Ai Sales Agent implementation should not begin with the agent configuration screen. It should begin with the commercial use case. Through a diagnostic-led approach, b10 can assess whether the organisation has a sufficiently defined pipeline, eligible lead pool, qualification method, human handoff and measurement plan before implementing the tool.
| Implementation diagnostic question | Why it matters | CTI / commercial domain |
|---|---|---|
| Which lead type will Chloe handle first? | A tightly scoped initial use case avoids uncontrolled activity. | ICP / Sales |
| What permission and geographic rules apply? | Prevents a deployment that is unavailable, inappropriate or risky. | CRM / Governance |
| What information makes a lead qualified? | Turns conversations into actionable commercial movement. | Sales / Positioning |
| What happens when a lead wants a human? | Protects buyer experience and speed of progression. | Sales / Operations |
| Which CRM fields, statuses and outcomes change? | Makes reporting reliable and workflows manageable. | CRM / Automation |
| How will success be judged? | Prevents volume metrics from hiding poor revenue quality. | Sales / Retention / Operating Rhythm |
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During checkout, use code CHLOEPARTNER30 for 30% off for three months. Offer is good until June 30, 2026, for all new customers.
A seven-step Close CRM Chloe implementation pathway.
Step 1: Select one commercially safe use case.
Start with a defined segment and outcome. This may be inbound qualification for a supported supported-number lead flow, or re-engagement of appropriate opted-in suitable leads already held in Close CRM. Avoid launching across every record simply because access exists.
Step 2: Confirm availability, permission and disclosure requirements.
Close CRM publicly states that Chloe is available across Close CRM plans, but its Help Centre limits Voice Agent calls to U.S. and Canadian contact phone numbers. Close CRM also requires Chloe to disclose its AI nature and recording at the start of calls. Before deployment, confirm that the organisation’s contact basis, destination numbers, scripts and data treatment are appropriate. This is a deployment control, not a footnote.
Step 3: Define qualification and outcomes before automation.
Specify what Chloe is trying to learn, what constitutes a qualified outcome, when a meeting should be booked, when contact should stop and which scenarios must be escalated. Clear decision rules create clean sales data and safer buyer experiences.
Step 4: Configure Close around the real sales process.
The pipeline, fields, views, workflows, calendars, ownership and reporting should reflect how your company sells. Chloe must operate within a properly designed CRM system; otherwise automation only moves unreliable information faster.
Step 5: Build human handoff and exception handling.
Design what happens when a prospect asks for a human, raises a complex issue, books a meeting, opts out or falls outside the expected conversation. The human team remains accountable for relationships, commercial judgement and serviceability.
Step 6: Run a controlled pilot and listen to reality.
Test the agent, deploy to a limited eligible cohort, inspect recordings and summaries, review outcomes and adjust prompts or process rules. The first question is not whether Chloe makes calls. The first question is whether the calls generate the right next actions with acceptable customer experience.
Step 7: Measure revenue quality, then scale.
Monitor conversation outcomes, qualified meeting progression, handoff response, conversion through pipeline stages, workload shifted from human sellers and downstream customer fit. Do not scale a workflow simply because it produces activity. Scale it when it produces appropriate commercial movement.
Try Chloe Ai Agent Free.
During checkout, use code CHLOEPARTNER30 for 30% off for three months. Offer is good until June 30, 2026, for all new customers.
How Chloe relates to sales transformation and revenue transformation.
Chloe Ai Sales Agent is highly relevant to sales transformation because it changes how sales teams execute follow-up, qualification, pipeline action and CRM maintenance. However, sales transformation is not achieved merely by activating an AI agent. The surrounding process, data and team operating model must change with it.
Chloe is relevant to revenue transformation where faster and more consistent action helps prevent valuable demand from being lost between enquiry and conversation. Yet revenue transformation is wider than sales activity: it includes what demand is attracted, how it converts, what is promised, whether it can be delivered profitably and whether customers stay and expand.
Commercial transformation is wider again. It connects the website and demand capture, marketing, CRM, sales, automation, delivery readiness and customer growth into one commercial system. Close CRM and Chloe Ai Sales Agent can become powerful infrastructure in that system. They should not be confused with the whole system.
Chloe is relevant to revenue transformation where faster and more consistent action helps prevent valuable demand from being lost between enquiry and conversation. Yet revenue transformation is wider than sales activity: it includes what demand is attracted, how it converts, what is promised, whether it can be delivered profitably and whether customers stay and expand.
Commercial transformation is wider again. It connects the website and demand capture, marketing, CRM, sales, automation, delivery readiness and customer growth into one commercial system. Close CRM and Chloe Ai Sales Agent can become powerful infrastructure in that system. They should not be confused with the whole system.
Should your organisation implement Close CRM and Chloe.
It is worth evaluating when your sales operation has meaningful lead activity but human capacity causes inconsistent response, weak re-engagement or poor CRM follow-through. It is particularly relevant when your company is already using Close CRM, or is considering Close CRM because it wants calling, workflow, pipeline and AI execution in a single sales-focused CRM.
It is not a fit where the organisation requires Chloe Voice to call local contact numbers today; where the lead pool cannot be used appropriately; where the pipeline and qualification logic are undefined; or where management expects AI to compensate for weak market fit or a poor proposition.
It is not a fit where the organisation requires Chloe Voice to call local contact numbers today; where the lead pool cannot be used appropriately; where the pipeline and qualification logic are undefined; or where management expects AI to compensate for weak market fit or a poor proposition.
Implement Close CRM and Chloe around a sales system that can scale.
Close CRM Chloe AI sales agent FAQs.
What is Chloe in Close CRM?
Chloe Ai Sales Agent is Close CRM’s built-in AI sales agent. Close states that it can engage leads through voice, qualify prospects, book meetings, enrich customer information, update CRM records and support users through Chloe Chat.
Is Chloe AI sales agent out of beta?
Close released Chloe Ai Sales Agent on 3 June 2026 following beta testing. Its product and pricing pages now present Chloe as available across Close plans; the documented Voice Agent limitation is that it can currently call supported contact phone numbers.
Does Chloe replace salespeople?
No. Close positions Chloe Ai Sales Agent as handling repetitive sales activity and pipeline follow-up while human salespeople handle relationships and closing conversations. b10’s view is that human ownership remains essential for judgement, escalation and revenue quality.
Can Chloe call leads and book meetings?
Yes. Close describes Chloe Ai Sales Agent as able to conduct voice conversations, qualify leads and book meetings. The implementation must still define when a lead qualifies, which calendar receives meetings and how follow-up is owned.
Does Chloe update Close CRM automatically?
Close’s current public Chloe Ai Sales Agent page states that Chloe can update CRM records, fill or enrich fields, log conversations and capture summaries. Teams should define which data is trusted and reviewed.
How much does Close CRM Chloe cost?
Close’s public pricing page states that Chloe Ai Sales Agent access is available across Close plans, with usage based on AI credits and telephony, and each plan includes a monthly base of AI credits. Check current pricing before purchase.
Do prospects know they are speaking to an AI agent?
Yes. Close’s Chloe Ai Sales Agent page states that Chloe must disclose that it is an AI and that the call is being recorded at the start of every conversation, and that this cannot be overridden.
What should be implemented before Chloe Ai Sales Agent is deployed?
A business should define eligible leads, geographic and permission controls, qualification criteria, CRM fields and outcomes, calendar routing, human handoff, exception handling and success measures before scaling agent activity.
How can b10 help with Close CRM and Chloe implementation?
b10 can help organisations assess fit, design the Close CRM pipeline and workflows, map the Chloe Ai Sales Agent use case, define handoff and reporting controls, run a controlled pilot and connect the deployment to wider sales, revenue and commercial transformation goals.
Implement Close CRM with b10.
