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AI-Native CRM vs Traditional CRM: What Changed in 2026

· 6 min read
MarketBetter Team
Content Team, marketbetter.ai

In February 2026, Monaco launched an "AI-native CRM" as part of its all-in-one sales platform — built entirely from scratch, designed for artificial intelligence from day one. It's part of a growing movement: Attio, Clay, and others are also building CRM experiences where AI isn't a feature — it's the foundation.

This is a direct challenge to the legacy CRMs — Salesforce, HubSpot, Zoho, Pipedrive — that have dominated for years.

But what does "AI-native" actually mean? And should you care?

What Is an AI-Native CRM?

An AI-native CRM is a customer relationship management system built from scratch with artificial intelligence as the core architecture — not legacy software with AI features added later.

Key characteristics:

  1. AI is the architecture, not a feature. In traditional CRMs, AI is bolted on — think "Einstein" in Salesforce or "Breeze" in HubSpot. In AI-native CRMs, every data model, workflow, and interface was designed for AI from the beginning.

  2. Data is structured for machine learning. AI-native CRMs organize data in ways that make it easy for AI to learn patterns, predict outcomes, and automate decisions. Traditional CRMs store data in structures designed for human queries.

  3. Automation is the default. Tasks that require manual input in traditional CRMs — data entry, logging calls, updating deal stages — happen automatically in AI-native systems.

  4. Intelligence surfaces proactively. Instead of you querying the CRM for insights, the CRM tells you what matters — surfacing risks, opportunities, and next actions without being asked.

Traditional CRM: What's Breaking

The traditional CRM model — Salesforce pioneered in 1999, HubSpot refined in 2006 — is showing its age:

Manual Data Entry

A Salesforce admin once estimated that reps spend 30% of their time updating the CRM. That's not selling. That's data janitoring.

Rigid Data Models

Traditional CRMs force your data into predefined objects — Contacts, Companies, Deals, Tasks. But real relationships are messy and fluid. AI-native CRMs offer flexible data models that adapt to how your business actually works.

Bolt-On AI

Salesforce Einstein, HubSpot Breeze, and similar AI features are impressive — but they're additions to existing architectures. They can only be as smart as the data structures allow. It's like putting a Tesla engine in a horse carriage — the chassis limits what the engine can do.

Integration Complexity

Most CRM setups require 5-15 third-party integrations to function. Each integration is a potential point of failure, data sync issue, and vendor to manage.

AI-Native CRM: The New Players

Monaco

Launched February 2026 with $35M in funding, Monaco's AI-native CRM is part of an all-in-one platform for startups. The CRM auto-logs interactions, manages pipeline, and integrates natively with Monaco's prospect database and outbound AI. No third-party integrations needed — because everything is built in.

Strength: Truly all-in-one for startups with no existing tools. Weakness: Unproven. No visitor identification, no multichannel outreach beyond email.

Attio

The leading independent AI-native CRM. Beautiful design, flexible data model, and AI-powered deal insights. Popular with startups and modern sales teams.

Strength: Best pure CRM experience for modern teams. Weakness: CRM only — you need separate tools for outbound, data, and prospecting.

Clay

More of a data orchestration platform than a CRM, but Clay's AI-native approach to enrichment and workflow automation is influencing how the category evolves.

Strength: Most powerful data enrichment available. Weakness: Not a CRM. Steep learning curve.

The Question You Should Be Asking

Here's the real question: Does your CRM choice matter as much as your entire sales workflow?

The answer is no.

A CRM — whether AI-native or traditional — is just one piece of your sales motion. What matters more is whether your overall system can:

  1. Identify who's interested — website visitor identification
  2. Reach them effectively — multichannel outreach (email + phone + chat)
  3. Capture inbound interest — AI chatbot for 24/7 engagement
  4. Prioritize daily actions — so reps know what to do first
  5. Track everything — in whatever CRM you use

This is exactly why platforms like MarketBetter take the integration approach: instead of replacing your CRM, MarketBetter integrates deeply with HubSpot and Salesforce and adds the capabilities they lack — visitor identification, smart dialer, AI chatbot, and daily SDR playbook.

Should You Switch to an AI-Native CRM?

Switch if:

  • You have no existing CRM and are starting fresh
  • Your current CRM is costing you more in admin time than it's worth
  • You're a small team that wants maximum simplicity
  • You're willing to bet on newer, less-proven software

Stay with traditional CRM if:

  • You have years of data in Salesforce or HubSpot
  • Your team is trained on the existing system
  • You have integrations built on top of it
  • You need the ecosystem (AppExchange, partner network, etc.)
  • You can add AI-powered tools (like MarketBetter) on top

The Best of Both Worlds

Use your existing CRM for what it does well (contact management, pipeline tracking, reporting) and layer AI-powered tools on top for what it can't do:

  • MarketBetter for visitor identification, AI chatbot, smart dialer, and daily playbook
  • Clay for advanced data enrichment
  • Gong/Chorus for conversation intelligence

You get AI-native capabilities without ripping and replacing your CRM.

The Bottom Line

AI-native CRMs like Monaco and Attio represent a genuine architectural evolution. Long-term, AI-first design will win — just like cloud-native databases replaced on-premise, and mobile-native apps replaced desktop ports.

But right now, in 2026:

  • Monaco is unproven (public beta, no reviews)
  • Attio is CRM-only (you need more tools)
  • Salesforce and HubSpot aren't going anywhere (but they're not AI-native)

The smart move for most teams: keep your CRM, add AI-powered tools that fill the gaps.

Add AI to Your Existing CRM

MarketBetter integrates with HubSpot and Salesforce to give you AI-native capabilities without replacing anything. Book a demo to see visitor identification, AI chatbot, and daily playbook in action.

The Rise of Human-in-the-Loop AI Sales: Monaco, MarketBetter & More

· 6 min read
MarketBetter Team
Content Team, marketbetter.ai

A strange thing happened in the AI sales space in 2025-2026: the best-funded companies started backing away from full automation.

11x.ai raised $74M promising to "replace" SDRs with autonomous AI agents. Artisan pitched "Ava" as a digital sales worker that never sleeps. The narrative was clear: humans are expensive, slow, and inconsistent. AI is the future.

Then reality hit.

Fully autonomous AI SDRs produced mixed results. G2 reviews for 11x hovered around 3.5/5. Buyers reported generic-sounding outreach, missed context, and AI that didn't understand nuance. The dream of setting it and forgetting it turned out to be... forgettable.

In 2026, the pendulum is swinging. The smartest platforms are embracing human-in-the-loop AI — systems where AI handles the heavy lifting, but human judgment stays central to the process.

Two of the most notable examples: Monaco and MarketBetter.

What Is Human-in-the-Loop AI?

Human-in-the-loop (HITL) AI is an approach where AI systems perform tasks with human oversight, guidance, or intervention at key decision points. Instead of full autonomy, the AI recommends and executes while humans verify, adjust, and approve.

In sales, this means:

  • AI drafts emails → humans review and adjust before sending
  • AI identifies prospects → humans prioritize which ones to pursue
  • AI suggests talking points → humans run the actual conversations
  • AI prioritizes tasks → humans decide what to do and when

The key insight: AI is great at processing data, finding patterns, and automating repetitive work. Humans are great at judgment, empathy, relationships, and dealing with ambiguity. The best sales tools leverage both.

How Different Platforms Handle Human-AI Balance

Fully Autonomous: 11x, Artisan

Approach: AI does everything — finding prospects, writing emails, sending outreach, following up, even making phone calls. Humans set parameters and review results, but the AI runs independently.

Pros: Maximum efficiency, minimal human effort needed.

Cons: Quality control issues, brand risk from bad AI outreach, lack of nuance, buyers can tell they're talking to a robot.

Results so far: Mixed. 11x has a ~3.5/5 G2 rating. Multiple reviews mention generic outreach quality.

Expert-Guided: Monaco

Approach: AI handles the heavy lifting (outbound campaigns, CRM management, meeting notes), but experienced human salespeople are embedded in the process. These aren't your reps — they're Monaco's sales experts who monitor, guide, and improve the AI's output.

Pros: Better outreach quality than full autonomy, AI mistakes caught by experienced humans.

Cons: You're trusting Monaco's experts, not your own team. The guidance is outsourced. Also limited to email — no phone, no chat.

Status: Public beta, launched February 2026. Too early to evaluate results.

SDR-Empowered: MarketBetter

Approach: AI empowers YOUR SDRs to be dramatically more productive. Visitor identification tells them who's interested. The Daily Playbook tells them what to do. AI drafts emails and provides call scripts. The smart dialer makes calling efficient. The chatbot handles inbound 24/7.

But the SDR is always in the driver's seat. They decide which leads to pursue, how to tailor the message, when to pick up the phone, and how to run the conversation.

Pros: Your team maintains relationships and judgment. AI handles the grunt work. Best of both worlds.

Cons: Requires humans — you need SDRs. (But you should have them anyway.)

Results: 4.97/5 G2 rating, proven customer base including CallRail and Hologram.

Why Human-in-the-Loop Is Winning

1. Buyers Can Tell

Today's B2B buyers are sophisticated. They know what an AI-generated email looks like. They've seen the patterns — the over-personalized first line ("I see you went to University of Michigan — Go Blue!"), the generic value prop, the calendar link drop.

When every company uses the same autonomous AI SDR, every outreach sounds the same. Human-in-the-loop platforms produce outreach that's genuinely different because a human added judgment, context, and personality.

2. Sales Is Relational

Closing a B2B deal isn't like booking a restaurant reservation. It requires trust, rapport, understanding, and judgment. AI can get you to the conversation, but a human needs to have it.

Human-in-the-loop platforms optimize for getting humans into conversations faster — not replacing the conversations.

3. Brand Risk Is Real

When a fully autonomous AI sends an embarrassing, tone-deaf, or incorrect email, it's your company's reputation on the line. One bad AI email to the wrong executive can damage a relationship permanently.

Human oversight catches these mistakes before they happen.

4. Nuance Matters in Sales

Should you lead with pricing or ROI? Is this prospect in buying mode or research mode? Is the tone right for this industry? These are judgment calls that AI handles poorly and humans handle well.

The Best Human-in-the-Loop Sales Stack

Based on what's working in 2026, here's what a best-in-class HITL sales stack looks like:

  1. Demand identification (AI): Website visitor identification reveals who's interested — MarketBetter
  2. Prioritization (AI): Daily Playbook ranks what matters most — MarketBetter
  3. Outreach drafting (AI): AI writes personalized emails and call scripts — MarketBetter
  4. Inbound capture (AI): Chatbot engages visitors 24/7 — MarketBetter (FloBot)
  5. Outreach execution (Human): SDR reviews, adjusts, and sends — your team
  6. Conversations (Human): Phone calls, meetings, demos — your team
  7. Pipeline management (AI + Human): CRM with AI insights — HubSpot/Salesforce + MarketBetter

Notice the pattern: AI handles data, research, and preparation. Humans handle judgment, relationships, and conversations.

The Future of AI Sales

The fully autonomous AI SDR isn't going away. 11x and Artisan will continue to improve. But the trajectory is clear: the most effective sales teams in 2026 and beyond will use human-in-the-loop AI.

Monaco gets this right philosophically with embedded human experts. MarketBetter gets this right practically with the Daily Playbook, visitor identification, and tools that empower your existing team.

The best AI doesn't replace your SDRs. It makes them superhuman.

Empower Your SDRs

MarketBetter's human-in-the-loop approach gives your team superpowers. Visitor identification, daily playbook, smart dialer, AI chatbot — all designed to make humans more effective, not replace them. Book a demo.