8–16 wks
Typical build time, end-to-end
Service · AI-Native CRM
A CRM that does the busywork so your reps can sell.
Most CRMs are expensive filing cabinets. An AI-native CRM is a system that enriches every lead automatically, summarizes every call, drafts every follow-up, and surfaces the deals that actually need a human. Custom-built around your sales motion — not Salesforce's.
No seat tax
Pay for infrastructure, not per-user
Your data
Your cloud. Your schema. Your code.
12–24 mo
Typical break-even vs. Salesforce Enterprise
01 — The thesis
Legacy CRMs are data-entry jobs with dashboards attached.
Talk to any rep using Salesforce or HubSpot and you'll hear the same thing: "I spend an hour a day updating the CRM." That's not a CRM problem — that's a UX problem rooted in a 2005 data model where humans feed the system so the system can make pretty charts. AI flips the direction. The system watches the rep's work, updates itself, and hands structured output back.
An AI-native CRM is what you get when you start from scratch and assume every record writes itself. No more "be sure to log it." No more after-hours CRM hygiene. The rep talks to a customer; the CRM catches up.
02 — What's inside
Five AI layers, all running on autopilot.
- Auto-enrichment. Every new account and contact is researched automatically — firmographics, recent news, LinkedIn profile, open roles, tech stack, and anything relevant to your ICP. Populated before the rep opens the record.
- Call & meeting summaries. Zoom, Meet, and phone recordings are transcribed, summarized, and slotted into the right contact record. Key takeaways, objections, next steps, and sentiment — all structured fields you can report on.
- Next-step suggestions. The CRM watches the state of every deal and surfaces what should happen next — a specific follow-up, a procurement unblock, a champion to re-engage. The rep's morning starts with a ranked list, not an empty dashboard.
- Draft-first follow-ups. Every call, email, and meeting gets a pre-drafted follow-up in the rep's voice, referencing the specific conversation. Rep edits and sends — doesn't write from scratch.
- Pipeline intelligence. Deals that have gone quiet, deals missing a budget holder, deals stuck too long at a stage — all surface automatically with a reason and a suggested fix. No more "pipeline reviews" that are really data-hygiene sessions.
03 — Built around your sales motion
Not every team needs opportunity stages and MEDDPICC.
We start by watching how your team actually sells. Long-cycle enterprise with procurement gates? Different system than high-velocity SMB outbound. A services firm with a referral motion? Different again. The schema, the pipeline logic, the reporting — all tailored.
You don't get a "sales cloud" with 1,400 fields, 90% of them unused. You get a CRM that matches the motion you run and gets out of your team's way.
04 — Migration
We handle the hard part.
Migration is where most CRM projects die. We've moved teams off Salesforce, HubSpot, Pipedrive, Close, Attio, and Airtable — pulling data, mapping it, cleaning duplicates and malformed records with AI, and loading it into the new system before cutover. You get a dry-run environment to validate for a week before you switch over.
FAQ
Before you ask.
What makes a CRM "AI-native"?
AI-native means AI is part of the data model and the core workflow — not a feature bolted on. Every record is auto-enriched from public sources and your email. Every call gets summarized. Every stale deal surfaces itself. The rep doesn't trigger AI — AI runs continuously in the background and hands work to the rep when it's ready.
Why not just use Salesforce or HubSpot?
For many teams, those are fine. But if your sales motion is unusual, your rep-to-deal-value ratio is low, or you're paying for seats you never use, custom often wins. A purpose-built CRM with 40% of the features you'd never use removed is faster for reps and cheaper long-term.
How long does a custom CRM build take?
Typical builds run 8–16 weeks depending on integrations. A focused MVP — contact + company + pipeline + two integrations + AI enrichment — ships in 6–8 weeks. Larger engagements add reporting, forecasting, and deeper workflows from there.
Can we migrate from our existing CRM?
Yes. We've migrated from Salesforce, HubSpot, Pipedrive, Close, Attio, and Airtable. The migration is part of the engagement — we pull your data, map it, clean it with AI where useful, and load it into the new system before cutover.
What does a custom CRM cost vs. Salesforce?
Build cost is typically $60k–$180k fixed-fee. Ongoing cost is hosting + model usage (usually $400–$2,000/month for most teams). No per-seat pricing. Break-even against Salesforce Enterprise seats is usually 12–24 months, and cheaper forever after.
Who owns the system and the data?
You own everything — the code, the database, the schema, the deployment. Hosted in your cloud account. We deliver the full system with documentation so your team (or any developer) can maintain it.
Outgrown your CRM?
Let's talk about what a custom system could look like.
Bring us your sales motion, your current stack, and your biggest friction points. We'll tell you whether custom is the right call — or whether you'd be better off tuning what you have.
Start the conversation →