Pipedrive launches Nova AI tool to cut sales admin work. Sales teams often face a familiar tradeoff: spend more time talking with prospects or spend more time documenting those conversations in a CRM. Pipedrive is introducing an AI tool designed to reduce that administrative burden by handling meeting preparation, transcription, summaries and suggested CRM updates inside its sales platform. Pipedrive announced the general availability of Nova, an AI meeting intelligence tool built directly into its customer relationship management platform for small and medium-sized businesses. Nova becomes available globally on September 16 and is included in all Pipedrive plans at no additional cost. The tool works across the sales meeting process. Before a call, Nova can assemble information already stored in Pipedrive, including deal history, emails and previous conversations. During a meeting, it can record and transcribe the discussion. Afterward, it generates a summary, identifies next steps and recommends updates to CRM records. Discover more Local Marketing Services Business Operations Software Business Legal Structure For small businesses with limited sales staff, that combination could reduce the amount of time employees spend switching between customer conversations, email, meeting notes and CRM data entry. Australian property technology company Snug tested Nova before its general release. Snug, whose software is used by more than 73,000 property managers and 1.5 million renters in Australia, said the technology saves its six-person sales team between 30 minutes and one hour per sales meeting. "Nova saves me at least half an hour to an hour per deal meeting in terms of note-taking, transcribing and follow-up action steps," said Justin Butterworth, Founder and CEO of Snug. "The tool essentially triples the size and effectiveness of our sales team. We're not having to do all of the manual sales administration, preparation, follow-up. We're getting a second set of eyes and intelligence on every conversation." The time savings highlighted by Snug could be particularly significant for smaller sales organizations, where administrative work can consume capacity that might otherwise go toward prospecting, customer relationships and closing deals. However, Snug's experience represents one company's results, and the amount of time saved will likely depend on existing sales processes and how extensively a team uses its CRM. Pipedrive points to its own research as evidence of the administrative problem it is attempting to address. Its 2026 CRM Trends Report, based on a survey of 1,000 sales and marketing professionals, found that 42% of respondents spend at least 40% of their working day on activities that do not directly generate revenue. Only 11% identified actively closing deals as one of their most frequent weekly activities. Discover more Business funding resources Advertising & Marketing Business News Another Pipedrive report found that 71% of professionals spend at least 10 minutes preparing for each customer call by reviewing sources such as emails, CRM records and previous interactions. Nearly half, 47%, said follow-up work or CRM updates frequently take more than 24 hours to complete. Nova attempts to consolidate several of those tasks. Before a meeting, the system pulls together available customer and deal information already recorded in Pipedrive. That could help a salesperson quickly review where a negotiation stands, what was discussed previously and what actions remain outstanding without manually searching through multiple records. During calls, users can record conversations through Pipedrive's desktop app or use Nova's visible notetaker in Google Meet, Zoom and Microsoft Teams. The feature includes configurable consent and participant notification settings, an important consideration for businesses recording customer conversations. Businesses using meeting recording technology still need to consider their own policies and applicable recording and consent requirements. Requirements can vary depending on where participants are located, so companies may need procedures governing when recording is appropriate and how employees obtain consent. After a meeting, Nova produces a transcript and summary, identifies follow-up steps and proposes changes to information such as a deal's stage, value and expected closing date. The system does not automatically apply those changes. Salespeople can review, edit and approve suggested CRM updates before they become part of the customer record. Discover more Business ideas list Accounting software reviews That human review component addresses another issue identified in Pipedrive's research. According to the company's report, only 23% of surveyed professionals said they would be very comfortable allowing AI to complete tasks automatically without their review. Meanwhile, 43% said the AI capability they most wanted was assistance drafting emails, summaries and notes that they could review before sending or saving them. "Everyone in this category is trying to build an autopilot, and I think that's the wrong plane to be flying. What actually helps a rep isn't more automation. It's more confidence. Nova gets everything else out of their way so reps can spend that energy doing the one thing they're actually paid to do: sell. That's what we built Nova to do," said Joe Futty, Chief Product and Technology Officer at Pipedrive. For small business owners evaluating the feature, the usefulness of Nova will depend partly on the quality of information already stored in Pipedrive. Pre-meeting briefings rely on available CRM data, emails and past conversations, meaning businesses with incomplete records may get less value from those preparation features than companies that consistently maintain customer information. AI-generated summaries and CRM recommendations also require oversight. A mistaken deal value, expected closing date or next step could affect forecasts and follow-up decisions if accepted without review. Pipedrive's approval process allows employees to verify proposed changes, but businesses will still need to make that review part of their workflow rather than treating AI-generated information as automatically accurate. The lack of an additional charge could make Nova easier for existing Pipedrive customers to test without adding another standalone meeting intelligence subscription. Because the technology operates within Pipedrive's infrastructure, customers also do not need to deploy and manage a separate AI meeting application. For smaller sales teams, the larger question will be whether Nova can consistently turn conversations into reliable CRM information while reducing the administrative work surrounding each deal. If it does, salespeople could spend less time reconstructing meetings and updating records after calls and more time working directly with prospects and customers.

Pipedrive has launched Nova, an AI meeting intelligence tool integrated into its CRM platform. Available globally from 16 September 2026, Nova briefs salespeople before calls, records and transcribes conversations, and drafts CRM updates afterward. The tool is included in all Pipedrive plans at no additional cost. It works with Google Meet, Zoom, and Microsoft Teams, requiring user approval before applying CRM updates. Australian property technology company Snug piloted Nova and reports it saves its six-person sales team between 30 minutes and one hour per meeting. Snug's software serves over 73,000 property managers and 1.5 million renters across Australia. Pipedrive's 2026 CRM Trends Report found 42% of sales professionals spend at least 40% of their day on non-revenue generating tasks.

How Attio works and what it takes to set up. A practical look at Attio's object-based CRM, how inbox sync puts threads on every record, realistic setup time, and how it compares to HubSpot and Pipedrive. What is Attio and how does it work? Attio is a CRM you build out of flexible records rather than one you inherit from the vendor. Connect your email and calendar and it pulls in every thread and meeting, so they sit on the contact record next to notes, tasks and comments. It bills itself as the CRM for agentic revenue |, with automations working your pipeline between logins. Underneath the positioning, the data model is objects and attributes. A "person" record, a "company" record, and then any object you invent: deals, candidates, partners, waitlist signups. Each object gets a table view, a kanban view and a set of fields you define. Pipelines are a status field on an object rendered as columns you drag things across. Because the inbox sync is record-level, every thread and meeting appears alongside the contact | without anyone logging it. A recruiter can add a Placements object, link it to both the candidate record and the client company, and it behaves like a native part of the CRM rather than a custom field bolted onto a deal. A coffee meeting with a notebook, phones and a tablet. Photo by Alejandro Escamilla, CC0. How long does it take to set up? Faster than a full sales-ops project, slower than the marketing suggests. Attio's own promise is that setup should be instant |, and connecting your inbox and calendar genuinely takes minutes. Deciding what your objects are, what a "stage" means, and which fields you will actually fill in is the part that takes an afternoon. Attio's help centre academy | walks through it in short videos: connect the inbox, set up pipelines, then notes, tasks and email. A sensible first hour for a solo founder: + Connect email and calendar. Every past thread with a prospect appears on their record. + Create one pipeline with five stages, not twelve. New, Conversation, Meeting Booked, Proposal, Closed. + Add three custom fields you will genuinely use: source, ICP segment, and next step date. + Ignore analytics until you have 50 records in the pipeline. Dashboards over an empty table tell you nothing. What makes Attio different from HubSpot or Pipedrive? Customisation depth. Attio lets you define the objects, so a CRM for a recruiter, a PLG SaaS tracking signups and usage, and an agency tracking retainers all end up looking like different products. Attio publishes a guide for product-led growth teams | that treats signups, usage data and renewal dates as first-class records. That flexibility cuts the other way. A CRM you can shape into anything is a CRM you can shape into a mess, and there is no default opinion to fall back on. If nobody on your team wants to own the data model, you will build four fields that mean the same thing by month three: "Source", "Lead source", "Channel" and "How did they find Gelee". Where should LinkedIn outbound activity land in Attio? At the point a human would care, which is the reply. Logging every invite you send fills the CRM with records nobody reads. Create the person record when they accept, write the first reply into the record, and move them to a stage when they say something a salesperson would react to. Here is the arithmetic for why the split matters. At 25 invites a day you send roughly 500 a month. Its published benchmarks are a 20 to 30% accept rate and a 12 to 18% first-message reply rate, so 500 invites produces about 125 connections and 19 conversations. If you log all 500 at two minutes each, that is 16 hours a month. At $100 an hour, $1,600 of your time to maintain records for 481 people who never replied. On a new account the numbers are smaller for the first two weeks, because safe volume there is 5 to 10 invites a day, not 25. A near-empty pipeline in week one is the account warming up correctly. What should actually be a field, and what should be a note? Fields are for things you will filter or count. Notes are for things you will read once before a call. Source, ICP segment, objection type and next step date belong in fields. "She mentioned they are locked into a contract until Q3" belongs in a note, or better, a task dated for Q3. | Stage | Record it as | Benchmark | If you are below it | | Invite accepted | Person record created, source = LinkedIn | 20-30% of invites | Profile and targeting, not copy | | First reply | Note on record, stage = Conversation | 12-18% of accepts | First message is pitching too early | | Follow-up reply | Objection field filled in | 5-8% | Follow-ups are nudges, not new angles | | Meeting booked | Stage = Meeting Booked, calendar event auto-attaches | 3-5% of invites | Offer or ICP, not the CRM | Filling the objection field is what makes the last column usable. If 11 of those 19 monthly conversations stall on price and two stall on timing, you have a pricing page to rewrite, and no amount of follow-up sequencing fixes it. A low accept rate is a profile problem, and rewriting your copy will not move it. The LinkedIn headline rewriter | is the cheaper first move there. Who should pick HubSpot instead? Founders who want marketing and sales from one vendor, and teams who need a CRM their next three hires already know how to use. If your growth plan involves a content site, forms, lifecycle email and a sales pipeline all reporting into the same place, Attio will make you assemble that and HubSpot will hand it to you. There is also a hiring argument. Contract sales ops people and fractional RevOps consultants have worked in HubSpot and Salesforce for a decade. A custom Attio workspace built around your objects is a workspace only you understand, which is fine at four people and awkward at twenty, when onboarding a new rep means explaining why "Placements" exists. Who should pick Pipedrive instead? Anyone whose sales process is genuinely linear and who would rather not design a CRM. If your deals go from lead to demo to proposal to won, and nothing in your business needs a custom object, the flexibility in Attio is a cost you pay in setup decisions and get nothing back for. The test is whether you can name a record type that is not a person, a company or a deal. A recruiter has candidates, roles and placements. A PLG SaaS has workspaces and usage events. An agency selling one retainer to one buyer has none of those, and a fixed lead to won pipeline will hold the whole business on day one. Does Attio do outbound for you? No. It stores the conversation, sends mass email, records call intelligence and runs automations off record changes, per Attio's own productivity page. What it does not do is send 25 LinkedIn connection requests a day in your name, write the reply when someone says "what does this cost", and hold the thread until a meeting is on the calendar. That is the gap Gelee fills. It works inside LinkedIn, writes in your voice, handles objections from your playbook and books the meeting, including a Post Commenters preset that DMs people who comment on a watched post | and then replies publicly once the DM has sent. Setup runs about 15 minutes, there is no self-serve signup, and pricing is shared on a demo call. When is Gelee the wrong tool even if Attio is the right CRM? When your buyers are not on LinkedIn, when your deal size is under $2,000, or when you already employ two SDRs who are hitting quota and just need better tooling. Buying software that does the work instead of your team makes no sense when the team exists and is working. Two cases where the pairing does work well. Recruiters running candidate and client outreach off custom objects in Attio, which is the workflow behind using Gelee for candidate outreach. And solo consultants who need six conversations a week and have nobody to delegate replies to, covered in Gelee for coaches and consultants. If you are running fewer than about 20 live conversations at once, a spreadsheet with five columns will hold them and you will feel no pain. Every record you create in the wrong shape gets migrated by hand later. The trigger is usually the first time you forget a follow-up that was worth money. At 500 invites a month producing 15 to 25 meetings on its 3 to 5% benchmark, you are tracking maybe 60 live threads in a quarter. That is past what a spreadsheet handles well, because each one needs a dated next step and a view that shows you today's. Attio does that on day one. So does Pipedrive. Pick the one whose data model matches what you sell, then stop researching CRMs and go send the invites.