2 posts tagged with "CRM"

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.

Related Reading​

• MarketBetter vs Monaco: Full Comparison
• Monaco Sales Platform Review 2026
• Best AI Sales Platforms for Startups 2026
• Do You Need an AI-Native CRM?

Monaco just launched an AI-native CRM. Attio is growing fast with one. Every SaaS newsletter is declaring that AI-native CRMs will replace Salesforce and HubSpot.

The hype is loud. Let's cut through it.

The honest answer: probably not. But the reasoning matters more than the answer.

What "AI-Native CRM" Really Means​

Let's define terms clearly:

Traditional CRM (Salesforce, HubSpot, Pipedrive): Built in the 2000s-2010s. Data structures designed for human queries. Manual data entry is the norm. AI features added later (Salesforce Einstein, HubSpot Breeze) but constrained by the original architecture.

AI-Native CRM (Monaco, Attio): Built in the 2020s with AI as the foundation. Data structures designed for machine learning. Automatic data capture. Intelligence surfaces proactively. The AI isn't a feature — it IS the product.

The architecture matters because it determines the ceiling. A traditional CRM can add AI features, but they'll always be limited by data models designed for a pre-AI world. An AI-native CRM doesn't have that constraint.

When You SHOULD Switch to an AI-Native CRM​

✅ You have no CRM yet​

If you're a brand-new startup and haven't committed to Salesforce or HubSpot, starting with an AI-native CRM makes sense. Why adopt 15-year-old architecture when you can start fresh?

Consider: Monaco (built-in, all-in-one) or Attio (standalone modern CRM).

✅ Your current CRM is a nightmare​

If your team hates your CRM, no one updates it, and your data is garbage — maybe a fresh start is what you need. A new CRM won't fix bad habits, but a simpler, smarter one might reduce the friction that causes bad habits.

✅ You're spending more time managing the CRM than selling​

If your CRM requires a full-time admin, complex workflows to do basic things, and your reps spend 30%+ of their time on data entry — the ROI case for switching might be there.

✅ You're small enough that migration is manageable​

If you have 6 months of CRM data and 3 users, switching is a weekend project. The smaller you are, the lower the switching cost.

When You Should NOT Switch​

❌ You have years of data in your current CRM​

CRM data is an asset. Years of customer interactions, deal histories, pipeline analytics — that's institutional knowledge. Migration is possible but always lossy. Some context will be lost.

❌ Your team is trained and productive​

Switching CRMs means retraining everyone. The productivity dip during transition can last months. If your team is productive on the current system, the switching cost may exceed the benefit.

❌ You have integrations built on top​

Most B2B teams have 5-15 tools integrated with their CRM. Email, marketing automation, billing, support tickets, custom apps. Each integration needs to be rebuilt or replaced. That's months of work.

❌ You're evaluating based on hype, not need​

"AI-native" sounds cool. But cool isn't a business justification. If your current CRM is working fine, switching to an AI-native CRM is a solution looking for a problem.

❌ The AI-native CRM is unproven​

Monaco is in public beta. No G2 reviews. No public case studies. Betting your team's pipeline on unproven software is risky — especially when there are proven alternatives.

The Third Option: Add AI on Top​

Here's what most teams miss: you don't have to choose between your current CRM and AI-native capabilities.

You can keep your existing CRM AND add AI-powered tools on top. This gives you:

• Zero migration risk — your data stays where it is
• No retraining — your team keeps using what they know
• AI capabilities — visitor identification, chatbot, smart dialer, daily playbook
• Best of both worlds — proven CRM + proven AI tools

How This Works in Practice​

Your CRM (HubSpot/Salesforce): Handles contacts, deals, pipeline, reporting — what it's good at.

MarketBetter (on top): Adds what your CRM can't do:

• Website visitor identification — person-level data on who's browsing your site
• AI Chatbot (FloBot) — captures and qualifies inbound visitors 24/7
• Smart Dialer — AI-powered calling with scripts and intelligence
• Daily SDR Playbook — prioritized daily actions for every rep
• AI email automation — personalized outbound sequences

Everything syncs bidirectionally. Your CRM stays the system of record. MarketBetter adds the AI superpowers.

This is what AI-native should mean: not replacing your infrastructure, but making it intelligent.

The Decision Framework​

Ask these questions:

1. Do I have an existing CRM?

   • No → Consider AI-native (Monaco, Attio)
   • Yes → Continue to question 2

2. Am I happy with my current CRM?

   • No → Evaluate switching (but consider the migration costs)
   • Yes → Continue to question 3

3. Do I need AI capabilities my CRM lacks?

   • No → You're fine. Keep what you have.
   • Yes → Add AI tools on top (MarketBetter)

For most teams, the answer is #3: keep your CRM, add AI on top.

What About Monaco Specifically?​

Monaco's AI-native CRM is part of its all-in-one platform. It's interesting for seed-stage startups starting from zero. But:

• It's in public beta (risk)
• No visitor identification (gap)
• No multichannel outreach (gap)
• No chatbot (gap)
• No pricing transparency (friction)
• Startup-only positioning (limitation)

If you're evaluating Monaco's CRM specifically, compare it against:

• Attio — better standalone AI CRM
• HubSpot — proven, full-featured, free tier
• MarketBetter + your existing CRM — AI capabilities without CRM replacement

The Bottom Line​

You probably don't need an AI-native CRM. You need AI-native capabilities — and you can get those without replacing your CRM.

Keep HubSpot or Salesforce for what it does well. Add MarketBetter for what it can't do: visitor identification, AI chatbot, smart dialer, and daily SDR playbook.

That's the honest answer.

Related Reading​

• AI-Native CRM vs Traditional CRM: What Changed in 2026
• MarketBetter vs Monaco: Full Comparison
• Best AI Sales Platforms for Startups 2026
• End-to-End AI Sales Platforms: Buyer's Guide