Claude
CRM data goes into the LLM. Text comes out. No specialization, no compounding — just two endpoints.
Claude
just now
Help me work through my Acme deal.
Acme Corp · £180k · Procurement stage. Buyer is Emily Chen. Champion went quiet 9 days ago. Want me to draft a follow-up?
Yes please.
Here's a draft re-engaging Emily and proposing a CFO intro…
Ask Claude anything…
↑
Reece
Point solutions, a data-science layer, a vertical ML layer, sales tooling, the LLM, and an execution layer — each one compounding on the next.
Reece
live
✓
Analysed 2,140 closed deals from your team.
✓
Benchmarked Acme against 18 closed-won lookalikes.
✓
Modelled 3 next-move scenarios. CFO intro recommended.
✓
Drafted 3 assets, queued for your review:
Email draft
Re: Q1 Proposal
Hi Emily, thanks for the heads up on Q2 timing. I'd love to loop in your new CFO directly…
to: emily.chen@acme.com
Slack alert
#deals · @sarah.lopez
⚠ Acme slip risk. Champion silence + new CFO. Lookalike pattern: 18 wins.
manager loop
Salesforce
Acme Corp · £180k
Risk: At-risk · Close: Q2 2026 · New contact: CFO
forecast updated
Real data science. Already done.
The difference
Three differences that change everything for a sales team in practice.
01
Claude
Waits for you to ask.
Then helps.
vs
Reece
Acts on every signal.
Without being asked.
02
Claude
Reads the CRM. Reasons.
No analysis. No prediction.
vs
Reece
Analyses every deal pattern.
Benchmarks. Models scenarios. Predicts.
03
Claude
vs
Reece
Learns from the deals you've won and lost.
Sharper on your team every month.
Scenario
An email from the buyer drops into your inbox at 4:47pm on a Friday. Here's what each does.
Inbox · 4:47pm Friday
From
Emily Chen <emily.chen@acmecorp.com>
Subject
Re: Q1 Proposal · pushing to Q2
Hey,
Thanks for the proposal. We're going to need to push the decision into Q2. Legal wants more
time and Sarah's now looping in our new CFO.
Best,
Emily
With Claude
Helpful, if you remember to ask.
You open Claude. You start the conversation.
Claude
4:48pm
Emily wants to push to Q2. How do I respond?
I can see the Acme deal in your CRM. £180k, Procurement stage.
New CFO entered the conversation. Want me to draft a reply
addressing Legal and proposing a CFO intro?
Yes, please.
Here's a draft: "Dear Emily, thanks for the heads up…"
Ask Claude anything…
↑
A capable assistant. But you noticed the email. You opened Claude. You drove every query. And by Monday the slip risk has been live for three days.
With Reece
Already on it,
before you read the email.
No prompt. No paste. Reece is already inside the deal.
Reece
4:47pm · already on it
✓
Analysed the email. Acme deal context loaded. New CFO flagged.
✓
Benchmarked: closest match is 18 closed-won deals where the CFO
entered late.
✓
Modelled 3 response scenarios. CFO intro: highest predicted close
rate.
✓
Slip risk alerted to your manager in Slack.
✓
Drafted the reply: addresses Legal, proposes CFO intro, holds price.
✓
Salesforce updated: close date, risk status, new contact.
All before you opened the email.
Monday morning, the deal is alive, the work is queued for your review, and your CRM is already correct.
Capabilities
The things that take a chatbot from "useful drafting tool" to "actually moves your number."
01
Sees every deal you're working.
02
Flags risks before they kill the deal.
Champion gone quiet for nine days. New procurement contact looping in. Discount conversation starting too early. Reece spots the warning signs and tells you what to do about them.
03
Tells you the next move, with the email already drafted.
Not generic advice. The specific next action for this deal: who to email, what to say, what to send. Drafted in your voice, ready to review and send. Then pushed to Salesforce.
04
Learns from your wins and losses.
Reece watches what your team accepts, edits and dismisses. And which deals close. It learns what works on your buyers, in your deals, with your sales motion. Month over month, it gets sharper.
How it compares
What you actually get with each, in plain English.
What it does
Claude
Reece
When it acts
When you remember to ask
Proactively, before risks become problems
Deal awareness
Reads CRM when you ask
Watches every deal continuously across CRM,
email, calls, calendar, Slack
Memory
Resets each conversation
Persistent state across every call, email and deal
Data science layer
None. Pure LLM reasoning.
Pattern analysis, benchmarking, scenario
modelling, predictive ML
Doing the work
Helps when you ask. You drive every step.
Drafts emails, schedules meetings, updates CRM,
alerts the team
Learns your business
One model for everyone. Doesn't learn your wins.
Trained on your team's wins and losses. Sharper
every month.
Best for
Reasoning, drafting, answering when prompted
Running B2B deals from first call to close
What's actually built
Reasoning is a commodity. This isn't reasoning.
Anyone can prompt an AI to think about a deal. That's not what Reece is. We've built vertical data science, purpose-built for sales execution and trained specifically on your team's wins and losses.
Every recommendation Reece makes carries the combined experience of every deal your team has ever closed. Every pattern. Every signal. Every winning move. The institutional knowledge that usually walks out the door when your top rep leaves.
01
Vertical to sales. Not a general- purpose tool.
02
Calibrated to your team. Not anyone else's.
03
Trained on outcomes. Sharper every quarter.
The decision quality of every rep, every manager, every closed deal. Compounded into one place. Available on every deal.
62×
ROI in production. Right now.
Connect your CRM and we'll show you the next action, the draft, and the risk Reece would surface on a real opportunity in your pipeline. In under 20 minutes.
