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The AI features landing in sales platforms in 2026 are not the novelty-tier additions you had to politely ignore two years ago. They are doing real work — on prospecting, pipeline data quality, and support volume. This is a guide to what is worth your attention.
Ask most sales teams what their biggest AI problem was two years ago, and the answer would have been that the tools looked impressive in demos and fell apart in practice. CRM data too messy to feed them. Outputs too generic to act on. The workflows too broken to automate meaningfully.
That has changed — not entirely, but enough that the conversation has shifted from whether AI helps with sales to which platform has got there fastest. The five tools in this guide are being used by working teams. They are not all competing for the same buyer. What you need depends on whether you are solving a prospecting problem, a pipeline visibility problem, a CRM data quality problem, or a support volume problem. Often all four. The right starting point varies accordingly.
HubSpot Breeze
HubSpot Breeze — AI Platform
Spring 2026HubSpot has been building AI into its platform long enough that it has stopped announcing individual features as if they were press releases. The Spring 2026 Breeze update is substantive. Four areas worth your attention.
Prospecting Agent
Rebuilt end to end. The agent now monitors target accounts for buying signals, maps buying committees, sources contacts via Apollo and ZoomInfo, and drafts personalised outreach automatically. The part worth paying attention to is the pricing model — outcome-based, per qualified lead recommended, not per seat. That shifts the risk onto HubSpot rather than onto you, which is either a sign of genuine confidence or very good marketing. Given the underlying data sourcing, probably both.
Smart Deal Progression
This is the one that matters most if your CRM is a graveyard. After each sales call, HubSpot analyses the transcript alongside the full deal history, suggests CRM field updates, drafts a follow-up email, and surfaces next steps. No manual entry. The CRM data quality problem has never been a software problem — it has always been a human behaviour problem. Removing the entry friction removes the behaviour that caused the graveyard in the first place.
Customer Agent
Resolves 70% more support tickets across chat and email using your help documentation, CRM data, and conversation history. The headline number is fine. The details are what make it enterprise-usable: multi-brand support, customisable tone by channel, flexible rollout controls, and structured data handling for pricing and product questions. The last one matters — most AI support tools fall apart when a customer asks something specific about pricing tiers or compatibility. Structured data support means the agent can answer those rather than escalating everything.
Breeze Assistant
Now trained on HubSpot’s Loop Marketing playbook and role-aware for both marketers and sales reps. Builds ICPs, brand guides, and campaign briefs from your actual CRM data — not templates. Generic AI assistants produce generic output because they have no context. Breeze Assistant draws from what is already in your HubSpot instance, which makes the outputs usable rather than decorative.
Sales Hub Professional starts at around £79 per user per month. The free tier is a legitimate starting point for teams evaluating the platform.
Salesforce Einstein
Salesforce Einstein AI
EnterpriseIf your organisation is already in Salesforce, Einstein is worth turning on. The AI features are embedded deeply enough that they benefit from your existing data model in a way a bolt-on tool cannot replicate. Lead scoring, opportunity insights, and Activity Capture — which auto-logs emails and calendar events — are all genuinely useful in practice.
The honest position: Salesforce’s AI is excellent when it is set up properly, and getting it set up properly takes considerably longer than the sales cycle suggested. Admin overhead is real, and it does not go away. If you are not already a Salesforce customer, Einstein alone is not a reason to become one. The implementation cost, ongoing administration, and seat licensing adds up to a commitment that makes sense at scale. For mid-market teams starting fresh in 2026, there is a simpler path.
Gong
Gong Revenue Intelligence
Conversation AIGong does conversation and revenue intelligence, and it does it better than anyone else in this list. Call summaries are genuinely good. The pipeline reality scores — which measure deal health based on actual conversation data rather than whatever a rep has entered — have a consistent track record of surfacing deals that were quietly dying. Forecast accuracy improvements for teams using Gong are documented and repeatable.
It is expensive. Pricing is not published, but £1,200 to £1,600 per user per year is the range most teams encounter. At that level, the tool needs to be saving or closing deals to justify itself. If your average deal size is five figures upwards, the maths work. Below that, think carefully before committing.
Apollo.io
Apollo.io
Prospecting-FirstApollo’s core product is a contact and account database with outreach sequencing on top of it. AI email personalisation, sequence suggestions, and lead scoring have all improved. Data quality has also come up significantly in the last 18 months, which was the main legitimate complaint.
Apollo sits in an interesting position relative to HubSpot’s Prospecting Agent. If you are already on HubSpot, there is real overlap — and the Prospecting Agent now sources from Apollo’s database anyway. If you are not on HubSpot and your immediate problem is filling the top of the funnel, Apollo’s Professional plan at around £78 per user per month is a clean entry point. It is a prospecting-first tool, not a full sales platform, and it is priced to reflect that.
Clay
Clay
Data EnrichmentClay is not a CRM, not a sales engagement platform, and not a direct substitute for any of the tools above. It is a data enrichment and workflow automation tool that pulls from over 75 data providers, runs waterfall enrichment to fill gaps, and lets you build prospect lists of a quality that a single-source database cannot match.
Teams using Clay typically pair it with Apollo or HubSpot — Clay to build and enrich the list, the other platform to action it. It earns its place in account-based motions where you need to understand a company’s tech stack, headcount changes, or hiring signals before making contact. The learning curve is real. It rewards the kind of person who enjoys building things in Zapier or Notion. If list quality is your constraint rather than outreach volume, it is worth a look.
Side by Side
| Platform | Prospecting AI | CRM / Deal AI | Support AI | Pricing model | Best for |
|---|---|---|---|---|---|
| HubSpot Breeze | ✓ Full agent | ✓ Smart Deal Progression | ✓ Customer Agent | Per seat + outcome-based (Prospecting) | All-in-one, SMB to mid-market |
| Salesforce Einstein | ✓ Lead Scoring | ✓ Opportunity Insights | ✓ Agentforce | Per seat, premium | Enterprise, existing Salesforce orgs |
| Gong | — | ✓ Pipeline reality scores | — | Per seat, custom | Revenue intelligence, larger deal sizes |
| Apollo.io | ✓ Database + sequences | — | — | Per seat | Outbound-first, prospecting-heavy teams |
| Clay | ✓ Data enrichment | — | — | Per workspace, credit-based | ABM, data-quality-constrained teams |
Annual Cost: Five-Seat Team
Figures are approximate and based on published list pricing or widely-reported ranges. Gong pricing is custom and not published; the figure shown reflects commonly cited estimates. Clay is priced per workspace rather than per seat. All figures in GBP at prevailing rates.
Frequently Asked Questions
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Gary Walsh is the Head of Tech Support at Software Supplies, with more than 20 years in the IT industry. Fully Microsoft-certified and experienced across the full business software stack — from Windows and Office to cloud infrastructure and device management — Gary delivers practical, no-nonsense advice that helps users and businesses get the most from their technology.